diff --git a/.github/workflows/build_package.yml b/.github/workflows/build_package.yml
index 0938d77821cdd4cffe9271d362981cf5c1528484..df70b19b574679b0341a13932504d25a5b31d943 100644
--- a/.github/workflows/build_package.yml
+++ b/.github/workflows/build_package.yml
@@ -28,8 +28,6 @@ jobs:
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- cache: "poetry"
- cache-dependency-path: "**/poetry.lock"
- name: Install deps
shell: bash
run: poetry install
diff --git a/.gitignore b/.gitignore
index 21b06b209efcb0e1a566c8e657dbe523769b0b92..391819bfa9c977d77f6930efb31b14af64669a56 100644
--- a/.gitignore
+++ b/.gitignore
@@ -15,3 +15,4 @@ credentials.json
token.json
.python-version
.DS_Store
+/storage/
diff --git a/CHANGELOG.md b/CHANGELOG.md
index bb1e6d31c2c1417556f7b8683e1202cdb04523d4..3c5f4c4b9c17c7631079df63552b1d4319f944e1 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,17 @@
# ChangeLog
+## [2024-08-22]
+
+### `llama-index-core` [0.11.0]
+
+- removed deprecated `ServiceContext` -- using this now will print an error with a link to the migration guide
+- removed deprecated `LLMPredictor` -- using this now will print an error, any existing LLM is a drop-in replacement
+- made `pandas` an optional dependency
+
+### `Everything Else`
+
+- bumped the minor version of every package to account for the new version of `llama-index-core`
+
## [2024-08-21]
### `llama-index-core` [0.10.68]
diff --git a/docs/BUILD b/docs/BUILD
new file mode 100644
index 0000000000000000000000000000000000000000..589a3826065572eb43f4b32057eb865b39d65aa5
--- /dev/null
+++ b/docs/BUILD
@@ -0,0 +1,9 @@
+python_sources()
+
+poetry_requirements(
+ name="poetry",
+)
+
+python_requirements(
+ name="reqs",
+)
diff --git a/llama-index-cli/llama_index/cli/rag/base.py b/llama-index-cli/llama_index/cli/rag/base.py
index 03b4942a756734d4d0d7f87fc6cb57ee16549e42..5fe5e878893b6a265df60e39b14ea2d0162822bd 100644
--- a/llama-index-cli/llama_index/cli/rag/base.py
+++ b/llama-index-cli/llama_index/cli/rag/base.py
@@ -7,6 +7,7 @@ from pathlib import Path
from typing import Any, Callable, Dict, Optional, Union, cast
from llama_index.core import (
+ Settings,
SimpleDirectoryReader,
VectorStoreIndex,
)
@@ -16,9 +17,8 @@ from llama_index.core.base.response.schema import (
StreamingResponse,
Response,
)
-from llama_index.core.bridge.pydantic import BaseModel, Field, validator
+from llama_index.core.bridge.pydantic import BaseModel, Field, field_validator
from llama_index.core.chat_engine import CondenseQuestionChatEngine
-from llama_index.core.indices.service_context import ServiceContext
from llama_index.core.ingestion import IngestionPipeline
from llama_index.core.llms import LLM
from llama_index.core.query_engine import CustomQueryEngine
@@ -100,7 +100,7 @@ class RagCLI(BaseModel):
class Config:
arbitrary_types_allowed = True
- @validator("query_pipeline", always=True)
+ @field_validator("query_pipeline", mode="before")
def query_pipeline_from_ingestion_pipeline(
cls, query_pipeline: Any, values: Dict[str, Any]
) -> Optional[QueryPipeline]:
@@ -127,15 +127,13 @@ class RagCLI(BaseModel):
embed_model = transformation
break
- service_context = ServiceContext.from_defaults(
- llm=llm, embed_model=embed_model or "default"
- )
+ Settings.llm = llm
+ Settings.embed_model = embed_model
+
retriever = VectorStoreIndex.from_vector_store(
- ingestion_pipeline.vector_store, service_context=service_context
+ ingestion_pipeline.vector_store,
).as_retriever(similarity_top_k=8)
- response_synthesizer = CompactAndRefine(
- service_context=service_context, streaming=True, verbose=verbose
- )
+ response_synthesizer = CompactAndRefine(streaming=True, verbose=verbose)
# define query pipeline
query_pipeline = QueryPipeline(verbose=verbose)
@@ -151,7 +149,7 @@ class RagCLI(BaseModel):
query_pipeline.add_link("query", "summarizer", dest_key="query_str")
return query_pipeline
- @validator("chat_engine", always=True)
+ @field_validator("chat_engine", mode="before")
def chat_engine_from_query_pipeline(
cls, chat_engine: Any, values: Dict[str, Any]
) -> Optional[CondenseQuestionChatEngine]:
diff --git a/llama-index-cli/llama_index/cli/upgrade/mappings.json b/llama-index-cli/llama_index/cli/upgrade/mappings.json
index 49f02af9fe8968457569cbd405b04da16776cd98..5713b22e50cace3d7e3fb255b3727d349adc30b3 100644
--- a/llama-index-cli/llama_index/cli/upgrade/mappings.json
+++ b/llama-index-cli/llama_index/cli/upgrade/mappings.json
@@ -1,6 +1,5 @@
{
"StorageContext": "llama_index.core",
- "ServiceContext": "llama_index.core",
"ComposableGraph": "llama_index.core",
"# indicesSummaryIndex": "llama_index.core",
"VectorStoreIndex": "llama_index.core",
diff --git a/llama-index-cli/pyproject.toml b/llama-index-cli/pyproject.toml
index 0a850a056b9066a79046cc0e8c7b754a15425619..4bc41f2ba72571a4762cf76ba2bed0ecf3d8cbbb 100644
--- a/llama-index-cli/pyproject.toml
+++ b/llama-index-cli/pyproject.toml
@@ -32,13 +32,13 @@ maintainers = [
name = "llama-index-cli"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.13"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.11.post1"
-llama-index-embeddings-openai = "^0.1.1"
-llama-index-llms-openai = "^0.1.1"
+llama-index-core = "^0.11.0"
+llama-index-embeddings-openai = "^0.2.0"
+llama-index-llms-openai = "^0.2.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-core/llama_index/core/__init__.py b/llama-index-core/llama_index/core/__init__.py
index 96947b641d954ff7972e069989c0ca46016c8bbe..896d29aadd1ea13286d110497f99f4c66babbc46 100644
--- a/llama-index-core/llama_index/core/__init__.py
+++ b/llama-index-core/llama_index/core/__init__.py
@@ -1,6 +1,6 @@
"""Init file of LlamaIndex."""
-__version__ = "0.10.68.post1"
+__version__ = "0.11.0"
import logging
from logging import NullHandler
@@ -152,8 +152,5 @@ global_handler: Optional[BaseCallbackHandler] = None
# NOTE: keep for backwards compatibility
SQLContextBuilder = SQLDocumentContextBuilder
-# global service context for ServiceContext.from_defaults()
-global_service_context: Optional[ServiceContext] = None
-
# global tokenizer
global_tokenizer: Optional[Callable[[str], list]] = None
diff --git a/llama-index-core/llama_index/core/agent/custom/pipeline_worker.py b/llama-index-core/llama_index/core/agent/custom/pipeline_worker.py
index 3bbfaeb0b7324a3f2067c5064a3596c5a6e3178b..d7feca5d340eb935befcb2b85f41d38d827ac197 100644
--- a/llama-index-core/llama_index/core/agent/custom/pipeline_worker.py
+++ b/llama-index-core/llama_index/core/agent/custom/pipeline_worker.py
@@ -15,7 +15,7 @@ from llama_index.core.agent.types import (
TaskStepOutput,
)
from llama_index.core.base.query_pipeline.query import QueryComponent
-from llama_index.core.bridge.pydantic import BaseModel, Field
+from llama_index.core.bridge.pydantic import BaseModel, Field, ConfigDict
from llama_index.core.callbacks import (
CallbackManager,
trace_method,
@@ -72,14 +72,12 @@ class QueryPipelineAgentWorker(BaseModel, BaseAgentWorker):
"""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
pipeline: QueryPipeline = Field(..., description="Query pipeline")
callback_manager: CallbackManager = Field(..., exclude=True)
task_key: str = Field("task", description="Key to store task in state")
step_state_key: str = Field("step_state", description="Key to store step in state")
- class Config:
- arbitrary_types_allowed = True
-
def __init__(
self,
pipeline: QueryPipeline,
diff --git a/llama-index-core/llama_index/core/agent/custom/simple.py b/llama-index-core/llama_index/core/agent/custom/simple.py
index 06dc1e542c5360935ed5e6537fd0778e586fae33..f7a164b0e286815c547a5bae8afde0281ed335d2 100644
--- a/llama-index-core/llama_index/core/agent/custom/simple.py
+++ b/llama-index-core/llama_index/core/agent/custom/simple.py
@@ -19,7 +19,7 @@ from llama_index.core.agent.types import (
TaskStep,
TaskStepOutput,
)
-from llama_index.core.bridge.pydantic import BaseModel, Field, PrivateAttr
+from llama_index.core.bridge.pydantic import BaseModel, Field, PrivateAttr, ConfigDict
from llama_index.core.callbacks import (
CallbackManager,
trace_method,
@@ -55,6 +55,7 @@ class CustomSimpleAgentWorker(BaseModel, BaseAgentWorker):
"""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
tools: Sequence[BaseTool] = Field(..., description="Tools to use for reasoning")
llm: LLM = Field(..., description="LLM to use")
callback_manager: CallbackManager = Field(
@@ -67,9 +68,6 @@ class CustomSimpleAgentWorker(BaseModel, BaseAgentWorker):
_get_tools: Callable[[str], Sequence[BaseTool]] = PrivateAttr()
- class Config:
- arbitrary_types_allowed = True
-
def __init__(
self,
tools: Sequence[BaseTool],
@@ -79,18 +77,7 @@ class CustomSimpleAgentWorker(BaseModel, BaseAgentWorker):
tool_retriever: Optional[ObjectRetriever[BaseTool]] = None,
**kwargs: Any,
) -> None:
- if len(tools) > 0 and tool_retriever is not None:
- raise ValueError("Cannot specify both tools and tool_retriever")
- elif len(tools) > 0:
- self._get_tools = lambda _: tools
- elif tool_retriever is not None:
- tool_retriever_c = cast(ObjectRetriever[BaseTool], tool_retriever)
- self._get_tools = lambda message: tool_retriever_c.retrieve(message)
- else:
- self._get_tools = lambda _: []
-
callback_manager = callback_manager or CallbackManager([])
-
super().__init__(
tools=tools,
llm=llm,
@@ -100,6 +87,16 @@ class CustomSimpleAgentWorker(BaseModel, BaseAgentWorker):
**kwargs,
)
+ if len(tools) > 0 and tool_retriever is not None:
+ raise ValueError("Cannot specify both tools and tool_retriever")
+ elif len(tools) > 0:
+ self._get_tools = lambda _: tools
+ elif tool_retriever is not None:
+ tool_retriever_c = cast(ObjectRetriever[BaseTool], tool_retriever)
+ self._get_tools = lambda message: tool_retriever_c.retrieve(message)
+ else:
+ self._get_tools = lambda _: []
+
@classmethod
def from_tools(
cls,
diff --git a/llama-index-core/llama_index/core/agent/custom/simple_function.py b/llama-index-core/llama_index/core/agent/custom/simple_function.py
index 562690c911c166db03c4d5ccfd55afce960b0436..8d704a91554f2bf7fbc5f3128ef3ea71687f5b4e 100644
--- a/llama-index-core/llama_index/core/agent/custom/simple_function.py
+++ b/llama-index-core/llama_index/core/agent/custom/simple_function.py
@@ -16,7 +16,7 @@ from llama_index.core.agent.types import (
TaskStep,
TaskStepOutput,
)
-from llama_index.core.bridge.pydantic import BaseModel, Field
+from llama_index.core.bridge.pydantic import BaseModel, Field, ConfigDict
from llama_index.core.callbacks import (
CallbackManager,
trace_method,
@@ -44,6 +44,7 @@ class FnAgentWorker(BaseModel, BaseAgentWorker):
"""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
fn: Callable = Field(..., description="Function to run.")
async_fn: Optional[Callable] = Field(
None, description="Async function to run. If not provided, will run `fn`."
@@ -56,9 +57,6 @@ class FnAgentWorker(BaseModel, BaseAgentWorker):
verbose: bool = Field(False, description="Verbose mode.")
- class Config:
- arbitrary_types_allowed = True
-
def __init__(
self,
fn: Callable,
diff --git a/llama-index-core/llama_index/core/agent/react/formatter.py b/llama-index-core/llama_index/core/agent/react/formatter.py
index 808299c4e3afdb889731e7288fca0a696d3b1403..1de4fa744e05b0dd038d885fdda75dd37f5dc084 100644
--- a/llama-index-core/llama_index/core/agent/react/formatter.py
+++ b/llama-index-core/llama_index/core/agent/react/formatter.py
@@ -13,7 +13,7 @@ from llama_index.core.agent.react.types import (
ObservationReasoningStep,
)
from llama_index.core.base.llms.types import ChatMessage, MessageRole
-from llama_index.core.bridge.pydantic import BaseModel
+from llama_index.core.bridge.pydantic import BaseModel, ConfigDict
from llama_index.core.tools import BaseTool
logger = logging.getLogger(__name__)
@@ -36,8 +36,7 @@ def get_react_tool_descriptions(tools: Sequence[BaseTool]) -> List[str]:
class BaseAgentChatFormatter(BaseModel):
"""Base chat formatter."""
- class Config:
- arbitrary_types_allowed = True
+ model_config = ConfigDict(arbitrary_types_allowed=True)
@abstractmethod
def format(
diff --git a/llama-index-core/llama_index/core/base/agent/types.py b/llama-index-core/llama_index/core/base/agent/types.py
index 38c5921ba1b2ab55c3515ebde162d64f95209fc6..91973a15ffd040e48be2bcac77ab6e1632ad23ff 100644
--- a/llama-index-core/llama_index/core/base/agent/types.py
+++ b/llama-index-core/llama_index/core/base/agent/types.py
@@ -7,7 +7,12 @@ from typing import Any, Dict, List, Optional, TYPE_CHECKING
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.llms.types import ChatMessage
from llama_index.core.base.response.schema import RESPONSE_TYPE, Response
-from llama_index.core.bridge.pydantic import BaseModel, Field
+from llama_index.core.bridge.pydantic import (
+ BaseModel,
+ Field,
+ SerializeAsAny,
+ ConfigDict,
+)
from llama_index.core.callbacks import CallbackManager, trace_method
from llama_index.core.chat_engine.types import (
BaseChatEngine,
@@ -80,11 +85,11 @@ class TaskStep(BaseModel):
"""
- task_id: str = Field(..., diescription="Task ID")
+ task_id: str = Field(..., description="Task ID")
step_id: str = Field(..., description="Step ID")
input: Optional[str] = Field(default=None, description="User input")
# memory: BaseMemory = Field(
- # ..., type=BaseMemory, description="Conversational Memory"
+ # ..., description="Conversational Memory"
# )
step_state: Dict[str, Any] = Field(
default_factory=dict, description="Additional state for a given step."
@@ -155,25 +160,22 @@ class Task(BaseModel):
"""
- class Config:
- arbitrary_types_allowed = True
-
+ model_config = ConfigDict(arbitrary_types_allowed=True)
task_id: str = Field(
- default_factory=lambda: str(uuid.uuid4()), type=str, description="Task ID"
+ default_factory=lambda: str(uuid.uuid4()), description="Task ID"
)
- input: str = Field(..., type=str, description="User input")
+ input: str = Field(..., description="User input")
# NOTE: this is state that may be modified throughout the course of execution of the task
- memory: BaseMemory = Field(
+ memory: SerializeAsAny[BaseMemory] = Field(
...,
- type=BaseMemory,
description=(
"Conversational Memory. Maintains state before execution of this task."
),
)
callback_manager: CallbackManager = Field(
- default_factory=CallbackManager,
+ default_factory=lambda: CallbackManager([]),
exclude=True,
description="Callback manager for the task.",
)
@@ -190,8 +192,7 @@ class Task(BaseModel):
class BaseAgentWorker(PromptMixin, DispatcherSpanMixin):
"""Base agent worker."""
- class Config:
- arbitrary_types_allowed = True
+ model_config = ConfigDict(arbitrary_types_allowed=True)
def _get_prompts(self) -> PromptDictType:
"""Get prompts."""
diff --git a/llama-index-core/llama_index/core/base/base_query_engine.py b/llama-index-core/llama_index/core/base/base_query_engine.py
index a52ea55a76a0cca9eca3d903066560d49d188b65..0f9f204e4c9927ac83bf45aaf98fbb17dd00f695 100644
--- a/llama-index-core/llama_index/core/base/base_query_engine.py
+++ b/llama-index-core/llama_index/core/base/base_query_engine.py
@@ -12,7 +12,7 @@ from llama_index.core.base.query_pipeline.query import (
validate_and_convert_stringable,
)
from llama_index.core.base.response.schema import RESPONSE_TYPE
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, ConfigDict, SerializeAsAny
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.prompts.mixin import PromptDictType, PromptMixin
from llama_index.core.schema import NodeWithScore, QueryBundle, QueryType
@@ -108,10 +108,10 @@ class BaseQueryEngine(ChainableMixin, PromptMixin, DispatcherSpanMixin):
class QueryEngineComponent(QueryComponent):
"""Query engine component."""
- query_engine: BaseQueryEngine = Field(..., description="Query engine")
-
- class Config:
- arbitrary_types_allowed = True
+ model_config = ConfigDict(arbitrary_types_allowed=True)
+ query_engine: SerializeAsAny[BaseQueryEngine] = Field(
+ ..., description="Query engine"
+ )
def set_callback_manager(self, callback_manager: CallbackManager) -> None:
"""Set callback manager."""
diff --git a/llama-index-core/llama_index/core/base/base_retriever.py b/llama-index-core/llama_index/core/base/base_retriever.py
index 5b802fd11ef695a161d4664e194a31396c9a5067..ab891a0fd0ab61cb2a62e0227d45ebb4386a3107 100644
--- a/llama-index-core/llama_index/core/base/base_retriever.py
+++ b/llama-index-core/llama_index/core/base/base_retriever.py
@@ -11,7 +11,7 @@ from llama_index.core.base.query_pipeline.query import (
QueryComponent,
validate_and_convert_stringable,
)
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, ConfigDict
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.prompts.mixin import (
@@ -27,7 +27,6 @@ from llama_index.core.schema import (
QueryType,
TextNode,
)
-from llama_index.core.service_context import ServiceContext
from llama_index.core.settings import Settings
from llama_index.core.utils import print_text
from llama_index.core.instrumentation import DispatcherSpanMixin
@@ -213,7 +212,10 @@ class BaseRetriever(ChainableMixin, PromptMixin, DispatcherSpanMixin):
return [
n
for n in retrieved_nodes
- if not ((n.node.hash, n.node.ref_doc_id) in seen or seen.add((n.node.hash, n.node.ref_doc_id))) # type: ignore[func-returns-value]
+ if not (
+ (n.node.hash, n.node.ref_doc_id) in seen
+ or seen.add((n.node.hash, n.node.ref_doc_id))
+ ) # type: ignore[func-returns-value]
]
@dispatcher.span
@@ -304,19 +306,6 @@ class BaseRetriever(ChainableMixin, PromptMixin, DispatcherSpanMixin):
"""
return self._retrieve(query_bundle)
- def get_service_context(self) -> Optional[ServiceContext]:
- """Attempts to resolve a service context.
- Short-circuits at self.service_context, self._service_context,
- or self._index.service_context.
- """
- if hasattr(self, "service_context"):
- return self.service_context
- if hasattr(self, "_service_context"):
- return self._service_context
- elif hasattr(self, "_index") and hasattr(self._index, "service_context"):
- return self._index.service_context
- return None
-
def _as_query_component(self, **kwargs: Any) -> QueryComponent:
"""Return a query component."""
return RetrieverComponent(retriever=self)
@@ -325,11 +314,9 @@ class BaseRetriever(ChainableMixin, PromptMixin, DispatcherSpanMixin):
class RetrieverComponent(QueryComponent):
"""Retriever component."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
retriever: BaseRetriever = Field(..., description="Retriever")
- class Config:
- arbitrary_types_allowed = True
-
def set_callback_manager(self, callback_manager: CallbackManager) -> None:
"""Set callback manager."""
self.retriever.callback_manager = callback_manager
diff --git a/llama-index-core/llama_index/core/base/embeddings/base.py b/llama-index-core/llama_index/core/base/embeddings/base.py
index 7a206a1ed28a0feec6a4811c123387b2f3272cb3..240fc33c81e09ef5ed9f783f68b55b579143ba6f 100644
--- a/llama-index-core/llama_index/core/base/embeddings/base.py
+++ b/llama-index-core/llama_index/core/base/embeddings/base.py
@@ -6,7 +6,11 @@ from enum import Enum
from typing import Any, Callable, Coroutine, List, Optional, Tuple
import numpy as np
-from llama_index.core.bridge.pydantic import Field, validator
+from llama_index.core.bridge.pydantic import (
+ Field,
+ ConfigDict,
+ field_validator,
+)
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.constants import (
@@ -63,6 +67,9 @@ def similarity(
class BaseEmbedding(TransformComponent, DispatcherSpanMixin):
"""Base class for embeddings."""
+ model_config = ConfigDict(
+ protected_namespaces=("pydantic_model_",), arbitrary_types_allowed=True
+ )
model_name: str = Field(
default="unknown", description="The name of the embedding model."
)
@@ -70,7 +77,7 @@ class BaseEmbedding(TransformComponent, DispatcherSpanMixin):
default=DEFAULT_EMBED_BATCH_SIZE,
description="The batch size for embedding calls.",
gt=0,
- lte=2048,
+ le=2048,
)
callback_manager: CallbackManager = Field(
default_factory=lambda: CallbackManager([]), exclude=True
@@ -80,13 +87,9 @@ class BaseEmbedding(TransformComponent, DispatcherSpanMixin):
description="The number of workers to use for async embedding calls.",
)
- class Config:
- arbitrary_types_allowed = True
-
- @validator("callback_manager", pre=True)
- def _validate_callback_manager(
- cls, v: Optional[CallbackManager]
- ) -> CallbackManager:
+ @field_validator("callback_manager")
+ @classmethod
+ def check_callback_manager(cls, v: CallbackManager) -> CallbackManager:
if v is None:
return CallbackManager([])
return v
diff --git a/llama-index-core/llama_index/core/base/llms/base.py b/llama-index-core/llama_index/core/base/llms/base.py
index cf4b6dea8669b26608d65f74b3285c898b1df5f1..cca8a8d78065eaac64f20de794a3221f77ce4a1d 100644
--- a/llama-index-core/llama_index/core/base/llms/base.py
+++ b/llama-index-core/llama_index/core/base/llms/base.py
@@ -17,7 +17,7 @@ from llama_index.core.base.llms.types import (
from llama_index.core.base.query_pipeline.query import (
ChainableMixin,
)
-from llama_index.core.bridge.pydantic import Field, validator
+from llama_index.core.bridge.pydantic import Field, model_validator, ConfigDict
from llama_index.core.callbacks import CallbackManager
from llama_index.core.instrumentation import DispatcherSpanMixin
from llama_index.core.schema import BaseComponent
@@ -26,18 +26,16 @@ from llama_index.core.schema import BaseComponent
class BaseLLM(ChainableMixin, BaseComponent, DispatcherSpanMixin):
"""BaseLLM interface."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
callback_manager: CallbackManager = Field(
- default_factory=CallbackManager, exclude=True
+ default_factory=lambda: CallbackManager([]), exclude=True
)
- class Config:
- arbitrary_types_allowed = True
-
- @validator("callback_manager", pre=True)
- def _validate_callback_manager(cls, v: CallbackManager) -> CallbackManager:
- if v is None:
- return CallbackManager([])
- return v
+ @model_validator(mode="after")
+ def check_callback_manager(self) -> "BaseLLM":
+ if self.callback_manager is None:
+ self.callback_manager = CallbackManager([])
+ return self
@property
@abstractmethod
diff --git a/llama-index-core/llama_index/core/base/llms/types.py b/llama-index-core/llama_index/core/base/llms/types.py
index 3195c2bab5338bd89cf0183e0be49b5e3a25afa0..ca6f58b5439a19e443741c48d7c15e6fcc5a433f 100644
--- a/llama-index-core/llama_index/core/base/llms/types.py
+++ b/llama-index-core/llama_index/core/base/llms/types.py
@@ -1,7 +1,7 @@
from enum import Enum
from typing import Any, AsyncGenerator, Generator, Optional, Union, List, Any
-from llama_index.core.bridge.pydantic import BaseModel, Field
+from llama_index.core.bridge.pydantic import BaseModel, Field, ConfigDict
from llama_index.core.constants import DEFAULT_CONTEXT_WINDOW, DEFAULT_NUM_OUTPUTS
try:
@@ -49,7 +49,7 @@ class ChatMessage(BaseModel):
def _recursive_serialization(self, value: Any) -> Any:
if isinstance(value, (V1BaseModel, V2BaseModel)):
- return value.dict()
+ return value.model_dump()
if isinstance(value, dict):
return {
key: self._recursive_serialization(value)
@@ -60,8 +60,11 @@ class ChatMessage(BaseModel):
return value
def dict(self, **kwargs: Any) -> dict:
+ return self.model_dump(**kwargs)
+
+ def model_dump(self, **kwargs: Any) -> dict:
# ensure all additional_kwargs are serializable
- msg = super().dict(**kwargs)
+ msg = super().model_dump(**kwargs)
for key, value in msg.get("additional_kwargs", {}).items():
value = self._recursive_serialization(value)
@@ -129,6 +132,9 @@ CompletionResponseAsyncGen = AsyncGenerator[CompletionResponse, None]
class LLMMetadata(BaseModel):
+ model_config = ConfigDict(
+ protected_namespaces=("pydantic_model_",), arbitrary_types_allowed=True
+ )
context_window: int = Field(
default=DEFAULT_CONTEXT_WINDOW,
description=(
diff --git a/llama-index-core/llama_index/core/base/query_pipeline/query.py b/llama-index-core/llama_index/core/base/query_pipeline/query.py
index fd5de0bd0e00eb207e12d424eb4faca115001550..19bc95e55f6a5e07147679e77ca32df2f6eaaade 100644
--- a/llama-index-core/llama_index/core/base/query_pipeline/query.py
+++ b/llama-index-core/llama_index/core/base/query_pipeline/query.py
@@ -20,7 +20,7 @@ from llama_index.core.base.llms.types import (
CompletionResponse,
)
from llama_index.core.base.response.schema import Response
-from llama_index.core.bridge.pydantic import BaseModel, Field
+from llama_index.core.bridge.pydantic import BaseModel, Field, ConfigDict
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.schema import NodeWithScore, QueryBundle, TextNode
@@ -243,13 +243,11 @@ class QueryComponent(BaseModel):
class CustomQueryComponent(QueryComponent):
"""Custom query component."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
callback_manager: CallbackManager = Field(
default_factory=CallbackManager, description="Callback manager"
)
- class Config:
- arbitrary_types_allowed = True
-
def set_callback_manager(self, callback_manager: CallbackManager) -> None:
"""Set callback manager."""
self.callback_manager = callback_manager
diff --git a/llama-index-core/llama_index/core/base/response/schema.py b/llama-index-core/llama_index/core/base/response/schema.py
index 84e071e6f67fce763d43aec452422d9d0edcde6f..ed8cc936a5183e6b233ccab8383a4aaa354c9f12 100644
--- a/llama-index-core/llama_index/core/base/response/schema.py
+++ b/llama-index-core/llama_index/core/base/response/schema.py
@@ -58,11 +58,11 @@ class PydanticResponse:
def __str__(self) -> str:
"""Convert to string representation."""
- return self.response.json() if self.response else "None"
+ return self.response.model_dump_json() if self.response else "None"
def __getattr__(self, name: str) -> Any:
"""Get attribute, but prioritize the pydantic response object."""
- if self.response is not None and name in self.response.dict():
+ if self.response is not None and name in self.response.model_dump():
return getattr(self.response, name)
else:
return None
@@ -97,7 +97,7 @@ class PydanticResponse:
def get_response(self) -> Response:
"""Get a standard response object."""
- response_txt = self.response.json() if self.response else "None"
+ response_txt = self.response.model_dump_json() if self.response else "None"
return Response(response_txt, self.source_nodes, self.metadata)
diff --git a/llama-index-core/llama_index/core/bridge/pydantic.py b/llama-index-core/llama_index/core/bridge/pydantic.py
index 6bd61da8b415def30459848e8572a7ddb849719b..b0c4078e3f0ce558893967e96cb395243b948240 100644
--- a/llama-index-core/llama_index/core/bridge/pydantic.py
+++ b/llama-index-core/llama_index/core/bridge/pydantic.py
@@ -1,54 +1,61 @@
-try:
- import pydantic.v1 as pydantic
- from pydantic.v1 import (
- BaseConfig,
- BaseModel,
- Field,
- PrivateAttr,
- StrictFloat,
- StrictInt,
- StrictStr,
- create_model,
- root_validator,
- validator,
- parse_obj_as,
- )
- from pydantic.v1.error_wrappers import ValidationError
- from pydantic.v1.fields import FieldInfo
- from pydantic.v1.generics import GenericModel
-except ImportError:
- import pydantic # type: ignore
- from pydantic import (
- BaseConfig,
- BaseModel,
- Field,
- PrivateAttr,
- StrictFloat,
- StrictInt,
- StrictStr,
- create_model,
- root_validator,
- validator,
- parse_obj_as,
- )
- from pydantic.error_wrappers import ValidationError
- from pydantic.fields import FieldInfo
- from pydantic.generics import GenericModel
+import pydantic
+from pydantic import (
+ ConfigDict,
+ BaseModel,
+ GetJsonSchemaHandler,
+ GetCoreSchemaHandler,
+ Field,
+ PlainSerializer,
+ PrivateAttr,
+ StrictFloat,
+ StrictInt,
+ StrictStr,
+ create_model,
+ model_validator,
+ field_validator,
+ ValidationInfo,
+ ValidationError,
+ TypeAdapter,
+ WithJsonSchema,
+ BeforeValidator,
+ SerializeAsAny,
+ WrapSerializer,
+ field_serializer,
+ Secret,
+ SecretStr,
+ model_serializer,
+)
+from pydantic.fields import FieldInfo
+from pydantic.json_schema import JsonSchemaValue
__all__ = [
"pydantic",
"BaseModel",
+ "ConfigDict",
+ "GetJsonSchemaHandler",
+ "GetCoreSchemaHandler",
"Field",
+ "PlainSerializer",
"PrivateAttr",
- "root_validator",
- "validator",
+ "model_validator",
+ "field_validator",
"create_model",
"StrictFloat",
"StrictInt",
"StrictStr",
"FieldInfo",
+ "ValidationInfo",
+ "TypeAdapter",
"ValidationError",
- "GenericModel",
+ "WithJsonSchema",
"BaseConfig",
"parse_obj_as",
+ "BeforeValidator",
+ "JsonSchemaValue",
+ "SerializeAsAny",
+ "WrapSerializer",
+ "field_serializer",
+ "Secret",
+ "SecretStr",
+ "model_serializer",
]
diff --git a/llama-index-core/llama_index/core/bridge/pydantic_core.py b/llama-index-core/llama_index/core/bridge/pydantic_core.py
new file mode 100644
index 0000000000000000000000000000000000000000..454f89de44a1ba426e8f40e1c767c1e976404c1b
--- /dev/null
+++ b/llama-index-core/llama_index/core/bridge/pydantic_core.py
@@ -0,0 +1,5 @@
+import pydantic_core
+
+from pydantic_core import CoreSchema, core_schema
+
+__all__ = ["pydantic_core", "CoreSchema", "core_schema"]
diff --git a/llama-index-core/llama_index/core/bridge/pydantic_settings.py b/llama-index-core/llama_index/core/bridge/pydantic_settings.py
new file mode 100644
index 0000000000000000000000000000000000000000..82da3f4c3763f2ff35cfdeb7e08988cf3db1a345
--- /dev/null
+++ b/llama-index-core/llama_index/core/bridge/pydantic_settings.py
@@ -0,0 +1,5 @@
+import pydantic_settings
+
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+__all__ = ["pydantic_settings", "BaseSettings", "SettingsConfigDict"]
diff --git a/llama-index-core/llama_index/core/callbacks/base.py b/llama-index-core/llama_index/core/callbacks/base.py
index fcf27287474b58244cf4d9537692d70d9658baec..97139ef45dce6539c759d135d78f1fcd171bcc3e 100644
--- a/llama-index-core/llama_index/core/callbacks/base.py
+++ b/llama-index-core/llama_index/core/callbacks/base.py
@@ -4,7 +4,7 @@ from abc import ABC
from collections import defaultdict
from contextlib import contextmanager
from contextvars import ContextVar
-from typing import Any, Dict, Generator, List, Optional, cast
+from typing import Any, Dict, Generator, List, Optional, cast, Type
from llama_index.core.callbacks.base_handler import BaseCallbackHandler
from llama_index.core.callbacks.schema import (
@@ -13,6 +13,11 @@ from llama_index.core.callbacks.schema import (
CBEventType,
EventPayload,
)
+from llama_index.core.bridge.pydantic import (
+ GetCoreSchemaHandler,
+ GetJsonSchemaHandler,
+)
+from llama_index.core.bridge.pydantic_core import CoreSchema, core_schema
logger = logging.getLogger(__name__)
global_stack_trace = ContextVar("trace", default=[BASE_TRACE_EVENT])
@@ -148,11 +153,6 @@ class CallbackManager(BaseCallbackHandler, ABC):
"""Set handlers as the only handlers on the callback manager."""
self.handlers = handlers
- @classmethod
- def __modify_schema__(cls, schema: Dict[str, Any]) -> None:
- """Avoids serialization errors."""
- schema.update(type="object", default={})
-
@contextmanager
def event(
self,
@@ -250,6 +250,19 @@ class CallbackManager(BaseCallbackHandler, ABC):
def trace_map(self) -> Dict[str, List[str]]:
return self._trace_map
+ @classmethod
+ def __get_pydantic_core_schema__(
+ cls, source: Type[Any], handler: GetCoreSchemaHandler
+ ) -> CoreSchema:
+ return core_schema.any_schema()
+
+ @classmethod
+ def __get_pydantic_json_schema__(
+ cls, core_schema: CoreSchema, handler: GetJsonSchemaHandler
+ ) -> Dict[str, Any]:
+ json_schema = handler(core_schema)
+ return handler.resolve_ref_schema(json_schema)
+
class EventContext:
"""
diff --git a/llama-index-core/llama_index/core/chat_engine/condense_plus_context.py b/llama-index-core/llama_index/core/chat_engine/condense_plus_context.py
index 12017102a7d83a0739816d1a3099d51d65a73a20..720ab0c9926c6ff76ed0c2ed8585a6d2f850a8dc 100644
--- a/llama-index-core/llama_index/core/chat_engine/condense_plus_context.py
+++ b/llama-index-core/llama_index/core/chat_engine/condense_plus_context.py
@@ -12,18 +12,13 @@ from llama_index.core.chat_engine.types import (
)
from llama_index.core.indices.base_retriever import BaseRetriever
from llama_index.core.indices.query.schema import QueryBundle
-from llama_index.core.indices.service_context import ServiceContext
from llama_index.core.base.llms.generic_utils import messages_to_history_str
from llama_index.core.llms.llm import LLM
from llama_index.core.memory import BaseMemory, ChatMemoryBuffer
from llama_index.core.postprocessor.types import BaseNodePostprocessor
from llama_index.core.prompts.base import PromptTemplate
from llama_index.core.schema import MetadataMode, NodeWithScore
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.types import Thread
from llama_index.core.utilities.token_counting import TokenCounter
@@ -98,7 +93,6 @@ class CondensePlusContextChatEngine(BaseChatEngine):
cls,
retriever: BaseRetriever,
llm: Optional[LLM] = None,
- service_context: Optional[ServiceContext] = None,
chat_history: Optional[List[ChatMessage]] = None,
memory: Optional[BaseMemory] = None,
system_prompt: Optional[str] = None,
@@ -110,7 +104,7 @@ class CondensePlusContextChatEngine(BaseChatEngine):
**kwargs: Any,
) -> "CondensePlusContextChatEngine":
"""Initialize a CondensePlusContextChatEngine from default parameters."""
- llm = llm or llm_from_settings_or_context(Settings, service_context)
+ llm = llm or Settings.llm
chat_history = chat_history or []
memory = memory or ChatMemoryBuffer.from_defaults(
@@ -124,9 +118,7 @@ class CondensePlusContextChatEngine(BaseChatEngine):
context_prompt=context_prompt,
condense_prompt=condense_prompt,
skip_condense=skip_condense,
- callback_manager=callback_manager_from_settings_or_context(
- Settings, service_context
- ),
+ callback_manager=Settings.callback_manager,
node_postprocessors=node_postprocessors,
system_prompt=system_prompt,
verbose=verbose,
diff --git a/llama-index-core/llama_index/core/chat_engine/condense_question.py b/llama-index-core/llama_index/core/chat_engine/condense_question.py
index b618b301477a98ae60239456b28fe850059258e8..81f92de61c396845edcd7e8a632576d57e044c97 100644
--- a/llama-index-core/llama_index/core/chat_engine/condense_question.py
+++ b/llama-index-core/llama_index/core/chat_engine/condense_question.py
@@ -23,13 +23,8 @@ from llama_index.core.base.llms.generic_utils import messages_to_history_str
from llama_index.core.llms.llm import LLM
from llama_index.core.memory import BaseMemory, ChatMemoryBuffer
from llama_index.core.prompts.base import BasePromptTemplate, PromptTemplate
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.service_context_elements.llm_predictor import LLMPredictorType
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
+
from llama_index.core.tools import ToolOutput
from llama_index.core.types import Thread
@@ -66,7 +61,7 @@ class CondenseQuestionChatEngine(BaseChatEngine):
query_engine: BaseQueryEngine,
condense_question_prompt: BasePromptTemplate,
memory: BaseMemory,
- llm: LLMPredictorType,
+ llm: LLM,
verbose: bool = False,
callback_manager: Optional[CallbackManager] = None,
) -> None:
@@ -85,7 +80,6 @@ class CondenseQuestionChatEngine(BaseChatEngine):
chat_history: Optional[List[ChatMessage]] = None,
memory: Optional[BaseMemory] = None,
memory_cls: Type[BaseMemory] = ChatMemoryBuffer,
- service_context: Optional[ServiceContext] = None,
verbose: bool = False,
system_prompt: Optional[str] = None,
prefix_messages: Optional[List[ChatMessage]] = None,
@@ -95,7 +89,7 @@ class CondenseQuestionChatEngine(BaseChatEngine):
"""Initialize a CondenseQuestionChatEngine from default parameters."""
condense_question_prompt = condense_question_prompt or DEFAULT_PROMPT
- llm = llm or llm_from_settings_or_context(Settings, service_context)
+ llm = llm or Settings.llm
chat_history = chat_history or []
memory = memory or memory_cls.from_defaults(chat_history=chat_history, llm=llm)
@@ -115,9 +109,7 @@ class CondenseQuestionChatEngine(BaseChatEngine):
memory,
llm,
verbose=verbose,
- callback_manager=callback_manager_from_settings_or_context(
- Settings, service_context
- ),
+ callback_manager=Settings.callback_manager,
)
def _condense_question(
diff --git a/llama-index-core/llama_index/core/chat_engine/context.py b/llama-index-core/llama_index/core/chat_engine/context.py
index 21338cb4f4858b6ef734f0e8ecd2e466c7107040..6197381a0a985498c6933a38542b95628b2b8003 100644
--- a/llama-index-core/llama_index/core/chat_engine/context.py
+++ b/llama-index-core/llama_index/core/chat_engine/context.py
@@ -14,11 +14,8 @@ from llama_index.core.llms.llm import LLM
from llama_index.core.memory import BaseMemory, ChatMemoryBuffer
from llama_index.core.postprocessor.types import BaseNodePostprocessor
from llama_index.core.schema import MetadataMode, NodeWithScore, QueryBundle
-from llama_index.core.service_context import ServiceContext
from llama_index.core.settings import (
Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
)
from llama_index.core.types import Thread
@@ -63,7 +60,6 @@ class ContextChatEngine(BaseChatEngine):
def from_defaults(
cls,
retriever: BaseRetriever,
- service_context: Optional[ServiceContext] = None,
chat_history: Optional[List[ChatMessage]] = None,
memory: Optional[BaseMemory] = None,
system_prompt: Optional[str] = None,
@@ -74,7 +70,7 @@ class ContextChatEngine(BaseChatEngine):
**kwargs: Any,
) -> "ContextChatEngine":
"""Initialize a ContextChatEngine from default parameters."""
- llm = llm or llm_from_settings_or_context(Settings, service_context)
+ llm = llm or Settings.llm
chat_history = chat_history or []
memory = memory or ChatMemoryBuffer.from_defaults(
@@ -99,9 +95,7 @@ class ContextChatEngine(BaseChatEngine):
memory=memory,
prefix_messages=prefix_messages,
node_postprocessors=node_postprocessors,
- callback_manager=callback_manager_from_settings_or_context(
- Settings, service_context
- ),
+ callback_manager=Settings.callback_manager,
context_template=context_template,
)
diff --git a/llama-index-core/llama_index/core/chat_engine/simple.py b/llama-index-core/llama_index/core/chat_engine/simple.py
index 9ebfc90e1e66408d71cfdf6b35e6fc3e28e50710..9b717e7ab4cacba7041b8257800ef39f2905193c 100644
--- a/llama-index-core/llama_index/core/chat_engine/simple.py
+++ b/llama-index-core/llama_index/core/chat_engine/simple.py
@@ -10,12 +10,7 @@ from llama_index.core.chat_engine.types import (
)
from llama_index.core.llms.llm import LLM
from llama_index.core.memory import BaseMemory, ChatMemoryBuffer
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.types import Thread
@@ -48,12 +43,10 @@ class SimpleChatEngine(BaseChatEngine):
system_prompt: Optional[str] = None,
prefix_messages: Optional[List[ChatMessage]] = None,
llm: Optional[LLM] = None,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> "SimpleChatEngine":
"""Initialize a SimpleChatEngine from default parameters."""
- llm = llm or llm_from_settings_or_context(Settings, service_context)
+ llm = llm or Settings.llm
chat_history = chat_history or []
memory = memory or memory_cls.from_defaults(chat_history=chat_history, llm=llm)
@@ -73,9 +66,7 @@ class SimpleChatEngine(BaseChatEngine):
llm=llm,
memory=memory,
prefix_messages=prefix_messages,
- callback_manager=callback_manager_from_settings_or_context(
- Settings, service_context
- ),
+ callback_manager=Settings.callback_manager,
)
@trace_method("chat")
diff --git a/llama-index-core/llama_index/core/command_line/mappings.json b/llama-index-core/llama_index/core/command_line/mappings.json
index 49f02af9fe8968457569cbd405b04da16776cd98..fe732aa3728f1f682b1c96ab56cd56ad723a6ac6 100644
--- a/llama-index-core/llama_index/core/command_line/mappings.json
+++ b/llama-index-core/llama_index/core/command_line/mappings.json
@@ -1,6 +1,5 @@
{
"StorageContext": "llama_index.core",
- "ServiceContext": "llama_index.core",
"ComposableGraph": "llama_index.core",
"# indicesSummaryIndex": "llama_index.core",
"VectorStoreIndex": "llama_index.core",
@@ -50,7 +49,6 @@
"load_indices_from_storage": "llama_index.core",
"QueryBundle": "llama_index.core",
"get_response_synthesizer": "llama_index.core",
- "set_global_service_context": "llama_index.core",
"set_global_handler": "llama_index.core",
"set_global_tokenizer": "llama_index.core",
"get_tokenizer": "llama_index.core",
diff --git a/llama-index-core/llama_index/core/composability/joint_qa_summary.py b/llama-index-core/llama_index/core/composability/joint_qa_summary.py
index c3ac03922b3abd971a1628d6e935c60fadb7f2b5..ab117aa58ae516d91a267d64b14695a5ade9a2f5 100644
--- a/llama-index-core/llama_index/core/composability/joint_qa_summary.py
+++ b/llama-index-core/llama_index/core/composability/joint_qa_summary.py
@@ -1,6 +1,5 @@
"""Joint QA Summary graph."""
-
from typing import List, Optional, Sequence
from llama_index.core.base.embeddings.base import BaseEmbedding
@@ -11,14 +10,7 @@ from llama_index.core.ingestion import run_transformations
from llama_index.core.llms.llm import LLM
from llama_index.core.query_engine.router_query_engine import RouterQueryEngine
from llama_index.core.schema import Document, TransformComponent
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- embed_model_from_settings_or_context,
- llm_from_settings_or_context,
- transformations_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.storage.storage_context import StorageContext
from llama_index.core.tools.query_engine import QueryEngineTool
@@ -39,8 +31,6 @@ class QASummaryQueryEngineBuilder:
Args:
docstore (BaseDocumentStore): A BaseDocumentStore to use for storing nodes.
- service_context (ServiceContext): A ServiceContext to use for
- building indices.
summary_text (str): Text to use for the summary index.
qa_text (str): Text to use for the QA index.
node_parser (NodeParser): A NodeParser to use for parsing.
@@ -56,25 +46,14 @@ class QASummaryQueryEngineBuilder:
storage_context: Optional[StorageContext] = None,
summary_text: str = DEFAULT_SUMMARY_TEXT,
qa_text: str = DEFAULT_QA_TEXT,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> None:
"""Init params."""
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
- self._callback_manager = (
- callback_manager
- or callback_manager_from_settings_or_context(Settings, service_context)
- )
- self._embed_model = embed_model or embed_model_from_settings_or_context(
- Settings, service_context
- )
- self._transformations = (
- transformations
- or transformations_from_settings_or_context(Settings, service_context)
- )
+ self._llm = llm or Settings.llm
+ self._callback_manager = callback_manager or Settings.callback_manager
+ self._embed_model = embed_model or Settings.embed_model
+ self._transformations = transformations or Settings.transformations
self._storage_context = storage_context or StorageContext.from_defaults()
- self._service_context = service_context
self._summary_text = summary_text
self._qa_text = qa_text
@@ -94,22 +73,13 @@ class QASummaryQueryEngineBuilder:
nodes=nodes,
transformations=self._transformations,
embed_model=self._embed_model,
- service_context=self._service_context,
- storage_context=self._storage_context,
- )
- summary_index = SummaryIndex(
- nodes,
- service_context=self._service_context,
storage_context=self._storage_context,
)
+ summary_index = SummaryIndex(nodes, storage_context=self._storage_context)
- vector_query_engine = vector_index.as_query_engine(
- llm=self._llm, service_context=self._service_context
- )
+ vector_query_engine = vector_index.as_query_engine(llm=self._llm)
list_query_engine = summary_index.as_query_engine(
- llm=self._llm,
- service_context=self._service_context,
- response_mode="tree_summarize",
+ llm=self._llm, response_mode="tree_summarize"
)
# build query engine
@@ -123,6 +93,5 @@ class QASummaryQueryEngineBuilder:
list_query_engine, description=self._summary_text
),
],
- service_context=self._service_context,
select_multi=False,
)
diff --git a/llama-index-core/llama_index/core/evaluation/answer_relevancy.py b/llama-index-core/llama_index/core/evaluation/answer_relevancy.py
index 4240d3821057c46d473fd129c920ad243af3ae3e..775da73296cbb1488c720a499bca2cb8fbfcd584 100644
--- a/llama-index-core/llama_index/core/evaluation/answer_relevancy.py
+++ b/llama-index-core/llama_index/core/evaluation/answer_relevancy.py
@@ -1,16 +1,16 @@
"""Relevancy evaluation."""
+
from __future__ import annotations
import asyncio
import re
from typing import Any, Callable, Optional, Sequence, Tuple
-from llama_index.core.indices.service_context import ServiceContext
from llama_index.core.evaluation.base import BaseEvaluator, EvaluationResult
from llama_index.core.llms.llm import LLM
from llama_index.core.prompts import BasePromptTemplate, PromptTemplate
from llama_index.core.prompts.mixin import PromptDictType
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+from llama_index.core.settings import Settings
DEFAULT_EVAL_TEMPLATE = PromptTemplate(
"Your task is to evaluate if the response is relevant to the query.\n"
@@ -53,8 +53,6 @@ class AnswerRelevancyEvaluator(BaseEvaluator):
This evaluator considers the query string and response string.
Args:
- service_context(Optional[ServiceContext]):
- The service context to use for evaluation.
raise_error(Optional[bool]):
Whether to raise an error if the response is invalid.
Defaults to False.
@@ -73,11 +71,9 @@ class AnswerRelevancyEvaluator(BaseEvaluator):
parser_function: Callable[
[str], Tuple[Optional[float], Optional[str]]
] = _default_parser_function,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> None:
"""Init params."""
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._raise_error = raise_error
self._eval_template: BasePromptTemplate
diff --git a/llama-index-core/llama_index/core/evaluation/context_relevancy.py b/llama-index-core/llama_index/core/evaluation/context_relevancy.py
index cc55b76728f3cea23575a7009fc0144e760832ec..3c4ef6e9b15b2fa7b28562342a0eee035379760c 100644
--- a/llama-index-core/llama_index/core/evaluation/context_relevancy.py
+++ b/llama-index-core/llama_index/core/evaluation/context_relevancy.py
@@ -1,4 +1,5 @@
"""Relevancy evaluation."""
+
from __future__ import annotations
import asyncio
@@ -11,8 +12,7 @@ from llama_index.core.llms.llm import LLM
from llama_index.core.prompts import BasePromptTemplate, PromptTemplate
from llama_index.core.prompts.mixin import PromptDictType
from llama_index.core.schema import Document
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+
DEFAULT_EVAL_TEMPLATE = PromptTemplate(
"Your task is to evaluate if the retrieved context from the document sources are relevant to the query.\n"
@@ -70,8 +70,6 @@ class ContextRelevancyEvaluator(BaseEvaluator):
This evaluator considers the query string and retrieved contexts.
Args:
- service_context(Optional[ServiceContext]):
- The service context to use for evaluation.
raise_error(Optional[bool]):
Whether to raise an error if the response is invalid.
Defaults to False.
@@ -91,11 +89,11 @@ class ContextRelevancyEvaluator(BaseEvaluator):
parser_function: Callable[
[str], Tuple[Optional[float], Optional[str]]
] = _default_parser_function,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> None:
"""Init params."""
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ from llama_index.core import Settings
+
+ self._llm = llm or Settings.llm
self._raise_error = raise_error
self._eval_template: BasePromptTemplate
diff --git a/llama-index-core/llama_index/core/evaluation/correctness.py b/llama-index-core/llama_index/core/evaluation/correctness.py
index bc6a693420d6995818248ebefd90fc7f33a9695e..90db1dfff40c636c0c184dc8f445e6ea9c412b64 100644
--- a/llama-index-core/llama_index/core/evaluation/correctness.py
+++ b/llama-index-core/llama_index/core/evaluation/correctness.py
@@ -1,4 +1,5 @@
"""Correctness evaluation."""
+
import asyncio
from typing import Any, Callable, Optional, Sequence, Tuple, Union
@@ -13,8 +14,7 @@ from llama_index.core.prompts import (
PromptTemplate,
)
from llama_index.core.prompts.mixin import PromptDictType
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+from llama_index.core.settings import Settings
DEFAULT_SYSTEM_TEMPLATE = """
You are an expert evaluation system for a question answering chatbot.
@@ -78,7 +78,6 @@ class CorrectnessEvaluator(BaseEvaluator):
Passing is defined as a score greater than or equal to the given threshold.
Args:
- service_context (Optional[ServiceContext]): Service context.
eval_template (Optional[Union[BasePromptTemplate, str]]):
Template for the evaluation prompt.
score_threshold (float): Numerical threshold for passing the evaluation,
@@ -90,13 +89,11 @@ class CorrectnessEvaluator(BaseEvaluator):
llm: Optional[LLM] = None,
eval_template: Optional[Union[BasePromptTemplate, str]] = None,
score_threshold: float = 4.0,
- # deprecated
- service_context: Optional[ServiceContext] = None,
parser_function: Callable[
[str], Tuple[Optional[float], Optional[str]]
] = default_parser,
) -> None:
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._eval_template: BasePromptTemplate
if isinstance(eval_template, str):
diff --git a/llama-index-core/llama_index/core/evaluation/dataset_generation.py b/llama-index-core/llama_index/core/evaluation/dataset_generation.py
index 8844b94003a8332b5fed3a15489f0acbd2d7dc06..5925c81e0897bf0ca94de9927a9922cffe8716c8 100644
--- a/llama-index-core/llama_index/core/evaluation/dataset_generation.py
+++ b/llama-index-core/llama_index/core/evaluation/dataset_generation.py
@@ -99,7 +99,7 @@ class QueryResponseDataset(BaseModel):
def save_json(self, path: str) -> None:
"""Save json."""
with open(path, "w") as f:
- json.dump(self.dict(), f, indent=4)
+ json.dump(self.model_dump(), f, indent=4)
@classmethod
def from_json(cls, path: str) -> QueryResponseDataset:
diff --git a/llama-index-core/llama_index/core/evaluation/eval_utils.py b/llama-index-core/llama_index/core/evaluation/eval_utils.py
index 8d6df1f611d694075f7a72c5f3b6460201e51e7a..e2601efc681ed12c30f5dda0039e675da01222c6 100644
--- a/llama-index-core/llama_index/core/evaluation/eval_utils.py
+++ b/llama-index-core/llama_index/core/evaluation/eval_utils.py
@@ -10,7 +10,6 @@ from collections import defaultdict
from typing import Any, Dict, List, Optional, Tuple, TYPE_CHECKING
import numpy as np
-import pandas as pd
from llama_index.core.async_utils import asyncio_module, asyncio_run
from llama_index.core.base.base_query_engine import BaseQueryEngine
@@ -47,7 +46,7 @@ def get_responses(
def get_results_df(
eval_results_list: List[EvaluationResult], names: List[str], metric_keys: List[str]
-) -> pd.DataFrame:
+) -> Any:
"""Get results df.
Args:
@@ -59,6 +58,13 @@ def get_results_df(
List of metric keys to get.
"""
+ try:
+ import pandas as pd
+ except ImportError:
+ raise ImportError(
+ "Pandas is required to get results dataframes. Please install it with `pip install pandas`."
+ )
+
metric_dict = defaultdict(list)
metric_dict["names"] = names
for metric_key in metric_keys:
diff --git a/llama-index-core/llama_index/core/evaluation/faithfulness.py b/llama-index-core/llama_index/core/evaluation/faithfulness.py
index 9805c6b259e48729e3aae6b0446f838105b65245..51a732681d690a237c1b04d61ebfec14f6f2c3d9 100644
--- a/llama-index-core/llama_index/core/evaluation/faithfulness.py
+++ b/llama-index-core/llama_index/core/evaluation/faithfulness.py
@@ -11,8 +11,7 @@ from llama_index.core.llms.llm import LLM
from llama_index.core.prompts import BasePromptTemplate, PromptTemplate
from llama_index.core.prompts.mixin import PromptDictType
from llama_index.core.schema import Document
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+from llama_index.core.settings import Settings
DEFAULT_EVAL_TEMPLATE = PromptTemplate(
"Please tell if a given piece of information "
@@ -106,8 +105,6 @@ class FaithfulnessEvaluator(BaseEvaluator):
This evaluator only considers the response string and the list of context strings.
Args:
- service_context(Optional[ServiceContext]):
- The service context to use for evaluation.
raise_error(bool): Whether to raise an error when the response is invalid.
Defaults to False.
eval_template(Optional[Union[str, BasePromptTemplate]]):
@@ -122,11 +119,9 @@ class FaithfulnessEvaluator(BaseEvaluator):
raise_error: bool = False,
eval_template: Optional[Union[str, BasePromptTemplate]] = None,
refine_template: Optional[Union[str, BasePromptTemplate]] = None,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> None:
"""Init params."""
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._raise_error = raise_error
self._eval_template: BasePromptTemplate
diff --git a/llama-index-core/llama_index/core/evaluation/guideline.py b/llama-index-core/llama_index/core/evaluation/guideline.py
index 13f3f6cc9443d53ef10ccae9e30431f14f67916c..7216b7b9fcac273562df85a803a64420b92a88e9 100644
--- a/llama-index-core/llama_index/core/evaluation/guideline.py
+++ b/llama-index-core/llama_index/core/evaluation/guideline.py
@@ -1,4 +1,5 @@
"""Guideline evaluation."""
+
import asyncio
import logging
from typing import Any, Optional, Sequence, Union, cast
@@ -9,8 +10,7 @@ from llama_index.core.llms.llm import LLM
from llama_index.core.output_parsers import PydanticOutputParser
from llama_index.core.prompts import BasePromptTemplate, PromptTemplate
from llama_index.core.prompts.mixin import PromptDictType
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+from llama_index.core.settings import Settings
logger = logging.getLogger(__name__)
@@ -46,8 +46,6 @@ class GuidelineEvaluator(BaseEvaluator):
This evaluator only considers the query string and the response string.
Args:
- service_context(Optional[ServiceContext]):
- The service context to use for evaluation.
guidelines(Optional[str]): User-added guidelines to use for evaluation.
Defaults to None, which uses the default guidelines.
eval_template(Optional[Union[str, BasePromptTemplate]] ):
@@ -60,10 +58,8 @@ class GuidelineEvaluator(BaseEvaluator):
guidelines: Optional[str] = None,
eval_template: Optional[Union[str, BasePromptTemplate]] = None,
output_parser: Optional[PydanticOutputParser] = None,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> None:
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._guidelines = guidelines or DEFAULT_GUIDELINES
self._eval_template: BasePromptTemplate
diff --git a/llama-index-core/llama_index/core/evaluation/notebook_utils.py b/llama-index-core/llama_index/core/evaluation/notebook_utils.py
index 9377d4efcbc8afe63baba7620a26bea257df8e81..06c86bf7a9482f33880bb5a9d246bb7d332b898e 100644
--- a/llama-index-core/llama_index/core/evaluation/notebook_utils.py
+++ b/llama-index-core/llama_index/core/evaluation/notebook_utils.py
@@ -1,9 +1,8 @@
"""Notebook utils."""
from collections import defaultdict
-from typing import List, Optional, Tuple
+from typing import Any, List, Optional, Tuple
-import pandas as pd
from llama_index.core.evaluation import EvaluationResult
from llama_index.core.evaluation.retrieval.base import RetrievalEvalResult
@@ -14,8 +13,15 @@ def get_retrieval_results_df(
names: List[str],
results_arr: List[List[RetrievalEvalResult]],
metric_keys: Optional[List[str]] = None,
-) -> pd.DataFrame:
+) -> Any:
"""Display retrieval results."""
+ try:
+ import pandas as pd
+ except ImportError:
+ raise ImportError(
+ "pandas is required for this function. Please install it with `pip install pandas`."
+ )
+
metric_keys = metric_keys or DEFAULT_METRIC_KEYS
avg_metrics_dict = defaultdict(list)
@@ -36,7 +42,7 @@ def get_retrieval_results_df(
def get_eval_results_df(
names: List[str], results_arr: List[EvaluationResult], metric: Optional[str] = None
-) -> Tuple[pd.DataFrame, pd.DataFrame]:
+) -> Tuple[Any, Any]:
"""Organizes EvaluationResults into a deep dataframe and computes the mean
score.
@@ -44,6 +50,13 @@ def get_eval_results_df(
result_df: pd.DataFrame representing all the evaluation results
mean_df: pd.DataFrame of average scores groupby names
"""
+ try:
+ import pandas as pd
+ except ImportError:
+ raise ImportError(
+ "pandas is required for this function. Please install it with `pip install pandas`."
+ )
+
if len(names) != len(results_arr):
raise ValueError("names and results_arr must have same length.")
diff --git a/llama-index-core/llama_index/core/evaluation/pairwise.py b/llama-index-core/llama_index/core/evaluation/pairwise.py
index 049258700e72440fe48e0f546638eb0b7be0ce8b..cd78221e6465b45be289c9fa4574fb309c9fe284 100644
--- a/llama-index-core/llama_index/core/evaluation/pairwise.py
+++ b/llama-index-core/llama_index/core/evaluation/pairwise.py
@@ -17,8 +17,7 @@ from llama_index.core.prompts import (
PromptTemplate,
)
from llama_index.core.prompts.mixin import PromptDictType
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+from llama_index.core.settings import Settings
DEFAULT_SYSTEM_TEMPLATE = (
"Please act as an impartial judge and evaluate the quality of the responses provided by two "
@@ -99,8 +98,6 @@ class PairwiseComparisonEvaluator(BaseEvaluator):
Outputs whether the `response` given is better than the `reference` response.
Args:
- service_context (Optional[ServiceContext]):
- The service context to use for evaluation.
eval_template (Optional[Union[str, BasePromptTemplate]]):
The template to use for evaluation.
enforce_consensus (bool): Whether to enforce consensus (consistency if we
@@ -116,10 +113,8 @@ class PairwiseComparisonEvaluator(BaseEvaluator):
[str], Tuple[Optional[bool], Optional[float], Optional[str]]
] = _default_parser_function,
enforce_consensus: bool = True,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> None:
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._eval_template: BasePromptTemplate
if isinstance(eval_template, str):
diff --git a/llama-index-core/llama_index/core/evaluation/relevancy.py b/llama-index-core/llama_index/core/evaluation/relevancy.py
index b7ef4cc06713e42b8098e574d517eb1fc6d5311a..f8ca088eb53b2a07258de98d59da5719bd6ea171 100644
--- a/llama-index-core/llama_index/core/evaluation/relevancy.py
+++ b/llama-index-core/llama_index/core/evaluation/relevancy.py
@@ -1,4 +1,5 @@
"""Relevancy evaluation."""
+
from __future__ import annotations
import asyncio
@@ -10,8 +11,7 @@ from llama_index.core.llms.llm import LLM
from llama_index.core.prompts import BasePromptTemplate, PromptTemplate
from llama_index.core.prompts.mixin import PromptDictType
from llama_index.core.schema import Document
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+from llama_index.core.settings import Settings
DEFAULT_EVAL_TEMPLATE = PromptTemplate(
"Your task is to evaluate if the response for the query \
@@ -46,8 +46,6 @@ class RelevancyEvaluator(BaseEvaluator):
This evaluator considers the query string, retrieved contexts, and response string.
Args:
- service_context(Optional[ServiceContext]):
- The service context to use for evaluation.
raise_error(Optional[bool]):
Whether to raise an error if the response is invalid.
Defaults to False.
@@ -63,11 +61,9 @@ class RelevancyEvaluator(BaseEvaluator):
raise_error: bool = False,
eval_template: Optional[Union[str, BasePromptTemplate]] = None,
refine_template: Optional[Union[str, BasePromptTemplate]] = None,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> None:
"""Init params."""
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._raise_error = raise_error
self._eval_template: BasePromptTemplate
diff --git a/llama-index-core/llama_index/core/evaluation/retrieval/base.py b/llama-index-core/llama_index/core/evaluation/retrieval/base.py
index 817583875088661d0f22d0f3b5e4c5a4db4c8e26..66d1ce139bc7e0aa5db8461796e853063dcb3e01 100644
--- a/llama-index-core/llama_index/core/evaluation/retrieval/base.py
+++ b/llama-index-core/llama_index/core/evaluation/retrieval/base.py
@@ -6,7 +6,7 @@ from enum import Enum
from typing import Any, Dict, List, Optional, Tuple
from llama_index.core.async_utils import asyncio_run
-from llama_index.core.bridge.pydantic import BaseModel, Field
+from llama_index.core.bridge.pydantic import BaseModel, Field, ConfigDict
from llama_index.core.evaluation.retrieval.metrics import resolve_metrics
from llama_index.core.evaluation.retrieval.metrics_base import (
BaseRetrievalMetric,
@@ -47,9 +47,7 @@ class RetrievalEvalResult(BaseModel):
"""
- class Config:
- arbitrary_types_allowed = True
-
+ model_config = ConfigDict(arbitrary_types_allowed=True)
query: str = Field(..., description="Query string")
expected_ids: List[str] = Field(..., description="Expected ids")
expected_texts: Optional[List[str]] = Field(
@@ -78,13 +76,11 @@ class RetrievalEvalResult(BaseModel):
class BaseRetrievalEvaluator(BaseModel):
"""Base Retrieval Evaluator class."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
metrics: List[BaseRetrievalMetric] = Field(
..., description="List of metrics to evaluate"
)
- class Config:
- arbitrary_types_allowed = True
-
@classmethod
def from_metric_names(
cls, metric_names: List[str], **kwargs: Any
diff --git a/llama-index-core/llama_index/core/evaluation/retrieval/evaluator.py b/llama-index-core/llama_index/core/evaluation/retrieval/evaluator.py
index 95b7e12b8d4cbf6c261b546780dc17bef21954b8..c4f75222feb0eaf7fc3f3fd06ab5532c86f5af63 100644
--- a/llama-index-core/llama_index/core/evaluation/retrieval/evaluator.py
+++ b/llama-index-core/llama_index/core/evaluation/retrieval/evaluator.py
@@ -3,7 +3,7 @@
from typing import Any, List, Optional, Sequence, Tuple
from llama_index.core.base.base_retriever import BaseRetriever
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, SerializeAsAny
from llama_index.core.evaluation.retrieval.base import (
BaseRetrievalEvaluator,
RetrievalEvalMode,
@@ -30,7 +30,7 @@ class RetrieverEvaluator(BaseRetrievalEvaluator):
"""
retriever: BaseRetriever = Field(..., description="Retriever to evaluate")
- node_postprocessors: Optional[List[BaseNodePostprocessor]] = Field(
+ node_postprocessors: Optional[List[SerializeAsAny[BaseNodePostprocessor]]] = Field(
default=None, description="Optional post-processor"
)
@@ -80,7 +80,7 @@ class MultiModalRetrieverEvaluator(BaseRetrievalEvaluator):
"""
retriever: BaseRetriever = Field(..., description="Retriever to evaluate")
- node_postprocessors: Optional[List[BaseNodePostprocessor]] = Field(
+ node_postprocessors: Optional[List[SerializeAsAny[BaseNodePostprocessor]]] = Field(
default=None, description="Optional post-processor"
)
diff --git a/llama-index-core/llama_index/core/evaluation/retrieval/metrics.py b/llama-index-core/llama_index/core/evaluation/retrieval/metrics.py
index 9b7d24a5f19dab9c421bfec0951788d8799f7871..c03a440cd068470f9dfcb3f84ed9a939d8ff38a0 100644
--- a/llama-index-core/llama_index/core/evaluation/retrieval/metrics.py
+++ b/llama-index-core/llama_index/core/evaluation/retrieval/metrics.py
@@ -406,8 +406,8 @@ class CohereRerankRelevancyMetric(BaseRetrievalMetric):
"Cannot import cohere package, please `pip install cohere`."
)
- self._client = Client(api_key=api_key)
super().__init__(model=model)
+ self._client = Client(api_key=api_key)
def _get_agg_func(self, agg: Literal["max", "median", "mean"]) -> Callable:
"""Get agg func."""
diff --git a/llama-index-core/llama_index/core/evaluation/retrieval/metrics_base.py b/llama-index-core/llama_index/core/evaluation/retrieval/metrics_base.py
index d51761aa96200a172836de30541b989e05960316..0131e2218030f84520ea7ca02b8a737453e3163e 100644
--- a/llama-index-core/llama_index/core/evaluation/retrieval/metrics_base.py
+++ b/llama-index-core/llama_index/core/evaluation/retrieval/metrics_base.py
@@ -1,7 +1,7 @@
from abc import ABC, abstractmethod
from typing import Any, ClassVar, Dict, List, Optional
-from llama_index.core.bridge.pydantic import BaseModel, Field
+from llama_index.core.bridge.pydantic import BaseModel, Field, ConfigDict
class RetrievalMetricResult(BaseModel):
@@ -30,6 +30,7 @@ class RetrievalMetricResult(BaseModel):
class BaseRetrievalMetric(BaseModel, ABC):
"""Base class for retrieval metrics."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
metric_name: ClassVar[str]
@abstractmethod
@@ -51,6 +52,3 @@ class BaseRetrievalMetric(BaseModel, ABC):
**kwargs: Additional keyword arguments
"""
-
- class Config:
- arbitrary_types_allowed = True
diff --git a/llama-index-core/llama_index/core/evaluation/semantic_similarity.py b/llama-index-core/llama_index/core/evaluation/semantic_similarity.py
index d66d68830ca86140826193369f5a75e609ccb060..47c3c431a87a8491f2addfd5053529ed38106053 100644
--- a/llama-index-core/llama_index/core/evaluation/semantic_similarity.py
+++ b/llama-index-core/llama_index/core/evaluation/semantic_similarity.py
@@ -7,8 +7,7 @@ from llama_index.core.base.embeddings.base import (
)
from llama_index.core.evaluation.base import BaseEvaluator, EvaluationResult
from llama_index.core.prompts.mixin import PromptDictType
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import Settings, embed_model_from_settings_or_context
+from llama_index.core.settings import Settings
class SemanticSimilarityEvaluator(BaseEvaluator):
@@ -23,7 +22,6 @@ class SemanticSimilarityEvaluator(BaseEvaluator):
https://arxiv.org/pdf/2108.06130.pdf
Args:
- service_context (Optional[ServiceContext]): Service context.
similarity_threshold (float): Embedding similarity threshold for "passing".
Defaults to 0.8.
"""
@@ -34,12 +32,9 @@ class SemanticSimilarityEvaluator(BaseEvaluator):
similarity_fn: Optional[Callable[..., float]] = None,
similarity_mode: Optional[SimilarityMode] = None,
similarity_threshold: float = 0.8,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> None:
- self._embed_model = embed_model or embed_model_from_settings_or_context(
- Settings, service_context
- )
+ self._embed_model = embed_model or Settings.embed_model
+
if similarity_fn is None:
similarity_mode = similarity_mode or SimilarityMode.DEFAULT
self._similarity_fn = lambda x, y: similarity(x, y, mode=similarity_mode)
diff --git a/llama-index-core/llama_index/core/extractors/interface.py b/llama-index-core/llama_index/core/extractors/interface.py
index 3302899f9d6eda20c11e7758113ca347d68ea8bd..f0ae27617d744bc81a33bb03bdf77c0f7871c4d4 100644
--- a/llama-index-core/llama_index/core/extractors/interface.py
+++ b/llama-index-core/llama_index/core/extractors/interface.py
@@ -1,4 +1,5 @@
"""Node parser interface."""
+
from abc import abstractmethod
from copy import deepcopy
from typing import Any, Dict, List, Optional, Sequence, cast
diff --git a/llama-index-core/llama_index/core/extractors/metadata_extractors.py b/llama-index-core/llama_index/core/extractors/metadata_extractors.py
index 1c0ba070490aed3386e6035350a9eefbfa0fc3fe..62aa04b799ac976197fe6de902f0cdf0e9cc453e 100644
--- a/llama-index-core/llama_index/core/extractors/metadata_extractors.py
+++ b/llama-index-core/llama_index/core/extractors/metadata_extractors.py
@@ -19,17 +19,19 @@ The prompts used to generate the metadata are specifically aimed to help
disambiguate the document or subsection from other similar documents or subsections.
(similar with contrastive learning)
"""
+
from typing import Any, Dict, List, Optional, Sequence, cast
from llama_index.core.async_utils import DEFAULT_NUM_WORKERS, run_jobs
-from llama_index.core.bridge.pydantic import Field, PrivateAttr
+from llama_index.core.bridge.pydantic import (
+ Field,
+ PrivateAttr,
+ SerializeAsAny,
+)
from llama_index.core.extractors.interface import BaseExtractor
from llama_index.core.llms.llm import LLM
from llama_index.core.prompts import PromptTemplate
from llama_index.core.schema import BaseNode, TextNode
-from llama_index.core.service_context_elements.llm_predictor import (
- LLMPredictorType,
-)
from llama_index.core.settings import Settings
from llama_index.core.types import BasePydanticProgram
@@ -43,6 +45,13 @@ DEFAULT_TITLE_COMBINE_TEMPLATE = """\
what is the comprehensive title for this document? Title: """
+def add_class_name(value: Any, handler, info) -> Dict[str, Any]:
+ partial_result = handler(value, info)
+ if hasattr(value, "class_name"):
+ partial_result.update({"class_name": value.class_name()})
+ return partial_result
+
+
class TitleExtractor(BaseExtractor):
"""Title extractor. Useful for long documents. Extracts `document_title`
metadata field.
@@ -56,7 +65,7 @@ class TitleExtractor(BaseExtractor):
"""
is_text_node_only: bool = False # can work for mixture of text and non-text nodes
- llm: LLMPredictorType = Field(description="The LLM to use for generation.")
+ llm: SerializeAsAny[LLM] = Field(description="The LLM to use for generation.")
nodes: int = Field(
default=5,
description="The number of nodes to extract titles from.",
@@ -75,7 +84,7 @@ class TitleExtractor(BaseExtractor):
self,
llm: Optional[LLM] = None,
# TODO: llm_predictor arg is deprecated
- llm_predictor: Optional[LLMPredictorType] = None,
+ llm_predictor: Optional[LLM] = None,
nodes: int = 5,
node_template: str = DEFAULT_TITLE_NODE_TEMPLATE,
combine_template: str = DEFAULT_TITLE_COMBINE_TEMPLATE,
@@ -164,7 +173,7 @@ class KeywordExtractor(BaseExtractor):
prompt_template (str): template for keyword extraction
"""
- llm: LLMPredictorType = Field(description="The LLM to use for generation.")
+ llm: SerializeAsAny[LLM] = Field(description="The LLM to use for generation.")
keywords: int = Field(
default=5, description="The number of keywords to extract.", gt=0
)
@@ -178,7 +187,7 @@ class KeywordExtractor(BaseExtractor):
self,
llm: Optional[LLM] = None,
# TODO: llm_predictor arg is deprecated
- llm_predictor: Optional[LLMPredictorType] = None,
+ llm_predictor: Optional[LLM] = None,
keywords: int = 5,
prompt_template: str = DEFAULT_KEYWORD_EXTRACT_TEMPLATE,
num_workers: int = DEFAULT_NUM_WORKERS,
@@ -253,7 +262,7 @@ class QuestionsAnsweredExtractor(BaseExtractor):
embedding_only (bool): whether to use embedding only
"""
- llm: LLMPredictorType = Field(description="The LLM to use for generation.")
+ llm: SerializeAsAny[LLM] = Field(description="The LLM to use for generation.")
questions: int = Field(
default=5,
description="The number of questions to generate.",
@@ -271,7 +280,7 @@ class QuestionsAnsweredExtractor(BaseExtractor):
self,
llm: Optional[LLM] = None,
# TODO: llm_predictor arg is deprecated
- llm_predictor: Optional[LLMPredictorType] = None,
+ llm_predictor: Optional[LLM] = None,
questions: int = 5,
prompt_template: str = DEFAULT_QUESTION_GEN_TMPL,
embedding_only: bool = True,
@@ -341,7 +350,7 @@ class SummaryExtractor(BaseExtractor):
prompt_template (str): template for summary extraction
"""
- llm: LLMPredictorType = Field(description="The LLM to use for generation.")
+ llm: SerializeAsAny[LLM] = Field(description="The LLM to use for generation.")
summaries: List[str] = Field(
description="List of summaries to extract: 'self', 'prev', 'next'"
)
@@ -358,7 +367,7 @@ class SummaryExtractor(BaseExtractor):
self,
llm: Optional[LLM] = None,
# TODO: llm_predictor arg is deprecated
- llm_predictor: Optional[LLMPredictorType] = None,
+ llm_predictor: Optional[LLM] = None,
summaries: List[str] = ["self"],
prompt_template: str = DEFAULT_SUMMARY_EXTRACT_TEMPLATE,
num_workers: int = DEFAULT_NUM_WORKERS,
@@ -367,9 +376,6 @@ class SummaryExtractor(BaseExtractor):
# validation
if not all(s in ["self", "prev", "next"] for s in summaries):
raise ValueError("summaries must be one of ['self', 'prev', 'next']")
- self._self_summary = "self" in summaries
- self._prev_summary = "prev" in summaries
- self._next_summary = "next" in summaries
super().__init__(
llm=llm or llm_predictor or Settings.llm,
@@ -379,6 +385,10 @@ class SummaryExtractor(BaseExtractor):
**kwargs,
)
+ self._self_summary = "self" in summaries
+ self._prev_summary = "prev" in summaries
+ self._next_summary = "next" in summaries
+
@classmethod
def class_name(cls) -> str:
return "SummaryExtractor"
@@ -460,7 +470,7 @@ class PydanticProgramExtractor(BaseExtractor):
"""
- program: BasePydanticProgram = Field(
+ program: SerializeAsAny[BasePydanticProgram] = Field(
..., description="Pydantic program to extract."
)
input_key: str = Field(
diff --git a/llama-index-core/llama_index/core/graph_stores/simple_labelled.py b/llama-index-core/llama_index/core/graph_stores/simple_labelled.py
index 6595b8ba2ad7f6b1b13d18a1546aeb9756a4135f..de4bd0f8f2deb4920ad4361e55b68dad303b58cd 100644
--- a/llama-index-core/llama_index/core/graph_stores/simple_labelled.py
+++ b/llama-index-core/llama_index/core/graph_stores/simple_labelled.py
@@ -166,7 +166,7 @@ class SimplePropertyGraphStore(PropertyGraphStore):
if fs is None:
fs = fsspec.filesystem("file")
with fs.open(persist_path, "w") as f:
- f.write(self.graph.json())
+ f.write(self.graph.model_dump_json())
@classmethod
def from_persist_path(
@@ -205,9 +205,9 @@ class SimplePropertyGraphStore(PropertyGraphStore):
kg_nodes = {}
for id, node_dict in node_dicts.items():
if "name" in node_dict:
- kg_nodes[id] = EntityNode.parse_obj(node_dict)
+ kg_nodes[id] = EntityNode.model_validate(node_dict)
elif "text" in node_dict:
- kg_nodes[id] = ChunkNode.parse_obj(node_dict)
+ kg_nodes[id] = ChunkNode.model_validate(node_dict)
else:
raise ValueError(f"Could not infer node type for data: {node_dict!s}")
@@ -215,7 +215,7 @@ class SimplePropertyGraphStore(PropertyGraphStore):
data["nodes"] = {}
# load the graph
- graph = LabelledPropertyGraph.parse_obj(data)
+ graph = LabelledPropertyGraph.model_validate(data)
# add the node back
graph.nodes = kg_nodes
@@ -224,7 +224,7 @@ class SimplePropertyGraphStore(PropertyGraphStore):
def to_dict(self) -> dict:
"""Convert to dict."""
- return self.graph.dict()
+ return self.graph.model_dump()
# NOTE: Unimplemented methods for SimplePropertyGraphStore
diff --git a/llama-index-core/llama_index/core/indices/base.py b/llama-index-core/llama_index/core/indices/base.py
index 5d45c1948b996b7d8f5fbfcd7f4a50b965f94c42..0a8cfe24ce9483a20123ce6196cd491bfa000aa2 100644
--- a/llama-index-core/llama_index/core/indices/base.py
+++ b/llama-index-core/llama_index/core/indices/base.py
@@ -12,13 +12,7 @@ from llama_index.core.data_structs.data_structs import IndexStruct
from llama_index.core.ingestion import run_transformations
from llama_index.core.llms.utils import LLMType, resolve_llm
from llama_index.core.schema import BaseNode, Document, IndexNode, TransformComponent
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
- transformations_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.storage.docstore.types import BaseDocumentStore, RefDocInfo
from llama_index.core.storage.storage_context import StorageContext
@@ -34,9 +28,6 @@ class BaseIndex(Generic[IS], ABC):
Args:
nodes (List[Node]): List of nodes to index
show_progress (bool): Whether to show tqdm progress bars. Defaults to False.
- service_context (ServiceContext): Service context container (contains
- components like LLM, Embeddings, etc.).
-
"""
index_struct_cls: Type[IS]
@@ -50,8 +41,6 @@ class BaseIndex(Generic[IS], ABC):
callback_manager: Optional[CallbackManager] = None,
transformations: Optional[List[TransformComponent]] = None,
show_progress: bool = False,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> None:
"""Initialize with parameters."""
@@ -71,17 +60,11 @@ class BaseIndex(Generic[IS], ABC):
raise ValueError("nodes must be a list of Node objects.")
self._storage_context = storage_context or StorageContext.from_defaults()
- # deprecated
- self._service_context = service_context
-
self._docstore = self._storage_context.docstore
self._show_progress = show_progress
self._vector_store = self._storage_context.vector_store
self._graph_store = self._storage_context.graph_store
- self._callback_manager = (
- callback_manager
- or callback_manager_from_settings_or_context(Settings, service_context)
- )
+ self._callback_manager = callback_manager or Settings.callback_manager
objects = objects or []
self._object_map = {obj.index_id: obj.obj for obj in objects}
@@ -92,15 +75,13 @@ class BaseIndex(Generic[IS], ABC):
if index_struct is None:
nodes = nodes or []
index_struct = self.build_index_from_nodes(
- nodes + objects, **kwargs # type: ignore
+ nodes + objects,
+ **kwargs, # type: ignore
)
self._index_struct = index_struct
self._storage_context.index_store.add_index_struct(self._index_struct)
- self._transformations = (
- transformations
- or transformations_from_settings_or_context(Settings, service_context)
- )
+ self._transformations = transformations or Settings.transformations
@classmethod
def from_documents(
@@ -110,8 +91,6 @@ class BaseIndex(Generic[IS], ABC):
show_progress: bool = False,
callback_manager: Optional[CallbackManager] = None,
transformations: Optional[List[TransformComponent]] = None,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> IndexType:
"""Create index from documents.
@@ -123,13 +102,8 @@ class BaseIndex(Generic[IS], ABC):
"""
storage_context = storage_context or StorageContext.from_defaults()
docstore = storage_context.docstore
- callback_manager = (
- callback_manager
- or callback_manager_from_settings_or_context(Settings, service_context)
- )
- transformations = transformations or transformations_from_settings_or_context(
- Settings, service_context
- )
+ callback_manager = callback_manager or Settings.callback_manager
+ transformations = transformations or Settings.transformations
with callback_manager.as_trace("index_construction"):
for doc in documents:
@@ -148,7 +122,6 @@ class BaseIndex(Generic[IS], ABC):
callback_manager=callback_manager,
show_progress=show_progress,
transformations=transformations,
- service_context=service_context,
**kwargs,
)
@@ -185,10 +158,6 @@ class BaseIndex(Generic[IS], ABC):
"""Get the docstore corresponding to the index."""
return self._docstore
- @property
- def service_context(self) -> Optional[ServiceContext]:
- return self._service_context
-
@property
def storage_context(self) -> StorageContext:
return self._storage_context
@@ -405,7 +374,7 @@ class BaseIndex(Generic[IS], ABC):
llm = (
resolve_llm(llm, callback_manager=self._callback_manager)
if llm
- else llm_from_settings_or_context(Settings, self.service_context)
+ else Settings.llm
)
return RetrieverQueryEngine.from_args(
@@ -434,20 +403,11 @@ class BaseIndex(Generic[IS], ABC):
- `ChatMode.REACT`: Chat engine that uses a react agent with a query engine tool
- `ChatMode.OPENAI`: Chat engine that uses an openai agent with a query engine tool
"""
- service_context = kwargs.get("service_context", self.service_context)
-
- if service_context is not None:
- llm = (
- resolve_llm(llm, callback_manager=self._callback_manager)
- if llm
- else service_context.llm
- )
- else:
- llm = (
- resolve_llm(llm, callback_manager=self._callback_manager)
- if llm
- else Settings.llm
- )
+ llm = (
+ resolve_llm(llm, callback_manager=self._callback_manager)
+ if llm
+ else Settings.llm
+ )
query_engine = self.as_query_engine(llm=llm, **kwargs)
diff --git a/llama-index-core/llama_index/core/indices/common/struct_store/base.py b/llama-index-core/llama_index/core/indices/common/struct_store/base.py
index d4c4753a9901d8cc73118119739dcaf0a193ee17..6577ab0b5ca95b7622e51a219ff976c7ecdb9167 100644
--- a/llama-index-core/llama_index/core/indices/common/struct_store/base.py
+++ b/llama-index-core/llama_index/core/indices/common/struct_store/base.py
@@ -8,6 +8,7 @@ from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.data_structs.table import StructDatapoint
from llama_index.core.indices.prompt_helper import PromptHelper
from llama_index.core.node_parser.interface import TextSplitter
+from llama_index.core.llms import LLM
from llama_index.core.prompts import BasePromptTemplate
from llama_index.core.prompts.default_prompt_selectors import (
DEFAULT_REFINE_TABLE_CONTEXT_PROMPT_SEL,
@@ -19,15 +20,7 @@ from llama_index.core.prompts.default_prompts import (
from llama_index.core.prompts.prompt_type import PromptType
from llama_index.core.response_synthesizers import get_response_synthesizer
from llama_index.core.schema import BaseNode, MetadataMode
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.service_context_elements.llm_predictor import (
- LLMPredictorType,
-)
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.utilities.sql_wrapper import SQLDatabase
from llama_index.core.utils import truncate_text
@@ -39,7 +32,6 @@ class SQLDocumentContextBuilder:
Args:
sql_database (Optional[SQLDatabase]): SQL database to use,
- service_context (Optional[ServiceContext]): Service Context to use.
text_splitter (Optional[TextSplitter]): Text Splitter to use.
table_context_prompt (Optional[BasePromptTemplate]): A
Table Context Prompt (see :ref:`Prompt-Templates`).
@@ -53,8 +45,7 @@ class SQLDocumentContextBuilder:
def __init__(
self,
sql_database: SQLDatabase,
- llm: Optional[LLMPredictorType] = None,
- service_context: Optional[ServiceContext] = None,
+ llm: Optional[LLM] = None,
text_splitter: Optional[TextSplitter] = None,
table_context_prompt: Optional[BasePromptTemplate] = None,
refine_table_context_prompt: Optional[BasePromptTemplate] = None,
@@ -66,13 +57,11 @@ class SQLDocumentContextBuilder:
raise ValueError("sql_database must be provided.")
self._sql_database = sql_database
self._text_splitter = text_splitter
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._prompt_helper = Settings._prompt_helper or PromptHelper.from_llm_metadata(
self._llm.metadata,
)
- self._callback_manager = callback_manager_from_settings_or_context(
- Settings, service_context
- )
+ self._callback_manager = Settings.callback_manager
self._table_context_prompt = (
table_context_prompt or DEFAULT_TABLE_CONTEXT_PROMPT
)
@@ -147,7 +136,7 @@ class BaseStructDatapointExtractor:
def __init__(
self,
- llm: LLMPredictorType,
+ llm: LLM,
schema_extract_prompt: BasePromptTemplate,
output_parser: OUTPUT_PARSER_TYPE,
) -> None:
diff --git a/llama-index-core/llama_index/core/indices/common/struct_store/sql.py b/llama-index-core/llama_index/core/indices/common/struct_store/sql.py
index 30e31c79290574c1c57a91fd231abbbe45e2ffbc..6ee3f02a431b291c1d725796cfce810124a3a498 100644
--- a/llama-index-core/llama_index/core/indices/common/struct_store/sql.py
+++ b/llama-index-core/llama_index/core/indices/common/struct_store/sql.py
@@ -7,10 +7,8 @@ from llama_index.core.indices.common.struct_store.base import (
OUTPUT_PARSER_TYPE,
BaseStructDatapointExtractor,
)
+from llama_index.core.llms import LLM
from llama_index.core.prompts import BasePromptTemplate
-from llama_index.core.service_context_elements.llm_predictor import (
- LLMPredictorType,
-)
from llama_index.core.utilities.sql_wrapper import SQLDatabase
from sqlalchemy import Table
@@ -20,7 +18,7 @@ class SQLStructDatapointExtractor(BaseStructDatapointExtractor):
def __init__(
self,
- llm: LLMPredictorType,
+ llm: LLM,
schema_extract_prompt: BasePromptTemplate,
output_parser: OUTPUT_PARSER_TYPE,
sql_database: SQLDatabase,
diff --git a/llama-index-core/llama_index/core/indices/common_tree/base.py b/llama-index-core/llama_index/core/indices/common_tree/base.py
index ba10592256817c9aed8e876b3e1d4619be547381..f8613b798b66bc21278b9a4dd16818611599c632 100644
--- a/llama-index-core/llama_index/core/indices/common_tree/base.py
+++ b/llama-index-core/llama_index/core/indices/common_tree/base.py
@@ -12,12 +12,7 @@ from llama_index.core.indices.utils import get_sorted_node_list, truncate_text
from llama_index.core.llms.llm import LLM
from llama_index.core.prompts import BasePromptTemplate
from llama_index.core.schema import BaseNode, MetadataMode, TextNode
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.storage.docstore import BaseDocumentStore
from llama_index.core.storage.docstore.registry import get_default_docstore
from llama_index.core.utils import get_tqdm_iterable
@@ -37,7 +32,6 @@ class GPTTreeIndexBuilder:
self,
num_children: int,
summary_prompt: BasePromptTemplate,
- service_context: Optional[ServiceContext] = None,
llm: Optional[LLM] = None,
docstore: Optional[BaseDocumentStore] = None,
show_progress: bool = False,
@@ -48,13 +42,11 @@ class GPTTreeIndexBuilder:
raise ValueError("Invalid number of children.")
self.num_children = num_children
self.summary_prompt = summary_prompt
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._prompt_helper = Settings._prompt_helper or PromptHelper.from_llm_metadata(
self._llm.metadata,
)
- self._callback_manager = callback_manager_from_settings_or_context(
- Settings, service_context
- )
+ self._callback_manager = Settings.callback_manager
self._use_async = use_async
self._show_progress = show_progress
self._docstore = docstore or get_default_docstore()
diff --git a/llama-index-core/llama_index/core/indices/composability/graph.py b/llama-index-core/llama_index/core/indices/composability/graph.py
index c6a6cf502f3a0ee0460c8635af07f4dd01d33233..1ced5ff6456417280b9cfacd290f6328cb3cce6f 100644
--- a/llama-index-core/llama_index/core/indices/composability/graph.py
+++ b/llama-index-core/llama_index/core/indices/composability/graph.py
@@ -11,7 +11,6 @@ from llama_index.core.schema import (
ObjectType,
RelatedNodeInfo,
)
-from llama_index.core.service_context import ServiceContext
from llama_index.core.storage.storage_context import StorageContext
@@ -45,23 +44,19 @@ class ComposableGraph:
def index_struct(self) -> IndexStruct:
return self._all_indices[self._root_id].index_struct
- @property
- def service_context(self) -> Optional[ServiceContext]:
- return self._all_indices[self._root_id].service_context
-
@classmethod
def from_indices(
cls,
root_index_cls: Type[BaseIndex],
children_indices: Sequence[BaseIndex],
index_summaries: Optional[Sequence[str]] = None,
- service_context: Optional[ServiceContext] = None,
storage_context: Optional[StorageContext] = None,
**kwargs: Any,
) -> "ComposableGraph": # type: ignore
"""Create composable graph using this index class as the root."""
- service_context = service_context or ServiceContext.from_defaults()
- with service_context.callback_manager.as_trace("graph_construction"):
+ from llama_index.core import Settings
+
+ with Settings.callback_manager.as_trace("graph_construction"):
if index_summaries is None:
for index in children_indices:
if index.index_struct.summary is None:
@@ -102,7 +97,6 @@ class ComposableGraph:
# construct root index
root_index = root_index_cls(
nodes=index_nodes,
- service_context=service_context,
storage_context=storage_context,
**kwargs,
)
diff --git a/llama-index-core/llama_index/core/indices/document_summary/base.py b/llama-index-core/llama_index/core/indices/document_summary/base.py
index f1895c53c245dfbd0d6e171843ae706841dea851..92389f3ecefdc2823c12a697785033d1ed5a8d55 100644
--- a/llama-index-core/llama_index/core/indices/document_summary/base.py
+++ b/llama-index-core/llama_index/core/indices/document_summary/base.py
@@ -31,12 +31,7 @@ from llama_index.core.schema import (
RelatedNodeInfo,
TextNode,
)
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- embed_model_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.storage.docstore.types import RefDocInfo
from llama_index.core.storage.storage_context import StorageContext
from llama_index.core.utils import get_tqdm_iterable
@@ -88,16 +83,11 @@ class DocumentSummaryIndex(BaseIndex[IndexDocumentSummary]):
summary_query: str = DEFAULT_SUMMARY_QUERY,
show_progress: bool = False,
embed_summaries: bool = True,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> None:
"""Initialize params."""
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
- self._embed_model = embed_model or embed_model_from_settings_or_context(
- Settings, service_context
- )
-
+ self._llm = llm or Settings.llm
+ self._embed_model = embed_model or Settings.embed_model
self._response_synthesizer = response_synthesizer or get_response_synthesizer(
llm=self._llm, response_mode=ResponseMode.TREE_SUMMARIZE
)
@@ -107,7 +97,6 @@ class DocumentSummaryIndex(BaseIndex[IndexDocumentSummary]):
super().__init__(
nodes=nodes,
index_struct=index_struct,
- service_context=service_context,
storage_context=storage_context,
show_progress=show_progress,
objects=objects,
@@ -226,7 +215,7 @@ class DocumentSummaryIndex(BaseIndex[IndexDocumentSummary]):
summary_nodes_with_embedding = []
for node in summary_nodes:
- node_with_embedding = node.copy()
+ node_with_embedding = node.model_copy()
node_with_embedding.embedding = id_to_embed_map[node.node_id]
summary_nodes_with_embedding.append(node_with_embedding)
self._vector_store.add(summary_nodes_with_embedding)
diff --git a/llama-index-core/llama_index/core/indices/empty/base.py b/llama-index-core/llama_index/core/indices/empty/base.py
index 6d3b2a21a82b7bb6fe02392ef91ef612c5b85935..32d9d719eb2c93504a1df7a5f1fad0ea0738f174 100644
--- a/llama-index-core/llama_index/core/indices/empty/base.py
+++ b/llama-index-core/llama_index/core/indices/empty/base.py
@@ -13,7 +13,6 @@ from llama_index.core.data_structs.data_structs import EmptyIndexStruct
from llama_index.core.indices.base import BaseIndex
from llama_index.core.llms.utils import LLMType
from llama_index.core.schema import BaseNode
-from llama_index.core.service_context import ServiceContext
from llama_index.core.storage.docstore.types import RefDocInfo
@@ -33,15 +32,12 @@ class EmptyIndex(BaseIndex[EmptyIndexStruct]):
def __init__(
self,
index_struct: Optional[EmptyIndexStruct] = None,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> None:
"""Initialize params."""
super().__init__(
nodes=None,
index_struct=index_struct or EmptyIndexStruct(),
- service_context=service_context,
**kwargs,
)
diff --git a/llama-index-core/llama_index/core/indices/keyword_table/base.py b/llama-index-core/llama_index/core/indices/keyword_table/base.py
index df465308369d9061f86f41597da770453c59f396..91bde3abb001091044e4a3c50f551e75948cdabd 100644
--- a/llama-index-core/llama_index/core/indices/keyword_table/base.py
+++ b/llama-index-core/llama_index/core/indices/keyword_table/base.py
@@ -26,8 +26,7 @@ from llama_index.core.prompts.default_prompts import (
DEFAULT_QUERY_KEYWORD_EXTRACT_TEMPLATE,
)
from llama_index.core.schema import BaseNode, IndexNode, MetadataMode
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+from llama_index.core.settings import Settings
from llama_index.core.storage.docstore.types import RefDocInfo
from llama_index.core.utils import get_tqdm_iterable
@@ -69,7 +68,6 @@ class BaseKeywordTableIndex(BaseIndex[KeywordTable]):
objects: Optional[Sequence[IndexNode]] = None,
index_struct: Optional[KeywordTable] = None,
llm: Optional[LLM] = None,
- service_context: Optional[ServiceContext] = None,
keyword_extract_template: Optional[BasePromptTemplate] = None,
max_keywords_per_chunk: int = 10,
use_async: bool = False,
@@ -78,7 +76,7 @@ class BaseKeywordTableIndex(BaseIndex[KeywordTable]):
) -> None:
"""Initialize params."""
# need to set parameters before building index in base class.
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self.max_keywords_per_chunk = max_keywords_per_chunk
self.keyword_extract_template = (
@@ -92,7 +90,6 @@ class BaseKeywordTableIndex(BaseIndex[KeywordTable]):
super().__init__(
nodes=nodes,
index_struct=index_struct,
- service_context=service_context,
show_progress=show_progress,
objects=objects,
**kwargs,
diff --git a/llama-index-core/llama_index/core/indices/keyword_table/utils.py b/llama-index-core/llama_index/core/indices/keyword_table/utils.py
index 45b3a8bc9cd87cd86453ca7fa12cde8902bfd80c..41a3f3c15bf64cb3ccfa9d102214368fffaa5f05 100644
--- a/llama-index-core/llama_index/core/indices/keyword_table/utils.py
+++ b/llama-index-core/llama_index/core/indices/keyword_table/utils.py
@@ -1,9 +1,9 @@
"""Utils for keyword table."""
import re
+from collections import Counter
from typing import Optional, Set
-import pandas as pd
from llama_index.core.indices.utils import expand_tokens_with_subtokens
from llama_index.core.utils import globals_helper
@@ -15,8 +15,9 @@ def simple_extract_keywords(
tokens = [t.strip().lower() for t in re.findall(r"\w+", text_chunk)]
if filter_stopwords:
tokens = [t for t in tokens if t not in globals_helper.stopwords]
- value_counts = pd.Series(tokens).value_counts()
- keywords = value_counts.index.tolist()[:max_keywords]
+
+ token_counts = Counter(tokens)
+ keywords = [keyword for keyword, count in token_counts.most_common(max_keywords)]
return set(keywords)
diff --git a/llama-index-core/llama_index/core/indices/knowledge_graph/base.py b/llama-index-core/llama_index/core/indices/knowledge_graph/base.py
index daa434c497982689996a9f07c17687806b649237..a6ad5b91387031419821711101cfd4d5e05adac0 100644
--- a/llama-index-core/llama_index/core/indices/knowledge_graph/base.py
+++ b/llama-index-core/llama_index/core/indices/knowledge_graph/base.py
@@ -21,12 +21,7 @@ from llama_index.core.prompts.default_prompts import (
DEFAULT_KG_TRIPLET_EXTRACT_PROMPT,
)
from llama_index.core.schema import BaseNode, IndexNode, MetadataMode
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- embed_model_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.storage.docstore.types import RefDocInfo
from llama_index.core.storage.storage_context import StorageContext
from llama_index.core.utils import get_tqdm_iterable
@@ -52,7 +47,6 @@ class KnowledgeGraphIndex(BaseIndex[KG]):
kg_triplet_extract_template (BasePromptTemplate): The prompt to use for
extracting triplets.
max_triplets_per_chunk (int): The maximum number of triplets to extract.
- service_context (Optional[ServiceContext]): The service context to use.
storage_context (Optional[StorageContext]): The storage context to use.
graph_store (Optional[GraphStore]): The graph store to use.
show_progress (bool): Whether to show tqdm progress bars. Defaults to False.
@@ -81,8 +75,6 @@ class KnowledgeGraphIndex(BaseIndex[KG]):
show_progress: bool = False,
max_object_length: int = 128,
kg_triplet_extract_fn: Optional[Callable] = None,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> None:
"""Initialize params."""
@@ -101,15 +93,12 @@ class KnowledgeGraphIndex(BaseIndex[KG]):
self._max_object_length = max_object_length
self._kg_triplet_extract_fn = kg_triplet_extract_fn
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
- self._embed_model = embed_model or embed_model_from_settings_or_context(
- Settings, service_context
- )
+ self._llm = llm or Settings.llm
+ self._embed_model = embed_model or Settings.embed_model
super().__init__(
nodes=nodes,
index_struct=index_struct,
- service_context=service_context,
storage_context=storage_context,
show_progress=show_progress,
objects=objects,
diff --git a/llama-index-core/llama_index/core/indices/knowledge_graph/retrievers.py b/llama-index-core/llama_index/core/indices/knowledge_graph/retrievers.py
index 548a6065d443e714385f1db7f726f96938f4413a..a2019c7bab57cc5abc9298f950dd9d4452beb267 100644
--- a/llama-index-core/llama_index/core/indices/knowledge_graph/retrievers.py
+++ b/llama-index-core/llama_index/core/indices/knowledge_graph/retrievers.py
@@ -26,13 +26,7 @@ from llama_index.core.schema import (
QueryBundle,
TextNode,
)
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- embed_model_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.storage.storage_context import StorageContext
from llama_index.core.utils import print_text, truncate_text
@@ -135,11 +129,8 @@ class KGTableRetriever(BaseRetriever):
else KGRetrieverMode.KEYWORD
)
- self._llm = llm or llm_from_settings_or_context(Settings, index.service_context)
- self._embed_model = embed_model or embed_model_from_settings_or_context(
- Settings, index.service_context
- )
-
+ self._llm = llm or Settings.llm
+ self._embed_model = embed_model or Settings.embed_model
self._graph_store = index.graph_store
self.graph_store_query_depth = graph_store_query_depth
self.use_global_node_triplets = use_global_node_triplets
@@ -154,10 +145,7 @@ class KGTableRetriever(BaseRetriever):
logger.warning(f"Failed to get graph schema: {e}")
self._graph_schema = ""
super().__init__(
- callback_manager=callback_manager
- or callback_manager_from_settings_or_context(
- Settings, index.service_context
- ),
+ callback_manager=callback_manager or Settings.callback_manager,
object_map=object_map,
verbose=verbose,
)
@@ -429,7 +417,6 @@ class KnowledgeGraphRAGRetriever(BaseRetriever):
Retriever that perform SubGraph RAG towards knowledge graph.
Args:
- service_context (Optional[ServiceContext]): A service context to use.
storage_context (Optional[StorageContext]): A storage context to use.
entity_extract_fn (Optional[Callable]): A function to extract entities.
entity_extract_template Optional[BasePromptTemplate]): A Query Key Entity
@@ -477,8 +464,6 @@ class KnowledgeGraphRAGRetriever(BaseRetriever):
max_knowledge_sequence: int = REL_TEXT_LIMIT,
verbose: bool = False,
callback_manager: Optional[CallbackManager] = None,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> None:
"""Initialize the retriever."""
@@ -490,7 +475,7 @@ class KnowledgeGraphRAGRetriever(BaseRetriever):
self._storage_context = storage_context
self._graph_store = storage_context.graph_store
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._entity_extract_fn = entity_extract_fn
self._entity_extract_template = (
@@ -537,7 +522,6 @@ class KnowledgeGraphRAGRetriever(BaseRetriever):
refresh_schema=refresh_schema,
verbose=verbose,
response_synthesizer=response_synthesizer,
- service_context=service_context,
**kwargs,
)
@@ -553,10 +537,7 @@ class KnowledgeGraphRAGRetriever(BaseRetriever):
logger.warning(f"Failed to get graph schema: {e}")
self._graph_schema = ""
- super().__init__(
- callback_manager=callback_manager
- or callback_manager_from_settings_or_context(Settings, service_context)
- )
+ super().__init__(callback_manager=callback_manager or Settings.callback_manager)
def _process_entities(
self,
diff --git a/llama-index-core/llama_index/core/indices/list/base.py b/llama-index-core/llama_index/core/indices/list/base.py
index f4ca7e9973d1065688939a3b1bdfbcc3321ca311..b5c595d060271ff2b1f0efcff22920109af86a0b 100644
--- a/llama-index-core/llama_index/core/indices/list/base.py
+++ b/llama-index-core/llama_index/core/indices/list/base.py
@@ -14,12 +14,7 @@ from llama_index.core.data_structs.data_structs import IndexList
from llama_index.core.indices.base import BaseIndex
from llama_index.core.llms.llm import LLM
from llama_index.core.schema import BaseNode, IndexNode
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- embed_model_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.storage.docstore.types import RefDocInfo
from llama_index.core.utils import get_tqdm_iterable
@@ -57,15 +52,12 @@ class SummaryIndex(BaseIndex[IndexList]):
objects: Optional[Sequence[IndexNode]] = None,
index_struct: Optional[IndexList] = None,
show_progress: bool = False,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> None:
"""Initialize params."""
super().__init__(
nodes=nodes,
index_struct=index_struct,
- service_context=service_context,
show_progress=show_progress,
objects=objects,
**kwargs,
@@ -87,14 +79,12 @@ class SummaryIndex(BaseIndex[IndexList]):
if retriever_mode == ListRetrieverMode.DEFAULT:
return SummaryIndexRetriever(self, object_map=self._object_map, **kwargs)
elif retriever_mode == ListRetrieverMode.EMBEDDING:
- embed_model = embed_model or embed_model_from_settings_or_context(
- Settings, self.service_context
- )
+ embed_model = embed_model or Settings.embed_model
return SummaryIndexEmbeddingRetriever(
self, object_map=self._object_map, embed_model=embed_model, **kwargs
)
elif retriever_mode == ListRetrieverMode.LLM:
- llm = llm or llm_from_settings_or_context(Settings, self.service_context)
+ llm = llm or Settings.llm
return SummaryIndexLLMRetriever(
self, object_map=self._object_map, llm=llm, **kwargs
)
diff --git a/llama-index-core/llama_index/core/indices/list/retrievers.py b/llama-index-core/llama_index/core/indices/list/retrievers.py
index 36f658203bcdac4df7e14b3d8cffcb49cf2b56eb..67c05bc40b23c27ef7a8fc54bdfdc98e2897b424 100644
--- a/llama-index-core/llama_index/core/indices/list/retrievers.py
+++ b/llama-index-core/llama_index/core/indices/list/retrievers.py
@@ -1,4 +1,5 @@
"""Retrievers for SummaryIndex."""
+
import logging
from typing import Any, Callable, List, Optional, Tuple
@@ -22,12 +23,7 @@ from llama_index.core.schema import (
NodeWithScore,
QueryBundle,
)
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- embed_model_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
logger = logging.getLogger(__name__)
@@ -89,9 +85,8 @@ class SummaryIndexEmbeddingRetriever(BaseRetriever):
) -> None:
self._index = index
self._similarity_top_k = similarity_top_k
- self._embed_model = embed_model or embed_model_from_settings_or_context(
- Settings, index.service_context
- )
+ self._embed_model = embed_model or Settings.embed_model
+
super().__init__(
callback_manager=callback_manager, object_map=object_map, verbose=verbose
)
@@ -121,7 +116,7 @@ class SummaryIndexEmbeddingRetriever(BaseRetriever):
logger.debug(f"> Top {len(top_idxs)} nodes:\n")
nl = "\n"
- logger.debug(f"{ nl.join([n.get_content() for n in top_k_nodes]) }")
+ logger.debug(f"{nl.join([n.get_content() for n in top_k_nodes])}")
return node_with_scores
def _get_embeddings(
@@ -158,8 +153,6 @@ class SummaryIndexLLMRetriever(BaseRetriever):
batch of nodes.
parse_choice_select_answer_fn (Optional[Callable]): A function that parses the
choice select answer.
- service_context (Optional[ServiceContext]): A service context.
-
"""
def __init__(
@@ -170,7 +163,6 @@ class SummaryIndexLLMRetriever(BaseRetriever):
choice_batch_size: int = 10,
format_node_batch_fn: Optional[Callable] = None,
parse_choice_select_answer_fn: Optional[Callable] = None,
- service_context: Optional[ServiceContext] = None,
callback_manager: Optional[CallbackManager] = None,
object_map: Optional[dict] = None,
verbose: bool = False,
@@ -187,7 +179,7 @@ class SummaryIndexLLMRetriever(BaseRetriever):
self._parse_choice_select_answer_fn = (
parse_choice_select_answer_fn or default_parse_choice_select_answer_fn
)
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
super().__init__(
callback_manager=callback_manager, object_map=object_map, verbose=verbose
)
diff --git a/llama-index-core/llama_index/core/indices/managed/base.py b/llama-index-core/llama_index/core/indices/managed/base.py
index 35d375b729545d70086437d82d4fb7014224fb00..8a7f403f615118c1e162a351230fb8ea22edc852 100644
--- a/llama-index-core/llama_index/core/indices/managed/base.py
+++ b/llama-index-core/llama_index/core/indices/managed/base.py
@@ -3,6 +3,7 @@
An index that is built on top of a managed service.
"""
+
from abc import ABC, abstractmethod
from typing import Any, Dict, List, Optional, Sequence, Type
@@ -11,7 +12,6 @@ from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.data_structs.data_structs import IndexDict
from llama_index.core.indices.base import BaseIndex, IndexType
from llama_index.core.schema import BaseNode, Document, TransformComponent
-from llama_index.core.service_context import ServiceContext
from llama_index.core.storage.docstore.types import RefDocInfo
from llama_index.core.storage.storage_context import StorageContext
@@ -33,15 +33,12 @@ class BaseManagedIndex(BaseIndex[IndexDict], ABC):
index_struct: Optional[IndexDict] = None,
storage_context: Optional[StorageContext] = None,
show_progress: bool = False,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> None:
"""Initialize params."""
super().__init__(
nodes=nodes,
index_struct=index_struct,
- service_context=service_context,
storage_context=storage_context,
show_progress=show_progress,
**kwargs,
@@ -88,8 +85,6 @@ class BaseManagedIndex(BaseIndex[IndexDict], ABC):
show_progress: bool = False,
callback_manager: Optional[CallbackManager] = None,
transformations: Optional[List[TransformComponent]] = None,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> IndexType:
"""Build an index from a sequence of documents."""
diff --git a/llama-index-core/llama_index/core/indices/multi_modal/base.py b/llama-index-core/llama_index/core/indices/multi_modal/base.py
index ceb117330e53fa4a15fd44dd00ff83f94f4f12d5..45c291f71f2caa88558123511178de59b33de559 100644
--- a/llama-index-core/llama_index/core/indices/multi_modal/base.py
+++ b/llama-index-core/llama_index/core/indices/multi_modal/base.py
@@ -28,8 +28,7 @@ from llama_index.core.llms.utils import LLMType
from llama_index.core.multi_modal_llms import MultiModalLLM
from llama_index.core.query_engine.multi_modal import SimpleMultiModalQueryEngine
from llama_index.core.schema import BaseNode, ImageNode
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+from llama_index.core.settings import Settings
from llama_index.core.storage.storage_context import StorageContext
from llama_index.core.vector_stores.simple import (
DEFAULT_VECTOR_STORE,
@@ -72,8 +71,6 @@ class MultiModalVectorStoreIndex(VectorStoreIndex):
# those flags are used for cases when only one vector store is used
is_image_vector_store_empty: bool = False,
is_text_vector_store_empty: bool = False,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> None:
"""Initialize params."""
@@ -105,7 +102,6 @@ class MultiModalVectorStoreIndex(VectorStoreIndex):
nodes=nodes,
index_struct=index_struct,
embed_model=embed_model,
- service_context=service_context,
storage_context=storage_context,
show_progress=show_progress,
use_async=use_async,
@@ -143,7 +139,7 @@ class MultiModalVectorStoreIndex(VectorStoreIndex):
) -> SimpleMultiModalQueryEngine:
retriever = cast(MultiModalVectorIndexRetriever, self.as_retriever(**kwargs))
- llm = llm or llm_from_settings_or_context(Settings, self._service_context)
+ llm = llm or Settings.llm
assert isinstance(llm, MultiModalLLM)
return SimpleMultiModalQueryEngine(
@@ -157,8 +153,6 @@ class MultiModalVectorStoreIndex(VectorStoreIndex):
cls,
vector_store: BasePydanticVectorStore,
embed_model: Optional[EmbedType] = None,
- # deprecated
- service_context: Optional[ServiceContext] = None,
# Image-related kwargs
image_vector_store: Optional[BasePydanticVectorStore] = None,
image_embed_model: EmbedType = "clip",
@@ -172,7 +166,6 @@ class MultiModalVectorStoreIndex(VectorStoreIndex):
storage_context = StorageContext.from_defaults(vector_store=vector_store)
return cls(
nodes=[],
- service_context=service_context,
storage_context=storage_context,
image_vector_store=image_vector_store,
image_embed_model=image_embed_model,
@@ -227,7 +220,7 @@ class MultiModalVectorStoreIndex(VectorStoreIndex):
results = []
for node in nodes:
embedding = id_to_embed_map[node.node_id]
- result = node.copy()
+ result = node.model_copy()
result.embedding = embedding
if is_image and id_to_text_embed_map:
text_embedding = id_to_text_embed_map[node.node_id]
@@ -278,7 +271,7 @@ class MultiModalVectorStoreIndex(VectorStoreIndex):
results = []
for node in nodes:
embedding = id_to_embed_map[node.node_id]
- result = node.copy()
+ result = node.model_copy()
result.embedding = embedding
if is_image and id_to_text_embed_map:
text_embedding = id_to_text_embed_map[node.node_id]
@@ -342,7 +335,7 @@ class MultiModalVectorStoreIndex(VectorStoreIndex):
if not self._vector_store.stores_text or self._store_nodes_override:
for node, new_id in zip(all_nodes, all_new_ids):
# NOTE: remove embedding from node to avoid duplication
- node_without_embedding = node.copy()
+ node_without_embedding = node.model_copy()
node_without_embedding.embedding = None
index_struct.add_node(node_without_embedding, text_id=new_id)
@@ -404,7 +397,7 @@ class MultiModalVectorStoreIndex(VectorStoreIndex):
if not self._vector_store.stores_text or self._store_nodes_override:
for node, new_id in zip(all_nodes, all_new_ids):
# NOTE: remove embedding from node to avoid duplication
- node_without_embedding = node.copy()
+ node_without_embedding = node.model_copy()
node_without_embedding.embedding = None
index_struct.add_node(node_without_embedding, text_id=new_id)
diff --git a/llama-index-core/llama_index/core/indices/multi_modal/retriever.py b/llama-index-core/llama_index/core/indices/multi_modal/retriever.py
index 4941dc7be17f059cdd9846b03e6005a760f69676..983c10dc21508324c59a181700f059d22aa594a5 100644
--- a/llama-index-core/llama_index/core/indices/multi_modal/retriever.py
+++ b/llama-index-core/llama_index/core/indices/multi_modal/retriever.py
@@ -18,10 +18,7 @@ from llama_index.core.schema import (
QueryBundle,
QueryType,
)
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.vector_stores.types import (
MetadataFilters,
BasePydanticVectorStore,
@@ -74,8 +71,6 @@ class MultiModalVectorIndexRetriever(MultiModalRetriever):
assert isinstance(self._index.image_embed_model, BaseEmbedding)
self._image_embed_model = index._image_embed_model
self._embed_model = index._embed_model
-
- self._service_context = self._index.service_context
self._docstore = self._index.docstore
self._similarity_top_k = similarity_top_k
@@ -88,12 +83,7 @@ class MultiModalVectorIndexRetriever(MultiModalRetriever):
self._sparse_top_k = sparse_top_k
self._kwargs: Dict[str, Any] = kwargs.get("vector_store_kwargs", {})
- self.callback_manager = (
- callback_manager
- or callback_manager_from_settings_or_context(
- Settings, self._service_context
- )
- )
+ self.callback_manager = callback_manager or Settings.callback_manager
@property
def similarity_top_k(self) -> int:
@@ -262,9 +252,7 @@ class MultiModalVectorIndexRetriever(MultiModalRetriever):
):
node_id = query_result.nodes[i].node_id
if self._docstore.document_exists(node_id):
- query_result.nodes[
- i
- ] = self._docstore.get_node( # type: ignore[index]
+ query_result.nodes[i] = self._docstore.get_node( # type: ignore[index]
node_id
)
diff --git a/llama-index-core/llama_index/core/indices/prompt_helper.py b/llama-index-core/llama_index/core/indices/prompt_helper.py
index 6b7f141ed61cdfe7e21fe2aebcff7dae2dd88a9a..1c560f10f3f53b248171196304c8fad72b9cb9c9 100644
--- a/llama-index-core/llama_index/core/indices/prompt_helper.py
+++ b/llama-index-core/llama_index/core/indices/prompt_helper.py
@@ -88,10 +88,6 @@ class PromptHelper(BaseComponent):
"""Init params."""
if chunk_overlap_ratio > 1.0 or chunk_overlap_ratio < 0.0:
raise ValueError("chunk_overlap_ratio must be a float between 0. and 1.")
-
- # TODO: make configurable
- self._token_counter = TokenCounter(tokenizer=tokenizer)
-
super().__init__(
context_window=context_window,
num_output=num_output,
@@ -100,6 +96,9 @@ class PromptHelper(BaseComponent):
separator=separator,
)
+ # TODO: make configurable
+ self._token_counter = TokenCounter(tokenizer=tokenizer)
+
@classmethod
def from_llm_metadata(
cls,
diff --git a/llama-index-core/llama_index/core/indices/property_graph/sub_retrievers/cypher_template.py b/llama-index-core/llama_index/core/indices/property_graph/sub_retrievers/cypher_template.py
index 992eac6b3ab1b45b5dd0e45eaa0c530028357566..2f575164079dbbeb359c46f8dd6a2f34bf6c42b2 100644
--- a/llama-index-core/llama_index/core/indices/property_graph/sub_retrievers/cypher_template.py
+++ b/llama-index-core/llama_index/core/indices/property_graph/sub_retrievers/cypher_template.py
@@ -52,7 +52,7 @@ class CypherTemplateRetriever(BasePGRetriever):
cypher_response = self._graph_store.structured_query(
self.cypher_query,
- param_map=response.dict(),
+ param_map=response.model_dump(),
)
return [
@@ -75,7 +75,7 @@ class CypherTemplateRetriever(BasePGRetriever):
cypher_response = await self._graph_store.astructured_query(
self.cypher_query,
- param_map=response.dict(),
+ param_map=response.model_dump(),
)
return [
diff --git a/llama-index-core/llama_index/core/indices/property_graph/transformations/schema_llm.py b/llama-index-core/llama_index/core/indices/property_graph/transformations/schema_llm.py
index 50c80b677f9420662dc722f5132522a8af708b35..65ffbf6b64254824aaea867c21b2446561e69d7b 100644
--- a/llama-index-core/llama_index/core/indices/property_graph/transformations/schema_llm.py
+++ b/llama-index-core/llama_index/core/indices/property_graph/transformations/schema_llm.py
@@ -8,7 +8,7 @@ except ImportError:
TypeAlias = Any
from llama_index.core.async_utils import run_jobs
-from llama_index.core.bridge.pydantic import create_model, validator
+from llama_index.core.bridge.pydantic import create_model, field_validator
from llama_index.core.graph_stores.types import (
EntityNode,
Relation,
@@ -187,7 +187,7 @@ class SchemaLLMPathExtractor(TransformComponent):
object=(entity_cls, ...),
)
- def validate(v: Any, values: Any) -> Any:
+ def validate(v: Any) -> Any:
"""Validate triplets."""
passing_triplets = []
for i, triplet in enumerate(v):
@@ -207,7 +207,7 @@ class SchemaLLMPathExtractor(TransformComponent):
return passing_triplets
- root = validator("triplets", pre=True)(validate)
+ root = field_validator("triplets", mode="before")(validate)
kg_schema_cls = create_model(
"KGSchema",
__validators__={"validator1": root},
diff --git a/llama-index-core/llama_index/core/indices/query/query_transform/base.py b/llama-index-core/llama_index/core/indices/query/query_transform/base.py
index 18437fb48df637d1971b40a447b7fb48535595f2..3d734a5dec7cbabc4e8921cddac9bd0087d0aab7 100644
--- a/llama-index-core/llama_index/core/indices/query/query_transform/base.py
+++ b/llama-index-core/llama_index/core/indices/query/query_transform/base.py
@@ -12,7 +12,7 @@ from llama_index.core.base.query_pipeline.query import (
validate_and_convert_stringable,
)
from llama_index.core.base.response.schema import Response
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, ConfigDict
from llama_index.core.indices.query.query_transform.prompts import (
DEFAULT_DECOMPOSE_QUERY_TRANSFORM_PROMPT,
DEFAULT_IMAGE_OUTPUT_PROMPT,
@@ -22,6 +22,7 @@ from llama_index.core.indices.query.query_transform.prompts import (
StepDecomposeQueryTransformPrompt,
)
from llama_index.core.instrumentation import DispatcherSpanMixin
+from llama_index.core.llms import LLM
from llama_index.core.prompts import BasePromptTemplate
from llama_index.core.prompts.default_prompts import DEFAULT_HYDE_PROMPT
from llama_index.core.prompts.mixin import (
@@ -30,9 +31,6 @@ from llama_index.core.prompts.mixin import (
PromptMixinType,
)
from llama_index.core.schema import QueryBundle, QueryType
-from llama_index.core.service_context_elements.llm_predictor import (
- LLMPredictorType,
-)
from llama_index.core.settings import Settings
from llama_index.core.utils import print_text
@@ -120,7 +118,7 @@ class HyDEQueryTransform(BaseQueryTransform):
def __init__(
self,
- llm: Optional[LLMPredictorType] = None,
+ llm: Optional[LLM] = None,
hyde_prompt: Optional[BasePromptTemplate] = None,
include_original: bool = True,
) -> None:
@@ -178,7 +176,7 @@ class DecomposeQueryTransform(BaseQueryTransform):
def __init__(
self,
- llm: Optional[LLMPredictorType] = None,
+ llm: Optional[LLM] = None,
decompose_query_prompt: Optional[DecomposeQueryTransformPrompt] = None,
verbose: bool = False,
) -> None:
@@ -283,7 +281,7 @@ class StepDecomposeQueryTransform(BaseQueryTransform):
def __init__(
self,
- llm: Optional[LLMPredictorType] = None,
+ llm: Optional[LLM] = None,
step_decompose_query_prompt: Optional[StepDecomposeQueryTransformPrompt] = None,
verbose: bool = False,
) -> None:
@@ -334,11 +332,9 @@ class StepDecomposeQueryTransform(BaseQueryTransform):
class QueryTransformComponent(QueryComponent):
"""Query transform component."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
query_transform: BaseQueryTransform = Field(..., description="Query transform.")
- class Config:
- arbitrary_types_allowed = True
-
def set_callback_manager(self, callback_manager: Any) -> None:
"""Set callback manager."""
# TODO: not implemented yet
diff --git a/llama-index-core/llama_index/core/indices/query/query_transform/feedback_transform.py b/llama-index-core/llama_index/core/indices/query/query_transform/feedback_transform.py
index 7e60e0457659260a6f9a916a788bda34de354084..cb25e293b9cd2ef3568db7a4ecd128e4ecb9110f 100644
--- a/llama-index-core/llama_index/core/indices/query/query_transform/feedback_transform.py
+++ b/llama-index-core/llama_index/core/indices/query/query_transform/feedback_transform.py
@@ -3,12 +3,10 @@ from typing import Dict, Optional
from llama_index.core.evaluation.base import Evaluation
from llama_index.core.indices.query.query_transform.base import BaseQueryTransform
+from llama_index.core.llms import LLM
from llama_index.core.prompts.base import BasePromptTemplate, PromptTemplate
from llama_index.core.prompts.mixin import PromptDictType
from llama_index.core.schema import QueryBundle
-from llama_index.core.service_context_elements.llm_predictor import (
- LLMPredictorType,
-)
from llama_index.core.settings import Settings
logger = logging.getLogger(__name__)
@@ -40,7 +38,7 @@ class FeedbackQueryTransformation(BaseQueryTransform):
def __init__(
self,
- llm: Optional[LLMPredictorType] = None,
+ llm: Optional[LLM] = None,
resynthesize_query: bool = False,
resynthesis_prompt: Optional[BasePromptTemplate] = None,
) -> None:
diff --git a/llama-index-core/llama_index/core/indices/service_context.py b/llama-index-core/llama_index/core/indices/service_context.py
deleted file mode 100644
index 23cdf6423cdd12d79d0d5a2aab8390d824b8d90f..0000000000000000000000000000000000000000
--- a/llama-index-core/llama_index/core/indices/service_context.py
+++ /dev/null
@@ -1,6 +0,0 @@
-# for backwards compatibility
-from llama_index.core.service_context import ServiceContext
-
-__all__ = [
- "ServiceContext",
-]
diff --git a/llama-index-core/llama_index/core/indices/struct_store/base.py b/llama-index-core/llama_index/core/indices/struct_store/base.py
index 7a043ada4a467ab3cd0f922613896c024da88b44..7a41de47a317a4fd3d51a1a412ca7b8326360b18 100644
--- a/llama-index-core/llama_index/core/indices/struct_store/base.py
+++ b/llama-index-core/llama_index/core/indices/struct_store/base.py
@@ -8,7 +8,6 @@ from llama_index.core.indices.base import BaseIndex
from llama_index.core.prompts import BasePromptTemplate
from llama_index.core.prompts.default_prompts import DEFAULT_SCHEMA_EXTRACT_PROMPT
from llama_index.core.schema import BaseNode
-from llama_index.core.service_context import ServiceContext
from llama_index.core.storage.docstore.types import RefDocInfo
BST = TypeVar("BST", bound=BaseStructTable)
@@ -43,7 +42,6 @@ class BaseStructStoreIndex(BaseIndex[BST], Generic[BST]):
self,
nodes: Optional[Sequence[BaseNode]] = None,
index_struct: Optional[BST] = None,
- service_context: Optional[ServiceContext] = None,
schema_extract_prompt: Optional[BasePromptTemplate] = None,
output_parser: Optional[OUTPUT_PARSER_TYPE] = None,
**kwargs: Any,
@@ -56,7 +54,6 @@ class BaseStructStoreIndex(BaseIndex[BST], Generic[BST]):
super().__init__(
nodes=nodes,
index_struct=index_struct,
- service_context=service_context,
**kwargs,
)
diff --git a/llama-index-core/llama_index/core/indices/struct_store/json_query.py b/llama-index-core/llama_index/core/indices/struct_store/json_query.py
index 6b6909154f55cf0401dec71a43a4ebc46edb00f4..26ede4714eb53312e51dd595b04af0fd8f44fe7a 100644
--- a/llama-index-core/llama_index/core/indices/struct_store/json_query.py
+++ b/llama-index-core/llama_index/core/indices/struct_store/json_query.py
@@ -11,12 +11,7 @@ from llama_index.core.prompts.default_prompts import DEFAULT_JSON_PATH_PROMPT
from llama_index.core.prompts.mixin import PromptDictType, PromptMixinType
from llama_index.core.prompts.prompt_type import PromptType
from llama_index.core.schema import QueryBundle
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.utils import print_text
logger = logging.getLogger(__name__)
@@ -100,7 +95,6 @@ class JSONQueryEngine(BaseQueryEngine):
Args:
json_value (JSONType): JSON value
json_schema (JSONType): JSON schema
- service_context (ServiceContext): ServiceContext
json_path_prompt (BasePromptTemplate): The JSON Path prompt to use.
output_processor (Callable): The output processor that executes the
JSON Path query.
@@ -113,7 +107,6 @@ class JSONQueryEngine(BaseQueryEngine):
self,
json_value: JSONType,
json_schema: JSONType,
- service_context: Optional[ServiceContext] = None,
llm: Optional[LLM] = None,
json_path_prompt: Optional[BasePromptTemplate] = None,
output_processor: Optional[Callable] = None,
@@ -126,7 +119,7 @@ class JSONQueryEngine(BaseQueryEngine):
"""Initialize params."""
self._json_value = json_value
self._json_schema = json_schema
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._json_path_prompt = json_path_prompt or DEFAULT_JSON_PATH_PROMPT
self._output_processor = output_processor or default_output_processor
self._output_kwargs = output_kwargs or {}
@@ -136,11 +129,7 @@ class JSONQueryEngine(BaseQueryEngine):
response_synthesis_prompt or DEFAULT_RESPONSE_SYNTHESIS_PROMPT
)
- super().__init__(
- callback_manager=callback_manager_from_settings_or_context(
- Settings, service_context
- )
- )
+ super().__init__(callback_manager=Settings.callback_manager)
def _get_prompts(self) -> Dict[str, Any]:
"""Get prompts."""
diff --git a/llama-index-core/llama_index/core/indices/struct_store/sql.py b/llama-index-core/llama_index/core/indices/struct_store/sql.py
index 61c6937422d40a68fc97c5d2c209406787384626..6aae76c0f75973d84b67f2d8d9fe813cfe4a8ffc 100644
--- a/llama-index-core/llama_index/core/indices/struct_store/sql.py
+++ b/llama-index-core/llama_index/core/indices/struct_store/sql.py
@@ -1,4 +1,5 @@
"""SQL Structured Store."""
+
from collections import defaultdict
from enum import Enum
from typing import Any, Optional, Sequence, Union
@@ -16,8 +17,7 @@ from llama_index.core.indices.struct_store.container_builder import (
)
from llama_index.core.llms.utils import LLMType
from llama_index.core.schema import BaseNode
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+from llama_index.core.settings import Settings
from llama_index.core.utilities.sql_wrapper import SQLDatabase
from sqlalchemy import Table
@@ -65,7 +65,6 @@ class SQLStructStoreIndex(BaseStructStoreIndex[SQLStructTable]):
self,
nodes: Optional[Sequence[BaseNode]] = None,
index_struct: Optional[SQLStructTable] = None,
- service_context: Optional[ServiceContext] = None,
sql_database: Optional[SQLDatabase] = None,
table_name: Optional[str] = None,
table: Optional[Table] = None,
@@ -89,7 +88,6 @@ class SQLStructStoreIndex(BaseStructStoreIndex[SQLStructTable]):
super().__init__(
nodes=nodes,
index_struct=index_struct,
- service_context=service_context,
**kwargs,
)
@@ -111,7 +109,7 @@ class SQLStructStoreIndex(BaseStructStoreIndex[SQLStructTable]):
return index_struct
else:
data_extractor = SQLStructDatapointExtractor(
- llm_from_settings_or_context(Settings, self.service_context),
+ Settings.llm,
self.schema_extract_prompt,
self.output_parser,
self.sql_database,
@@ -131,7 +129,7 @@ class SQLStructStoreIndex(BaseStructStoreIndex[SQLStructTable]):
def _insert(self, nodes: Sequence[BaseNode], **insert_kwargs: Any) -> None:
"""Insert a document."""
data_extractor = SQLStructDatapointExtractor(
- llm_from_settings_or_context(Settings, self._service_context),
+ Settings.llm,
self.schema_extract_prompt,
self.output_parser,
self.sql_database,
diff --git a/llama-index-core/llama_index/core/indices/struct_store/sql_query.py b/llama-index-core/llama_index/core/indices/struct_store/sql_query.py
index 7b44db27ed4457242166571ee3df76ec3eceaaf4..be92c9ae2a6477a6ef80ad6315f27448973e5dcd 100644
--- a/llama-index-core/llama_index/core/indices/struct_store/sql_query.py
+++ b/llama-index-core/llama_index/core/indices/struct_store/sql_query.py
@@ -36,12 +36,7 @@ from llama_index.core.response_synthesizers import (
get_response_synthesizer,
)
from llama_index.core.schema import QueryBundle
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.utilities.sql_wrapper import SQLDatabase
from sqlalchemy import Table
@@ -104,11 +99,7 @@ class SQLStructStoreQueryEngine(BaseQueryEngine):
sql_context_container or index.sql_context_container
)
self._sql_only = sql_only
- super().__init__(
- callback_manager=callback_manager_from_settings_or_context(
- Settings, index.service_context
- )
- )
+ super().__init__(callback_manager=Settings.callback_manager)
def _get_prompt_modules(self) -> PromptMixinType:
"""Get prompt modules."""
@@ -183,10 +174,9 @@ class NLStructStoreQueryEngine(BaseQueryEngine):
) -> None:
"""Initialize params."""
self._index = index
- self._llm = llm_from_settings_or_context(Settings, index.service_context)
+ self._llm = Settings.llm
self._sql_database = index.sql_database
self._sql_context_container = index.sql_context_container
- self._service_context = index.service_context
self._ref_doc_id_column = index.ref_doc_id_column
self._text_to_sql_prompt = text_to_sql_prompt or DEFAULT_TEXT_TO_SQL_PROMPT
@@ -196,16 +186,7 @@ class NLStructStoreQueryEngine(BaseQueryEngine):
self._context_query_kwargs = context_query_kwargs or {}
self._synthesize_response = synthesize_response
self._sql_only = sql_only
- super().__init__(
- callback_manager=callback_manager_from_settings_or_context(
- Settings, index.service_context
- )
- )
-
- @property
- def service_context(self) -> Optional[ServiceContext]:
- """Get service context."""
- return self._service_context
+ super().__init__(callback_manager=Settings.callback_manager)
def _get_prompt_modules(self) -> PromptMixinType:
"""Get prompt modules."""
@@ -352,13 +333,10 @@ class BaseSQLTableQueryEngine(BaseQueryEngine):
refine_synthesis_prompt: Optional[BasePromptTemplate] = None,
verbose: bool = False,
streaming: bool = False,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> None:
"""Initialize params."""
- self._service_context = service_context
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
if callback_manager is not None:
self._llm.callback_manager = callback_manager
@@ -376,10 +354,7 @@ class BaseSQLTableQueryEngine(BaseQueryEngine):
self._synthesize_response = synthesize_response
self._verbose = verbose
self._streaming = streaming
- super().__init__(
- callback_manager=callback_manager
- or callback_manager_from_settings_or_context(Settings, service_context),
- )
+ super().__init__(callback_manager=callback_manager or Settings.callback_manager)
def _get_prompts(self) -> Dict[str, Any]:
"""Get prompts."""
@@ -399,11 +374,6 @@ class BaseSQLTableQueryEngine(BaseQueryEngine):
def sql_retriever(self) -> NLSQLRetriever:
"""Get SQL retriever."""
- @property
- def service_context(self) -> Optional[ServiceContext]:
- """Get service context."""
- return self._service_context
-
def _query(self, query_bundle: QueryBundle) -> RESPONSE_TYPE:
"""Answer a query."""
retrieved_nodes, metadata = self.sql_retriever.retrieve_with_metadata(
@@ -490,7 +460,6 @@ class NLSQLTableQueryEngine(BaseSQLTableQueryEngine):
response_synthesis_prompt: Optional[BasePromptTemplate] = None,
refine_synthesis_prompt: Optional[BasePromptTemplate] = None,
tables: Optional[Union[List[str], List[Table]]] = None,
- service_context: Optional[ServiceContext] = None,
context_str_prefix: Optional[str] = None,
embed_model: Optional[BaseEmbedding] = None,
sql_only: bool = False,
@@ -507,7 +476,6 @@ class NLSQLTableQueryEngine(BaseSQLTableQueryEngine):
context_query_kwargs=context_query_kwargs,
tables=tables,
context_str_prefix=context_str_prefix,
- service_context=service_context,
embed_model=embed_model,
sql_only=sql_only,
callback_manager=callback_manager,
@@ -518,7 +486,6 @@ class NLSQLTableQueryEngine(BaseSQLTableQueryEngine):
response_synthesis_prompt=response_synthesis_prompt,
refine_synthesis_prompt=refine_synthesis_prompt,
llm=llm,
- service_context=service_context,
callback_manager=callback_manager,
verbose=verbose,
**kwargs,
@@ -555,7 +522,6 @@ class PGVectorSQLQueryEngine(BaseSQLTableQueryEngine):
response_synthesis_prompt: Optional[BasePromptTemplate] = None,
refine_synthesis_prompt: Optional[BasePromptTemplate] = None,
tables: Optional[Union[List[str], List[Table]]] = None,
- service_context: Optional[ServiceContext] = None,
context_str_prefix: Optional[str] = None,
sql_only: bool = False,
callback_manager: Optional[CallbackManager] = None,
@@ -571,7 +537,6 @@ class PGVectorSQLQueryEngine(BaseSQLTableQueryEngine):
tables=tables,
sql_parser_mode=SQLParserMode.PGVECTOR,
context_str_prefix=context_str_prefix,
- service_context=service_context,
sql_only=sql_only,
callback_manager=callback_manager,
)
@@ -580,7 +545,6 @@ class PGVectorSQLQueryEngine(BaseSQLTableQueryEngine):
response_synthesis_prompt=response_synthesis_prompt,
refine_synthesis_prompt=refine_synthesis_prompt,
llm=llm,
- service_context=service_context,
callback_manager=callback_manager,
**kwargs,
)
@@ -604,7 +568,6 @@ class SQLTableRetrieverQueryEngine(BaseSQLTableQueryEngine):
synthesize_response: bool = True,
response_synthesis_prompt: Optional[BasePromptTemplate] = None,
refine_synthesis_prompt: Optional[BasePromptTemplate] = None,
- service_context: Optional[ServiceContext] = None,
context_str_prefix: Optional[str] = None,
sql_only: bool = False,
callback_manager: Optional[CallbackManager] = None,
@@ -618,7 +581,6 @@ class SQLTableRetrieverQueryEngine(BaseSQLTableQueryEngine):
context_query_kwargs=context_query_kwargs,
table_retriever=table_retriever,
context_str_prefix=context_str_prefix,
- service_context=service_context,
sql_only=sql_only,
callback_manager=callback_manager,
)
@@ -627,7 +589,6 @@ class SQLTableRetrieverQueryEngine(BaseSQLTableQueryEngine):
response_synthesis_prompt=response_synthesis_prompt,
refine_synthesis_prompt=refine_synthesis_prompt,
llm=llm,
- service_context=service_context,
callback_manager=callback_manager,
**kwargs,
)
diff --git a/llama-index-core/llama_index/core/indices/struct_store/sql_retriever.py b/llama-index-core/llama_index/core/indices/struct_store/sql_retriever.py
index 07ba14c1a0f16ad2e8c8a0027d6be65257bf580b..45c3d2e1c35140301a0afdcde80c997bb9f37697 100644
--- a/llama-index-core/llama_index/core/indices/struct_store/sql_retriever.py
+++ b/llama-index-core/llama_index/core/indices/struct_store/sql_retriever.py
@@ -22,13 +22,7 @@ from llama_index.core.prompts.mixin import (
PromptMixinType,
)
from llama_index.core.schema import NodeWithScore, QueryBundle, QueryType, TextNode
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- embed_model_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.utilities.sql_wrapper import SQLDatabase
from sqlalchemy import Table
@@ -196,7 +190,6 @@ class NLSQLRetriever(BaseRetriever, PromptMixin):
table_retriever (ObjectRetriever[SQLTableSchema]): Object retriever for
SQLTableSchema objects. Defaults to None.
context_str_prefix (str): Prefix for context string. Defaults to None.
- service_context (ServiceContext): Service context. Defaults to None.
return_raw (bool): Whether to return plain-text dump of SQL results, or parsed into Nodes.
handle_sql_errors (bool): Whether to handle SQL errors. Defaults to True.
sql_only (bool) : Whether to get only sql and not the sql query result.
@@ -216,7 +209,6 @@ class NLSQLRetriever(BaseRetriever, PromptMixin):
sql_parser_mode: SQLParserMode = SQLParserMode.DEFAULT,
llm: Optional[LLM] = None,
embed_model: Optional[BaseEmbedding] = None,
- service_context: Optional[ServiceContext] = None,
return_raw: bool = True,
handle_sql_errors: bool = True,
sql_only: bool = False,
@@ -231,21 +223,16 @@ class NLSQLRetriever(BaseRetriever, PromptMixin):
sql_database, tables, context_query_kwargs, table_retriever
)
self._context_str_prefix = context_str_prefix
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._text_to_sql_prompt = text_to_sql_prompt or DEFAULT_TEXT_TO_SQL_PROMPT
self._sql_parser_mode = sql_parser_mode
- embed_model = embed_model or embed_model_from_settings_or_context(
- Settings, service_context
- )
+ embed_model = embed_model or Settings.embed_model
self._sql_parser = self._load_sql_parser(sql_parser_mode, embed_model)
self._handle_sql_errors = handle_sql_errors
self._sql_only = sql_only
self._verbose = verbose
- super().__init__(
- callback_manager=callback_manager
- or callback_manager_from_settings_or_context(Settings, service_context)
- )
+ super().__init__(callback_manager=callback_manager or Settings.callback_manager)
def _get_prompts(self) -> Dict[str, Any]:
"""Get prompts."""
diff --git a/llama-index-core/llama_index/core/indices/tree/base.py b/llama-index-core/llama_index/core/indices/tree/base.py
index d97d0b71866bdb3a355192c30e3ce478bc5c8245..fa5025d4d2e2425a4c8d40683f0de93fb425bab4 100644
--- a/llama-index-core/llama_index/core/indices/tree/base.py
+++ b/llama-index-core/llama_index/core/indices/tree/base.py
@@ -18,12 +18,7 @@ from llama_index.core.prompts.default_prompts import (
DEFAULT_SUMMARY_PROMPT,
)
from llama_index.core.schema import BaseNode, IndexNode
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- embed_model_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.storage.docstore.types import RefDocInfo
@@ -77,8 +72,6 @@ class TreeIndex(BaseIndex[IndexGraph]):
build_tree: bool = True,
use_async: bool = False,
show_progress: bool = False,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> None:
"""Initialize params."""
@@ -88,11 +81,10 @@ class TreeIndex(BaseIndex[IndexGraph]):
self.insert_prompt: BasePromptTemplate = insert_prompt or DEFAULT_INSERT_PROMPT
self.build_tree = build_tree
self._use_async = use_async
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
super().__init__(
nodes=nodes,
index_struct=index_struct,
- service_context=service_context,
show_progress=show_progress,
objects=objects,
**kwargs,
@@ -123,9 +115,7 @@ class TreeIndex(BaseIndex[IndexGraph]):
if retriever_mode == TreeRetrieverMode.SELECT_LEAF:
return TreeSelectLeafRetriever(self, object_map=self._object_map, **kwargs)
elif retriever_mode == TreeRetrieverMode.SELECT_LEAF_EMBEDDING:
- embed_model = embed_model or embed_model_from_settings_or_context(
- Settings, self._service_context
- )
+ embed_model = embed_model or Settings.embed_model
return TreeSelectLeafEmbeddingRetriever(
self, embed_model=embed_model, object_map=self._object_map, **kwargs
)
@@ -149,7 +139,6 @@ class TreeIndex(BaseIndex[IndexGraph]):
index_builder = GPTTreeIndexBuilder(
self.num_children,
self.summary_template,
- service_context=self.service_context,
llm=self._llm,
use_async=self._use_async,
show_progress=self._show_progress,
@@ -162,7 +151,6 @@ class TreeIndex(BaseIndex[IndexGraph]):
# TODO: allow to customize insert prompt
inserter = TreeIndexInserter(
self.index_struct,
- service_context=self.service_context,
llm=self._llm,
num_children=self.num_children,
insert_prompt=self.insert_prompt,
diff --git a/llama-index-core/llama_index/core/indices/tree/inserter.py b/llama-index-core/llama_index/core/indices/tree/inserter.py
index 0bb0b54cd492f3ce785ad70aecad535900c2f07d..a147965f24a6da1971e929268d0d840e9a14d3ac 100644
--- a/llama-index-core/llama_index/core/indices/tree/inserter.py
+++ b/llama-index-core/llama_index/core/indices/tree/inserter.py
@@ -16,11 +16,7 @@ from llama_index.core.prompts.default_prompts import (
DEFAULT_SUMMARY_PROMPT,
)
from llama_index.core.schema import BaseNode, MetadataMode, TextNode
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.storage.docstore import BaseDocumentStore
from llama_index.core.storage.docstore.registry import get_default_docstore
@@ -31,7 +27,6 @@ class TreeIndexInserter:
def __init__(
self,
index_graph: IndexGraph,
- service_context: Optional[ServiceContext] = None,
llm: Optional[LLM] = None,
num_children: int = 10,
insert_prompt: BasePromptTemplate = DEFAULT_INSERT_PROMPT,
@@ -45,7 +40,7 @@ class TreeIndexInserter:
self.summary_prompt = summary_prompt
self.insert_prompt = insert_prompt
self.index_graph = index_graph
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._prompt_helper = Settings._prompt_helper or PromptHelper.from_llm_metadata(
self._llm.metadata,
)
diff --git a/llama-index-core/llama_index/core/indices/tree/select_leaf_embedding_retriever.py b/llama-index-core/llama_index/core/indices/tree/select_leaf_embedding_retriever.py
index eb90d28478304f8b82cd86b305dca11a152b9997..67669e2197b4f4a6a88ed0884aa38ee6a246f951 100644
--- a/llama-index-core/llama_index/core/indices/tree/select_leaf_embedding_retriever.py
+++ b/llama-index-core/llama_index/core/indices/tree/select_leaf_embedding_retriever.py
@@ -12,7 +12,7 @@ from llama_index.core.indices.tree.select_leaf_retriever import (
from llama_index.core.indices.utils import get_sorted_node_list
from llama_index.core.prompts import BasePromptTemplate
from llama_index.core.schema import BaseNode, MetadataMode, QueryBundle
-from llama_index.core.settings import Settings, embed_model_from_settings_or_context
+from llama_index.core.settings import Settings
logger = logging.getLogger(__name__)
@@ -68,9 +68,7 @@ class TreeSelectLeafEmbeddingRetriever(TreeSelectLeafRetriever):
object_map=object_map,
**kwargs,
)
- self._embed_model = embed_model or embed_model_from_settings_or_context(
- Settings, index.service_context
- )
+ self._embed_model = embed_model or Settings.embed_model
def _query_level(
self,
@@ -93,7 +91,7 @@ class TreeSelectLeafEmbeddingRetriever(TreeSelectLeafRetriever):
result_response = None
for node, index in zip(selected_nodes, selected_indices):
logger.debug(
- f">[Level {level}] Node [{index+1}] Summary text: "
+ f">[Level {level}] Node [{index + 1}] Summary text: "
f"{' '.join(node.get_content().splitlines())}"
)
diff --git a/llama-index-core/llama_index/core/indices/tree/select_leaf_retriever.py b/llama-index-core/llama_index/core/indices/tree/select_leaf_retriever.py
index b8dc73d14e972e47bf58dafefd8238884e933222..1aa59c01d1f8927e0e6f62e693b1bd6ab268b18b 100644
--- a/llama-index-core/llama_index/core/indices/tree/select_leaf_retriever.py
+++ b/llama-index-core/llama_index/core/indices/tree/select_leaf_retriever.py
@@ -30,10 +30,7 @@ from llama_index.core.schema import (
NodeWithScore,
QueryBundle,
)
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.utils import print_text, truncate_text
logger = logging.getLogger(__name__)
@@ -92,7 +89,6 @@ class TreeSelectLeafRetriever(BaseRetriever):
self._llm = index._llm
self._index_struct = index.index_struct
self._docstore = index.docstore
- self._service_context = index.service_context
self._prompt_helper = Settings._prompt_helper or PromptHelper.from_llm_metadata(
self._llm.metadata,
)
@@ -105,10 +101,7 @@ class TreeSelectLeafRetriever(BaseRetriever):
)
self.child_branch_factor = child_branch_factor
super().__init__(
- callback_manager=callback_manager
- or callback_manager_from_settings_or_context(
- Settings, index.service_context
- ),
+ callback_manager=callback_manager or Settings.callback_manager,
object_map=object_map,
verbose=verbose,
)
@@ -131,7 +124,6 @@ class TreeSelectLeafRetriever(BaseRetriever):
if len(self._index_struct.get_children(selected_node)) == 0:
response_builder = get_response_synthesizer(
llm=self._llm,
- service_context=self._service_context,
text_qa_template=self._text_qa_template,
refine_template=self._refine_template,
callback_manager=self.callback_manager,
@@ -260,7 +252,7 @@ class TreeSelectLeafRetriever(BaseRetriever):
full_debug_str = (
f">[Level {level}] Node "
f"[{number}] Summary text: "
- f"{ selected_node.get_content(metadata_mode=MetadataMode.LLM) }"
+ f"{selected_node.get_content(metadata_mode=MetadataMode.LLM)}"
)
logger.debug(full_debug_str)
if self._verbose:
@@ -375,7 +367,7 @@ class TreeSelectLeafRetriever(BaseRetriever):
full_debug_str = (
f">[Level {level}] Node "
f"[{number}] Summary text: "
- f"{ selected_node.get_content(metadata_mode=MetadataMode.LLM) }"
+ f"{selected_node.get_content(metadata_mode=MetadataMode.LLM)}"
)
logger.debug(full_debug_str)
if self._verbose:
diff --git a/llama-index-core/llama_index/core/indices/vector_store/base.py b/llama-index-core/llama_index/core/indices/vector_store/base.py
index 4810e9e6dd63c7aff85e5881543ded074b907b84..8accc27fe4919bf5c66377eddb64d63bab49f940 100644
--- a/llama-index-core/llama_index/core/indices/vector_store/base.py
+++ b/llama-index-core/llama_index/core/indices/vector_store/base.py
@@ -23,8 +23,7 @@ from llama_index.core.schema import (
MetadataMode,
TransformComponent,
)
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import Settings, embed_model_from_settings_or_context
+from llama_index.core.settings import Settings
from llama_index.core.storage.docstore.types import RefDocInfo
from llama_index.core.storage.storage_context import StorageContext
from llama_index.core.utils import iter_batch
@@ -61,8 +60,6 @@ class VectorStoreIndex(BaseIndex[IndexDict]):
callback_manager: Optional[CallbackManager] = None,
transformations: Optional[List[TransformComponent]] = None,
show_progress: bool = False,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> None:
"""Initialize params."""
@@ -71,14 +68,13 @@ class VectorStoreIndex(BaseIndex[IndexDict]):
self._embed_model = (
resolve_embed_model(embed_model, callback_manager=callback_manager)
if embed_model
- else embed_model_from_settings_or_context(Settings, service_context)
+ else Settings.embed_model
)
self._insert_batch_size = insert_batch_size
super().__init__(
nodes=nodes,
index_struct=index_struct,
- service_context=service_context,
storage_context=storage_context,
show_progress=show_progress,
objects=objects,
@@ -92,8 +88,6 @@ class VectorStoreIndex(BaseIndex[IndexDict]):
cls,
vector_store: BasePydanticVectorStore,
embed_model: Optional[EmbedType] = None,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> "VectorStoreIndex":
if not vector_store.stores_text:
@@ -107,7 +101,6 @@ class VectorStoreIndex(BaseIndex[IndexDict]):
return cls(
nodes=[],
embed_model=embed_model,
- service_context=service_context,
storage_context=storage_context,
**kwargs,
)
@@ -149,7 +142,7 @@ class VectorStoreIndex(BaseIndex[IndexDict]):
results = []
for node in nodes:
embedding = id_to_embed_map[node.node_id]
- result = node.copy()
+ result = node.model_copy()
result.embedding = embedding
results.append(result)
return results
@@ -175,7 +168,7 @@ class VectorStoreIndex(BaseIndex[IndexDict]):
results = []
for node in nodes:
embedding = id_to_embed_map[node.node_id]
- result = node.copy()
+ result = node.model_copy()
result.embedding = embedding
results.append(result)
return results
@@ -202,7 +195,7 @@ class VectorStoreIndex(BaseIndex[IndexDict]):
if not self._vector_store.stores_text or self._store_nodes_override:
for node, new_id in zip(nodes_batch, new_ids):
# NOTE: remove embedding from node to avoid duplication
- node_without_embedding = node.copy()
+ node_without_embedding = node.model_copy()
node_without_embedding.embedding = None
index_struct.add_node(node_without_embedding, text_id=new_id)
@@ -215,7 +208,7 @@ class VectorStoreIndex(BaseIndex[IndexDict]):
for node, new_id in zip(nodes_batch, new_ids):
if isinstance(node, (ImageNode, IndexNode)):
# NOTE: remove embedding from node to avoid duplication
- node_without_embedding = node.copy()
+ node_without_embedding = node.model_copy()
node_without_embedding.embedding = None
index_struct.add_node(node_without_embedding, text_id=new_id)
@@ -243,7 +236,7 @@ class VectorStoreIndex(BaseIndex[IndexDict]):
# we need to add the nodes to the index struct and document store
for node, new_id in zip(nodes_batch, new_ids):
# NOTE: remove embedding from node to avoid duplication
- node_without_embedding = node.copy()
+ node_without_embedding = node.model_copy()
node_without_embedding.embedding = None
index_struct.add_node(node_without_embedding, text_id=new_id)
@@ -256,7 +249,7 @@ class VectorStoreIndex(BaseIndex[IndexDict]):
for node, new_id in zip(nodes_batch, new_ids):
if isinstance(node, (ImageNode, IndexNode)):
# NOTE: remove embedding from node to avoid duplication
- node_without_embedding = node.copy()
+ node_without_embedding = node.model_copy()
node_without_embedding.embedding = None
index_struct.add_node(node_without_embedding, text_id=new_id)
diff --git a/llama-index-core/llama_index/core/indices/vector_store/retrievers/auto_retriever/auto_retriever.py b/llama-index-core/llama_index/core/indices/vector_store/retrievers/auto_retriever/auto_retriever.py
index 269ba5349b7d9eac14e8384fa6366beb5494b4ed..05ef8e78e3483cde6ddd96686431bf98afbac996 100644
--- a/llama-index-core/llama_index/core/indices/vector_store/retrievers/auto_retriever/auto_retriever.py
+++ b/llama-index-core/llama_index/core/indices/vector_store/retrievers/auto_retriever/auto_retriever.py
@@ -22,12 +22,7 @@ from llama_index.core.output_parsers.base import (
from llama_index.core.prompts.base import PromptTemplate
from llama_index.core.prompts.mixin import PromptDictType
from llama_index.core.schema import IndexNode, QueryBundle
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.vector_stores.types import (
FilterCondition,
MetadataFilters,
@@ -54,8 +49,6 @@ class VectorIndexAutoRetriever(BaseAutoRetriever):
parameters.
prompt_template_str: custom prompt template string for LLM.
Uses default template string if None.
- service_context: service context containing reference to an LLM.
- Uses service context from index be default if None.
similarity_top_k (int): number of top k results to return.
empty_query_top_k (Optional[int]): number of top k results to return
if the inferred query string is blank (uses metadata filters only).
@@ -89,20 +82,13 @@ class VectorIndexAutoRetriever(BaseAutoRetriever):
extra_filters: Optional[MetadataFilters] = None,
object_map: Optional[dict] = None,
objects: Optional[List[IndexNode]] = None,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> None:
self._index = index
self._vector_store_info = vector_store_info
self._default_empty_query_vector = default_empty_query_vector
-
- service_context = service_context or self._index.service_context
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
- callback_manager = (
- callback_manager
- or callback_manager_from_settings_or_context(Settings, service_context)
- )
+ self._llm = llm or Settings.llm
+ callback_manager = callback_manager or Settings.callback_manager
# prompt
prompt_template_str = (
@@ -172,8 +158,8 @@ class VectorIndexAutoRetriever(BaseAutoRetriever):
self, query_bundle: QueryBundle, **kwargs: Any
) -> BaseModel:
# prepare input
- info_str = self._vector_store_info.json(indent=4)
- schema_str = VectorStoreQuerySpec.schema_json(indent=4)
+ info_str = self._vector_store_info.model_dump_json(indent=4)
+ schema_str = VectorStoreQuerySpec.model_json_schema(indent=4)
# call LLM
output = self._llm.predict(
@@ -190,8 +176,8 @@ class VectorIndexAutoRetriever(BaseAutoRetriever):
self, query_bundle: QueryBundle, **kwargs: Any
) -> BaseModel:
# prepare input
- info_str = self._vector_store_info.json(indent=4)
- schema_str = VectorStoreQuerySpec.schema_json(indent=4)
+ info_str = self._vector_store_info.model_dump_json(indent=4)
+ schema_str = VectorStoreQuerySpec.model_json_schema(indent=4)
# call LLM
output = await self._llm.apredict(
diff --git a/llama-index-core/llama_index/core/indices/vector_store/retrievers/auto_retriever/output_parser.py b/llama-index-core/llama_index/core/indices/vector_store/retrievers/auto_retriever/output_parser.py
index 0f1640570cb63eacb9e6991887c9cffc89729508..3198089074d9b81f4bbdd65ea902f59ea65e89c1 100644
--- a/llama-index-core/llama_index/core/indices/vector_store/retrievers/auto_retriever/output_parser.py
+++ b/llama-index-core/llama_index/core/indices/vector_store/retrievers/auto_retriever/output_parser.py
@@ -9,7 +9,7 @@ from llama_index.core.vector_stores.types import VectorStoreQuerySpec
class VectorStoreQueryOutputParser(BaseOutputParser):
def parse(self, output: str) -> Any:
json_dict = parse_json_markdown(output)
- query_and_filters = VectorStoreQuerySpec.parse_obj(json_dict)
+ query_and_filters = VectorStoreQuerySpec.model_validate(json_dict)
return StructuredOutput(raw_output=output, parsed_output=query_and_filters)
diff --git a/llama-index-core/llama_index/core/indices/vector_store/retrievers/auto_retriever/prompts.py b/llama-index-core/llama_index/core/indices/vector_store/retrievers/auto_retriever/prompts.py
index e195b43649ddc88d24a8872780f6d310aaeb677f..063071c3b3e6b3470f6faac3100f33f163f207cc 100644
--- a/llama-index-core/llama_index/core/indices/vector_store/retrievers/auto_retriever/prompts.py
+++ b/llama-index-core/llama_index/core/indices/vector_store/retrievers/auto_retriever/prompts.py
@@ -102,7 +102,7 @@ EXAMPLES = f"""\
<< Example 1. >>
Data Source:
```json
-{example_info.json(indent=4)}
+{example_info.model_dump_json(indent=4)}
```
User Query:
@@ -110,13 +110,13 @@ User Query:
Structured Request:
```json
-{example_output.json()}
+{example_output.model_dump_json()}
<< Example 2. >>
Data Source:
```json
-{example_info_2.json(indent=4)}
+{example_info_2.model_dump_json(indent=4)}
```
User Query:
@@ -124,7 +124,7 @@ User Query:
Structured Request:
```json
-{example_output_2.json()}
+{example_output_2.model_dump_json()}
```
""".replace(
diff --git a/llama-index-core/llama_index/core/ingestion/cache.py b/llama-index-core/llama_index/core/ingestion/cache.py
index 1ec754ef023bfe75028d7a041927d202fb351851..3ba238c8d0528bb2fdb69091803a7e309a5a0864 100644
--- a/llama-index-core/llama_index/core/ingestion/cache.py
+++ b/llama-index-core/llama_index/core/ingestion/cache.py
@@ -1,7 +1,7 @@
from typing import List, Optional
import fsspec
-from llama_index.core.bridge.pydantic import BaseModel, Field
+from llama_index.core.bridge.pydantic import BaseModel, Field, ConfigDict
from llama_index.core.schema import BaseNode
from llama_index.core.storage.docstore.utils import doc_to_json, json_to_doc
from llama_index.core.storage.kvstore import (
@@ -15,10 +15,8 @@ DEFAULT_CACHE_NAME = "llama_cache"
class IngestionCache(BaseModel):
- class Config:
- arbitrary_types_allowed = True
-
- nodes_key = "nodes"
+ model_config = ConfigDict(arbitrary_types_allowed=True)
+ nodes_key: str = "nodes"
collection: str = Field(
default=DEFAULT_CACHE_NAME, description="Collection name of the cache."
diff --git a/llama-index-core/llama_index/core/ingestion/data_sinks.py b/llama-index-core/llama_index/core/ingestion/data_sinks.py
index 814d6038b48c0e3a2cae30707ecf296e9bbe0b75..50dd9bb757325c0d288e268218584fa4f789b4cf 100644
--- a/llama-index-core/llama_index/core/ingestion/data_sinks.py
+++ b/llama-index-core/llama_index/core/ingestion/data_sinks.py
@@ -4,7 +4,6 @@ from typing import Generic, Type, TypeVar
from llama_index.core.bridge.pydantic import (
BaseModel,
Field,
- GenericModel,
ValidationError,
)
from llama_index.core.vector_stores.types import BasePydanticVectorStore
@@ -151,7 +150,7 @@ ConfigurableDataSinks = build_conifurable_data_sink_enum()
T = TypeVar("T", bound=BasePydanticVectorStore)
-class ConfiguredDataSink(GenericModel, Generic[T]):
+class ConfiguredDataSink(BaseModel, Generic[T]):
"""
A class containing metadata & implementation for a data sink in a pipeline.
"""
diff --git a/llama-index-core/llama_index/core/ingestion/data_sources.py b/llama-index-core/llama_index/core/ingestion/data_sources.py
index 2f6f216546e05e9724699b9845ce082358186d90..76e1283a617c36bda659e2ca52e5a707d72420ca 100644
--- a/llama-index-core/llama_index/core/ingestion/data_sources.py
+++ b/llama-index-core/llama_index/core/ingestion/data_sources.py
@@ -6,7 +6,6 @@ from typing import Any, Generic, Iterable, List, Optional, Type, TypeVar, cast
from llama_index.core.bridge.pydantic import (
BaseModel,
Field,
- GenericModel,
ValidationError,
)
from llama_index.core.readers.base import BasePydanticReader, ReaderConfig
@@ -443,7 +442,7 @@ ConfigurableDataSources = build_configurable_data_source_enum()
T = TypeVar("T", bound=BaseComponent)
-class ConfiguredDataSource(GenericModel, Generic[T]):
+class ConfiguredDataSource(BaseModel, Generic[T]):
"""
A class containing metadata & implementation for a data source in a pipeline.
"""
diff --git a/llama-index-core/llama_index/core/ingestion/pipeline.py b/llama-index-core/llama_index/core/ingestion/pipeline.py
index 9e28fbac74b3cf6d1e9769b3cbaed6e5b9cd948e..c1dbe5dc2e42c15ebe5f4261f7541709db4b7fa5 100644
--- a/llama-index-core/llama_index/core/ingestion/pipeline.py
+++ b/llama-index-core/llama_index/core/ingestion/pipeline.py
@@ -17,7 +17,7 @@ from llama_index.core.constants import (
DEFAULT_PIPELINE_NAME,
DEFAULT_PROJECT_NAME,
)
-from llama_index.core.bridge.pydantic import BaseModel, Field
+from llama_index.core.bridge.pydantic import BaseModel, Field, ConfigDict
from llama_index.core.ingestion.cache import DEFAULT_CACHE_NAME, IngestionCache
from llama_index.core.instrumentation import get_dispatcher
from llama_index.core.node_parser import SentenceSplitter
@@ -234,6 +234,7 @@ class IngestionPipeline(BaseModel):
```
"""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
name: str = Field(
default=DEFAULT_PIPELINE_NAME,
description="Unique name of the ingestion pipeline",
@@ -266,9 +267,6 @@ class IngestionPipeline(BaseModel):
)
disable_cache: bool = Field(default=False, description="Disable the cache")
- class Config:
- arbitrary_types_allowed = True
-
def __init__(
self,
name: str = DEFAULT_PIPELINE_NAME,
diff --git a/llama-index-core/llama_index/core/ingestion/transformations.py b/llama-index-core/llama_index/core/ingestion/transformations.py
index 49e62df3715d1ce24e9d49f6e6ff47bc8853d762..92da0d27da36a32d14b816b3a9370602846ac29e 100644
--- a/llama-index-core/llama_index/core/ingestion/transformations.py
+++ b/llama-index-core/llama_index/core/ingestion/transformations.py
@@ -8,8 +8,8 @@ from typing import Generic, Sequence, Type, TypeVar
from llama_index.core.bridge.pydantic import (
BaseModel,
Field,
- GenericModel,
ValidationError,
+ SerializeAsAny,
)
from llama_index.core.node_parser import (
CodeSplitter,
@@ -346,13 +346,15 @@ ConfigurableTransformations = build_configurable_transformation_enum()
T = TypeVar("T", bound=BaseComponent)
-class ConfiguredTransformation(GenericModel, Generic[T]):
+class ConfiguredTransformation(BaseModel, Generic[T]):
"""
A class containing metadata & implementation for a transformation in a pipeline.
"""
name: str
- component: T = Field(description="Component that implements the transformation")
+ component: SerializeAsAny[T] = Field(
+ description="Component that implements the transformation"
+ )
@classmethod
def from_component(cls, component: BaseComponent) -> "ConfiguredTransformation":
diff --git a/llama-index-core/llama_index/core/instrumentation/dispatcher.py b/llama-index-core/llama_index/core/instrumentation/dispatcher.py
index 52e1691bc1ba727bc695ac1de70c81f5a5f7452c..caf8477830060628c6f73222bdb649f8e93a0c4a 100644
--- a/llama-index-core/llama_index/core/instrumentation/dispatcher.py
+++ b/llama-index-core/llama_index/core/instrumentation/dispatcher.py
@@ -4,7 +4,7 @@ from typing import Any, List, Optional, Dict, Protocol
import inspect
import uuid
from deprecated import deprecated
-from llama_index.core.bridge.pydantic import BaseModel, Field
+from llama_index.core.bridge.pydantic import BaseModel, Field, ConfigDict
from llama_index.core.instrumentation.event_handlers import BaseEventHandler
from llama_index.core.instrumentation.span import active_span_id
from llama_index.core.instrumentation.span_handlers import (
@@ -52,6 +52,7 @@ class Dispatcher(BaseModel):
hierarchy.
"""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
name: str = Field(default_factory=str, description="Name of dispatcher")
event_handlers: List[BaseEventHandler] = Field(
default=[], description="List of attached handlers"
@@ -314,9 +315,6 @@ class Dispatcher(BaseModel):
else:
return self.name
- class Config:
- arbitrary_types_allowed = True
-
class Manager:
def __init__(self, root: Dispatcher) -> None:
@@ -329,4 +327,4 @@ class Manager:
self.dispatchers[d.name] = d
-Dispatcher.update_forward_refs()
+Dispatcher.model_rebuild()
diff --git a/llama-index-core/llama_index/core/instrumentation/event_handlers/base.py b/llama-index-core/llama_index/core/instrumentation/event_handlers/base.py
index 9f33f5b3dc8413e813519c06c41a80a18dfc432b..8377ff24fd896c0a8ad624802688b325603d8332 100644
--- a/llama-index-core/llama_index/core/instrumentation/event_handlers/base.py
+++ b/llama-index-core/llama_index/core/instrumentation/event_handlers/base.py
@@ -1,12 +1,14 @@
from typing import Any
from abc import abstractmethod
-from llama_index.core.bridge.pydantic import BaseModel
+from llama_index.core.bridge.pydantic import BaseModel, ConfigDict
from llama_index.core.instrumentation.events.base import BaseEvent
class BaseEventHandler(BaseModel):
"""Base callback handler that can be used to track event starts and ends."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
+
@classmethod
def class_name(cls) -> str:
"""Class name."""
@@ -15,6 +17,3 @@ class BaseEventHandler(BaseModel):
@abstractmethod
def handle(self, event: BaseEvent, **kwargs) -> Any:
"""Logic for handling event."""
-
- class Config:
- arbitrary_types_allowed = True
diff --git a/llama-index-core/llama_index/core/instrumentation/events/agent.py b/llama-index-core/llama_index/core/instrumentation/events/agent.py
index 6fd0337c4c6a092c141977ecc1bb8e2a11445f90..73e1c30a608c8f43731e1b26ad62c5eef7938aed 100644
--- a/llama-index-core/llama_index/core/instrumentation/events/agent.py
+++ b/llama-index-core/llama_index/core/instrumentation/events/agent.py
@@ -1,7 +1,7 @@
from typing import Any, Optional
from llama_index.core.base.agent.types import TaskStepOutput, TaskStep
-from llama_index.core.bridge.pydantic import root_validator, validator
+from llama_index.core.bridge.pydantic import model_validator, field_validator
from llama_index.core.instrumentation.events.base import BaseEvent
from llama_index.core.chat_engine.types import (
AGENT_CHAT_RESPONSE_TYPE,
@@ -69,7 +69,8 @@ class AgentChatWithStepEndEvent(BaseEvent):
response: Optional[AGENT_CHAT_RESPONSE_TYPE]
- @root_validator(pre=True)
+ @model_validator(mode="before")
+ @classmethod
def validate_response(cls: Any, values: Any) -> Any:
"""Validate response."""
response = values.get("response")
@@ -84,7 +85,8 @@ class AgentChatWithStepEndEvent(BaseEvent):
return values
- @validator("response", pre=True)
+ @field_validator("response", mode="before")
+ @classmethod
def validate_response_type(cls: Any, response: Any) -> Any:
"""Validate response type."""
if response is None:
diff --git a/llama-index-core/llama_index/core/instrumentation/events/base.py b/llama-index-core/llama_index/core/instrumentation/events/base.py
index 45acac4c0e1db87b96a929d39cb356f4e26f3d4f..add0bac2a1aa3ad14e3a98f09ae4b3b612b2c0d8 100644
--- a/llama-index-core/llama_index/core/instrumentation/events/base.py
+++ b/llama-index-core/llama_index/core/instrumentation/events/base.py
@@ -1,5 +1,5 @@
from typing import Any, Dict, Optional
-from llama_index.core.bridge.pydantic import BaseModel, Field
+from llama_index.core.bridge.pydantic import BaseModel, Field, ConfigDict
from uuid import uuid4
from datetime import datetime
@@ -7,6 +7,10 @@ from llama_index.core.instrumentation.span import active_span_id
class BaseEvent(BaseModel):
+ model_config = ConfigDict(
+ arbitrary_types_allowed=True,
+ # copy_on_model_validation = "deep" # not supported in Pydantic V2...
+ )
timestamp: datetime = Field(default_factory=lambda: datetime.now())
id_: str = Field(default_factory=lambda: uuid4())
span_id: Optional[str] = Field(default_factory=active_span_id.get)
@@ -17,11 +21,11 @@ class BaseEvent(BaseModel):
"""Return class name."""
return "BaseEvent"
- class Config:
- arbitrary_types_allowed = True
- copy_on_model_validation = "deep"
-
def dict(self, **kwargs: Any) -> Dict[str, Any]:
- data = super().dict(**kwargs)
+ """Keep for backwards compatibility."""
+ return self.model_dump(**kwargs)
+
+ def model_dump(self, **kwargs: Any) -> Dict[str, Any]:
+ data = super().model_dump(**kwargs)
data["class_name"] = self.class_name()
return data
diff --git a/llama-index-core/llama_index/core/instrumentation/events/embedding.py b/llama-index-core/llama_index/core/instrumentation/events/embedding.py
index 452c3a95f05b3d56587f21b32296f9795c920d2b..84429a87765a3858f1cbf6e18f637f7aade0e4db 100644
--- a/llama-index-core/llama_index/core/instrumentation/events/embedding.py
+++ b/llama-index-core/llama_index/core/instrumentation/events/embedding.py
@@ -1,6 +1,7 @@
from typing import List
from llama_index.core.instrumentation.events.base import BaseEvent
+from llama_index.core.bridge.pydantic import ConfigDict
class EmbeddingStartEvent(BaseEvent):
@@ -10,6 +11,7 @@ class EmbeddingStartEvent(BaseEvent):
model_dict (dict): Model dictionary containing details about the embedding model.
"""
+ model_config = ConfigDict(protected_namespaces=("pydantic_model_",))
model_dict: dict
@classmethod
diff --git a/llama-index-core/llama_index/core/instrumentation/events/llm.py b/llama-index-core/llama_index/core/instrumentation/events/llm.py
index 94955b0ebee8a08c4e92f5e0c68edb0e7d22e6f2..9c7749f79d80526d8d1770505bca211d9e8c9f3c 100644
--- a/llama-index-core/llama_index/core/instrumentation/events/llm.py
+++ b/llama-index-core/llama_index/core/instrumentation/events/llm.py
@@ -1,5 +1,5 @@
from typing import Any, List, Optional
-from llama_index.core.bridge.pydantic import BaseModel
+from llama_index.core.bridge.pydantic import BaseModel, SerializeAsAny, ConfigDict
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
@@ -17,7 +17,7 @@ class LLMPredictStartEvent(BaseEvent):
template_args (Optional[dict]): Prompt template arguments.
"""
- template: BasePromptTemplate
+ template: SerializeAsAny[BasePromptTemplate]
template_args: Optional[dict]
@classmethod
@@ -53,7 +53,7 @@ class LLMStructuredPredictStartEvent(BaseEvent):
"""
output_cls: Any
- template: BasePromptTemplate
+ template: SerializeAsAny[BasePromptTemplate]
template_args: Optional[dict]
@classmethod
@@ -69,7 +69,7 @@ class LLMStructuredPredictEndEvent(BaseEvent):
output (BaseModel): Predicted output class.
"""
- output: BaseModel
+ output: SerializeAsAny[BaseModel]
@classmethod
def class_name(cls):
@@ -84,7 +84,7 @@ class LLMStructuredPredictInProgressEvent(BaseEvent):
output (BaseModel): Predicted output class.
"""
- output: BaseModel
+ output: SerializeAsAny[BaseModel]
@classmethod
def class_name(cls):
@@ -101,6 +101,7 @@ class LLMCompletionStartEvent(BaseEvent):
model_dict (dict): Model dictionary.
"""
+ model_config = ConfigDict(protected_namespaces=("pydantic_model_",))
prompt: str
additional_kwargs: dict
model_dict: dict
@@ -154,6 +155,7 @@ class LLMChatStartEvent(BaseEvent):
model_dict (dict): Model dictionary.
"""
+ model_config = ConfigDict(protected_namespaces=("pydantic_model_",))
messages: List[ChatMessage]
additional_kwargs: dict
model_dict: dict
diff --git a/llama-index-core/llama_index/core/instrumentation/events/rerank.py b/llama-index-core/llama_index/core/instrumentation/events/rerank.py
index 326bea5a8f708e23bdd5fee8eb4af3fbe8f0c734..91cf491b6baa1627c718b4a2063e8a6796f06a83 100644
--- a/llama-index-core/llama_index/core/instrumentation/events/rerank.py
+++ b/llama-index-core/llama_index/core/instrumentation/events/rerank.py
@@ -2,6 +2,7 @@ from typing import List, Optional
from llama_index.core.instrumentation.events.base import BaseEvent
from llama_index.core.schema import NodeWithScore, QueryType
+from llama_index.core.bridge.pydantic import ConfigDict
class ReRankStartEvent(BaseEvent):
@@ -14,6 +15,7 @@ class ReRankStartEvent(BaseEvent):
model_name (str): Name of the model used for reranking.
"""
+ model_config = ConfigDict(protected_namespaces=("pydantic_model_",))
query: Optional[QueryType]
nodes: List[NodeWithScore]
top_n: int
diff --git a/llama-index-core/llama_index/core/instrumentation/span/base.py b/llama-index-core/llama_index/core/instrumentation/span/base.py
index 5cd1f65c540cab0e1e0ca2af4260a101c773a1fe..27d2ecf5e118cbb705256f95b0450b3348bfd83b 100644
--- a/llama-index-core/llama_index/core/instrumentation/span/base.py
+++ b/llama-index-core/llama_index/core/instrumentation/span/base.py
@@ -1,13 +1,11 @@
from typing import Any, Dict, Optional
-from llama_index.core.bridge.pydantic import BaseModel, Field
+from llama_index.core.bridge.pydantic import BaseModel, Field, ConfigDict
class BaseSpan(BaseModel):
"""Base data class representing a span."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
id_: str = Field(default_factory=str, description="Id of span.")
parent_id: Optional[str] = Field(default=None, description="Id of parent span.")
tags: Dict[str, Any] = Field(default={})
-
- class Config:
- arbitrary_types_allowed = True
diff --git a/llama-index-core/llama_index/core/instrumentation/span_handlers/base.py b/llama-index-core/llama_index/core/instrumentation/span_handlers/base.py
index 8b3bf6908336ae4846eb42641eb3fe81a2165eb1..679beed2f6c4f036b763124c77d27e49a0b16f68 100644
--- a/llama-index-core/llama_index/core/instrumentation/span_handlers/base.py
+++ b/llama-index-core/llama_index/core/instrumentation/span_handlers/base.py
@@ -3,13 +3,14 @@ import threading
from abc import abstractmethod
from typing import Any, Dict, List, Generic, Optional, TypeVar
-from llama_index.core.bridge.pydantic import BaseModel, Field, PrivateAttr
+from llama_index.core.bridge.pydantic import BaseModel, Field, PrivateAttr, ConfigDict
from llama_index.core.instrumentation.span.base import BaseSpan
T = TypeVar("T", bound=BaseSpan)
class BaseSpanHandler(BaseModel, Generic[T]):
+ model_config = ConfigDict(arbitrary_types_allowed=True)
open_spans: Dict[str, T] = Field(
default_factory=dict, description="Dictionary of open spans."
)
@@ -24,9 +25,6 @@ class BaseSpanHandler(BaseModel, Generic[T]):
)
_lock: Optional[threading.Lock] = PrivateAttr()
- class Config:
- arbitrary_types_allowed = True
-
def __init__(
self,
open_spans: Dict[str, T] = {},
@@ -34,13 +32,13 @@ class BaseSpanHandler(BaseModel, Generic[T]):
dropped_spans: List[T] = [],
current_span_ids: Dict[Any, str] = {},
):
- self._lock = None
super().__init__(
open_spans=open_spans,
completed_spans=completed_spans,
dropped_spans=dropped_spans,
current_span_ids=current_span_ids,
)
+ self._lock = None
def class_name(cls) -> str:
"""Class name."""
diff --git a/llama-index-core/llama_index/core/langchain_helpers/agents/toolkits.py b/llama-index-core/llama_index/core/langchain_helpers/agents/toolkits.py
index e9333179c02a5544a4018fd39d45807d8d8e449d..85317fcc78c9343168b87d5546ec7015a59a999d 100644
--- a/llama-index-core/llama_index/core/langchain_helpers/agents/toolkits.py
+++ b/llama-index-core/llama_index/core/langchain_helpers/agents/toolkits.py
@@ -13,13 +13,9 @@ from llama_index.core.langchain_helpers.agents.tools import (
class LlamaToolkit(BaseToolkit):
"""Toolkit for interacting with Llama indices."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
index_configs: List[IndexToolConfig] = Field(default_factory=list)
- class Config:
- """Configuration for this pydantic object."""
-
- arbitrary_types_allowed = True
-
def get_tools(self) -> List[BaseTool]:
"""Get the tools in the toolkit."""
index_tools: List[BaseTool] = [
diff --git a/llama-index-core/llama_index/core/langchain_helpers/agents/tools.py b/llama-index-core/llama_index/core/langchain_helpers/agents/tools.py
index 3dd76210025bcc3407dad058cab2b43c440cae60..c0a4fa60be38c701702c4ad4093d276224fe6846 100644
--- a/llama-index-core/llama_index/core/langchain_helpers/agents/tools.py
+++ b/llama-index-core/llama_index/core/langchain_helpers/agents/tools.py
@@ -29,16 +29,12 @@ def _get_response_with_sources(response: RESPONSE_TYPE) -> str:
class IndexToolConfig(BaseModel):
"""Configuration for LlamaIndex index tool."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
query_engine: BaseQueryEngine
name: str
description: str
tool_kwargs: Dict = Field(default_factory=dict)
- class Config:
- """Configuration for this pydantic object."""
-
- arbitrary_types_allowed = True
-
class LlamaIndexTool(BaseTool):
"""Tool for querying a LlamaIndex."""
diff --git a/llama-index-core/llama_index/core/llama_dataset/base.py b/llama-index-core/llama_index/core/llama_dataset/base.py
index a5dd86ff7edf805ebc07e4986ea4e895e112adee..434c681490eb8077e7ea6871be5ab022124beacf 100644
--- a/llama-index-core/llama_index/core/llama_dataset/base.py
+++ b/llama-index-core/llama_index/core/llama_dataset/base.py
@@ -3,15 +3,15 @@
import json
from abc import abstractmethod
from enum import Enum
-from typing import Generator, Generic, List, Optional, Type, TypeVar, Union
+from typing import Any, Generator, Generic, List, Optional, Type, TypeVar, Union
import tqdm
from llama_index.core.async_utils import asyncio_module
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.llms import LLM
-from llama_index.core.bridge.pydantic import BaseModel, Field, PrivateAttr
+from llama_index.core.bridge.pydantic import BaseModel, Field, PrivateAttr, ConfigDict
from llama_index.core.evaluation import BaseEvaluator
-from pandas import DataFrame as PandasDataFrame
+
PredictorType = Union[BaseQueryEngine, BaseEvaluator, LLM]
P = TypeVar("P", bound=PredictorType)
@@ -28,6 +28,7 @@ class CreatedByType(str, Enum):
class CreatedBy(BaseModel):
+ model_config = ConfigDict(protected_namespaces=("pydantic_model_",))
model_name: Optional[str] = Field(
default_factory=str, description="When CreatedByType.AI, specify model name."
)
@@ -74,7 +75,7 @@ class BaseLlamaPredictionDataset(BaseModel):
return self.predictions[val]
@abstractmethod
- def to_pandas(self) -> PandasDataFrame:
+ def to_pandas(self) -> Any:
"""Create pandas dataframe."""
def save_json(self, path: str) -> None:
@@ -83,7 +84,7 @@ class BaseLlamaPredictionDataset(BaseModel):
predictions = None
if self.predictions:
predictions = [
- self._prediction_type.dict(el) for el in self.predictions
+ self._prediction_type.model_dump(el) for el in self.predictions
]
data = {
"predictions": predictions,
@@ -97,7 +98,9 @@ class BaseLlamaPredictionDataset(BaseModel):
with open(path) as f:
data = json.load(f)
- predictions = [cls._prediction_type.parse_obj(el) for el in data["predictions"]]
+ predictions = [
+ cls._prediction_type.model_validate(el) for el in data["predictions"]
+ ]
return cls(
predictions=predictions,
@@ -127,13 +130,13 @@ class BaseLlamaDataset(BaseModel, Generic[P]):
return self.examples[val]
@abstractmethod
- def to_pandas(self) -> PandasDataFrame:
+ def to_pandas(self) -> Any:
"""Create pandas dataframe."""
def save_json(self, path: str) -> None:
"""Save json."""
with open(path, "w") as f:
- examples = [self._example_type.dict(el) for el in self.examples]
+ examples = [self._example_type.model_dump(el) for el in self.examples]
data = {
"examples": examples,
}
@@ -146,7 +149,7 @@ class BaseLlamaDataset(BaseModel, Generic[P]):
with open(path) as f:
data = json.load(f)
- examples = [cls._example_type.parse_obj(el) for el in data["examples"]]
+ examples = [cls._example_type.model_validate(el) for el in data["examples"]]
return cls(
examples=examples,
diff --git a/llama-index-core/llama_index/core/llama_dataset/evaluator_evaluation.py b/llama-index-core/llama_index/core/llama_dataset/evaluator_evaluation.py
index 7f808740fd976e9cf311570c002e414fa51454c1..6ef540efeed9f175a06c0d8a22473f3b8252f93f 100644
--- a/llama-index-core/llama_index/core/llama_dataset/evaluator_evaluation.py
+++ b/llama-index-core/llama_index/core/llama_dataset/evaluator_evaluation.py
@@ -2,7 +2,7 @@
import asyncio
import time
-from typing import List, Optional
+from typing import Any, List, Optional
from llama_index.core.bridge.pydantic import Field
from llama_index.core.evaluation import (
@@ -17,7 +17,6 @@ from llama_index.core.llama_dataset.base import (
BaseLlamaPredictionDataset,
CreatedBy,
)
-from pandas import DataFrame as PandasDataFrame
class EvaluatorExamplePrediction(BaseLlamaExamplePrediction):
@@ -115,8 +114,15 @@ class EvaluatorPredictionDataset(BaseLlamaPredictionDataset):
_prediction_type = EvaluatorExamplePrediction
- def to_pandas(self) -> PandasDataFrame:
+ def to_pandas(self) -> Any:
"""Create pandas dataframe."""
+ try:
+ import pandas as pd
+ except ImportError:
+ raise ImportError(
+ "pandas is required for this function. Please install it with `pip install pandas`."
+ )
+
data = {}
if self.predictions:
data = {
@@ -124,7 +130,7 @@ class EvaluatorPredictionDataset(BaseLlamaPredictionDataset):
"score": [t.score for t in self.predictions],
}
- return PandasDataFrame(data)
+ return pd.DataFrame(data)
@property
def class_name(self) -> str:
@@ -137,8 +143,15 @@ class LabelledEvaluatorDataset(BaseLlamaDataset[BaseEvaluator]):
_example_type = LabelledEvaluatorDataExample
- def to_pandas(self) -> PandasDataFrame:
+ def to_pandas(self) -> Any:
"""Create pandas dataframe."""
+ try:
+ import pandas as pd
+ except ImportError:
+ raise ImportError(
+ "pandas is required for this function. Please install it with `pip install pandas`."
+ )
+
data = {
"query": [t.query for t in self.examples],
"answer": [t.answer for t in self.examples],
@@ -156,7 +169,7 @@ class LabelledEvaluatorDataset(BaseLlamaDataset[BaseEvaluator]):
],
}
- return PandasDataFrame(data)
+ return pd.DataFrame(data)
async def _apredict_example(
self,
@@ -273,8 +286,15 @@ class PairwiseEvaluatorPredictionDataset(BaseLlamaPredictionDataset):
_prediction_type = PairwiseEvaluatorExamplePrediction
- def to_pandas(self) -> PandasDataFrame:
+ def to_pandas(self) -> Any:
"""Create pandas dataframe."""
+ try:
+ import pandas as pd
+ except ImportError:
+ raise ImportError(
+ "pandas is required for this function. Please install it with `pip install pandas`."
+ )
+
data = {}
if self.predictions:
data = {
@@ -283,7 +303,7 @@ class PairwiseEvaluatorPredictionDataset(BaseLlamaPredictionDataset):
"ordering": [t.evaluation_source.value for t in self.predictions],
}
- return PandasDataFrame(data)
+ return pd.DataFrame(data)
@property
def class_name(self) -> str:
@@ -318,8 +338,15 @@ class LabelledPairwiseEvaluatorDataset(BaseLlamaDataset[BaseEvaluator]):
_example_type = LabelledPairwiseEvaluatorDataExample
- def to_pandas(self) -> PandasDataFrame:
+ def to_pandas(self) -> Any:
"""Create pandas dataframe."""
+ try:
+ import pandas as pd
+ except ImportError:
+ raise ImportError(
+ "pandas is required for this function. Please install it with `pip install pandas`."
+ )
+
data = {
"query": [t.query for t in self.examples],
"answer": [t.answer for t in self.examples],
@@ -339,7 +366,7 @@ class LabelledPairwiseEvaluatorDataset(BaseLlamaDataset[BaseEvaluator]):
],
}
- return PandasDataFrame(data)
+ return pd.DataFrame(data)
async def _apredict_example(
self,
diff --git a/llama-index-core/llama_index/core/llama_dataset/generator.py b/llama-index-core/llama_index/core/llama_dataset/generator.py
index 808ed7eb00a4f019e6d7d9b9c30c6388cd50f237..3b81373848ce8a8b6c0b3b2eed077d7137de2712 100644
--- a/llama-index-core/llama_index/core/llama_dataset/generator.py
+++ b/llama-index-core/llama_index/core/llama_dataset/generator.py
@@ -1,11 +1,12 @@
"""Dataset generation from documents."""
+
from __future__ import annotations
import re
import warnings
from typing import List, Optional
-from llama_index.core import Document, ServiceContext, SummaryIndex
+from llama_index.core import Document, SummaryIndex
from llama_index.core.async_utils import DEFAULT_NUM_WORKERS, run_jobs, asyncio_run
from llama_index.core.base.response.schema import RESPONSE_TYPE
from llama_index.core.ingestion import run_transformations
@@ -30,11 +31,8 @@ from llama_index.core.schema import (
NodeWithScore,
TransformComponent,
)
-from llama_index.core.settings import (
- Settings,
- llm_from_settings_or_context,
- transformations_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
+
DEFAULT_QUESTION_GENERATION_PROMPT = """\
Context information is below.
@@ -55,7 +53,6 @@ class RagDatasetGenerator(PromptMixin):
Args:
nodes (List[Node]): List of nodes. (Optional)
- service_context (ServiceContext): Service Context.
num_questions_per_chunk: number of question to be \
generated per chunk. Each document is chunked of size 512 words.
text_question_template: Question generation template.
@@ -74,11 +71,9 @@ class RagDatasetGenerator(PromptMixin):
metadata_mode: MetadataMode = MetadataMode.NONE,
show_progress: bool = False,
workers: int = DEFAULT_NUM_WORKERS,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> None:
"""Init params."""
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self.num_questions_per_chunk = num_questions_per_chunk
self.text_question_template = text_question_template or PromptTemplate(
DEFAULT_QUESTION_GENERATION_PROMPT
@@ -107,14 +102,10 @@ class RagDatasetGenerator(PromptMixin):
exclude_keywords: Optional[List[str]] = None,
show_progress: bool = False,
workers: int = DEFAULT_NUM_WORKERS,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> RagDatasetGenerator:
"""Generate dataset from documents."""
- llm = llm or llm_from_settings_or_context(Settings, service_context)
- transformations = transformations or transformations_from_settings_or_context(
- Settings, service_context
- )
+ llm = llm or Settings.llm
+ transformations = transformations or Settings.transformations
nodes = run_transformations(
documents, transformations, show_progress=show_progress
@@ -125,7 +116,6 @@ class RagDatasetGenerator(PromptMixin):
exclude_keywords = exclude_keywords or []
node_postprocessor = KeywordNodePostprocessor(
llm=llm,
- service_context=service_context,
required_keywords=required_keywords,
exclude_keywords=exclude_keywords,
)
@@ -136,7 +126,6 @@ class RagDatasetGenerator(PromptMixin):
return cls(
nodes=nodes,
llm=llm,
- service_context=service_context,
num_questions_per_chunk=num_questions_per_chunk,
text_question_template=text_question_template,
text_qa_template=text_qa_template,
diff --git a/llama-index-core/llama_index/core/llama_dataset/legacy/embedding.py b/llama-index-core/llama_index/core/llama_dataset/legacy/embedding.py
index ad3922471a4047470067bb938d6e73c2b39724e1..e202f6cec15f59488cc17bb6308b0e18c385fb30 100644
--- a/llama-index-core/llama_index/core/llama_dataset/legacy/embedding.py
+++ b/llama-index-core/llama_index/core/llama_dataset/legacy/embedding.py
@@ -1,4 +1,5 @@
"""Common utils for embeddings."""
+
import json
import re
import uuid
@@ -37,7 +38,7 @@ class EmbeddingQAFinetuneDataset(BaseModel):
def save_json(self, path: str) -> None:
"""Save json."""
with open(path, "w") as f:
- json.dump(self.dict(), f, indent=4)
+ json.dump(self.model_dump(), f, indent=4)
@classmethod
def from_json(cls, path: str) -> "EmbeddingQAFinetuneDataset":
diff --git a/llama-index-core/llama_index/core/llama_dataset/rag.py b/llama-index-core/llama_index/core/llama_dataset/rag.py
index 09750e22b081cb4cac8e3d2639f28bf01e880b63..6d1c2dc9155268d73272c8ff3606b31646c6f57e 100644
--- a/llama-index-core/llama_index/core/llama_dataset/rag.py
+++ b/llama-index-core/llama_index/core/llama_dataset/rag.py
@@ -2,7 +2,7 @@
import asyncio
import time
-from typing import List, Optional
+from typing import Any, List, Optional
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.bridge.pydantic import Field
@@ -13,7 +13,6 @@ from llama_index.core.llama_dataset.base import (
BaseLlamaPredictionDataset,
CreatedBy,
)
-from pandas import DataFrame as PandasDataFrame
class RagExamplePrediction(BaseLlamaExamplePrediction):
@@ -83,8 +82,15 @@ class RagPredictionDataset(BaseLlamaPredictionDataset):
_prediction_type = RagExamplePrediction
- def to_pandas(self) -> PandasDataFrame:
+ def to_pandas(self) -> Any:
"""Create pandas dataframe."""
+ try:
+ import pandas as pd
+ except ImportError:
+ raise ImportError(
+ "pandas is required for this function. Please install it with `pip install pandas`."
+ )
+
data = {}
if self.predictions:
data = {
@@ -92,7 +98,7 @@ class RagPredictionDataset(BaseLlamaPredictionDataset):
"contexts": [t.contexts for t in self.predictions],
}
- return PandasDataFrame(data)
+ return pd.DataFrame(data)
@property
def class_name(self) -> str:
@@ -105,8 +111,15 @@ class LabelledRagDataset(BaseLlamaDataset[BaseQueryEngine]):
_example_type = LabelledRagDataExample
- def to_pandas(self) -> PandasDataFrame:
+ def to_pandas(self) -> Any:
"""Create pandas dataframe."""
+ try:
+ import pandas as pd
+ except ImportError:
+ raise ImportError(
+ "pandas is required for this function. Please install it with `pip install pandas`."
+ )
+
data = {
"query": [t.query for t in self.examples],
"reference_contexts": [t.reference_contexts for t in self.examples],
@@ -115,7 +128,7 @@ class LabelledRagDataset(BaseLlamaDataset[BaseQueryEngine]):
"query_by": [str(t.query_by) for t in self.examples],
}
- return PandasDataFrame(data)
+ return pd.DataFrame(data)
async def _apredict_example(
self,
diff --git a/llama-index-core/llama_index/core/llama_dataset/simple.py b/llama-index-core/llama_index/core/llama_dataset/simple.py
index a1712e6248e33e4bdacce1bcbe73d1124cda1565..4393ab8c64a5f2e6581eb1b47b99ff9e23141c51 100644
--- a/llama-index-core/llama_index/core/llama_dataset/simple.py
+++ b/llama-index-core/llama_index/core/llama_dataset/simple.py
@@ -1,4 +1,4 @@
-from typing import Optional, List
+from typing import Any, Optional, List
from llama_index.core.llama_dataset.base import (
BaseLlamaDataExample,
BaseLlamaDataset,
@@ -8,7 +8,6 @@ from llama_index.core.llama_dataset.base import (
)
from llama_index.core.llms import LLM
from llama_index.core.bridge.pydantic import Field
-from pandas import DataFrame as PandasDataFrame
class SimpleExamplePrediction(BaseLlamaExamplePrediction):
@@ -36,15 +35,22 @@ class SimplePredictionDataset(BaseLlamaPredictionDataset):
_prediction_type = SimpleExamplePrediction
- def to_pandas(self) -> PandasDataFrame:
+ def to_pandas(self) -> Any:
"""Create pandas dataframe."""
+ try:
+ import pandas as pd
+ except ImportError:
+ raise ImportError(
+ "pandas is required for this function. Please install it with `pip install pandas`."
+ )
+
data = {}
if self.predictions:
data = {
"label": [t.label for t in self.predictions],
}
- return PandasDataFrame(data)
+ return pd.DataFrame(data)
@property
def class_name(self) -> str:
@@ -81,15 +87,22 @@ class LabelledSimpleDataset(BaseLlamaDataset[LLM]):
"""
return SimplePredictionDataset(predictions=predictions)
- def to_pandas(self) -> PandasDataFrame:
+ def to_pandas(self) -> Any:
"""Create pandas dataframe."""
+ try:
+ import pandas as pd
+ except ImportError:
+ raise ImportError(
+ "pandas is required for this function. Please install it with `pip install pandas`."
+ )
+
data = {
"reference_label": [t.reference_label for t in self.examples],
"text": [t.text for t in self.examples],
"text_by": [str(t.text_by) for t in self.examples],
}
- return PandasDataFrame(data)
+ return pd.DataFrame(data)
async def _apredict_example(
self,
diff --git a/llama-index-core/llama_index/core/llms/llm.py b/llama-index-core/llama_index/core/llms/llm.py
index 7b7c88f9b57c3ae766da7507694900d2b2fb32a2..501750e0fd5c5c08c121a7542b9a0a122021ef4d 100644
--- a/llama-index-core/llama_index/core/llms/llm.py
+++ b/llama-index-core/llama_index/core/llms/llm.py
@@ -1,7 +1,6 @@
from collections import ChainMap
from typing import (
Any,
- Callable,
Dict,
List,
Generator,
@@ -14,6 +13,7 @@ from typing import (
runtime_checkable,
TYPE_CHECKING,
)
+from typing_extensions import Annotated
from llama_index.core.base.llms.types import (
ChatMessage,
@@ -32,9 +32,11 @@ from llama_index.core.base.query_pipeline.query import (
)
from llama_index.core.bridge.pydantic import (
BaseModel,
+ WithJsonSchema,
Field,
- root_validator,
- validator,
+ field_validator,
+ model_validator,
+ ConfigDict,
)
from llama_index.core.callbacks import CBEventType, EventPayload
from llama_index.core.base.llms.base import BaseLLM
@@ -147,6 +149,18 @@ def default_completion_to_prompt(prompt: str) -> str:
return prompt
+MessagesToPromptCallable = Annotated[
+ Optional[MessagesToPromptType],
+ WithJsonSchema({"type": "string"}),
+]
+
+
+CompletionToPromptCallable = Annotated[
+ Optional[CompletionToPromptType],
+ WithJsonSchema({"type": "string"}),
+]
+
+
class LLM(BaseLLM):
"""
The LLM class is the main class for interacting with language models.
@@ -167,12 +181,12 @@ class LLM(BaseLLM):
system_prompt: Optional[str] = Field(
default=None, description="System prompt for LLM calls."
)
- messages_to_prompt: Callable = Field(
+ messages_to_prompt: MessagesToPromptCallable = Field(
description="Function to convert a list of messages to an LLM prompt.",
default=None,
exclude=True,
)
- completion_to_prompt: Callable = Field(
+ completion_to_prompt: CompletionToPromptCallable = Field(
description="Function to convert a completion to an LLM prompt.",
default=None,
exclude=True,
@@ -193,25 +207,27 @@ class LLM(BaseLLM):
# -- Pydantic Configs --
- @validator("messages_to_prompt", pre=True)
+ @field_validator("messages_to_prompt")
+ @classmethod
def set_messages_to_prompt(
cls, messages_to_prompt: Optional[MessagesToPromptType]
) -> MessagesToPromptType:
return messages_to_prompt or generic_messages_to_prompt
- @validator("completion_to_prompt", pre=True)
+ @field_validator("completion_to_prompt")
+ @classmethod
def set_completion_to_prompt(
cls, completion_to_prompt: Optional[CompletionToPromptType]
) -> CompletionToPromptType:
return completion_to_prompt or default_completion_to_prompt
- @root_validator
- def check_prompts(cls, values: Dict[str, Any]) -> Dict[str, Any]:
- if values.get("completion_to_prompt") is None:
- values["completion_to_prompt"] = default_completion_to_prompt
- if values.get("messages_to_prompt") is None:
- values["messages_to_prompt"] = generic_messages_to_prompt
- return values
+ @model_validator(mode="after")
+ def check_prompts(self) -> "LLM":
+ if self.completion_to_prompt is None:
+ self.completion_to_prompt = default_completion_to_prompt
+ if self.messages_to_prompt is None:
+ self.messages_to_prompt = generic_messages_to_prompt
+ return self
# -- Utils --
@@ -839,12 +855,10 @@ class LLM(BaseLLM):
class BaseLLMComponent(QueryComponent):
"""Base LLM component."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
llm: LLM = Field(..., description="LLM")
streaming: bool = Field(default=False, description="Streaming mode")
- class Config:
- arbitrary_types_allowed = True
-
def set_callback_manager(self, callback_manager: Any) -> None:
"""Set callback manager."""
self.llm.callback_manager = callback_manager
diff --git a/llama-index-core/llama_index/core/llms/mock.py b/llama-index-core/llama_index/core/llms/mock.py
index 1a8e12ec46dbf974e1f5fed4ea9fbb97f3f0d16e..0cc222555291957a266c4ebb699cc788b9042841 100644
--- a/llama-index-core/llama_index/core/llms/mock.py
+++ b/llama-index-core/llama_index/core/llms/mock.py
@@ -1,4 +1,4 @@
-from typing import Any, Callable, Optional, Sequence
+from typing import Any, Optional, Sequence
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponseGen,
@@ -9,6 +9,7 @@ from llama_index.core.base.llms.types import (
from llama_index.core.callbacks import CallbackManager
from llama_index.core.llms.callbacks import llm_chat_callback, llm_completion_callback
from llama_index.core.llms.custom import CustomLLM
+from llama_index.core.llms.llm import MessagesToPromptType, CompletionToPromptType
from llama_index.core.types import PydanticProgramMode
@@ -20,13 +21,13 @@ class MockLLM(CustomLLM):
max_tokens: Optional[int] = None,
callback_manager: Optional[CallbackManager] = None,
system_prompt: Optional[str] = None,
- messages_to_prompt: Optional[Callable[[Sequence[ChatMessage]], str]] = None,
- completion_to_prompt: Optional[Callable[[str], str]] = None,
+ messages_to_prompt: Optional[MessagesToPromptType] = None,
+ completion_to_prompt: Optional[CompletionToPromptType] = None,
pydantic_program_mode: PydanticProgramMode = PydanticProgramMode.DEFAULT,
) -> None:
super().__init__(
max_tokens=max_tokens,
- callback_manager=callback_manager,
+ callback_manager=callback_manager or CallbackManager([]),
system_prompt=system_prompt,
messages_to_prompt=messages_to_prompt,
completion_to_prompt=completion_to_prompt,
diff --git a/llama-index-core/llama_index/core/llms/structured_llm.py b/llama-index-core/llama_index/core/llms/structured_llm.py
index 8559107a658577b85aa3236eefefe6ff2c5ee904..26c58ef076e71316589d26a9299f4f4fe43cdfee 100644
--- a/llama-index-core/llama_index/core/llms/structured_llm.py
+++ b/llama-index-core/llama_index/core/llms/structured_llm.py
@@ -18,7 +18,12 @@ from llama_index.core.base.llms.types import (
LLMMetadata,
MessageRole,
)
-from llama_index.core.bridge.pydantic import BaseModel, Field
+from llama_index.core.bridge.pydantic import (
+ BaseModel,
+ Field,
+ SerializeAsAny,
+ ConfigDict,
+)
from llama_index.core.base.llms.types import LLMMetadata
from llama_index.core.llms.callbacks import (
llm_chat_callback,
@@ -77,7 +82,7 @@ class StructuredLLM(LLM):
"""
- llm: LLM
+ llm: SerializeAsAny[LLM]
output_cls: Type[BaseModel] = Field(
..., description="Output class for the structured LLM.", exclude=True
)
@@ -105,7 +110,9 @@ class StructuredLLM(LLM):
output_cls=self.output_cls, prompt=chat_prompt
)
return ChatResponse(
- message=ChatMessage(role=MessageRole.ASSISTANT, content=output.json()),
+ message=ChatMessage(
+ role=MessageRole.ASSISTANT, content=output.model_dump_json()
+ ),
raw=output,
)
@@ -157,7 +164,9 @@ class StructuredLLM(LLM):
output_cls=self.output_cls, prompt=chat_prompt
)
return ChatResponse(
- message=ChatMessage(role=MessageRole.ASSISTANT, content=output.json()),
+ message=ChatMessage(
+ role=MessageRole.ASSISTANT, content=output.model_dump_json()
+ ),
raw=output,
)
@@ -216,10 +225,8 @@ class StructuredLLMComponent(QueryComponent):
"""
- llm_component: BaseLLMComponent
-
- class Config:
- arbitrary_types_allowed = True
+ model_config = ConfigDict(arbitrary_types_allowed=True)
+ llm_component: SerializeAsAny[BaseLLMComponent]
def set_callback_manager(self, callback_manager: Any) -> None:
"""Set callback manager."""
diff --git a/llama-index-core/llama_index/core/memory/chat_memory_buffer.py b/llama-index-core/llama_index/core/memory/chat_memory_buffer.py
index 9e07f0d21426ba5a8ee94e74bdf19134e5ef3483..fe316c8f63ddb94c96067695357eec422235486c 100644
--- a/llama-index-core/llama_index/core/memory/chat_memory_buffer.py
+++ b/llama-index-core/llama_index/core/memory/chat_memory_buffer.py
@@ -2,7 +2,7 @@ import json
from typing import Any, Callable, Dict, List, Optional
from llama_index.core.base.llms.types import ChatMessage, MessageRole
-from llama_index.core.bridge.pydantic import Field, root_validator
+from llama_index.core.bridge.pydantic import Field, model_validator
from llama_index.core.llms.llm import LLM
from llama_index.core.memory.types import (
DEFAULT_CHAT_STORE_KEY,
@@ -24,15 +24,14 @@ class ChatMemoryBuffer(BaseChatStoreMemory):
default_factory=get_tokenizer,
exclude=True,
)
- chat_store: BaseChatStore = Field(default_factory=SimpleChatStore)
- chat_store_key: str = Field(default=DEFAULT_CHAT_STORE_KEY)
@classmethod
def class_name(cls) -> str:
"""Get class name."""
return "ChatMemoryBuffer"
- @root_validator(pre=True)
+ @model_validator(mode="before")
+ @classmethod
def validate_memory(cls, values: dict) -> dict:
# Validate token limit
token_limit = values.get("token_limit", -1)
@@ -82,6 +81,7 @@ class ChatMemoryBuffer(BaseChatStoreMemory):
def from_string(cls, json_str: str) -> "ChatMemoryBuffer":
"""Create a chat memory buffer from a string."""
dict_obj = json.loads(json_str)
+ print(f"dict_obj: {dict_obj}", flush=True)
return cls.from_dict(dict_obj)
def to_dict(self, **kwargs: Any) -> dict:
diff --git a/llama-index-core/llama_index/core/memory/chat_summary_memory_buffer.py b/llama-index-core/llama_index/core/memory/chat_summary_memory_buffer.py
index ad049202143f07b1e1447f40ca425ecb97e22000..3f0bc4c21f9aa7022971c22d1e5b5bbf2bd82b1e 100644
--- a/llama-index-core/llama_index/core/memory/chat_summary_memory_buffer.py
+++ b/llama-index-core/llama_index/core/memory/chat_summary_memory_buffer.py
@@ -3,7 +3,13 @@ import logging
from typing import Any, Callable, Dict, List, Tuple, Optional
from llama_index.core.base.llms.types import ChatMessage, MessageRole
-from llama_index.core.bridge.pydantic import Field, PrivateAttr, root_validator
+from llama_index.core.bridge.pydantic import (
+ Field,
+ PrivateAttr,
+ model_validator,
+ field_serializer,
+ SerializeAsAny,
+)
from llama_index.core.llms.llm import LLM
from llama_index.core.memory.types import DEFAULT_CHAT_STORE_KEY, BaseMemory
from llama_index.core.storage.chat_store import BaseChatStore, SimpleChatStore
@@ -35,7 +41,7 @@ class ChatSummaryMemoryBuffer(BaseMemory):
token_limit: int
count_initial_tokens: bool = False
- llm: Optional[LLM] = None
+ llm: Optional[SerializeAsAny[LLM]] = None
summarize_prompt: Optional[str] = None
tokenizer_fn: Callable[[str], List] = Field(
# NOTE: mypy does not handle the typing here well, hence the cast
@@ -43,12 +49,19 @@ class ChatSummaryMemoryBuffer(BaseMemory):
exclude=True,
)
- chat_store: BaseChatStore = Field(default_factory=SimpleChatStore)
+ chat_store: SerializeAsAny[BaseChatStore] = Field(default_factory=SimpleChatStore)
chat_store_key: str = Field(default=DEFAULT_CHAT_STORE_KEY)
_token_count: int = PrivateAttr(default=0)
- @root_validator(pre=True)
+ @field_serializer("chat_store")
+ def serialize_courses_in_order(chat_store: BaseChatStore):
+ res = chat_store.model_dump()
+ res.update({"class_name": chat_store.class_name()})
+ return res
+
+ @model_validator(mode="before")
+ @classmethod
def validate_memory(cls, values: dict) -> dict:
"""Validate the memory."""
# Validate token limits
diff --git a/llama-index-core/llama_index/core/memory/simple_composable_memory.py b/llama-index-core/llama_index/core/memory/simple_composable_memory.py
index b536205178bc9f64726eaeb4f669bf079b38adce..c11c86ad9670ff9caa7920a9b1feb3ace02ca5cf 100644
--- a/llama-index-core/llama_index/core/memory/simple_composable_memory.py
+++ b/llama-index-core/llama_index/core/memory/simple_composable_memory.py
@@ -1,7 +1,7 @@
from typing import Any, List, Optional
from llama_index.core.base.llms.types import ChatMessage, MessageRole
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, SerializeAsAny
from llama_index.core.memory.types import (
BaseMemory,
)
@@ -25,10 +25,10 @@ class SimpleComposableMemory(BaseMemory):
Retrieved messages from these sources get added to the system prompt message.
"""
- primary_memory: BaseMemory = Field(
+ primary_memory: SerializeAsAny[BaseMemory] = Field(
description="Primary memory source for chat agent.",
)
- secondary_memory_sources: List[BaseMemory] = Field(
+ secondary_memory_sources: List[SerializeAsAny[BaseMemory]] = Field(
default_factory=list, description="Secondary memory sources."
)
diff --git a/llama-index-core/llama_index/core/memory/types.py b/llama-index-core/llama_index/core/memory/types.py
index 3dce71e47eff3917afd0e463c20698eb2ce520fd..8f7d318e4f4915310ce08398ba29bfe672a68461 100644
--- a/llama-index-core/llama_index/core/memory/types.py
+++ b/llama-index-core/llama_index/core/memory/types.py
@@ -5,7 +5,7 @@ from llama_index.core.base.llms.types import ChatMessage
from llama_index.core.llms.llm import LLM
from llama_index.core.schema import BaseComponent
from llama_index.core.storage.chat_store import BaseChatStore, SimpleChatStore
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, field_serializer, SerializeAsAny
DEFAULT_CHAT_STORE_KEY = "chat_history"
@@ -62,9 +62,15 @@ class BaseChatStoreMemory(BaseMemory):
NOTE: The interface for memory is not yet finalized and is subject to change.
"""
- chat_store: BaseChatStore = Field(default_factory=SimpleChatStore)
+ chat_store: SerializeAsAny[BaseChatStore] = Field(default_factory=SimpleChatStore)
chat_store_key: str = Field(default=DEFAULT_CHAT_STORE_KEY)
+ @field_serializer("chat_store")
+ def serialize_courses_in_order(chat_store: BaseChatStore):
+ res = chat_store.model_dump()
+ res.update({"class_name": chat_store.class_name()})
+ return res
+
@classmethod
def class_name(cls) -> str:
"""Get class name."""
diff --git a/llama-index-core/llama_index/core/memory/vector_memory.py b/llama-index-core/llama_index/core/memory/vector_memory.py
index c927dcdd5bfcde29d8af32c3e81a9b5b75c50a74..58353a765865a6e219538f6a579ac592b6bf5093 100644
--- a/llama-index-core/llama_index/core/memory/vector_memory.py
+++ b/llama-index-core/llama_index/core/memory/vector_memory.py
@@ -6,7 +6,7 @@ Memory backed by a vector database.
import uuid
from typing import Any, Dict, List, Optional
-from llama_index.core.bridge.pydantic import validator
+from llama_index.core.bridge.pydantic import field_validator
from llama_index.core.schema import TextNode
from llama_index.core.vector_stores.types import VectorStore
@@ -68,7 +68,8 @@ class VectorMemory(BaseMemory):
description="The super node for the current active user-message batch.",
)
- @validator("vector_index")
+ @field_validator("vector_index")
+ @classmethod
def validate_vector_index(cls, value: Any) -> Any:
"""Validate vector index."""
# NOTE: we can't import VectorStoreIndex directly due to circular imports,
@@ -135,7 +136,7 @@ class VectorMemory(BaseMemory):
# retrieve underlying messages
return [
- ChatMessage.parse_obj(sub_dict)
+ ChatMessage.model_validate(sub_dict)
for node in nodes
for sub_dict in node.metadata["sub_dicts"]
]
@@ -193,4 +194,4 @@ class VectorMemory(BaseMemory):
self.vector_index.vector_store.clear()
-VectorMemory.update_forward_refs()
+VectorMemory.model_rebuild()
diff --git a/llama-index-core/llama_index/core/multi_modal_llms/base.py b/llama-index-core/llama_index/core/multi_modal_llms/base.py
index eed62f4c065406a7a409f78b6967ff1fc038bd0a..fe0b61f5f2be848789b618243b663a5d31652daa 100644
--- a/llama-index-core/llama_index/core/multi_modal_llms/base.py
+++ b/llama-index-core/llama_index/core/multi_modal_llms/base.py
@@ -17,7 +17,11 @@ from llama_index.core.base.query_pipeline.query import (
QueryComponent,
validate_and_convert_stringable,
)
-from llama_index.core.bridge.pydantic import BaseModel, Field, validator
+from llama_index.core.bridge.pydantic import (
+ BaseModel,
+ Field,
+ ConfigDict,
+)
from llama_index.core.callbacks import CallbackManager
from llama_index.core.constants import (
DEFAULT_CONTEXT_WINDOW,
@@ -30,6 +34,7 @@ from llama_index.core.schema import BaseComponent, ImageDocument
class MultiModalLLMMetadata(BaseModel):
+ model_config = ConfigDict(protected_namespaces=("pydantic_model_",))
context_window: Optional[int] = Field(
default=DEFAULT_CONTEXT_WINDOW,
description=(
@@ -76,19 +81,11 @@ class MultiModalLLMMetadata(BaseModel):
class MultiModalLLM(ChainableMixin, BaseComponent, DispatcherSpanMixin):
"""Multi-Modal LLM interface."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
callback_manager: CallbackManager = Field(
default_factory=CallbackManager, exclude=True
)
- class Config:
- arbitrary_types_allowed = True
-
- @validator("callback_manager", pre=True)
- def _validate_callback_manager(cls, v: CallbackManager) -> CallbackManager:
- if v is None:
- return CallbackManager([])
- return v
-
@property
@abstractmethod
def metadata(self) -> MultiModalLLMMetadata:
@@ -186,12 +183,10 @@ class MultiModalLLM(ChainableMixin, BaseComponent, DispatcherSpanMixin):
class BaseMultiModalComponent(QueryComponent):
"""Base LLM component."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
multi_modal_llm: MultiModalLLM = Field(..., description="LLM")
streaming: bool = Field(default=False, description="Streaming mode")
- class Config:
- arbitrary_types_allowed = True
-
def set_callback_manager(self, callback_manager: Any) -> None:
"""Set callback manager."""
# TODO: make callbacks work with multi-modal
diff --git a/llama-index-core/llama_index/core/node_parser/interface.py b/llama-index-core/llama_index/core/node_parser/interface.py
index f3bd38ac9a51f86daf1284dfb568ee8de88d893a..2d3fedf98c8fe0d9b89eb2c62b377a85900bb5e0 100644
--- a/llama-index-core/llama_index/core/node_parser/interface.py
+++ b/llama-index-core/llama_index/core/node_parser/interface.py
@@ -1,9 +1,16 @@
"""Node parser interface."""
from abc import ABC, abstractmethod
-from typing import Any, Callable, Dict, List, Sequence
-
-from llama_index.core.bridge.pydantic import Field, validator
+from typing import Any, Callable, Dict, List, Sequence, Optional
+from typing_extensions import Annotated
+
+from llama_index.core.bridge.pydantic import (
+ Field,
+ WithJsonSchema,
+ BeforeValidator,
+ ConfigDict,
+ PlainSerializer,
+)
from llama_index.core.callbacks import CallbackManager, CBEventType, EventPayload
from llama_index.core.node_parser.node_utils import (
build_nodes_from_splits,
@@ -19,9 +26,30 @@ from llama_index.core.schema import (
from llama_index.core.utils import get_tqdm_iterable
+def _validate_id_func(v: Any) -> Any:
+ if v is None:
+ return default_id_func
+ return v
+
+
+def _serialize_id_func(f: Callable) -> Any:
+ return {"id_func_name": f"{f.__name__}", "title": "id_func"}
+
+
+IdFuncCallable = Annotated[
+ Callable,
+ Field(validate_default=True),
+ BeforeValidator(_validate_id_func),
+ WithJsonSchema({"type": "string"}, mode="serialization"),
+ WithJsonSchema({"type": "string"}, mode="validation"),
+ PlainSerializer(_serialize_id_func),
+]
+
+
class NodeParser(TransformComponent, ABC):
"""Base interface for node parser."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
include_metadata: bool = Field(
default=True, description="Whether or not to consider metadata when splitting."
)
@@ -29,23 +57,13 @@ class NodeParser(TransformComponent, ABC):
default=True, description="Include prev/next node relationships."
)
callback_manager: CallbackManager = Field(
- default_factory=CallbackManager, exclude=True
+ default_factory=lambda: CallbackManager([]), exclude=True
)
- id_func: Callable = Field(
+ id_func: Optional[IdFuncCallable] = Field(
default=None,
description="Function to generate node IDs.",
- exclude=True,
)
- class Config:
- arbitrary_types_allowed = True
-
- @validator("id_func", pre=True)
- def _validate_id_func(cls, v: Any) -> Any:
- if v is None:
- return default_id_func
- return v
-
@abstractmethod
def _parse_nodes(
self,
diff --git a/llama-index-core/llama_index/core/node_parser/relational/base_element.py b/llama-index-core/llama_index/core/node_parser/relational/base_element.py
index 6b928cd5c15b40df41150296c5bd264cbf3d5701..bba0e38351d95d23be3ec7274fb6f60077e25c89 100644
--- a/llama-index-core/llama_index/core/node_parser/relational/base_element.py
+++ b/llama-index-core/llama_index/core/node_parser/relational/base_element.py
@@ -1,13 +1,16 @@
import uuid
from abc import abstractmethod
from typing import Any, Dict, List, Optional, Sequence, Tuple, cast
-
-import pandas as pd
from tqdm import tqdm
from llama_index.core.async_utils import DEFAULT_NUM_WORKERS, run_jobs, asyncio_run
from llama_index.core.base.response.schema import PydanticResponse
-from llama_index.core.bridge.pydantic import BaseModel, Field, ValidationError
+from llama_index.core.bridge.pydantic import (
+ BaseModel,
+ Field,
+ ValidationError,
+ ConfigDict,
+)
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.llms.llm import LLM
from llama_index.core.node_parser.interface import NodeParser
@@ -48,18 +51,16 @@ class TableOutput(BaseModel):
class Element(BaseModel):
"""Element object."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
id: str
type: str
element: Any
title_level: Optional[int] = None
table_output: Optional[TableOutput] = None
- table: Optional[pd.DataFrame] = None
+ table: Optional[Any] = None
markdown: Optional[str] = None
page_number: Optional[int] = None
- class Config:
- arbitrary_types_allowed = True
-
class BaseElementNodeParser(NodeParser):
"""
@@ -69,7 +70,7 @@ class BaseElementNodeParser(NodeParser):
"""
callback_manager: CallbackManager = Field(
- default_factory=CallbackManager, exclude=True
+ default_factory=lambda: CallbackManager([]), exclude=True
)
llm: Optional[LLM] = Field(
default=None, description="LLM model to use for summarization."
@@ -313,6 +314,13 @@ class BaseElementNodeParser(NodeParser):
ref_doc_text: Optional[str] = None,
) -> List[BaseNode]:
"""Get nodes and mappings."""
+ try:
+ import pandas as pd
+ except ImportError:
+ raise ImportError(
+ "pandas is required for this function. Please install it with `pip install pandas`."
+ )
+
from llama_index.core.node_parser import SentenceSplitter
node_parser = self.nested_node_parser or SentenceSplitter()
diff --git a/llama-index-core/llama_index/core/node_parser/relational/utils.py b/llama-index-core/llama_index/core/node_parser/relational/utils.py
index 29f53a854a858b79cc5edbdd13899397fc15d727..19c7a37321eda657ebe378500b5b6753813bde78 100644
--- a/llama-index-core/llama_index/core/node_parser/relational/utils.py
+++ b/llama-index-core/llama_index/core/node_parser/relational/utils.py
@@ -1,9 +1,17 @@
-import pandas as pd
+from typing import Any
+
from io import StringIO
-def md_to_df(md_str: str) -> pd.DataFrame:
+def md_to_df(md_str: str) -> Any:
"""Convert Markdown to dataframe."""
+ try:
+ import pandas as pd
+ except ImportError:
+ raise ImportError(
+ "You must install the `pandas` package to use this node parser."
+ )
+
# Replace " by "" in md_str
md_str = md_str.replace('"', '""')
@@ -26,7 +34,7 @@ def md_to_df(md_str: str) -> pd.DataFrame:
return pd.read_csv(StringIO(md_str))
-def html_to_df(html_str: str) -> pd.DataFrame:
+def html_to_df(html_str: str) -> Any:
"""Convert HTML to dataframe."""
try:
from lxml import html
@@ -35,6 +43,13 @@ def html_to_df(html_str: str) -> pd.DataFrame:
"You must install the `lxml` package to use this node parser."
)
+ try:
+ import pandas as pd
+ except ImportError:
+ raise ImportError(
+ "You must install the `pandas` package to use this node parser."
+ )
+
tree = html.fromstring(html_str)
table_element = tree.xpath("//table")[0]
rows = table_element.xpath(".//tr")
diff --git a/llama-index-core/llama_index/core/node_parser/text/code.py b/llama-index-core/llama_index/core/node_parser/text/code.py
index 30ede43971e27a3098abeb6cba500c4020331f75..ee2a9bac623a3c3a2b57dddaae71676929471fb4 100644
--- a/llama-index-core/llama_index/core/node_parser/text/code.py
+++ b/llama-index-core/llama_index/core/node_parser/text/code.py
@@ -56,6 +56,20 @@ class CodeSplitter(TextSplitter):
"""Initialize a CodeSplitter."""
from tree_sitter import Parser # pants: no-infer-dep
+ callback_manager = callback_manager or CallbackManager([])
+ id_func = id_func or default_id_func
+
+ super().__init__(
+ language=language,
+ chunk_lines=chunk_lines,
+ chunk_lines_overlap=chunk_lines_overlap,
+ max_chars=max_chars,
+ callback_manager=callback_manager,
+ include_metadata=include_metadata,
+ include_prev_next_rel=include_prev_next_rel,
+ id_func=id_func,
+ )
+
if parser is None:
try:
import tree_sitter_languages # pants: no-infer-dep
@@ -78,20 +92,6 @@ class CodeSplitter(TextSplitter):
self._parser = parser
- callback_manager = callback_manager or CallbackManager([])
- id_func = id_func or default_id_func
-
- super().__init__(
- language=language,
- chunk_lines=chunk_lines,
- chunk_lines_overlap=chunk_lines_overlap,
- max_chars=max_chars,
- callback_manager=callback_manager,
- include_metadata=include_metadata,
- include_prev_next_rel=include_prev_next_rel,
- id_func=id_func,
- )
-
@classmethod
def from_defaults(
cls,
diff --git a/llama-index-core/llama_index/core/node_parser/text/semantic_splitter.py b/llama-index-core/llama_index/core/node_parser/text/semantic_splitter.py
index 386b59e4b145ae4afd66073a092f6bc10248ae53..3445d29e2dc70552b7ef296c3ad64f9f4c13630c 100644
--- a/llama-index-core/llama_index/core/node_parser/text/semantic_splitter.py
+++ b/llama-index-core/llama_index/core/node_parser/text/semantic_splitter.py
@@ -1,8 +1,9 @@
from typing import Any, Callable, List, Optional, Sequence, TypedDict
+from typing_extensions import Annotated
import numpy as np
from llama_index.core.base.embeddings.base import BaseEmbedding
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, SerializeAsAny, WithJsonSchema
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.node_parser import NodeParser
from llama_index.core.node_parser.interface import NodeParser
@@ -24,6 +25,13 @@ class SentenceCombination(TypedDict):
combined_sentence_embedding: List[float]
+SentenceSplitterCallable = Annotated[
+ Callable[[str], List[str]],
+ WithJsonSchema({"type": "string"}, mode="serialization"),
+ WithJsonSchema({"type": "string"}, mode="validation"),
+]
+
+
class SemanticSplitterNodeParser(NodeParser):
"""Semantic node parser.
@@ -37,13 +45,13 @@ class SemanticSplitterNodeParser(NodeParser):
include_prev_next_rel (bool): whether to include prev/next relationships
"""
- sentence_splitter: Callable[[str], List[str]] = Field(
+ sentence_splitter: SentenceSplitterCallable = Field(
default_factory=split_by_sentence_tokenizer,
description="The text splitter to use when splitting documents.",
exclude=True,
)
- embed_model: BaseEmbedding = Field(
+ embed_model: SerializeAsAny[BaseEmbedding] = Field(
description="The embedding model to use to for semantic comparison",
)
diff --git a/llama-index-core/llama_index/core/node_parser/text/sentence.py b/llama-index-core/llama_index/core/node_parser/text/sentence.py
index 79c5dd5e025e1e01eccbabd517def1f962d7ccdb..45d1cc3c857380e22a3bd5efae94f9bd3821a4a5 100644
--- a/llama-index-core/llama_index/core/node_parser/text/sentence.py
+++ b/llama-index-core/llama_index/core/node_parser/text/sentence.py
@@ -1,4 +1,5 @@
"""Sentence splitter."""
+
from dataclasses import dataclass
from typing import Callable, List, Optional, Tuple
@@ -6,7 +7,9 @@ from llama_index.core.bridge.pydantic import Field, PrivateAttr
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.constants import DEFAULT_CHUNK_SIZE
-from llama_index.core.node_parser.interface import MetadataAwareTextSplitter
+from llama_index.core.node_parser.interface import (
+ MetadataAwareTextSplitter,
+)
from llama_index.core.node_parser.node_utils import default_id_func
from llama_index.core.node_parser.text.utils import (
split_by_char,
@@ -14,7 +17,6 @@ from llama_index.core.node_parser.text.utils import (
split_by_sentence_tokenizer,
split_by_sep,
)
-from llama_index.core.schema import Document
from llama_index.core.utils import get_tokenizer
SENTENCE_CHUNK_OVERLAP = 200
@@ -45,7 +47,7 @@ class SentenceSplitter(MetadataAwareTextSplitter):
chunk_overlap: int = Field(
default=SENTENCE_CHUNK_OVERLAP,
description="The token overlap of each chunk when splitting.",
- gte=0,
+ ge=0,
)
separator: str = Field(
default=" ", description="Default separator for splitting into words"
@@ -74,7 +76,7 @@ class SentenceSplitter(MetadataAwareTextSplitter):
callback_manager: Optional[CallbackManager] = None,
include_metadata: bool = True,
include_prev_next_rel: bool = True,
- id_func: Optional[Callable[[int, Document], str]] = None,
+ id_func: Optional[Callable] = None,
):
"""Initialize with parameters."""
if chunk_overlap > chunk_size:
@@ -83,8 +85,18 @@ class SentenceSplitter(MetadataAwareTextSplitter):
f"({chunk_size}), should be smaller."
)
id_func = id_func or default_id_func
-
callback_manager = callback_manager or CallbackManager([])
+ super().__init__(
+ chunk_size=chunk_size,
+ chunk_overlap=chunk_overlap,
+ secondary_chunking_regex=secondary_chunking_regex,
+ separator=separator,
+ paragraph_separator=paragraph_separator,
+ callback_manager=callback_manager,
+ include_metadata=include_metadata,
+ include_prev_next_rel=include_prev_next_rel,
+ id_func=id_func,
+ )
self._chunking_tokenizer_fn = (
chunking_tokenizer_fn or split_by_sentence_tokenizer()
)
@@ -101,18 +113,6 @@ class SentenceSplitter(MetadataAwareTextSplitter):
split_by_char(),
]
- super().__init__(
- chunk_size=chunk_size,
- chunk_overlap=chunk_overlap,
- secondary_chunking_regex=secondary_chunking_regex,
- separator=separator,
- paragraph_separator=paragraph_separator,
- callback_manager=callback_manager,
- include_metadata=include_metadata,
- include_prev_next_rel=include_prev_next_rel,
- id_func=id_func,
- )
-
@classmethod
def from_defaults(
cls,
diff --git a/llama-index-core/llama_index/core/node_parser/text/token.py b/llama-index-core/llama_index/core/node_parser/text/token.py
index a354b5f8a093bc021864628619895ea42af1b42f..48a2930269c771500bf07da551e2bdf43c94d80d 100644
--- a/llama-index-core/llama_index/core/node_parser/text/token.py
+++ b/llama-index-core/llama_index/core/node_parser/text/token.py
@@ -1,4 +1,5 @@
"""Token splitter."""
+
import logging
from typing import Callable, List, Optional
@@ -29,7 +30,7 @@ class TokenTextSplitter(MetadataAwareTextSplitter):
chunk_overlap: int = Field(
default=DEFAULT_CHUNK_OVERLAP,
description="The token overlap of each chunk when splitting.",
- gte=0,
+ ge=0,
)
separator: str = Field(
default=" ", description="Default separator for splitting into words"
@@ -61,11 +62,6 @@ class TokenTextSplitter(MetadataAwareTextSplitter):
)
callback_manager = callback_manager or CallbackManager([])
id_func = id_func or default_id_func
- self._tokenizer = tokenizer or get_tokenizer()
-
- all_seps = [separator] + (backup_separators or [])
- self._split_fns = [split_by_sep(sep) for sep in all_seps] + [split_by_char()]
-
super().__init__(
chunk_size=chunk_size,
chunk_overlap=chunk_overlap,
@@ -76,6 +72,9 @@ class TokenTextSplitter(MetadataAwareTextSplitter):
include_prev_next_rel=include_prev_next_rel,
id_func=id_func,
)
+ self._tokenizer = tokenizer or get_tokenizer()
+ all_seps = [separator] + (backup_separators or [])
+ self._split_fns = [split_by_sep(sep) for sep in all_seps] + [split_by_char()]
@classmethod
def from_defaults(
diff --git a/llama-index-core/llama_index/core/objects/base.py b/llama-index-core/llama_index/core/objects/base.py
index 15f7067173c31bce49670d34bd82c18306dd41a7..24cbf1f86b791fe759bd45da60bb5002f0b7e281 100644
--- a/llama-index-core/llama_index/core/objects/base.py
+++ b/llama-index-core/llama_index/core/objects/base.py
@@ -12,7 +12,7 @@ from llama_index.core.base.query_pipeline.query import (
QueryComponent,
validate_and_convert_stringable,
)
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, ConfigDict
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.indices.base import BaseIndex
from llama_index.core.indices.vector_store.base import VectorStoreIndex
@@ -95,11 +95,9 @@ class ObjectRetriever(ChainableMixin, Generic[OT]):
class ObjectRetrieverComponent(QueryComponent):
"""Object retriever component."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
retriever: ObjectRetriever = Field(..., description="Retriever.")
- class Config:
- arbitrary_types_allowed = True
-
def set_callback_manager(self, callback_manager: CallbackManager) -> None:
"""Set callback manager."""
self.retriever.retriever.callback_manager = callback_manager
diff --git a/llama-index-core/llama_index/core/objects/tool_node_mapping.py b/llama-index-core/llama_index/core/objects/tool_node_mapping.py
index 3f41bc3b77a8d03277c30d1bfb4fb2e52b906b4c..6541562b96660e632ec6ecc43a4e2637a811697f 100644
--- a/llama-index-core/llama_index/core/objects/tool_node_mapping.py
+++ b/llama-index-core/llama_index/core/objects/tool_node_mapping.py
@@ -19,7 +19,7 @@ def convert_tool_to_node(tool: BaseTool) -> TextNode:
f"Tool description: {tool.metadata.description}\n"
)
if tool.metadata.fn_schema is not None:
- node_text += f"Tool schema: {tool.metadata.fn_schema.schema()}\n"
+ node_text += f"Tool schema: {tool.metadata.fn_schema.model_json_schema()}\n"
tool_identity = (
f"{tool.metadata.name}{tool.metadata.description}{tool.metadata.fn_schema}"
diff --git a/llama-index-core/llama_index/core/output_parsers/base.py b/llama-index-core/llama_index/core/output_parsers/base.py
index 3dff3d6cde91a26ce0bb2a19e68d2ff32ae60c46..d3aa87935a4ff12c81ffd7bdcbfa250b27e03900 100644
--- a/llama-index-core/llama_index/core/output_parsers/base.py
+++ b/llama-index-core/llama_index/core/output_parsers/base.py
@@ -10,7 +10,7 @@ from llama_index.core.base.query_pipeline.query import (
QueryComponent,
validate_and_convert_stringable,
)
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, ConfigDict
from llama_index.core.types import BaseOutputParser
@@ -39,11 +39,9 @@ class ChainableOutputParser(BaseOutputParser, ChainableMixin):
class OutputParserComponent(QueryComponent):
"""Output parser component."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
output_parser: BaseOutputParser = Field(..., description="Output parser.")
- class Config:
- arbitrary_types_allowed = True
-
def _run_component(self, **kwargs: Any) -> Dict[str, Any]:
"""Run component."""
output = self.output_parser.parse(kwargs["input"])
diff --git a/llama-index-core/llama_index/core/output_parsers/pydantic.py b/llama-index-core/llama_index/core/output_parsers/pydantic.py
index 9b53275af21aad3f89591d12f36ec6ff1cbbd1aa..7487352e03d4b5f076358ebd79d607858fe6ef87 100644
--- a/llama-index-core/llama_index/core/output_parsers/pydantic.py
+++ b/llama-index-core/llama_index/core/output_parsers/pydantic.py
@@ -45,7 +45,7 @@ class PydanticOutputParser(ChainableOutputParser):
def get_format_string(self, escape_json: bool = True) -> str:
"""Format string."""
- schema_dict = self._output_cls.schema()
+ schema_dict = self._output_cls.model_json_schema()
for key in self._excluded_schema_keys_from_format:
del schema_dict[key]
@@ -59,7 +59,7 @@ class PydanticOutputParser(ChainableOutputParser):
def parse(self, text: str) -> Any:
"""Parse, validate, and correct errors programmatically."""
json_str = extract_json_str(text)
- return self._output_cls.parse_raw(json_str)
+ return self._output_cls.model_validate_json(json_str)
def format(self, query: str) -> str:
"""Format a query with structured output formatting instructions."""
diff --git a/llama-index-core/llama_index/core/playground/base.py b/llama-index-core/llama_index/core/playground/base.py
index 496ab8e642998cde1081ade4e35dce696d203601..6c072f300c1599d85ed1f57abdf94a6c7fab2a8d 100644
--- a/llama-index-core/llama_index/core/playground/base.py
+++ b/llama-index-core/llama_index/core/playground/base.py
@@ -1,10 +1,10 @@
"""Experiment with different indices, models, and more."""
+
from __future__ import annotations
import time
from typing import Any, Dict, List, Type
-import pandas as pd
from llama_index.core.callbacks import CallbackManager, TokenCountingHandler
from llama_index.core.indices.base import BaseIndex
from llama_index.core.indices.list.base import ListRetrieverMode, SummaryIndex
@@ -120,7 +120,7 @@ class Playground:
def compare(
self, query_text: str, to_pandas: bool | None = True
- ) -> pd.DataFrame | List[Dict[str, Any]]:
+ ) -> Any | List[Dict[str, Any]]:
"""Compare index outputs on an input query.
Args:
@@ -145,17 +145,11 @@ class Playground:
)
# insert token counter into service context
- service_context = index.service_context
token_counter = TokenCountingHandler()
callback_manager = CallbackManager([token_counter])
- if service_context is not None:
- service_context.llm.callback_manager = callback_manager
- service_context.embed_model.callback_manager = callback_manager
try:
- query_engine = index.as_query_engine(
- retriever_mode=retriever_mode, service_context=service_context
- )
+ query_engine = index.as_query_engine(retriever_mode=retriever_mode)
except ValueError:
continue
@@ -178,6 +172,13 @@ class Playground:
print(f"\nRan {len(result)} combinations in total.")
if to_pandas:
+ try:
+ import pandas as pd
+ except ImportError:
+ raise ImportError(
+ "pandas is required for this function. Please install it with `pip install pandas`."
+ )
+
return pd.DataFrame(result)
else:
return result
diff --git a/llama-index-core/llama_index/core/postprocessor/llm_rerank.py b/llama-index-core/llama_index/core/postprocessor/llm_rerank.py
index 265b5d76bf9a97d3ea35320fd87ef41e54353d79..52412aa8088cd258d70a64ca9fd035f0f9ed32ee 100644
--- a/llama-index-core/llama_index/core/postprocessor/llm_rerank.py
+++ b/llama-index-core/llama_index/core/postprocessor/llm_rerank.py
@@ -1,7 +1,8 @@
"""LLM reranker."""
+
from typing import Callable, List, Optional
-from llama_index.core.bridge.pydantic import Field, PrivateAttr
+from llama_index.core.bridge.pydantic import Field, PrivateAttr, SerializeAsAny
from llama_index.core.indices.utils import (
default_format_node_batch_fn,
default_parse_choice_select_answer_fn,
@@ -12,15 +13,14 @@ from llama_index.core.prompts import BasePromptTemplate
from llama_index.core.prompts.default_prompts import DEFAULT_CHOICE_SELECT_PROMPT
from llama_index.core.prompts.mixin import PromptDictType
from llama_index.core.schema import NodeWithScore, QueryBundle
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+from llama_index.core.settings import Settings
class LLMRerank(BaseNodePostprocessor):
"""LLM-based reranker."""
top_n: int = Field(description="Top N nodes to return.")
- choice_select_prompt: BasePromptTemplate = Field(
+ choice_select_prompt: SerializeAsAny[BasePromptTemplate] = Field(
description="Choice select prompt."
)
choice_batch_size: int = Field(description="Batch size for choice select.")
@@ -36,27 +36,24 @@ class LLMRerank(BaseNodePostprocessor):
choice_batch_size: int = 10,
format_node_batch_fn: Optional[Callable] = None,
parse_choice_select_answer_fn: Optional[Callable] = None,
- service_context: Optional[ServiceContext] = None,
top_n: int = 10,
) -> None:
choice_select_prompt = choice_select_prompt or DEFAULT_CHOICE_SELECT_PROMPT
- llm = llm or llm_from_settings_or_context(Settings, service_context)
-
- self._format_node_batch_fn = (
- format_node_batch_fn or default_format_node_batch_fn
- )
- self._parse_choice_select_answer_fn = (
- parse_choice_select_answer_fn or default_parse_choice_select_answer_fn
- )
+ llm = llm or Settings.llm
super().__init__(
llm=llm,
choice_select_prompt=choice_select_prompt,
choice_batch_size=choice_batch_size,
- service_context=service_context,
top_n=top_n,
)
+ self._format_node_batch_fn = (
+ format_node_batch_fn or default_format_node_batch_fn
+ )
+ self._parse_choice_select_answer_fn = (
+ parse_choice_select_answer_fn or default_parse_choice_select_answer_fn
+ )
def _get_prompts(self) -> PromptDictType:
"""Get prompts."""
diff --git a/llama-index-core/llama_index/core/postprocessor/node.py b/llama-index-core/llama_index/core/postprocessor/node.py
index 017ef18eaa5c448e64724660b12333620432ba16..41397ba7430660732a489050ed1a58f0a54347e4 100644
--- a/llama-index-core/llama_index/core/postprocessor/node.py
+++ b/llama-index-core/llama_index/core/postprocessor/node.py
@@ -3,7 +3,12 @@
import logging
from typing import Dict, List, Optional, cast
-from llama_index.core.bridge.pydantic import Field, validator
+from llama_index.core.bridge.pydantic import (
+ Field,
+ field_validator,
+ SerializeAsAny,
+ ConfigDict,
+)
from llama_index.core.llms import LLM
from llama_index.core.postprocessor.types import BaseNodePostprocessor
from llama_index.core.prompts.base import PromptTemplate
@@ -12,8 +17,7 @@ from llama_index.core.response_synthesizers import (
get_response_synthesizer,
)
from llama_index.core.schema import NodeRelationship, NodeWithScore, QueryBundle
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+from llama_index.core.settings import Settings
from llama_index.core.storage.docstore import BaseDocumentStore
logger = logging.getLogger(__name__)
@@ -162,7 +166,8 @@ class PrevNextNodePostprocessor(BaseNodePostprocessor):
num_nodes: int = Field(default=1)
mode: str = Field(default="next")
- @validator("mode")
+ @field_validator("mode")
+ @classmethod
def _validate_mode(cls, v: str) -> str:
"""Validate mode."""
if v not in ["next", "previous", "both"]:
@@ -279,20 +284,15 @@ class AutoPrevNextNodePostprocessor(BaseNodePostprocessor):
"""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
docstore: BaseDocumentStore
- service_context: Optional[ServiceContext] = None
- llm: Optional[LLM] = None
+ llm: Optional[SerializeAsAny[LLM]] = None
num_nodes: int = Field(default=1)
infer_prev_next_tmpl: str = Field(default=DEFAULT_INFER_PREV_NEXT_TMPL)
refine_prev_next_tmpl: str = Field(default=DEFAULT_REFINE_INFER_PREV_NEXT_TMPL)
verbose: bool = Field(default=False)
response_mode: ResponseMode = Field(default=ResponseMode.COMPACT)
- class Config:
- """Configuration for this pydantic object."""
-
- arbitrary_types_allowed = True
-
@classmethod
def class_name(cls) -> str:
return "AutoPrevNextNodePostprocessor"
@@ -314,7 +314,7 @@ class AutoPrevNextNodePostprocessor(BaseNodePostprocessor):
query_bundle: Optional[QueryBundle] = None,
) -> List[NodeWithScore]:
"""Postprocess nodes."""
- llm = self.llm or llm_from_settings_or_context(Settings, self.service_context)
+ llm = self.llm or Settings.llm
if query_bundle is None:
raise ValueError("Missing query bundle.")
diff --git a/llama-index-core/llama_index/core/postprocessor/node_recency.py b/llama-index-core/llama_index/core/postprocessor/node_recency.py
index 2dadaf2ef785693c15a38910e17f0e3bba557430..29556a5ec7cdbb913f4aa58c26b2a9384a69ec2b 100644
--- a/llama-index-core/llama_index/core/postprocessor/node_recency.py
+++ b/llama-index-core/llama_index/core/postprocessor/node_recency.py
@@ -1,9 +1,9 @@
"""Node recency post-processor."""
+
from datetime import datetime
from typing import List, Optional, Set
import numpy as np
-import pandas as pd
# NOTE: currently not being used
# DEFAULT_INFER_RECENCY_TMPL = (
@@ -31,7 +31,7 @@ import pandas as pd
# else:
# raise ValueError(f"Invalid recency prediction: {pred}.")
from llama_index.core.base.embeddings.base import BaseEmbedding
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, SerializeAsAny
from llama_index.core.postprocessor.types import BaseNodePostprocessor
from llama_index.core.schema import MetadataMode, NodeWithScore, QueryBundle
from llama_index.core.settings import Settings
@@ -58,6 +58,13 @@ class FixedRecencyPostprocessor(BaseNodePostprocessor):
query_bundle: Optional[QueryBundle] = None,
) -> List[NodeWithScore]:
"""Postprocess nodes."""
+ try:
+ import pandas as pd
+ except ImportError:
+ raise ImportError(
+ "pandas is required for this function. Please install it with `pip install pandas`."
+ )
+
if query_bundle is None:
raise ValueError("Missing query bundle in extra info.")
@@ -86,7 +93,9 @@ DEFAULT_QUERY_EMBEDDING_TMPL = (
class EmbeddingRecencyPostprocessor(BaseNodePostprocessor):
"""Embedding Recency post-processor."""
- embed_model: BaseEmbedding = Field(default_factory=lambda: Settings.embed_model)
+ embed_model: SerializeAsAny[BaseEmbedding] = Field(
+ default_factory=lambda: Settings.embed_model
+ )
date_key: str = "date"
similarity_cutoff: float = Field(default=0.7)
query_embedding_tmpl: str = Field(default=DEFAULT_QUERY_EMBEDDING_TMPL)
@@ -101,6 +110,13 @@ class EmbeddingRecencyPostprocessor(BaseNodePostprocessor):
query_bundle: Optional[QueryBundle] = None,
) -> List[NodeWithScore]:
"""Postprocess nodes."""
+ try:
+ import pandas as pd
+ except ImportError:
+ raise ImportError(
+ "pandas is required for this function. Please install it with `pip install pandas`."
+ )
+
if query_bundle is None:
raise ValueError("Missing query bundle in extra info.")
diff --git a/llama-index-core/llama_index/core/postprocessor/optimizer.py b/llama-index-core/llama_index/core/postprocessor/optimizer.py
index 6b70c104f9cd316933f9b0cb6467842c9500ff52..d0d8913255941cdb8e42dee188ed696ee67586a4 100644
--- a/llama-index-core/llama_index/core/postprocessor/optimizer.py
+++ b/llama-index-core/llama_index/core/postprocessor/optimizer.py
@@ -64,6 +64,12 @@ class SentenceEmbeddingOptimizer(BaseNodePostprocessor):
)
response = query_engine.query("<query_str>")
"""
+ super().__init__(
+ percentile_cutoff=percentile_cutoff,
+ threshold_cutoff=threshold_cutoff,
+ context_after=context_after,
+ context_before=context_before,
+ )
self._embed_model = embed_model or Settings.embed_model
if self._embed_model is None:
try:
@@ -85,13 +91,6 @@ class SentenceEmbeddingOptimizer(BaseNodePostprocessor):
tokenizer_fn = tokenizer.tokenize
self._tokenizer_fn = tokenizer_fn
- super().__init__(
- percentile_cutoff=percentile_cutoff,
- threshold_cutoff=threshold_cutoff,
- context_after=context_after,
- context_before=context_before,
- )
-
@classmethod
def class_name(cls) -> str:
return "SentenceEmbeddingOptimizer"
diff --git a/llama-index-core/llama_index/core/postprocessor/rankGPT_rerank.py b/llama-index-core/llama_index/core/postprocessor/rankGPT_rerank.py
index 4295c460ade51ff7597d7a91c93a33365fe14a6d..5c2ff3a973b2b94fc2ebae63c4dbf5754f524bdc 100644
--- a/llama-index-core/llama_index/core/postprocessor/rankGPT_rerank.py
+++ b/llama-index-core/llama_index/core/postprocessor/rankGPT_rerank.py
@@ -1,7 +1,7 @@
import logging
from typing import Any, Dict, List, Optional, Sequence
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, SerializeAsAny
from llama_index.core.llms import LLM, ChatMessage, ChatResponse
from llama_index.core.postprocessor.types import BaseNodePostprocessor
from llama_index.core.prompts import BasePromptTemplate
@@ -31,7 +31,7 @@ class RankGPTRerank(BaseNodePostprocessor):
verbose: bool = Field(
default=False, description="Whether to print intermediate steps."
)
- rankgpt_rerank_prompt: BasePromptTemplate = Field(
+ rankgpt_rerank_prompt: SerializeAsAny[BasePromptTemplate] = Field(
description="rankGPT rerank prompt."
)
diff --git a/llama-index-core/llama_index/core/postprocessor/sbert_rerank.py b/llama-index-core/llama_index/core/postprocessor/sbert_rerank.py
index a3756842ba6cf804147e702ba7c8a18ee5f4be5f..f4dfd4173a8fcaa39264ce11e6711673a8ea6932 100644
--- a/llama-index-core/llama_index/core/postprocessor/sbert_rerank.py
+++ b/llama-index-core/llama_index/core/postprocessor/sbert_rerank.py
@@ -37,15 +37,15 @@ class SentenceTransformerRerank(BaseNodePostprocessor):
"please `pip install torch sentence-transformers`",
)
device = infer_torch_device() if device is None else device
- self._model = CrossEncoder(
- model, max_length=DEFAULT_SENTENCE_TRANSFORMER_MAX_LENGTH, device=device
- )
super().__init__(
top_n=top_n,
model=model,
device=device,
keep_retrieval_score=keep_retrieval_score,
)
+ self._model = CrossEncoder(
+ model, max_length=DEFAULT_SENTENCE_TRANSFORMER_MAX_LENGTH, device=device
+ )
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-core/llama_index/core/postprocessor/types.py b/llama-index-core/llama_index/core/postprocessor/types.py
index d18689f9ced71df21a7c42997b6cbf7b8c0b695d..abf028940929afd72b81855914531602a0736ef9 100644
--- a/llama-index-core/llama_index/core/postprocessor/types.py
+++ b/llama-index-core/llama_index/core/postprocessor/types.py
@@ -8,7 +8,7 @@ from llama_index.core.base.query_pipeline.query import (
QueryComponent,
validate_and_convert_stringable,
)
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, SerializeAsAny, ConfigDict
from llama_index.core.callbacks import CallbackManager
from llama_index.core.instrumentation import DispatcherSpanMixin
from llama_index.core.prompts.mixin import PromptDictType, PromptMixinType
@@ -16,13 +16,11 @@ from llama_index.core.schema import BaseComponent, NodeWithScore, QueryBundle
class BaseNodePostprocessor(ChainableMixin, BaseComponent, DispatcherSpanMixin, ABC):
+ model_config = ConfigDict(arbitrary_types_allowed=True)
callback_manager: CallbackManager = Field(
default_factory=CallbackManager, exclude=True
)
- class Config:
- arbitrary_types_allowed = True
-
def _get_prompts(self) -> PromptDictType:
"""Get prompts."""
# set by default since most postprocessors don't require prompts
@@ -71,10 +69,10 @@ class BaseNodePostprocessor(ChainableMixin, BaseComponent, DispatcherSpanMixin,
class PostprocessorComponent(QueryComponent):
"""Postprocessor component."""
- postprocessor: BaseNodePostprocessor = Field(..., description="Postprocessor")
-
- class Config:
- arbitrary_types_allowed = True
+ model_config = ConfigDict(arbitrary_types_allowed=True)
+ postprocessor: SerializeAsAny[BaseNodePostprocessor] = Field(
+ ..., description="Postprocessor"
+ )
def set_callback_manager(self, callback_manager: CallbackManager) -> None:
"""Set callback manager."""
diff --git a/llama-index-core/llama_index/core/program/function_program.py b/llama-index-core/llama_index/core/program/function_program.py
index df6964a83dcfd77cbbc03f1ba5004c17958b2984..80af54b07687a575839c9591b217cb8ffe133039 100644
--- a/llama-index-core/llama_index/core/program/function_program.py
+++ b/llama-index-core/llama_index/core/program/function_program.py
@@ -17,6 +17,7 @@ from llama_index.core.bridge.pydantic import (
BaseModel,
create_model,
ValidationError,
+ ConfigDict,
)
from llama_index.core.llms.llm import LLM
from llama_index.core.base.llms.types import ChatResponse
@@ -50,7 +51,7 @@ def _parse_tool_outputs(
def _get_function_tool(output_cls: Type[Model]) -> FunctionTool:
"""Get function tool."""
- schema = output_cls.schema()
+ schema = output_cls.model_json_schema()
schema_description = schema.get("description", None)
# NOTE: this does not specify the schema in the function signature,
@@ -68,8 +69,7 @@ def _get_function_tool(output_cls: Type[Model]) -> FunctionTool:
class FlexibleModel(BaseModel):
- class Config:
- extra = "allow"
+ model_config = ConfigDict(extra="allow")
def create_flexible_model(model: Type[BaseModel]) -> Type[FlexibleModel]:
@@ -246,7 +246,9 @@ class FunctionCallingProgram(BasePydanticProgram[BaseModel]):
return output_cls()
tool_fn_args = [call.tool_kwargs for call in tool_calls]
- objects = [output_cls.parse_obj(tool_fn_arg) for tool_fn_arg in tool_fn_args]
+ objects = [
+ output_cls.model_validate(tool_fn_arg) for tool_fn_arg in tool_fn_args
+ ]
if cur_objects is None or num_valid_fields(objects) > num_valid_fields(
cur_objects
@@ -258,7 +260,7 @@ class FunctionCallingProgram(BasePydanticProgram[BaseModel]):
new_cur_objects = []
for obj in cur_objects:
try:
- new_obj = self._output_cls.parse_obj(obj.dict())
+ new_obj = self._output_cls.model_validate(obj.model_dump())
except ValidationError as e:
_logger.warning(f"Failed to parse object: {e}")
new_obj = obj
diff --git a/llama-index-core/llama_index/core/prompts/base.py b/llama-index-core/llama_index/core/prompts/base.py
index 8d3a7a6181d3ee3a1bfc811496d914e492412e05..b615585b7fb9c6e1459bb5930d78f56c3bbeb0c0 100644
--- a/llama-index-core/llama_index/core/prompts/base.py
+++ b/llama-index-core/llama_index/core/prompts/base.py
@@ -13,8 +13,14 @@ from typing import (
Tuple,
Union,
)
+from typing_extensions import Annotated
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import (
+ Field,
+ WithJsonSchema,
+ PlainSerializer,
+ SerializeAsAny,
+)
if TYPE_CHECKING:
from llama_index.core.bridge.langchain import (
@@ -33,7 +39,7 @@ from llama_index.core.base.query_pipeline.query import (
QueryComponent,
validate_and_convert_stringable,
)
-from llama_index.core.bridge.pydantic import BaseModel
+from llama_index.core.bridge.pydantic import BaseModel, ConfigDict
from llama_index.core.base.llms.base import BaseLLM
from llama_index.core.base.llms.generic_utils import (
messages_to_prompt as default_messages_to_prompt,
@@ -46,7 +52,16 @@ from llama_index.core.prompts.utils import get_template_vars
from llama_index.core.types import BaseOutputParser
+AnnotatedCallable = Annotated[
+ Callable,
+ WithJsonSchema({"type": "string"}),
+ WithJsonSchema({"type": "string"}),
+ PlainSerializer(lambda x: f"{x.__module__}.{x.__name__}", return_type=str),
+]
+
+
class BasePromptTemplate(ChainableMixin, BaseModel, ABC):
+ model_config = ConfigDict(arbitrary_types_allowed=True)
metadata: Dict[str, Any]
template_vars: List[str]
kwargs: Dict[str, str]
@@ -54,7 +69,7 @@ class BasePromptTemplate(ChainableMixin, BaseModel, ABC):
template_var_mappings: Optional[Dict[str, Any]] = Field(
default_factory=dict, description="Template variable mappings (Optional)."
)
- function_mappings: Optional[Dict[str, Callable]] = Field(
+ function_mappings: Optional[Dict[str, AnnotatedCallable]] = Field(
default_factory=dict,
description=(
"Function mappings (Optional). This is a mapping from template "
@@ -106,9 +121,6 @@ class BasePromptTemplate(ChainableMixin, BaseModel, ABC):
# map template vars (to point to existing format vars in string template)
return self._map_template_vars(new_kwargs)
- class Config:
- arbitrary_types_allowed = True
-
@abstractmethod
def partial_format(self, **kwargs: Any) -> "BasePromptTemplate":
...
@@ -301,7 +313,7 @@ class ChatPromptTemplate(BasePromptTemplate):
# if there's mappings specified, make sure those are used
content = content_template.format(**relevant_kwargs)
- message: ChatMessage = message_template.copy()
+ message: ChatMessage = message_template.model_copy()
message.content = content
messages.append(message)
@@ -321,7 +333,7 @@ class ChatPromptTemplate(BasePromptTemplate):
class SelectorPromptTemplate(BasePromptTemplate):
- default_template: BasePromptTemplate
+ default_template: SerializeAsAny[BasePromptTemplate]
conditionals: Optional[
List[Tuple[Callable[[BaseLLM], bool], BasePromptTemplate]]
] = None
@@ -541,8 +553,9 @@ Prompt = PromptTemplate
class PromptComponent(QueryComponent):
"""Prompt component."""
- prompt: BasePromptTemplate = Field(..., description="Prompt")
- llm: Optional[BaseLLM] = Field(
+ model_config = ConfigDict(arbitrary_types_allowed=True)
+ prompt: SerializeAsAny[BasePromptTemplate] = Field(..., description="Prompt")
+ llm: Optional[SerializeAsAny[BaseLLM]] = Field(
default=None, description="LLM to use for formatting prompt."
)
format_messages: bool = Field(
@@ -550,9 +563,6 @@ class PromptComponent(QueryComponent):
description="Whether to format the prompt into a list of chat messages.",
)
- class Config:
- arbitrary_types_allowed = True
-
def set_callback_manager(self, callback_manager: Any) -> None:
"""Set callback manager."""
diff --git a/llama-index-core/llama_index/core/prompts/guidance_utils.py b/llama-index-core/llama_index/core/prompts/guidance_utils.py
index b62a61561f625879abc6229cfab16929429fe6a5..514874c7a048882131f6dac9807271d305bd4b7f 100644
--- a/llama-index-core/llama_index/core/prompts/guidance_utils.py
+++ b/llama-index-core/llama_index/core/prompts/guidance_utils.py
@@ -38,12 +38,16 @@ def wrap_json_markdown(text: str) -> str:
def pydantic_to_guidance_output_template(cls: Type[BaseModel]) -> str:
"""Convert a pydantic model to guidance output template."""
- return json_schema_to_guidance_output_template(cls.schema(), root=cls.schema())
+ return json_schema_to_guidance_output_template(
+ cls.model_json_schema(), root=cls.model_json_schema()
+ )
def pydantic_to_guidance_output_template_markdown(cls: Type[BaseModel]) -> str:
"""Convert a pydantic model to guidance output template wrapped in json markdown."""
- output = json_schema_to_guidance_output_template(cls.schema(), root=cls.schema())
+ output = json_schema_to_guidance_output_template(
+ cls.model_json_schema(), root=cls.model_json_schema()
+ )
return wrap_json_markdown(output)
@@ -68,7 +72,7 @@ def json_schema_to_guidance_output_template(
ref = schema["$ref"]
model = ref.split("/")[-1]
return json_schema_to_guidance_output_template(
- root["definitions"][model], key, indent, root
+ root["$defs"][model], key, indent, root
)
if schema["type"] == "object":
@@ -143,7 +147,7 @@ def parse_pydantic_from_guidance_program(
print("Raw output:")
print(output)
json_dict = parse_json_markdown(output)
- sub_questions = cls.parse_obj(json_dict)
+ sub_questions = cls.model_validate(json_dict)
except Exception as e:
raise OutputParserException(
"Failed to parse pydantic object from guidance program"
diff --git a/llama-index-core/llama_index/core/query_engine/citation_query_engine.py b/llama-index-core/llama_index/core/query_engine/citation_query_engine.py
index 51c7d28a24b5613160322f8621386fb37c753683..7611b6090f7c0781499e70bfbac25179ac6e006b 100644
--- a/llama-index-core/llama_index/core/query_engine/citation_query_engine.py
+++ b/llama-index-core/llama_index/core/query_engine/citation_query_engine.py
@@ -23,11 +23,7 @@ from llama_index.core.schema import (
QueryBundle,
TextNode,
)
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
CITATION_QA_TEMPLATE = PromptTemplate(
"Please provide an answer based solely on the provided sources. "
@@ -120,16 +116,11 @@ class CitationQueryEngine(BaseQueryEngine):
)
self._retriever = retriever
- service_context = retriever.get_service_context()
- callback_manager = (
- callback_manager
- or callback_manager_from_settings_or_context(Settings, service_context)
- )
- llm = llm or llm_from_settings_or_context(Settings, service_context)
+ callback_manager = callback_manager or Settings.callback_manager
+ llm = llm or Settings.llm
self._response_synthesizer = response_synthesizer or get_response_synthesizer(
llm=llm,
- service_context=service_context,
callback_manager=callback_manager,
)
self._node_postprocessors = node_postprocessors or []
@@ -177,7 +168,6 @@ class CitationQueryEngine(BaseQueryEngine):
citation_refine_template (BasePromptTemplate):
Template for citation refinement.
retriever (BaseRetriever): A retriever object.
- service_context (Optional[ServiceContext]): A ServiceContext object.
node_postprocessors (Optional[List[BaseNodePostprocessor]]): A list of
node postprocessors.
verbose (bool): Whether to print out debug info.
@@ -192,7 +182,6 @@ class CitationQueryEngine(BaseQueryEngine):
response_synthesizer = response_synthesizer or get_response_synthesizer(
llm=llm,
- service_context=index.service_context,
text_qa_template=citation_qa_template,
refine_template=citation_refine_template,
response_mode=response_mode,
@@ -204,9 +193,7 @@ class CitationQueryEngine(BaseQueryEngine):
retriever=retriever,
llm=llm,
response_synthesizer=response_synthesizer,
- callback_manager=callback_manager_from_settings_or_context(
- Settings, index.service_context
- ),
+ callback_manager=Settings.callback_manager,
citation_chunk_size=citation_chunk_size,
citation_chunk_overlap=citation_chunk_overlap,
text_splitter=text_splitter,
@@ -227,10 +214,10 @@ class CitationQueryEngine(BaseQueryEngine):
)
for text_chunk in text_chunks:
- text = f"Source {len(new_nodes)+1}:\n{text_chunk}\n"
+ text = f"Source {len(new_nodes) + 1}:\n{text_chunk}\n"
new_node = NodeWithScore(
- node=TextNode.parse_obj(node.node), score=node.score
+ node=TextNode.model_validate(node.node), score=node.score
)
new_node.node.text = text
new_nodes.append(new_node)
diff --git a/llama-index-core/llama_index/core/query_engine/custom.py b/llama-index-core/llama_index/core/query_engine/custom.py
index 4793da5956402c3f0d27cd314071f068fe9f08f4..2c8a2c6adc0d3112305381c8c88247f94a2b45eb 100644
--- a/llama-index-core/llama_index/core/query_engine/custom.py
+++ b/llama-index-core/llama_index/core/query_engine/custom.py
@@ -5,7 +5,7 @@ from typing import Union
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.response.schema import RESPONSE_TYPE, Response
-from llama_index.core.bridge.pydantic import BaseModel, Field
+from llama_index.core.bridge.pydantic import BaseModel, Field, ConfigDict
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.prompts.mixin import PromptMixinType
from llama_index.core.schema import QueryBundle, QueryType
@@ -24,6 +24,7 @@ class CustomQueryEngine(BaseModel, BaseQueryEngine):
"""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
callback_manager: CallbackManager = Field(
default_factory=lambda: CallbackManager([]), exclude=True
)
@@ -32,9 +33,6 @@ class CustomQueryEngine(BaseModel, BaseQueryEngine):
"""Get prompt sub-modules."""
return {}
- class Config:
- arbitrary_types_allowed = True
-
def query(self, str_or_query_bundle: QueryType) -> RESPONSE_TYPE:
with self.callback_manager.as_trace("query"):
# if query bundle, just run the query
diff --git a/llama-index-core/llama_index/core/query_engine/flare/answer_inserter.py b/llama-index-core/llama_index/core/query_engine/flare/answer_inserter.py
index 14f9cee4cb6dba816aa9e887170f548e43bfcfc7..f3a57914e10a55af0b8ad2f0607a46dd93dc7078 100644
--- a/llama-index-core/llama_index/core/query_engine/flare/answer_inserter.py
+++ b/llama-index-core/llama_index/core/query_engine/flare/answer_inserter.py
@@ -11,8 +11,7 @@ from llama_index.core.prompts.mixin import (
PromptMixinType,
)
from llama_index.core.query_engine.flare.schema import QueryTask
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+from llama_index.core.settings import Settings
class BaseLookaheadAnswerInserter(PromptMixin):
@@ -142,11 +141,10 @@ class LLMLookaheadAnswerInserter(BaseLookaheadAnswerInserter):
def __init__(
self,
llm: Optional[LLM] = None,
- service_context: Optional[ServiceContext] = None,
answer_insert_prompt: Optional[BasePromptTemplate] = None,
) -> None:
"""Init params."""
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._answer_insert_prompt = (
answer_insert_prompt or DEFAULT_ANSWER_INSERT_PROMPT
)
diff --git a/llama-index-core/llama_index/core/query_engine/flare/base.py b/llama-index-core/llama_index/core/query_engine/flare/base.py
index e7860e10722d0d7b9ec1a5551d19f594e9398287..2a63c4d597e710426e592c30851d24e4b5bfbe5c 100644
--- a/llama-index-core/llama_index/core/query_engine/flare/base.py
+++ b/llama-index-core/llama_index/core/query_engine/flare/base.py
@@ -23,8 +23,7 @@ from llama_index.core.query_engine.flare.output_parser import (
from llama_index.core.query_engine.retriever_query_engine import RetrieverQueryEngine
from llama_index.core.schema import QueryBundle, NodeWithScore
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+from llama_index.core.settings import Settings
from llama_index.core.utils import print_text
# These prompts are taken from the FLARE repo:
@@ -106,8 +105,6 @@ class FLAREInstructQueryEngine(BaseQueryEngine):
Args:
query_engine (BaseQueryEngine): query engine to use
llm (Optional[LLM]): LLM model. Defaults to None.
- service_context (Optional[ServiceContext]): service context.
- Defaults to None.
instruct_prompt (Optional[PromptTemplate]): instruct prompt. Defaults to None.
lookahead_answer_inserter (Optional[BaseLookaheadAnswerInserter]):
lookahead answer inserter. Defaults to None.
@@ -127,7 +124,6 @@ class FLAREInstructQueryEngine(BaseQueryEngine):
self,
query_engine: BaseQueryEngine,
llm: Optional[LLM] = None,
- service_context: Optional[ServiceContext] = None,
instruct_prompt: Optional[BasePromptTemplate] = None,
lookahead_answer_inserter: Optional[BaseLookaheadAnswerInserter] = None,
done_output_parser: Optional[IsDoneOutputParser] = None,
@@ -140,7 +136,7 @@ class FLAREInstructQueryEngine(BaseQueryEngine):
"""Init params."""
super().__init__(callback_manager=callback_manager)
self._query_engine = query_engine
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._instruct_prompt = instruct_prompt or DEFAULT_INSTRUCT_PROMPT
self._lookahead_answer_inserter = lookahead_answer_inserter or (
LLMLookaheadAnswerInserter(llm=self._llm)
diff --git a/llama-index-core/llama_index/core/query_engine/graph_query_engine.py b/llama-index-core/llama_index/core/query_engine/graph_query_engine.py
index eef39085a7b9bf83b721dd40ca4eef2a2c070a35..9ce4c7f279de1bc5a9d4338f73ca700930774749 100644
--- a/llama-index-core/llama_index/core/query_engine/graph_query_engine.py
+++ b/llama-index-core/llama_index/core/query_engine/graph_query_engine.py
@@ -5,10 +5,8 @@ from llama_index.core.base.response.schema import RESPONSE_TYPE
from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.indices.composability.graph import ComposableGraph
from llama_index.core.schema import IndexNode, NodeWithScore, QueryBundle, TextNode
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
+
import llama_index.core.instrumentation as instrument
dispatcher = instrument.get_dispatcher(__name__)
@@ -35,7 +33,7 @@ class ComposableGraphQueryEngine(BaseQueryEngine):
graph: ComposableGraph,
custom_query_engines: Optional[Dict[str, BaseQueryEngine]] = None,
recursive: bool = True,
- **kwargs: Any
+ **kwargs: Any,
) -> None:
"""Init params."""
self._graph = graph
@@ -44,9 +42,7 @@ class ComposableGraphQueryEngine(BaseQueryEngine):
# additional configs
self._recursive = recursive
- callback_manager = callback_manager_from_settings_or_context(
- Settings, self._graph.service_context
- )
+ callback_manager = Settings.callback_manager
super().__init__(callback_manager=callback_manager)
def _get_prompt_modules(self) -> Dict[str, Any]:
diff --git a/llama-index-core/llama_index/core/query_engine/jsonalyze_query_engine.py b/llama-index-core/llama_index/core/query_engine/jsonalyze_query_engine.py
index c2b81afbf9e1e3f785ef4e07b274abdb49bac96d..8514179138ec3080bc001afd4144c8557d808c61 100644
--- a/llama-index-core/llama_index/core/query_engine/jsonalyze_query_engine.py
+++ b/llama-index-core/llama_index/core/query_engine/jsonalyze_query_engine.py
@@ -15,12 +15,7 @@ from llama_index.core.prompts.default_prompts import DEFAULT_JSONALYZE_PROMPT
from llama_index.core.prompts.mixin import PromptDictType, PromptMixinType
from llama_index.core.prompts.prompt_type import PromptType
from llama_index.core.schema import QueryBundle
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.utils import print_text
logger = logging.getLogger(__name__)
@@ -212,7 +207,6 @@ class JSONalyzeQueryEngine(BaseQueryEngine):
Converts natural language statasical queries to SQL within in-mem SQLite queries.
list_of_dict(List[Dict[str, Any]]): List of dictionaries to query.
- service_context (ServiceContext): ServiceContext
jsonalyze_prompt (BasePromptTemplate): The JSONalyze prompt to use.
use_async (bool): Whether to use async.
analyzer (Callable): The analyzer that executes the query.
@@ -228,7 +222,6 @@ class JSONalyzeQueryEngine(BaseQueryEngine):
def __init__(
self,
list_of_dict: List[Dict[str, Any]],
- service_context: Optional[ServiceContext] = None,
llm: Optional[LLM] = None,
jsonalyze_prompt: Optional[BasePromptTemplate] = None,
use_async: bool = False,
@@ -242,7 +235,7 @@ class JSONalyzeQueryEngine(BaseQueryEngine):
) -> None:
"""Initialize params."""
self._list_of_dict = list_of_dict
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._jsonalyze_prompt = jsonalyze_prompt or DEFAULT_JSONALYZE_PROMPT
self._use_async = use_async
self._analyzer = load_jsonalyzer(use_async, analyzer)
@@ -254,11 +247,7 @@ class JSONalyzeQueryEngine(BaseQueryEngine):
self._table_name = table_name
self._verbose = verbose
- super().__init__(
- callback_manager=callback_manager_from_settings_or_context(
- Settings, service_context
- )
- )
+ super().__init__(callback_manager=Settings.callback_manager)
def _get_prompts(self) -> Dict[str, Any]:
"""Get prompts."""
diff --git a/llama-index-core/llama_index/core/query_engine/knowledge_graph_query_engine.py b/llama-index-core/llama_index/core/query_engine/knowledge_graph_query_engine.py
index a6936d8dd1ef6243f9808d36c43d2f9bd7a8f2f2..c6e61ada67acb54ea96ba20e05ee3c1c06e3e2d6 100644
--- a/llama-index-core/llama_index/core/query_engine/knowledge_graph_query_engine.py
+++ b/llama-index-core/llama_index/core/query_engine/knowledge_graph_query_engine.py
@@ -1,4 +1,4 @@
-""" Knowledge Graph Query Engine."""
+"""Knowledge Graph Query Engine."""
import deprecated
import logging
@@ -19,12 +19,7 @@ from llama_index.core.response_synthesizers import (
get_response_synthesizer,
)
from llama_index.core.schema import NodeWithScore, QueryBundle, TextNode
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.storage.storage_context import StorageContext
from llama_index.core.utils import print_text
@@ -61,7 +56,6 @@ class KnowledgeGraphQueryEngine(BaseQueryEngine):
Query engine to call a knowledge graph.
Args:
- service_context (Optional[ServiceContext]): A service context to use.
storage_context (Optional[StorageContext]): A storage context to use.
refresh_schema (bool): Whether to refresh the schema.
verbose (bool): Whether to print intermediate results.
@@ -80,8 +74,6 @@ class KnowledgeGraphQueryEngine(BaseQueryEngine):
refresh_schema: bool = False,
verbose: bool = False,
response_synthesizer: Optional[BaseSynthesizer] = None,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
):
# Ensure that we have a graph store
@@ -92,7 +84,7 @@ class KnowledgeGraphQueryEngine(BaseQueryEngine):
self._storage_context = storage_context
self.graph_store = storage_context.graph_store
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
# Get Graph schema
self._graph_schema = self.graph_store.get_schema(refresh=refresh_schema)
@@ -104,13 +96,9 @@ class KnowledgeGraphQueryEngine(BaseQueryEngine):
graph_response_answer_prompt or DEFAULT_KG_RESPONSE_ANSWER_PROMPT
)
self._verbose = verbose
- callback_manager = callback_manager_from_settings_or_context(
- Settings, service_context
- )
+ callback_manager = Settings.callback_manager
self._response_synthesizer = response_synthesizer or get_response_synthesizer(
- llm=self._llm,
- callback_manager=callback_manager,
- service_context=service_context,
+ llm=self._llm, callback_manager=callback_manager
)
super().__init__(callback_manager=callback_manager)
diff --git a/llama-index-core/llama_index/core/query_engine/retriever_query_engine.py b/llama-index-core/llama_index/core/query_engine/retriever_query_engine.py
index 5bf89372bd263f2a7ba76f3c8f372b1689abfb91..06c3f5a2cbc1a915731345311fc3f16e9c562884 100644
--- a/llama-index-core/llama_index/core/query_engine/retriever_query_engine.py
+++ b/llama-index-core/llama_index/core/query_engine/retriever_query_engine.py
@@ -16,12 +16,7 @@ from llama_index.core.response_synthesizers import (
get_response_synthesizer,
)
from llama_index.core.schema import NodeWithScore, QueryBundle
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
import llama_index.core.instrumentation as instrument
dispatcher = instrument.get_dispatcher(__name__)
@@ -46,11 +41,8 @@ class RetrieverQueryEngine(BaseQueryEngine):
) -> None:
self._retriever = retriever
self._response_synthesizer = response_synthesizer or get_response_synthesizer(
- llm=llm_from_settings_or_context(Settings, retriever.get_service_context()),
- callback_manager=callback_manager
- or callback_manager_from_settings_or_context(
- Settings, retriever.get_service_context()
- ),
+ llm=Settings.llm,
+ callback_manager=callback_manager or Settings.callback_manager,
)
self._node_postprocessors = node_postprocessors or []
@@ -81,15 +73,12 @@ class RetrieverQueryEngine(BaseQueryEngine):
output_cls: Optional[BaseModel] = None,
use_async: bool = False,
streaming: bool = False,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> "RetrieverQueryEngine":
"""Initialize a RetrieverQueryEngine object.".
Args:
retriever (BaseRetriever): A retriever object.
- service_context (Optional[ServiceContext]): A ServiceContext object.
node_postprocessors (Optional[List[BaseNodePostprocessor]]): A list of
node postprocessors.
verbose (bool): Whether to print out debug info.
@@ -105,11 +94,10 @@ class RetrieverQueryEngine(BaseQueryEngine):
object.
"""
- llm = llm or llm_from_settings_or_context(Settings, service_context)
+ llm = llm or Settings.llm
response_synthesizer = response_synthesizer or get_response_synthesizer(
llm=llm,
- service_context=service_context,
text_qa_template=text_qa_template,
refine_template=refine_template,
summary_template=summary_template,
@@ -120,9 +108,7 @@ class RetrieverQueryEngine(BaseQueryEngine):
streaming=streaming,
)
- callback_manager = callback_manager_from_settings_or_context(
- Settings, service_context
- )
+ callback_manager = Settings.callback_manager
return cls(
retriever=retriever,
diff --git a/llama-index-core/llama_index/core/query_engine/retry_source_query_engine.py b/llama-index-core/llama_index/core/query_engine/retry_source_query_engine.py
index 5329ab076352fc9bc947dd54fc9e31665674baf3..bf29bcdca34cb7bb391156bc666f8628095451a4 100644
--- a/llama-index-core/llama_index/core/query_engine/retry_source_query_engine.py
+++ b/llama-index-core/llama_index/core/query_engine/retry_source_query_engine.py
@@ -12,12 +12,7 @@ from llama_index.core.query_engine.retriever_query_engine import (
RetrieverQueryEngine,
)
from llama_index.core.schema import Document, QueryBundle
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
logger = logging.getLogger(__name__)
@@ -32,18 +27,13 @@ class RetrySourceQueryEngine(BaseQueryEngine):
llm: Optional[LLM] = None,
max_retries: int = 3,
callback_manager: Optional[CallbackManager] = None,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> None:
"""Run a BaseQueryEngine with retries."""
self._query_engine = query_engine
self._evaluator = evaluator
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self.max_retries = max_retries
- super().__init__(
- callback_manager=callback_manager
- or callback_manager_from_settings_or_context(Settings, service_context)
- )
+ super().__init__(callback_manager=callback_manager or Settings.callback_manager)
def _get_prompt_modules(self) -> PromptMixinType:
"""Get prompt sub-modules."""
diff --git a/llama-index-core/llama_index/core/query_engine/router_query_engine.py b/llama-index-core/llama_index/core/query_engine/router_query_engine.py
index 194ba29cf2865c569f85c1247e78d84a8c7f5bad..ecb68e9996fb158b3f8b67c4a6cf04bc003135ff 100644
--- a/llama-index-core/llama_index/core/query_engine/router_query_engine.py
+++ b/llama-index-core/llama_index/core/query_engine/router_query_engine.py
@@ -23,12 +23,7 @@ from llama_index.core.prompts.mixin import PromptMixinType
from llama_index.core.response_synthesizers import TreeSummarize
from llama_index.core.schema import BaseNode, QueryBundle
from llama_index.core.selectors.utils import get_selector_from_llm
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.tools.query_engine import QueryEngineTool
from llama_index.core.tools.types import ToolMetadata
from llama_index.core.utils import print_text
@@ -99,7 +94,6 @@ class RouterQueryEngine(BaseQueryEngine):
query_engine_tools (Sequence[QueryEngineTool]): A sequence of candidate
query engines. They must be wrapped as tools to expose metadata to
the selector.
- service_context (Optional[ServiceContext]): A service context.
summarizer (Optional[TreeSummarize]): Tree summarizer to summarize sub-results.
"""
@@ -111,25 +105,18 @@ class RouterQueryEngine(BaseQueryEngine):
llm: Optional[LLM] = None,
summarizer: Optional[TreeSummarize] = None,
verbose: bool = False,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> None:
- self._llm = llm or llm_from_settings_or_context(Settings, llm)
+ self._llm = llm or Settings.llm
self._selector = selector
self._query_engines = [x.query_engine for x in query_engine_tools]
self._metadatas = [x.metadata for x in query_engine_tools]
self._summarizer = summarizer or TreeSummarize(
llm=self._llm,
- service_context=service_context,
summary_template=DEFAULT_TREE_SUMMARIZE_PROMPT_SEL,
)
self._verbose = verbose
- super().__init__(
- callback_manager=callback_manager_from_settings_or_context(
- Settings, service_context
- )
- )
+ super().__init__(callback_manager=Settings.callback_manager)
def _get_prompt_modules(self) -> PromptMixinType:
"""Get prompt sub-modules."""
@@ -144,11 +131,9 @@ class RouterQueryEngine(BaseQueryEngine):
selector: Optional[BaseSelector] = None,
summarizer: Optional[TreeSummarize] = None,
select_multi: bool = False,
- # deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> "RouterQueryEngine":
- llm = llm or llm_from_settings_or_context(Settings, llm)
+ llm = llm or Settings.llm
selector = selector or get_selector_from_llm(llm, is_multi=select_multi)
@@ -158,7 +143,6 @@ class RouterQueryEngine(BaseQueryEngine):
selector,
query_engine_tools,
llm=llm,
- service_context=service_context,
summarizer=summarizer,
**kwargs,
)
@@ -325,7 +309,6 @@ class ToolRetrieverRouterQueryEngine(BaseQueryEngine):
Args:
retriever (ObjectRetriever): A retriever that retrieves a set of
query engine tools.
- service_context (Optional[ServiceContext]): A service context.
summarizer (Optional[TreeSummarize]): Tree summarizer to summarize sub-results.
"""
@@ -334,19 +317,16 @@ class ToolRetrieverRouterQueryEngine(BaseQueryEngine):
self,
retriever: ObjectRetriever[QueryEngineTool],
llm: Optional[LLM] = None,
- service_context: Optional[ServiceContext] = None,
summarizer: Optional[TreeSummarize] = None,
) -> None:
- llm = llm or llm_from_settings_or_context(Settings, service_context)
+ llm = llm or Settings.llm
self._summarizer = summarizer or TreeSummarize(
llm=llm,
summary_template=DEFAULT_TREE_SUMMARIZE_PROMPT_SEL,
)
self._retriever = retriever
- super().__init__(
- callback_manager_from_settings_or_context(Settings, service_context)
- )
+ super().__init__(Settings.callback_manager)
def _get_prompt_modules(self) -> PromptMixinType:
"""Get prompt sub-modules."""
diff --git a/llama-index-core/llama_index/core/query_engine/sql_join_query_engine.py b/llama-index-core/llama_index/core/query_engine/sql_join_query_engine.py
index f8eee3c607f2ab85e1d1a0c237d40af5ba3103ad..f80959a86bf3af5f6d9b41ff395eb12cda9990b5 100644
--- a/llama-index-core/llama_index/core/query_engine/sql_join_query_engine.py
+++ b/llama-index-core/llama_index/core/query_engine/sql_join_query_engine.py
@@ -15,17 +15,14 @@ from llama_index.core.indices.struct_store.sql_query import (
BaseSQLTableQueryEngine,
NLSQLTableQueryEngine,
)
+from llama_index.core.llms import LLM
from llama_index.core.prompts.base import BasePromptTemplate, PromptTemplate
from llama_index.core.prompts.mixin import PromptDictType, PromptMixinType
from llama_index.core.schema import QueryBundle
from llama_index.core.selectors.llm_selectors import LLMSingleSelector
from llama_index.core.selectors.pydantic_selectors import PydanticSingleSelector
from llama_index.core.selectors.utils import get_selector_from_llm
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.service_context_elements.llm_predictor import (
- LLMPredictorType,
-)
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+from llama_index.core.settings import Settings
from llama_index.core.tools.query_engine import QueryEngineTool
from llama_index.core.utils import print_text
@@ -125,7 +122,7 @@ class SQLAugmentQueryTransform(BaseQueryTransform):
def __init__(
self,
- llm: Optional[LLMPredictorType] = None,
+ llm: Optional[LLM] = None,
sql_augment_transform_prompt: Optional[BasePromptTemplate] = None,
check_stop_parser: Optional[Callable[[QueryBundle], bool]] = None,
) -> None:
@@ -180,7 +177,6 @@ class SQLJoinQueryEngine(BaseQueryEngine):
other_query_tool (QueryEngineTool): Other query engine tool.
selector (Optional[Union[LLMSingleSelector, PydanticSingleSelector]]):
Selector to use.
- service_context (Optional[ServiceContext]): Service context to use.
sql_join_synthesis_prompt (Optional[BasePromptTemplate]):
PromptTemplate to use for SQL join synthesis.
sql_augment_query_transform (Optional[SQLAugmentQueryTransform]): Query
@@ -196,15 +192,13 @@ class SQLJoinQueryEngine(BaseQueryEngine):
sql_query_tool: QueryEngineTool,
other_query_tool: QueryEngineTool,
selector: Optional[Union[LLMSingleSelector, PydanticSingleSelector]] = None,
- llm: Optional[LLMPredictorType] = None,
+ llm: Optional[LLM] = None,
sql_join_synthesis_prompt: Optional[BasePromptTemplate] = None,
sql_augment_query_transform: Optional[SQLAugmentQueryTransform] = None,
use_sql_join_synthesis: bool = True,
callback_manager: Optional[CallbackManager] = None,
verbose: bool = True,
streaming: bool = False,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> None:
"""Initialize params."""
super().__init__(callback_manager=callback_manager)
@@ -220,7 +214,7 @@ class SQLJoinQueryEngine(BaseQueryEngine):
self._sql_query_tool = sql_query_tool
self._other_query_tool = other_query_tool
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._selector = selector or get_selector_from_llm(self._llm, is_multi=False)
assert isinstance(self._selector, (LLMSingleSelector, PydanticSingleSelector))
diff --git a/llama-index-core/llama_index/core/query_engine/sql_vector_query_engine.py b/llama-index-core/llama_index/core/query_engine/sql_vector_query_engine.py
index 23cb43b32c541bff65909f3336f03bf56a0c8284..0703e63d76e5ed5d7f33a9923d1373c8292ff55b 100644
--- a/llama-index-core/llama_index/core/query_engine/sql_vector_query_engine.py
+++ b/llama-index-core/llama_index/core/query_engine/sql_vector_query_engine.py
@@ -23,7 +23,6 @@ from llama_index.core.query_engine.sql_join_query_engine import (
)
from llama_index.core.selectors.llm_selectors import LLMSingleSelector
from llama_index.core.selectors.pydantic_selectors import PydanticSingleSelector
-from llama_index.core.service_context import ServiceContext
from llama_index.core.tools.query_engine import QueryEngineTool
logger = logging.getLogger(__name__)
@@ -66,7 +65,6 @@ class SQLAutoVectorQueryEngine(SQLJoinQueryEngine):
vector_query_tool (QueryEngineTool): Query engine tool for vector database.
selector (Optional[Union[LLMSingleSelector, PydanticSingleSelector]]):
Selector to use.
- service_context (Optional[ServiceContext]): Service context to use.
sql_vector_synthesis_prompt (Optional[BasePromptTemplate]):
Prompt to use for SQL vector synthesis.
sql_augment_query_transform (Optional[SQLAugmentQueryTransform]): Query
@@ -83,7 +81,6 @@ class SQLAutoVectorQueryEngine(SQLJoinQueryEngine):
vector_query_tool: QueryEngineTool,
selector: Optional[Union[LLMSingleSelector, PydanticSingleSelector]] = None,
llm: Optional[LLM] = None,
- service_context: Optional[ServiceContext] = None,
sql_vector_synthesis_prompt: Optional[BasePromptTemplate] = None,
sql_augment_query_transform: Optional[SQLAugmentQueryTransform] = None,
use_sql_vector_synthesis: bool = True,
@@ -121,7 +118,6 @@ class SQLAutoVectorQueryEngine(SQLJoinQueryEngine):
vector_query_tool,
selector=selector,
llm=llm,
- service_context=service_context,
sql_join_synthesis_prompt=sql_vector_synthesis_prompt,
sql_augment_query_transform=sql_augment_query_transform,
use_sql_join_synthesis=use_sql_vector_synthesis,
diff --git a/llama-index-core/llama_index/core/query_engine/sub_question_query_engine.py b/llama-index-core/llama_index/core/query_engine/sub_question_query_engine.py
index c2193eece92dae90bbc93770f37d01e9f5c0931a..36f7fa02a32d685fef4f9b482b23b5e7ba2de7ed 100644
--- a/llama-index-core/llama_index/core/query_engine/sub_question_query_engine.py
+++ b/llama-index-core/llama_index/core/query_engine/sub_question_query_engine.py
@@ -17,12 +17,7 @@ from llama_index.core.response_synthesizers import (
get_response_synthesizer,
)
from llama_index.core.schema import NodeWithScore, QueryBundle, TextNode
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.tools.query_engine import QueryEngineTool
from llama_index.core.utils import get_color_mapping, print_text
@@ -93,17 +88,14 @@ class SubQuestionQueryEngine(BaseQueryEngine):
llm: Optional[LLM] = None,
question_gen: Optional[BaseQuestionGenerator] = None,
response_synthesizer: Optional[BaseSynthesizer] = None,
- service_context: Optional[ServiceContext] = None,
verbose: bool = True,
use_async: bool = True,
) -> "SubQuestionQueryEngine":
- callback_manager = callback_manager_from_settings_or_context(
- Settings, service_context
- )
+ callback_manager = Settings.callback_manager
if len(query_engine_tools) > 0:
callback_manager = query_engine_tools[0].query_engine.callback_manager
- llm = llm or llm_from_settings_or_context(Settings, service_context)
+ llm = llm or Settings.llm
if question_gen is None:
try:
from llama_index.question_gen.openai import (
@@ -125,7 +117,6 @@ class SubQuestionQueryEngine(BaseQueryEngine):
synth = response_synthesizer or get_response_synthesizer(
llm=llm,
callback_manager=callback_manager,
- service_context=service_context,
use_async=use_async,
)
diff --git a/llama-index-core/llama_index/core/query_pipeline/components/agent.py b/llama-index-core/llama_index/core/query_pipeline/components/agent.py
index 384f5fa69d853c65d290e078291075782bb2b297..50f771de87f99b3850610ad5fc09596e5ae10224 100644
--- a/llama-index-core/llama_index/core/query_pipeline/components/agent.py
+++ b/llama-index-core/llama_index/core/query_pipeline/components/agent.py
@@ -2,16 +2,29 @@
from inspect import signature
from typing import Any, Callable, Dict, Optional, Set, Tuple, cast
+from typing_extensions import Annotated
from llama_index.core.base.query_pipeline.query import (
InputKeys,
OutputKeys,
QueryComponent,
)
-from llama_index.core.bridge.pydantic import Field, PrivateAttr
+from llama_index.core.bridge.pydantic import (
+ Field,
+ PrivateAttr,
+ ConfigDict,
+ WithJsonSchema,
+)
from llama_index.core.callbacks.base import CallbackManager
+AnnotatedCallable = Annotated[
+ Callable,
+ WithJsonSchema({"type": "string"}, mode="serialization"),
+ WithJsonSchema({"type": "string"}, mode="validation"),
+]
+
+
def get_parameters(fn: Callable) -> Tuple[Set[str], Set[str]]:
"""Get parameters from function.
@@ -48,8 +61,9 @@ class AgentInputComponent(QueryComponent):
"""
- fn: Callable = Field(..., description="Function to run.")
- async_fn: Optional[Callable] = Field(
+ model_config = ConfigDict(arbitrary_types_allowed=True)
+ fn: AnnotatedCallable = Field(..., description="Function to run.")
+ async_fn: Optional[AnnotatedCallable] = Field(
None, description="Async function to run. If not provided, will run `fn`."
)
@@ -66,6 +80,7 @@ class AgentInputComponent(QueryComponent):
) -> None:
"""Initialize."""
# determine parameters
+ super().__init__(fn=fn, async_fn=async_fn, **kwargs)
default_req_params, default_opt_params = get_parameters(fn)
if req_params is None:
req_params = default_req_params
@@ -74,10 +89,6 @@ class AgentInputComponent(QueryComponent):
self._req_params = req_params
self._opt_params = opt_params
- super().__init__(fn=fn, async_fn=async_fn, **kwargs)
-
- class Config:
- arbitrary_types_allowed = True
def set_callback_manager(self, callback_manager: CallbackManager) -> None:
"""Set callback manager."""
@@ -157,6 +168,7 @@ class AgentFnComponent(BaseAgentComponent):
"""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
fn: Callable = Field(..., description="Function to run.")
async_fn: Optional[Callable] = Field(
None, description="Async function to run. If not provided, will run `fn`."
@@ -175,6 +187,7 @@ class AgentFnComponent(BaseAgentComponent):
) -> None:
"""Initialize."""
# determine parameters
+ super().__init__(fn=fn, async_fn=async_fn, **kwargs)
default_req_params, default_opt_params = get_parameters(fn)
# make sure task and step are part of the list, and remove them from the list
if "task" not in default_req_params or "state" not in default_req_params:
@@ -192,10 +205,6 @@ class AgentFnComponent(BaseAgentComponent):
self._req_params = req_params
self._opt_params = opt_params
- super().__init__(fn=fn, async_fn=async_fn, **kwargs)
-
- class Config:
- arbitrary_types_allowed = True
def set_callback_manager(self, callback_manager: CallbackManager) -> None:
"""Set callback manager."""
@@ -267,13 +276,11 @@ class CustomAgentComponent(BaseAgentComponent):
"""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
callback_manager: CallbackManager = Field(
default_factory=CallbackManager, description="Callback manager"
)
- class Config:
- arbitrary_types_allowed = True
-
def set_callback_manager(self, callback_manager: CallbackManager) -> None:
"""Set callback manager."""
self.callback_manager = callback_manager
diff --git a/llama-index-core/llama_index/core/query_pipeline/components/function.py b/llama-index-core/llama_index/core/query_pipeline/components/function.py
index f6a180da0666c11c57eb550216cb6bc8eeb487ad..c36ae5e087a17f519d031015429de76f9c85dd51 100644
--- a/llama-index-core/llama_index/core/query_pipeline/components/function.py
+++ b/llama-index-core/llama_index/core/query_pipeline/components/function.py
@@ -2,15 +2,27 @@
from inspect import signature
from typing import Any, Callable, Dict, Optional, Set, Tuple
+from typing_extensions import Annotated
from llama_index.core.base.query_pipeline.query import (
InputKeys,
OutputKeys,
QueryComponent,
)
-from llama_index.core.bridge.pydantic import Field, PrivateAttr
+from llama_index.core.bridge.pydantic import (
+ Field,
+ PrivateAttr,
+ ConfigDict,
+ WithJsonSchema,
+)
from llama_index.core.callbacks.base import CallbackManager
+AnnotatedCallable = Annotated[
+ Callable,
+ WithJsonSchema({"type": "string"}, mode="serialization"),
+ WithJsonSchema({"type": "string"}, mode="validation"),
+]
+
def get_parameters(fn: Callable) -> Tuple[Set[str], Set[str]]:
"""Get parameters from function.
@@ -35,8 +47,9 @@ def get_parameters(fn: Callable) -> Tuple[Set[str], Set[str]]:
class FnComponent(QueryComponent):
"""Query component that takes in an arbitrary function."""
- fn: Callable = Field(..., description="Function to run.")
- async_fn: Optional[Callable] = Field(
+ model_config = ConfigDict(arbitrary_types_allowed=True)
+ fn: AnnotatedCallable = Field(..., description="Function to run.")
+ async_fn: Optional[AnnotatedCallable] = Field(
None, description="Async function to run. If not provided, will run `fn`."
)
output_key: str = Field(
@@ -57,6 +70,7 @@ class FnComponent(QueryComponent):
) -> None:
"""Initialize."""
# determine parameters
+ super().__init__(fn=fn, async_fn=async_fn, output_key=output_key, **kwargs)
default_req_params, default_opt_params = get_parameters(fn)
if req_params is None:
req_params = default_req_params
@@ -65,10 +79,6 @@ class FnComponent(QueryComponent):
self._req_params = req_params
self._opt_params = opt_params
- super().__init__(fn=fn, async_fn=async_fn, output_key=output_key, **kwargs)
-
- class Config:
- arbitrary_types_allowed = True
def set_callback_manager(self, callback_manager: CallbackManager) -> None:
"""Set callback manager."""
diff --git a/llama-index-core/llama_index/core/query_pipeline/components/loop.py b/llama-index-core/llama_index/core/query_pipeline/components/loop.py
index 1e8f787372cdaf2f73ccaea85645acf61af58ab2..9224fd95562f1739e82ed7c218774239609de7d1 100644
--- a/llama-index-core/llama_index/core/query_pipeline/components/loop.py
+++ b/llama-index-core/llama_index/core/query_pipeline/components/loop.py
@@ -4,25 +4,32 @@ from llama_index.core.base.query_pipeline.query import (
QueryComponent,
)
from llama_index.core.query_pipeline.query import QueryPipeline
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, ConfigDict, WithJsonSchema
from llama_index.core.callbacks.base import CallbackManager
from typing import Any, Dict, Optional, Callable
+from typing_extensions import Annotated
+
+AnnotatedCallable = Annotated[
+ Callable,
+ WithJsonSchema({"type": "string"}, mode="serialization"),
+ WithJsonSchema({"type": "string"}, mode="validation"),
+]
class LoopComponent(QueryComponent):
"""Loop component."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
pipeline: QueryPipeline = Field(..., description="Query pipeline")
- should_exit_fn: Optional[Callable] = Field(..., description="Should exit function")
- add_output_to_input_fn: Optional[Callable] = Field(
+ should_exit_fn: Optional[AnnotatedCallable] = Field(
+ ..., description="Should exit function"
+ )
+ add_output_to_input_fn: Optional[AnnotatedCallable] = Field(
...,
description="Add output to input function. If not provided, will reuse the original input for the next iteration. If provided, will call the function to combine the output into the input for the next iteration.",
)
max_iterations: Optional[int] = Field(5, description="Max iterations")
- class Config:
- arbitrary_types_allowed = True
-
def __init__(
self,
pipeline: QueryPipeline,
diff --git a/llama-index-core/llama_index/core/query_pipeline/components/router.py b/llama-index-core/llama_index/core/query_pipeline/components/router.py
index 9ce1b1f9b10609d96b07f1c2f37a94d5acf83c66..ce762cf12bdc4c81c0d5534ffa64fe02b627ccf7 100644
--- a/llama-index-core/llama_index/core/query_pipeline/components/router.py
+++ b/llama-index-core/llama_index/core/query_pipeline/components/router.py
@@ -1,6 +1,5 @@
"""Router components."""
-
from typing import Any, Dict, List
from llama_index.core.base.base_selector import BaseSelector
@@ -12,7 +11,12 @@ from llama_index.core.base.query_pipeline.query import (
QueryComponent,
validate_and_convert_stringable,
)
-from llama_index.core.bridge.pydantic import Field, PrivateAttr
+from llama_index.core.bridge.pydantic import (
+ Field,
+ PrivateAttr,
+ SerializeAsAny,
+ ConfigDict,
+)
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.utils import print_text
@@ -20,11 +24,9 @@ from llama_index.core.utils import print_text
class SelectorComponent(QueryComponent):
"""Selector component."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
selector: BaseSelector = Field(..., description="Selector")
- class Config:
- arbitrary_types_allowed = True
-
def set_callback_manager(self, callback_manager: CallbackManager) -> None:
"""Set callback manager."""
@@ -76,20 +78,18 @@ class RouterComponent(QueryComponent):
"""
- selector: BaseSelector = Field(..., description="Selector")
+ model_config = ConfigDict(arbitrary_types_allowed=True)
+ selector: SerializeAsAny[BaseSelector] = Field(..., description="Selector")
choices: List[str] = Field(
..., description="Choices (must correspond to components)"
)
- components: List[QueryComponent] = Field(
+ components: List[SerializeAsAny[QueryComponent]] = Field(
..., description="Components (must correspond to choices)"
)
verbose: bool = Field(default=False, description="Verbose")
_query_keys: List[str] = PrivateAttr()
- class Config:
- arbitrary_types_allowed = True
-
def __init__(
self,
selector: BaseSelector,
@@ -111,15 +111,13 @@ class RouterComponent(QueryComponent):
raise ValueError("Expected one required input key")
query_keys.append(next(iter(new_component.free_req_input_keys)))
new_components.append(new_component)
-
- self._query_keys = query_keys
-
super().__init__(
selector=selector,
choices=choices,
components=new_components,
verbose=verbose,
)
+ self._query_keys = query_keys
def set_callback_manager(self, callback_manager: CallbackManager) -> None:
"""Set callback manager."""
diff --git a/llama-index-core/llama_index/core/query_pipeline/components/tool_runner.py b/llama-index-core/llama_index/core/query_pipeline/components/tool_runner.py
index 2c586ea20854563329309d2f9a6421198e90d38c..1679372223efe9be519cad8d11f22c960838b3e0 100644
--- a/llama-index-core/llama_index/core/query_pipeline/components/tool_runner.py
+++ b/llama-index-core/llama_index/core/query_pipeline/components/tool_runner.py
@@ -8,7 +8,7 @@ from llama_index.core.base.query_pipeline.query import (
QueryComponent,
validate_and_convert_stringable,
)
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, ConfigDict
from llama_index.core.callbacks import (
CallbackManager,
CBEventType,
@@ -21,6 +21,7 @@ from llama_index.core.tools import AsyncBaseTool, adapt_to_async_tool
class ToolRunnerComponent(QueryComponent):
"""Tool runner component that takes in a set of tools."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
tool_dict: Dict[str, AsyncBaseTool] = Field(
..., description="Dictionary of tool names to tools."
)
@@ -42,9 +43,6 @@ class ToolRunnerComponent(QueryComponent):
tool_dict=tool_dict, callback_manager=callback_manager, **kwargs
)
- class Config:
- arbitrary_types_allowed = True
-
def set_callback_manager(self, callback_manager: CallbackManager) -> None:
"""Set callback manager."""
self.callback_manager = callback_manager
diff --git a/llama-index-core/llama_index/core/query_pipeline/query.py b/llama-index-core/llama_index/core/query_pipeline/query.py
index 524ad4eb0065c2c5cd7afe71c05aa24671650543..3e40dc838e4441a0aa22730decb125ace38ad76c 100644
--- a/llama-index-core/llama_index/core/query_pipeline/query.py
+++ b/llama-index-core/llama_index/core/query_pipeline/query.py
@@ -19,7 +19,7 @@ from typing import (
import networkx
from llama_index.core.async_utils import asyncio_run, run_jobs
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, ConfigDict
from llama_index.core.callbacks import CallbackManager
from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.base.query_pipeline.query import (
@@ -205,6 +205,7 @@ class QueryPipeline(QueryComponent):
"""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
callback_manager: CallbackManager = Field(
default_factory=lambda: CallbackManager([]), exclude=True
)
@@ -229,9 +230,6 @@ class QueryPipeline(QueryComponent):
default_factory=dict, description="State of the pipeline."
)
- class Config:
- arbitrary_types_allowed = True
-
def __init__(
self,
callback_manager: Optional[CallbackManager] = None,
@@ -281,7 +279,7 @@ class QueryPipeline(QueryComponent):
self.add_modules(modules)
if links is not None:
for link in links:
- self.add_link(**link.dict())
+ self.add_link(**link.model_dump())
def add_chain(self, chain: Sequence[CHAIN_COMPONENT_TYPE]) -> None:
"""Add a chain of modules to the pipeline.
@@ -318,7 +316,7 @@ class QueryPipeline(QueryComponent):
"""Add links to the pipeline."""
for link in links:
if isinstance(link, Link):
- self.add_link(**link.dict())
+ self.add_link(**link.model_dump())
else:
raise ValueError("Link must be of type `Link` or `ConditionalLinks`.")
diff --git a/llama-index-core/llama_index/core/question_gen/llm_generators.py b/llama-index-core/llama_index/core/question_gen/llm_generators.py
index 571d6da6f8e3399afb9ac835f4260ca8b9104907..4c14520b1c0610befd962e03748533d02531eada 100644
--- a/llama-index-core/llama_index/core/question_gen/llm_generators.py
+++ b/llama-index-core/llama_index/core/question_gen/llm_generators.py
@@ -12,7 +12,6 @@ from llama_index.core.question_gen.prompts import (
)
from llama_index.core.question_gen.types import BaseQuestionGenerator, SubQuestion
from llama_index.core.schema import QueryBundle
-from llama_index.core.service_context_elements.llm_predictor import LLMPredictorType
from llama_index.core.settings import Settings
from llama_index.core.tools.types import ToolMetadata
from llama_index.core.types import BaseOutputParser
@@ -33,7 +32,7 @@ class LLMQuestionGenerator(BaseQuestionGenerator):
@classmethod
def from_defaults(
cls,
- llm: Optional[LLMPredictorType] = None,
+ llm: Optional[LLM] = None,
prompt_template_str: Optional[str] = None,
output_parser: Optional[BaseOutputParser] = None,
) -> "LLMQuestionGenerator":
diff --git a/llama-index-core/llama_index/core/question_gen/output_parser.py b/llama-index-core/llama_index/core/question_gen/output_parser.py
index c307f9c98fed9f9eda7b1a8e664edb24dad14d90..562837bd5836fd2b07c5c37f2973390274ab89bd 100644
--- a/llama-index-core/llama_index/core/question_gen/output_parser.py
+++ b/llama-index-core/llama_index/core/question_gen/output_parser.py
@@ -18,7 +18,7 @@ class SubQuestionOutputParser(BaseOutputParser):
if "items" in json_dict:
json_dict = json_dict["items"]
- sub_questions = [SubQuestion.parse_obj(item) for item in json_dict]
+ sub_questions = [SubQuestion.model_validate(item) for item in json_dict]
return StructuredOutput(raw_output=output, parsed_output=sub_questions)
def format(self, prompt_template: str) -> str:
diff --git a/llama-index-core/llama_index/core/question_gen/prompts.py b/llama-index-core/llama_index/core/question_gen/prompts.py
index 1c5f6f26e77a2d97430690af0c2fde198eec4e35..71a9f4636d7800b7276853dd205c66e725c906ec 100644
--- a/llama-index-core/llama_index/core/question_gen/prompts.py
+++ b/llama-index-core/llama_index/core/question_gen/prompts.py
@@ -47,7 +47,9 @@ example_output = [
),
SubQuestion(sub_question="What is the EBITDA of Lyft", tool_name="lyft_10k"),
]
-example_output_str = json.dumps({"items": [x.dict() for x in example_output]}, indent=4)
+example_output_str = json.dumps(
+ {"items": [x.model_dump() for x in example_output]}, indent=4
+)
EXAMPLES = f"""\
# Example 1
diff --git a/llama-index-core/llama_index/core/readers/base.py b/llama-index-core/llama_index/core/readers/base.py
index 5dc4e0481f7e6d68d454adb867d9d458789ab496..667513b89e328a20f2b1890cd91561d0f0f2cf16 100644
--- a/llama-index-core/llama_index/core/readers/base.py
+++ b/llama-index-core/llama_index/core/readers/base.py
@@ -7,12 +7,12 @@ from typing import (
Dict,
Iterable,
List,
- Optional,
)
if TYPE_CHECKING:
from llama_index.core.bridge.langchain import Document as LCDocument
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, GetJsonSchemaHandler, ConfigDict
+from llama_index.core.bridge.pydantic_core import CoreSchema
from llama_index.core.schema import BaseComponent, Document
@@ -46,8 +46,13 @@ class BaseReader(ABC):
return [d.to_langchain_format() for d in docs]
@classmethod
- def __modify_schema__(cls, field_schema: Dict[str, Any], field: Optional[Any]):
- field_schema.update({"title": cls.__name__})
+ def __get_pydantic_json_schema__(
+ cls, core_schema: CoreSchema, handler: GetJsonSchemaHandler
+ ) -> Dict[str, Any]:
+ json_schema = super().__get_pydantic_json_schema__(core_schema, handler)
+ json_schema = handler.resolve_ref_schema(json_schema)
+ json_schema.update({"title": cls.__name__})
+ return json_schema
@classmethod
def __get_pydantic_json_schema__(
@@ -62,14 +67,12 @@ class BaseReader(ABC):
class BasePydanticReader(BaseReader, BaseComponent):
"""Serialiable Data Loader with Pydantic."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
is_remote: bool = Field(
default=False,
description="Whether the data is loaded from a remote API or a local file.",
)
- class Config:
- arbitrary_types_allowed = True
-
class ResourcesReaderMixin(ABC):
"""
@@ -209,15 +212,13 @@ class ResourcesReaderMixin(ABC):
class ReaderConfig(BaseComponent):
"""Represents a reader and it's input arguments."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
reader: BasePydanticReader = Field(..., description="Reader to use.")
reader_args: List[Any] = Field(default_factory=list, description="Reader args.")
reader_kwargs: Dict[str, Any] = Field(
default_factory=dict, description="Reader kwargs."
)
- class Config:
- arbitrary_types_allowed = True
-
@classmethod
def class_name(cls) -> str:
"""Get the name identifier of the class."""
diff --git a/llama-index-core/llama_index/core/response_synthesizers/accumulate.py b/llama-index-core/llama_index/core/response_synthesizers/accumulate.py
index 36e3b20a75e40cfb12735bc370e042f37d85f4a4..dcc20d6a5b62fc313d97e42dff4dc926d1396af3 100644
--- a/llama-index-core/llama_index/core/response_synthesizers/accumulate.py
+++ b/llama-index-core/llama_index/core/response_synthesizers/accumulate.py
@@ -4,14 +4,13 @@ from typing import Any, Callable, List, Optional, Sequence
from llama_index.core.async_utils import run_async_tasks
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.indices.prompt_helper import PromptHelper
+from llama_index.core.llms import LLM
from llama_index.core.prompts import BasePromptTemplate
from llama_index.core.prompts.default_prompt_selectors import (
DEFAULT_TEXT_QA_PROMPT_SEL,
)
from llama_index.core.prompts.mixin import PromptDictType
from llama_index.core.response_synthesizers.base import BaseSynthesizer
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.service_context_elements.llm_predictor import LLMPredictorType
from llama_index.core.types import RESPONSE_TEXT_TYPE
@@ -20,21 +19,18 @@ class Accumulate(BaseSynthesizer):
def __init__(
self,
- llm: Optional[LLMPredictorType] = None,
+ llm: Optional[LLM] = None,
callback_manager: Optional[CallbackManager] = None,
prompt_helper: Optional[PromptHelper] = None,
text_qa_template: Optional[BasePromptTemplate] = None,
output_cls: Optional[Any] = None,
streaming: bool = False,
use_async: bool = False,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> None:
super().__init__(
llm=llm,
callback_manager=callback_manager,
prompt_helper=prompt_helper,
- service_context=service_context,
streaming=streaming,
)
self._text_qa_template = text_qa_template or DEFAULT_TEXT_QA_PROMPT_SEL
diff --git a/llama-index-core/llama_index/core/response_synthesizers/base.py b/llama-index-core/llama_index/core/response_synthesizers/base.py
index 17e3e502183c12babb8ba8f34768924efd8ea441..38d3fd656240da43702b0a0a1083500228bf11bf 100644
--- a/llama-index-core/llama_index/core/response_synthesizers/base.py
+++ b/llama-index-core/llama_index/core/response_synthesizers/base.py
@@ -26,10 +26,11 @@ from llama_index.core.base.response.schema import (
StreamingResponse,
AsyncStreamingResponse,
)
-from llama_index.core.bridge.pydantic import BaseModel, Field
+from llama_index.core.bridge.pydantic import BaseModel, Field, ConfigDict
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.indices.prompt_helper import PromptHelper
+from llama_index.core.llms import LLM
from llama_index.core.prompts.mixin import PromptMixin
from llama_index.core.schema import (
BaseNode,
@@ -38,13 +39,7 @@ from llama_index.core.schema import (
QueryBundle,
QueryType,
)
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.service_context_elements.llm_predictor import LLMPredictorType
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.types import RESPONSE_TEXT_TYPE
from llama_index.core.instrumentation import DispatcherSpanMixin
from llama_index.core.instrumentation.events.synthesis import (
@@ -74,24 +69,19 @@ class BaseSynthesizer(ChainableMixin, PromptMixin, DispatcherSpanMixin):
def __init__(
self,
- llm: Optional[LLMPredictorType] = None,
+ llm: Optional[LLM] = None,
callback_manager: Optional[CallbackManager] = None,
prompt_helper: Optional[PromptHelper] = None,
streaming: bool = False,
- output_cls: BaseModel = None,
- # deprecated
- service_context: Optional[ServiceContext] = None,
+ output_cls: Optional[BaseModel] = None,
) -> None:
"""Init params."""
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
if callback_manager:
self._llm.callback_manager = callback_manager
- self._callback_manager = (
- callback_manager
- or callback_manager_from_settings_or_context(Settings, service_context)
- )
+ self._callback_manager = callback_manager or Settings.callback_manager
self._prompt_helper = (
prompt_helper
@@ -170,7 +160,7 @@ class BaseSynthesizer(ChainableMixin, PromptMixin, DispatcherSpanMixin):
if isinstance(self._llm, StructuredLLM):
# convert string to output_cls
- output = self._llm.output_cls.parse_raw(response_str)
+ output = self._llm.output_cls.model_validate_json(response_str)
return PydanticResponse(
output,
source_nodes=source_nodes,
@@ -344,11 +334,9 @@ class BaseSynthesizer(ChainableMixin, PromptMixin, DispatcherSpanMixin):
class SynthesizerComponent(QueryComponent):
"""Synthesizer component."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
synthesizer: BaseSynthesizer = Field(..., description="Synthesizer")
- class Config:
- arbitrary_types_allowed = True
-
def set_callback_manager(self, callback_manager: CallbackManager) -> None:
"""Set callback manager."""
self.synthesizer.callback_manager = callback_manager
diff --git a/llama-index-core/llama_index/core/response_synthesizers/factory.py b/llama-index-core/llama_index/core/response_synthesizers/factory.py
index 797a4931836d6db56de5bd6d86b4b8cbc7f883ad..2240c119cf2e36a4951667cd9ac3b870bd335702 100644
--- a/llama-index-core/llama_index/core/response_synthesizers/factory.py
+++ b/llama-index-core/llama_index/core/response_synthesizers/factory.py
@@ -10,6 +10,7 @@ from llama_index.core.prompts.default_prompt_selectors import (
DEFAULT_TREE_SUMMARIZE_PROMPT_SEL,
)
from llama_index.core.prompts.default_prompts import DEFAULT_SIMPLE_INPUT_PROMPT
+from llama_index.core.llms import LLM
from llama_index.core.prompts.prompts import PromptTemplate
from llama_index.core.response_synthesizers.accumulate import Accumulate
from llama_index.core.response_synthesizers.base import BaseSynthesizer
@@ -26,20 +27,13 @@ from llama_index.core.response_synthesizers.refine import Refine
from llama_index.core.response_synthesizers.simple_summarize import SimpleSummarize
from llama_index.core.response_synthesizers.tree_summarize import TreeSummarize
from llama_index.core.response_synthesizers.type import ResponseMode
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.service_context_elements.llm_predictor import LLMPredictorType
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.types import BasePydanticProgram
def get_response_synthesizer(
- llm: Optional[LLMPredictorType] = None,
+ llm: Optional[LLM] = None,
prompt_helper: Optional[PromptHelper] = None,
- service_context: Optional[ServiceContext] = None,
text_qa_template: Optional[BasePromptTemplate] = None,
refine_template: Optional[BasePromptTemplate] = None,
summary_template: Optional[BasePromptTemplate] = None,
@@ -59,21 +53,15 @@ def get_response_synthesizer(
simple_template = simple_template or DEFAULT_SIMPLE_INPUT_PROMPT
summary_template = summary_template or DEFAULT_TREE_SUMMARIZE_PROMPT_SEL
- callback_manager = callback_manager or callback_manager_from_settings_or_context(
- Settings, service_context
- )
- llm = llm or llm_from_settings_or_context(Settings, service_context)
-
- if service_context is not None:
- prompt_helper = service_context.prompt_helper
- else:
- prompt_helper = (
- prompt_helper
- or Settings._prompt_helper
- or PromptHelper.from_llm_metadata(
- llm.metadata,
- )
+ callback_manager = callback_manager or Settings.callback_manager
+ llm = llm or Settings.llm
+ prompt_helper = (
+ prompt_helper
+ or Settings._prompt_helper
+ or PromptHelper.from_llm_metadata(
+ llm.metadata,
)
+ )
if response_mode == ResponseMode.REFINE:
return Refine(
@@ -87,8 +75,6 @@ def get_response_synthesizer(
structured_answer_filtering=structured_answer_filtering,
program_factory=program_factory,
verbose=verbose,
- # deprecated
- service_context=service_context,
)
elif response_mode == ResponseMode.COMPACT:
return CompactAndRefine(
@@ -102,8 +88,6 @@ def get_response_synthesizer(
structured_answer_filtering=structured_answer_filtering,
program_factory=program_factory,
verbose=verbose,
- # deprecated
- service_context=service_context,
)
elif response_mode == ResponseMode.TREE_SUMMARIZE:
return TreeSummarize(
@@ -115,8 +99,6 @@ def get_response_synthesizer(
streaming=streaming,
use_async=use_async,
verbose=verbose,
- # deprecated
- service_context=service_context,
)
elif response_mode == ResponseMode.SIMPLE_SUMMARIZE:
return SimpleSummarize(
@@ -125,8 +107,6 @@ def get_response_synthesizer(
prompt_helper=prompt_helper,
text_qa_template=text_qa_template,
streaming=streaming,
- # deprecated
- service_context=service_context,
)
elif response_mode == ResponseMode.GENERATION:
return Generation(
@@ -135,8 +115,6 @@ def get_response_synthesizer(
prompt_helper=prompt_helper,
simple_template=simple_template,
streaming=streaming,
- # deprecated
- service_context=service_context,
)
elif response_mode == ResponseMode.ACCUMULATE:
return Accumulate(
@@ -147,8 +125,6 @@ def get_response_synthesizer(
output_cls=output_cls,
streaming=streaming,
use_async=use_async,
- # deprecated
- service_context=service_context,
)
elif response_mode == ResponseMode.COMPACT_ACCUMULATE:
return CompactAndAccumulate(
@@ -159,22 +135,16 @@ def get_response_synthesizer(
output_cls=output_cls,
streaming=streaming,
use_async=use_async,
- # deprecated
- service_context=service_context,
)
elif response_mode == ResponseMode.NO_TEXT:
return NoText(
callback_manager=callback_manager,
streaming=streaming,
- # deprecated
- service_context=service_context,
)
elif response_mode == ResponseMode.CONTEXT_ONLY:
return ContextOnly(
callback_manager=callback_manager,
streaming=streaming,
- # deprecated
- service_context=service_context,
)
else:
raise ValueError(f"Unknown mode: {response_mode}")
diff --git a/llama-index-core/llama_index/core/response_synthesizers/generation.py b/llama-index-core/llama_index/core/response_synthesizers/generation.py
index e6f176017ec654582832ecc0df3075352c852f7a..72c51acf02176f3fa7c30c01661a24d2cdfc441c 100644
--- a/llama-index-core/llama_index/core/response_synthesizers/generation.py
+++ b/llama-index-core/llama_index/core/response_synthesizers/generation.py
@@ -2,34 +2,27 @@ from typing import Any, Optional, Sequence
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.indices.prompt_helper import PromptHelper
+from llama_index.core.llms import LLM
from llama_index.core.prompts import BasePromptTemplate
from llama_index.core.prompts.default_prompts import DEFAULT_SIMPLE_INPUT_PROMPT
from llama_index.core.prompts.mixin import PromptDictType
from llama_index.core.response_synthesizers.base import BaseSynthesizer
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.service_context_elements.llm_predictor import LLMPredictorType
from llama_index.core.types import RESPONSE_TEXT_TYPE
class Generation(BaseSynthesizer):
def __init__(
self,
- llm: Optional[LLMPredictorType] = None,
+ llm: Optional[LLM] = None,
callback_manager: Optional[CallbackManager] = None,
prompt_helper: Optional[PromptHelper] = None,
simple_template: Optional[BasePromptTemplate] = None,
streaming: bool = False,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> None:
- if service_context is not None:
- prompt_helper = service_context.prompt_helper
-
super().__init__(
llm=llm,
callback_manager=callback_manager,
prompt_helper=prompt_helper,
- service_context=service_context,
streaming=streaming,
)
self._input_prompt = simple_template or DEFAULT_SIMPLE_INPUT_PROMPT
diff --git a/llama-index-core/llama_index/core/response_synthesizers/refine.py b/llama-index-core/llama_index/core/response_synthesizers/refine.py
index ce48b153981d694c3c20de83feb5ceb0c5bf8089..cff9e9571c88d655fb0230e219013e94d87091bc 100644
--- a/llama-index-core/llama_index/core/response_synthesizers/refine.py
+++ b/llama-index-core/llama_index/core/response_synthesizers/refine.py
@@ -14,6 +14,7 @@ from llama_index.core.bridge.pydantic import BaseModel, Field, ValidationError
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.indices.prompt_helper import PromptHelper
from llama_index.core.indices.utils import truncate_text
+from llama_index.core.llms import LLM
from llama_index.core.prompts.base import BasePromptTemplate, PromptTemplate
from llama_index.core.prompts.default_prompt_selectors import (
DEFAULT_REFINE_PROMPT_SEL,
@@ -22,10 +23,6 @@ from llama_index.core.prompts.default_prompt_selectors import (
from llama_index.core.prompts.mixin import PromptDictType
from llama_index.core.response.utils import get_response_text, aget_response_text
from llama_index.core.response_synthesizers.base import BaseSynthesizer
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.service_context_elements.llm_predictor import (
- LLMPredictorType,
-)
from llama_index.core.types import RESPONSE_TEXT_TYPE, BasePydanticProgram
from llama_index.core.instrumentation.events.synthesis import (
GetResponseEndEvent,
@@ -61,9 +58,7 @@ class DefaultRefineProgram(BasePydanticProgram):
query_satisfied=True. In effect, doesn't do any answer filtering.
"""
- def __init__(
- self, prompt: BasePromptTemplate, llm: LLMPredictorType, output_cls: BaseModel
- ):
+ def __init__(self, prompt: BasePromptTemplate, llm: LLM, output_cls: BaseModel):
self._prompt = prompt
self._llm = llm
self._output_cls = output_cls
@@ -79,7 +74,7 @@ class DefaultRefineProgram(BasePydanticProgram):
self._prompt,
**kwds,
)
- answer = answer.json()
+ answer = answer.model_dump_json()
else:
answer = self._llm.predict(
self._prompt,
@@ -94,7 +89,7 @@ class DefaultRefineProgram(BasePydanticProgram):
self._prompt,
**kwds,
)
- answer = answer.json()
+ answer = answer.model_dump_json()
else:
answer = await self._llm.apredict(
self._prompt,
@@ -108,7 +103,7 @@ class Refine(BaseSynthesizer):
def __init__(
self,
- llm: Optional[LLMPredictorType] = None,
+ llm: Optional[LLM] = None,
callback_manager: Optional[CallbackManager] = None,
prompt_helper: Optional[PromptHelper] = None,
text_qa_template: Optional[BasePromptTemplate] = None,
@@ -120,17 +115,11 @@ class Refine(BaseSynthesizer):
program_factory: Optional[
Callable[[BasePromptTemplate], BasePydanticProgram]
] = None,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> None:
- if service_context is not None:
- prompt_helper = service_context.prompt_helper
-
super().__init__(
llm=llm,
callback_manager=callback_manager,
prompt_helper=prompt_helper,
- service_context=service_context,
streaming=streaming,
)
self._text_qa_template = text_qa_template or DEFAULT_TEXT_QA_PROMPT_SEL
@@ -191,7 +180,7 @@ class Refine(BaseSynthesizer):
prev_response = response
if isinstance(response, str):
if self._output_cls is not None:
- response = self._output_cls.parse_raw(response)
+ response = self._output_cls.model_validate_json(response)
else:
response = response or "Empty Response"
else:
@@ -372,7 +361,7 @@ class Refine(BaseSynthesizer):
response = "Empty Response"
if isinstance(response, str):
if self._output_cls is not None:
- response = self._output_cls.parse_raw(response)
+ response = self._output_cls.model_validate_json(response)
else:
response = response or "Empty Response"
else:
diff --git a/llama-index-core/llama_index/core/response_synthesizers/simple_summarize.py b/llama-index-core/llama_index/core/response_synthesizers/simple_summarize.py
index 159837d6edf9604bb94e3906f1bc61efac0690de..82a5495778ea25643ad58ba6a0478164a8706c5f 100644
--- a/llama-index-core/llama_index/core/response_synthesizers/simple_summarize.py
+++ b/llama-index-core/llama_index/core/response_synthesizers/simple_summarize.py
@@ -2,36 +2,29 @@ from typing import Any, Generator, Optional, Sequence, cast
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.indices.prompt_helper import PromptHelper
+from llama_index.core.llms import LLM
from llama_index.core.prompts import BasePromptTemplate
from llama_index.core.prompts.default_prompt_selectors import (
DEFAULT_TEXT_QA_PROMPT_SEL,
)
from llama_index.core.prompts.mixin import PromptDictType
from llama_index.core.response_synthesizers.base import BaseSynthesizer
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.service_context_elements.llm_predictor import LLMPredictorType
from llama_index.core.types import RESPONSE_TEXT_TYPE
class SimpleSummarize(BaseSynthesizer):
def __init__(
self,
- llm: Optional[LLMPredictorType] = None,
+ llm: Optional[LLM] = None,
callback_manager: Optional[CallbackManager] = None,
prompt_helper: Optional[PromptHelper] = None,
text_qa_template: Optional[BasePromptTemplate] = None,
streaming: bool = False,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> None:
- if service_context is not None:
- prompt_helper = service_context.prompt_helper
-
super().__init__(
llm=llm,
callback_manager=callback_manager,
prompt_helper=prompt_helper,
- service_context=service_context,
streaming=streaming,
)
self._text_qa_template = text_qa_template or DEFAULT_TEXT_QA_PROMPT_SEL
diff --git a/llama-index-core/llama_index/core/response_synthesizers/tree_summarize.py b/llama-index-core/llama_index/core/response_synthesizers/tree_summarize.py
index f623dc7b17e60c448d6cf619a38901adeaf32f48..3dfbde102228355b42b540ba41039234b974cd2c 100644
--- a/llama-index-core/llama_index/core/response_synthesizers/tree_summarize.py
+++ b/llama-index-core/llama_index/core/response_synthesizers/tree_summarize.py
@@ -4,14 +4,13 @@ from typing import Any, Optional, Sequence
from llama_index.core.async_utils import run_async_tasks
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.indices.prompt_helper import PromptHelper
+from llama_index.core.llms import LLM
from llama_index.core.prompts import BasePromptTemplate
from llama_index.core.prompts.default_prompt_selectors import (
DEFAULT_TREE_SUMMARIZE_PROMPT_SEL,
)
from llama_index.core.prompts.mixin import PromptDictType
from llama_index.core.response_synthesizers.base import BaseSynthesizer
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.service_context_elements.llm_predictor import LLMPredictorType
from llama_index.core.types import RESPONSE_TEXT_TYPE, BaseModel
@@ -30,7 +29,7 @@ class TreeSummarize(BaseSynthesizer):
def __init__(
self,
- llm: Optional[LLMPredictorType] = None,
+ llm: Optional[LLM] = None,
callback_manager: Optional[CallbackManager] = None,
prompt_helper: Optional[PromptHelper] = None,
summary_template: Optional[BasePromptTemplate] = None,
@@ -38,17 +37,11 @@ class TreeSummarize(BaseSynthesizer):
streaming: bool = False,
use_async: bool = False,
verbose: bool = False,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> None:
- if service_context is not None:
- prompt_helper = service_context.prompt_helper
-
super().__init__(
llm=llm,
callback_manager=callback_manager,
prompt_helper=prompt_helper,
- service_context=service_context,
streaming=streaming,
output_cls=output_cls,
)
@@ -130,7 +123,7 @@ class TreeSummarize(BaseSynthesizer):
summary_responses = await asyncio.gather(*tasks)
if self._output_cls is not None:
- summaries = [summary.json() for summary in summary_responses]
+ summaries = [summary.model_dump_json() for summary in summary_responses]
else:
summaries = summary_responses
@@ -207,7 +200,9 @@ class TreeSummarize(BaseSynthesizer):
summary_responses = run_async_tasks(tasks)
if self._output_cls is not None:
- summaries = [summary.json() for summary in summary_responses]
+ summaries = [
+ summary.model_dump_json() for summary in summary_responses
+ ]
else:
summaries = summary_responses
else:
@@ -230,7 +225,7 @@ class TreeSummarize(BaseSynthesizer):
)
for text_chunk in text_chunks
]
- summaries = [summary.json() for summary in summaries]
+ summaries = [summary.model_dump_json() for summary in summaries]
# recursively summarize the summaries
return self.get_response(
diff --git a/llama-index-core/llama_index/core/retrievers/router_retriever.py b/llama-index-core/llama_index/core/retrievers/router_retriever.py
index dbfbd74c0363c41283c5056a0530232b2d12ce16..9d73426628d7b8cc1f29adebc4f66286668a6781 100644
--- a/llama-index-core/llama_index/core/retrievers/router_retriever.py
+++ b/llama-index-core/llama_index/core/retrievers/router_retriever.py
@@ -11,12 +11,7 @@ from llama_index.core.llms.llm import LLM
from llama_index.core.prompts.mixin import PromptMixinType
from llama_index.core.schema import IndexNode, NodeWithScore, QueryBundle
from llama_index.core.selectors.utils import get_selector_from_llm
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
- Settings,
- callback_manager_from_settings_or_context,
- llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
from llama_index.core.tools.retriever_tool import RetrieverTool
logger = logging.getLogger(__name__)
@@ -41,20 +36,17 @@ class RouterRetriever(BaseRetriever):
selector: BaseSelector,
retriever_tools: Sequence[RetrieverTool],
llm: Optional[LLM] = None,
- service_context: Optional[ServiceContext] = None,
objects: Optional[List[IndexNode]] = None,
object_map: Optional[dict] = None,
verbose: bool = False,
) -> None:
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._selector = selector
self._retrievers: List[BaseRetriever] = [x.retriever for x in retriever_tools]
self._metadatas = [x.metadata for x in retriever_tools]
super().__init__(
- callback_manager=callback_manager_from_settings_or_context(
- Settings, service_context
- ),
+ callback_manager=Settings.callback_manager,
object_map=object_map,
objects=objects,
verbose=verbose,
@@ -70,18 +62,16 @@ class RouterRetriever(BaseRetriever):
cls,
retriever_tools: Sequence[RetrieverTool],
llm: Optional[LLM] = None,
- service_context: Optional[ServiceContext] = None,
selector: Optional[BaseSelector] = None,
select_multi: bool = False,
) -> "RouterRetriever":
- llm = llm or llm_from_settings_or_context(Settings, service_context)
+ llm = llm or Settings.llm
selector = selector or get_selector_from_llm(llm, is_multi=select_multi)
return cls(
selector,
retriever_tools,
llm=llm,
- service_context=service_context,
)
def _retrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]:
diff --git a/llama-index-core/llama_index/core/schema.py b/llama-index-core/llama_index/core/schema.py
index 78f6c4bf4f309d83997e448d74661c33b71d0962..dd3984b28bb56052599204c7cc6a9cd7e55a7f89 100644
--- a/llama-index-core/llama_index/core/schema.py
+++ b/llama-index-core/llama_index/core/schema.py
@@ -13,7 +13,16 @@ from io import BytesIO
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
from dataclasses_json import DataClassJsonMixin
-from llama_index.core.bridge.pydantic import BaseModel, Field
+from llama_index.core.bridge.pydantic import (
+ BaseModel,
+ Field,
+ GetJsonSchemaHandler,
+ SerializeAsAny,
+ JsonSchemaValue,
+ ConfigDict,
+ model_serializer,
+)
+from llama_index.core.bridge.pydantic_core import CoreSchema
from llama_index.core.instrumentation import DispatcherSpanMixin
from llama_index.core.utils import SAMPLE_TEXT, truncate_text
from typing_extensions import Self
@@ -39,15 +48,18 @@ logger = logging.getLogger(__name__)
class BaseComponent(BaseModel):
"""Base component object to capture class names."""
- class Config:
- @staticmethod
- def schema_extra(schema: Dict[str, Any], model: "BaseComponent") -> None:
- """Add class name to schema."""
- schema["properties"]["class_name"] = {
- "title": "Class Name",
- "type": "string",
- "default": model.class_name(),
- }
+ @classmethod
+ def __get_pydantic_json_schema__(
+ cls, core_schema: CoreSchema, handler: GetJsonSchemaHandler
+ ) -> JsonSchemaValue:
+ json_schema = handler(core_schema)
+ json_schema = handler.resolve_ref_schema(json_schema)
+ json_schema["properties"]["class_name"] = {
+ "title": "Class Name",
+ "type": "string",
+ "default": cls.class_name(),
+ }
+ return json_schema
@classmethod
def class_name(cls) -> str:
@@ -62,11 +74,15 @@ class BaseComponent(BaseModel):
def json(self, **kwargs: Any) -> str:
return self.to_json(**kwargs)
- def dict(self, **kwargs: Any) -> Dict[str, Any]:
- data = super().dict(**kwargs)
+ @model_serializer(mode="wrap")
+ def custom_model_dump(self, handler: Any) -> Dict[str, Any]:
+ data = handler(self)
data["class_name"] = self.class_name()
return data
+ def dict(self, **kwargs: Any) -> Dict[str, Any]:
+ return self.model_dump(**kwargs)
+
def __getstate__(self) -> Dict[str, Any]:
state = super().__getstate__()
@@ -84,15 +100,17 @@ class BaseComponent(BaseModel):
# remove private attributes if they aren't pickleable -- kind of dangerous
keys_to_remove = []
- for key, val in state["__private_attribute_values__"].items():
- try:
- pickle.dumps(val)
- except Exception:
- keys_to_remove.append(key)
-
- for key in keys_to_remove:
- logging.warning(f"Removing unpickleable private attribute {key}")
- del state["__private_attribute_values__"][key]
+ private_attrs = state.get("__pydantic_private__", None)
+ if private_attrs:
+ for key, val in state["__pydantic_private__"].items():
+ try:
+ pickle.dumps(val)
+ except Exception:
+ keys_to_remove.append(key)
+
+ for key in keys_to_remove:
+ logging.warning(f"Removing unpickleable private attribute {key}")
+ del state["__pydantic_private__"][key]
return state
@@ -133,8 +151,7 @@ class BaseComponent(BaseModel):
class TransformComponent(BaseComponent, DispatcherSpanMixin):
"""Base class for transform components."""
- class Config:
- arbitrary_types_allowed = True
+ model_config = ConfigDict(arbitrary_types_allowed=True)
@abstractmethod
def __call__(self, nodes: List["BaseNode"], **kwargs: Any) -> List["BaseNode"]:
@@ -200,10 +217,8 @@ class BaseNode(BaseComponent):
"""
- class Config:
- allow_population_by_field_name = True
- # hash is computed on local field, during the validation process
- validate_assignment = True
+ # hash is computed on local field, during the validation process
+ model_config = ConfigDict(populate_by_name=True, validate_assignment=True)
id_: str = Field(
default_factory=lambda: str(uuid.uuid4()), description="Unique ID of the node."
@@ -530,7 +545,7 @@ class IndexNode(TextNode):
elif isinstance(self.obj, BaseNode):
data["obj"] = doc_to_json(self.obj)
elif isinstance(self.obj, BaseModel):
- data["obj"] = self.obj.dict()
+ data["obj"] = self.obj.model_dump()
else:
data["obj"] = json.dumps(self.obj)
except Exception:
@@ -584,7 +599,7 @@ class IndexNode(TextNode):
class NodeWithScore(BaseComponent):
- node: BaseNode
+ node: SerializeAsAny[BaseNode]
score: Optional[float] = None
def __str__(self) -> str:
diff --git a/llama-index-core/llama_index/core/selectors/llm_selectors.py b/llama-index-core/llama_index/core/selectors/llm_selectors.py
index e9f32637ea72bac7e92e999ff0f1b55dd6c691af..b5b57cd776d80667bc2d083442de564adbb3f183 100644
--- a/llama-index-core/llama_index/core/selectors/llm_selectors.py
+++ b/llama-index-core/llama_index/core/selectors/llm_selectors.py
@@ -5,6 +5,7 @@ from llama_index.core.base.base_selector import (
SelectorResult,
SingleSelection,
)
+from llama_index.core.llms import LLM
from llama_index.core.output_parsers.base import StructuredOutput
from llama_index.core.output_parsers.selection import Answer, SelectionOutputParser
from llama_index.core.prompts.mixin import PromptDictType
@@ -16,11 +17,7 @@ from llama_index.core.selectors.prompts import (
MultiSelectPrompt,
SingleSelectPrompt,
)
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.service_context_elements.llm_predictor import (
- LLMPredictorType,
-)
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+from llama_index.core.settings import Settings
from llama_index.core.tools.types import ToolMetadata
from llama_index.core.types import BaseOutputParser
@@ -60,7 +57,7 @@ class LLMSingleSelector(BaseSelector):
def __init__(
self,
- llm: LLMPredictorType,
+ llm: LLM,
prompt: SingleSelectPrompt,
) -> None:
self._llm = llm
@@ -72,13 +69,12 @@ class LLMSingleSelector(BaseSelector):
@classmethod
def from_defaults(
cls,
- llm: Optional[LLMPredictorType] = None,
- service_context: Optional[ServiceContext] = None,
+ llm: Optional[LLM] = None,
prompt_template_str: Optional[str] = None,
output_parser: Optional[BaseOutputParser] = None,
) -> "LLMSingleSelector":
# optionally initialize defaults
- llm = llm or llm_from_settings_or_context(Settings, service_context)
+ llm = llm or Settings.llm
prompt_template_str = prompt_template_str or DEFAULT_SINGLE_SELECT_PROMPT_TMPL
output_parser = output_parser or SelectionOutputParser()
@@ -151,7 +147,7 @@ class LLMMultiSelector(BaseSelector):
def __init__(
self,
- llm: LLMPredictorType,
+ llm: LLM,
prompt: MultiSelectPrompt,
max_outputs: Optional[int] = None,
) -> None:
@@ -165,14 +161,12 @@ class LLMMultiSelector(BaseSelector):
@classmethod
def from_defaults(
cls,
- llm: Optional[LLMPredictorType] = None,
+ llm: Optional[LLM] = None,
prompt_template_str: Optional[str] = None,
output_parser: Optional[BaseOutputParser] = None,
max_outputs: Optional[int] = None,
- # deprecated
- service_context: Optional[ServiceContext] = None,
) -> "LLMMultiSelector":
- llm = llm or llm_from_settings_or_context(Settings, service_context)
+ llm = llm or Settings.llm
prompt_template_str = prompt_template_str or DEFAULT_MULTI_SELECT_PROMPT_TMPL
output_parser = output_parser or SelectionOutputParser()
diff --git a/llama-index-core/llama_index/core/service_context.py b/llama-index-core/llama_index/core/service_context.py
index 534b9016f35aa40aa83192eef6d6ba0dd892f027..6a657f5567845e2ed1b9a4f8b67933207213b230 100644
--- a/llama-index-core/llama_index/core/service_context.py
+++ b/llama-index-core/llama_index/core/service_context.py
@@ -1,411 +1,46 @@
-import logging
-from dataclasses import dataclass
-from typing import Any, List, Optional, cast
+from typing import Any, Optional
-from deprecated import deprecated
-import llama_index.core
-from llama_index.core.bridge.pydantic import BaseModel
-from llama_index.core.callbacks.base import CallbackManager
-from llama_index.core.base.embeddings.base import BaseEmbedding
-from llama_index.core.indices.prompt_helper import PromptHelper
-from llama_index.core.service_context_elements.llm_predictor import (
- LLMPredictor,
- BaseLLMPredictor,
-)
-from llama_index.core.base.llms.types import LLMMetadata
-from llama_index.core.llms.llm import LLM
-from llama_index.core.llms.utils import LLMType, resolve_llm
-from llama_index.core.service_context_elements.llama_logger import LlamaLogger
-from llama_index.core.node_parser.interface import NodeParser, TextSplitter
-from llama_index.core.node_parser.text.sentence import (
- DEFAULT_CHUNK_SIZE,
- SENTENCE_CHUNK_OVERLAP,
- SentenceSplitter,
-)
-from llama_index.core.prompts.base import BasePromptTemplate
-from llama_index.core.schema import TransformComponent
-from llama_index.core.types import PydanticProgramMode
-
-logger = logging.getLogger(__name__)
-
-
-def _get_default_node_parser(
- chunk_size: int = DEFAULT_CHUNK_SIZE,
- chunk_overlap: int = SENTENCE_CHUNK_OVERLAP,
- callback_manager: Optional[CallbackManager] = None,
-) -> NodeParser:
- """Get default node parser."""
- return SentenceSplitter(
- chunk_size=chunk_size,
- chunk_overlap=chunk_overlap,
- callback_manager=callback_manager or CallbackManager(),
- )
-
-
-def _get_default_prompt_helper(
- llm_metadata: LLMMetadata,
- context_window: Optional[int] = None,
- num_output: Optional[int] = None,
-) -> PromptHelper:
- """Get default prompt helper."""
- if context_window is not None:
- llm_metadata.context_window = context_window
- if num_output is not None:
- llm_metadata.num_output = num_output
- return PromptHelper.from_llm_metadata(llm_metadata=llm_metadata)
-
-
-class ServiceContextData(BaseModel):
- llm: dict
- llm_predictor: dict
- prompt_helper: dict
- embed_model: dict
- transformations: List[dict]
-
-
-@dataclass
class ServiceContext:
"""Service Context container.
- The service context container is a utility container for LlamaIndex
- index and query classes. It contains the following:
- - llm_predictor: BaseLLMPredictor
- - prompt_helper: PromptHelper
- - embed_model: BaseEmbedding
- - node_parser: NodeParser
- - llama_logger: LlamaLogger (deprecated)
- - callback_manager: CallbackManager
+ NOTE: Deprecated, use llama_index.settings.Settings instead or pass in
+ modules to local functions/methods/interfaces.
"""
- llm_predictor: BaseLLMPredictor
- prompt_helper: PromptHelper
- embed_model: BaseEmbedding
- transformations: List[TransformComponent]
- llama_logger: LlamaLogger
- callback_manager: CallbackManager
+ def __init__(self, **kwargs: Any) -> None:
+ raise ValueError(
+ "ServiceContext is deprecated. Use llama_index.settings.Settings instead, "
+ "or pass in modules to local functions/methods/interfaces.\n"
+ "See the docs for updated usage/migration: \n"
+ "https://docs.llamaindex.ai/en/stable/module_guides/supporting_modules/service_context_migration/"
+ )
@classmethod
- @deprecated(
- version="0.10.0",
- reason="ServiceContext is deprecated, please use `llama_index.settings.Settings` instead.",
- )
def from_defaults(
cls,
- llm_predictor: Optional[BaseLLMPredictor] = None,
- llm: Optional[LLMType] = "default",
- prompt_helper: Optional[PromptHelper] = None,
- embed_model: Optional[Any] = "default",
- node_parser: Optional[NodeParser] = None,
- text_splitter: Optional[TextSplitter] = None,
- transformations: Optional[List[TransformComponent]] = None,
- llama_logger: Optional[LlamaLogger] = None,
- callback_manager: Optional[CallbackManager] = None,
- system_prompt: Optional[str] = None,
- query_wrapper_prompt: Optional[BasePromptTemplate] = None,
- # pydantic program mode (used if output_cls is specified)
- pydantic_program_mode: PydanticProgramMode = PydanticProgramMode.DEFAULT,
- # node parser kwargs
- chunk_size: Optional[int] = None,
- chunk_overlap: Optional[int] = None,
- # prompt helper kwargs
- context_window: Optional[int] = None,
- num_output: Optional[int] = None,
- # deprecated kwargs
- chunk_size_limit: Optional[int] = None,
+ **kwargs: Any,
) -> "ServiceContext":
"""Create a ServiceContext from defaults.
- If an argument is specified, then use the argument value provided for that
- parameter. If an argument is not specified, then use the default value.
-
- You can change the base defaults by setting llama_index.global_service_context
- to a ServiceContext object with your desired settings.
- Args:
- llm_predictor (Optional[BaseLLMPredictor]): LLMPredictor
- prompt_helper (Optional[PromptHelper]): PromptHelper
- embed_model (Optional[BaseEmbedding]): BaseEmbedding
- or "local" (use local model)
- node_parser (Optional[NodeParser]): NodeParser
- llama_logger (Optional[LlamaLogger]): LlamaLogger (deprecated)
- chunk_size (Optional[int]): chunk_size
- callback_manager (Optional[CallbackManager]): CallbackManager
- system_prompt (Optional[str]): System-wide prompt to be prepended
- to all input prompts, used to guide system "decision making"
- query_wrapper_prompt (Optional[BasePromptTemplate]): A format to wrap
- passed-in input queries.
-
- Deprecated Args:
- chunk_size_limit (Optional[int]): renamed to chunk_size
+ NOTE: Deprecated, use llama_index.settings.Settings instead or pass in
+ modules to local functions/methods/interfaces.
"""
- from llama_index.core.embeddings.utils import EmbedType, resolve_embed_model
-
- embed_model = cast(EmbedType, embed_model)
-
- if chunk_size_limit is not None and chunk_size is None:
- logger.warning(
- "chunk_size_limit is deprecated, please specify chunk_size instead"
- )
- chunk_size = chunk_size_limit
-
- if llama_index.core.global_service_context is not None:
- return cls.from_service_context(
- llama_index.core.global_service_context,
- llm=llm,
- llm_predictor=llm_predictor,
- prompt_helper=prompt_helper,
- embed_model=embed_model,
- node_parser=node_parser,
- text_splitter=text_splitter,
- llama_logger=llama_logger,
- callback_manager=callback_manager,
- context_window=context_window,
- chunk_size=chunk_size,
- chunk_size_limit=chunk_size_limit,
- chunk_overlap=chunk_overlap,
- num_output=num_output,
- system_prompt=system_prompt,
- query_wrapper_prompt=query_wrapper_prompt,
- transformations=transformations,
- )
-
- callback_manager = callback_manager or CallbackManager([])
- if llm != "default":
- if llm_predictor is not None:
- raise ValueError("Cannot specify both llm and llm_predictor")
- llm = resolve_llm(llm)
- llm.system_prompt = llm.system_prompt or system_prompt
- llm.query_wrapper_prompt = llm.query_wrapper_prompt or query_wrapper_prompt
- llm.pydantic_program_mode = (
- llm.pydantic_program_mode or pydantic_program_mode
- )
-
- if llm_predictor is not None:
- print("LLMPredictor is deprecated, please use LLM instead.")
- llm_predictor = llm_predictor or LLMPredictor(
- llm=llm, pydantic_program_mode=pydantic_program_mode
- )
- if isinstance(llm_predictor, LLMPredictor):
- llm_predictor.llm.callback_manager = callback_manager
- if system_prompt:
- llm_predictor.system_prompt = system_prompt
- if query_wrapper_prompt:
- llm_predictor.query_wrapper_prompt = query_wrapper_prompt
-
- # NOTE: the embed_model isn't used in all indices
- # NOTE: embed model should be a transformation, but the way the service
- # context works, we can't put in there yet.
- embed_model = resolve_embed_model(embed_model)
- embed_model.callback_manager = callback_manager
-
- prompt_helper = prompt_helper or _get_default_prompt_helper(
- llm_metadata=llm_predictor.metadata,
- context_window=context_window,
- num_output=num_output,
- )
-
- if text_splitter is not None and node_parser is not None:
- raise ValueError("Cannot specify both text_splitter and node_parser")
-
- node_parser = (
- text_splitter # text splitter extends node parser
- or node_parser
- or _get_default_node_parser(
- chunk_size=chunk_size or DEFAULT_CHUNK_SIZE,
- chunk_overlap=chunk_overlap or SENTENCE_CHUNK_OVERLAP,
- callback_manager=callback_manager,
- )
- )
-
- transformations = transformations or [node_parser]
-
- llama_logger = llama_logger or LlamaLogger()
-
- return cls(
- llm_predictor=llm_predictor,
- embed_model=embed_model,
- prompt_helper=prompt_helper,
- transformations=transformations,
- llama_logger=llama_logger, # deprecated
- callback_manager=callback_manager,
- )
-
- @classmethod
- def from_service_context(
- cls,
- service_context: "ServiceContext",
- llm_predictor: Optional[BaseLLMPredictor] = None,
- llm: Optional[LLMType] = "default",
- prompt_helper: Optional[PromptHelper] = None,
- embed_model: Optional[Any] = "default",
- node_parser: Optional[NodeParser] = None,
- text_splitter: Optional[TextSplitter] = None,
- transformations: Optional[List[TransformComponent]] = None,
- llama_logger: Optional[LlamaLogger] = None,
- callback_manager: Optional[CallbackManager] = None,
- system_prompt: Optional[str] = None,
- query_wrapper_prompt: Optional[BasePromptTemplate] = None,
- # node parser kwargs
- chunk_size: Optional[int] = None,
- chunk_overlap: Optional[int] = None,
- # prompt helper kwargs
- context_window: Optional[int] = None,
- num_output: Optional[int] = None,
- # deprecated kwargs
- chunk_size_limit: Optional[int] = None,
- ) -> "ServiceContext":
- """Instantiate a new service context using a previous as the defaults."""
- from llama_index.core.embeddings.utils import EmbedType, resolve_embed_model
-
- embed_model = cast(EmbedType, embed_model)
-
- if chunk_size_limit is not None and chunk_size is None:
- logger.warning(
- "chunk_size_limit is deprecated, please specify chunk_size",
- DeprecationWarning,
- )
- chunk_size = chunk_size_limit
-
- callback_manager = callback_manager or service_context.callback_manager
- if llm != "default":
- if llm_predictor is not None:
- raise ValueError("Cannot specify both llm and llm_predictor")
- llm = resolve_llm(llm)
- llm_predictor = LLMPredictor(llm=llm)
-
- llm_predictor = llm_predictor or service_context.llm_predictor
- if isinstance(llm_predictor, LLMPredictor):
- llm_predictor.llm.callback_manager = callback_manager
- if system_prompt:
- llm_predictor.system_prompt = system_prompt
- if query_wrapper_prompt:
- llm_predictor.query_wrapper_prompt = query_wrapper_prompt
-
- # NOTE: the embed_model isn't used in all indices
- # default to using the embed model passed from the service context
- if embed_model == "default":
- embed_model = service_context.embed_model
- embed_model = resolve_embed_model(embed_model)
- embed_model.callback_manager = callback_manager
-
- prompt_helper = prompt_helper or service_context.prompt_helper
- if context_window is not None or num_output is not None:
- prompt_helper = _get_default_prompt_helper(
- llm_metadata=llm_predictor.metadata,
- context_window=context_window,
- num_output=num_output,
- )
-
- transformations = transformations or []
- node_parser_found = False
- for transform in service_context.transformations:
- if isinstance(transform, NodeParser):
- node_parser_found = True
- node_parser = transform
- break
-
- if text_splitter is not None and node_parser is not None:
- raise ValueError("Cannot specify both text_splitter and node_parser")
-
- if not node_parser_found:
- node_parser = (
- text_splitter # text splitter extends node parser
- or node_parser
- or _get_default_node_parser(
- chunk_size=chunk_size or DEFAULT_CHUNK_SIZE,
- chunk_overlap=chunk_overlap or SENTENCE_CHUNK_OVERLAP,
- callback_manager=callback_manager,
- )
- )
-
- transformations = transformations or service_context.transformations
-
- llama_logger = llama_logger or service_context.llama_logger
-
- return cls(
- llm_predictor=llm_predictor,
- embed_model=embed_model,
- prompt_helper=prompt_helper,
- transformations=transformations,
- llama_logger=llama_logger, # deprecated
- callback_manager=callback_manager,
- )
-
- @property
- def llm(self) -> LLM:
- return self.llm_predictor.llm
-
- @property
- def node_parser(self) -> NodeParser:
- """Get the node parser."""
- for transform in self.transformations:
- if isinstance(transform, NodeParser):
- return transform
- raise ValueError("No node parser found.")
-
- def to_dict(self) -> dict:
- """Convert service context to dict."""
- llm_dict = self.llm_predictor.llm.to_dict()
- llm_predictor_dict = self.llm_predictor.to_dict()
-
- embed_model_dict = self.embed_model.to_dict()
-
- prompt_helper_dict = self.prompt_helper.to_dict()
-
- tranform_list_dict = [x.to_dict() for x in self.transformations]
-
- return ServiceContextData(
- llm=llm_dict,
- llm_predictor=llm_predictor_dict,
- prompt_helper=prompt_helper_dict,
- embed_model=embed_model_dict,
- transformations=tranform_list_dict,
- ).dict()
-
- @classmethod
- def from_dict(cls, data: dict) -> "ServiceContext":
- from llama_index.core.embeddings.loading import load_embed_model
- from llama_index.core.extractors.loading import load_extractor
- from llama_index.core.node_parser.loading import load_parser
- from llama_index.core.service_context_elements.llm_predictor import (
- load_predictor,
- )
-
- service_context_data = ServiceContextData.parse_obj(data)
-
- llm_predictor = load_predictor(service_context_data.llm_predictor)
-
- embed_model = load_embed_model(service_context_data.embed_model)
-
- prompt_helper = PromptHelper.from_dict(service_context_data.prompt_helper)
-
- transformations: List[TransformComponent] = []
- for transform in service_context_data.transformations:
- try:
- transformations.append(load_parser(transform))
- except ValueError:
- transformations.append(load_extractor(transform))
-
- return cls.from_defaults(
- llm_predictor=llm_predictor,
- prompt_helper=prompt_helper,
- embed_model=embed_model,
- transformations=transformations,
+ raise ValueError(
+ "ServiceContext is deprecated. Use llama_index.settings.Settings instead, "
+ "or pass in modules to local functions/methods/interfaces.\n"
+ "See the docs for updated usage/migration: \n"
+ "https://docs.llamaindex.ai/en/stable/module_guides/supporting_modules/service_context_migration/"
)
def set_global_service_context(service_context: Optional[ServiceContext]) -> None:
"""Helper function to set the global service context."""
- llama_index.core.global_service_context = service_context
-
- if service_context is not None:
- from llama_index.core.settings import Settings
-
- Settings.llm = service_context.llm
- Settings.embed_model = service_context.embed_model
- Settings.prompt_helper = service_context.prompt_helper
- Settings.transformations = service_context.transformations
- Settings.node_parser = service_context.node_parser
- Settings.callback_manager = service_context.callback_manager
+ raise ValueError(
+ "ServiceContext is deprecated. Use llama_index.settings.Settings instead, "
+ "or pass in modules to local functions/methods/interfaces.\n"
+ "See the docs for updated usage/migration: \n"
+ "https://docs.llamaindex.ai/en/stable/module_guides/supporting_modules/service_context_migration/"
+ )
diff --git a/llama-index-core/llama_index/core/service_context_elements/llm_predictor.py b/llama-index-core/llama_index/core/service_context_elements/llm_predictor.py
index 40e1ae3a057ea2f0c01244730a81b9886be03c4c..47a851fce861c0d898c510b48c1e0c1e7a5115e0 100644
--- a/llama-index-core/llama_index/core/service_context_elements/llm_predictor.py
+++ b/llama-index-core/llama_index/core/service_context_elements/llm_predictor.py
@@ -2,30 +2,16 @@
import logging
from abc import ABC, abstractmethod
-from collections import ChainMap
-from typing import Any, Dict, List, Optional, Union
+from typing import Any, Dict
-from llama_index.core.base.llms.types import (
- ChatMessage,
- LLMMetadata,
- MessageRole,
-)
-from llama_index.core.bridge.pydantic import BaseModel, PrivateAttr
+from llama_index.core.base.llms.types import LLMMetadata
from llama_index.core.callbacks.base import CallbackManager
-from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.instrumentation import DispatcherSpanMixin
-from llama_index.core.llms.llm import (
- LLM,
- astream_chat_response_to_tokens,
- astream_completion_response_to_tokens,
- stream_chat_response_to_tokens,
- stream_completion_response_to_tokens,
-)
-from llama_index.core.llms.utils import LLMType, resolve_llm
-from llama_index.core.prompts.base import BasePromptTemplate, PromptTemplate
+from llama_index.core.llms.llm import LLM
+from llama_index.core.prompts.base import BasePromptTemplate
from llama_index.core.schema import BaseComponent
-from llama_index.core.types import PydanticProgramMode, TokenAsyncGen, TokenGen
-from typing_extensions import Self
+from llama_index.core.types import TokenAsyncGen, TokenGen
+
logger = logging.getLogger(__name__)
@@ -33,11 +19,16 @@ logger = logging.getLogger(__name__)
class BaseLLMPredictor(BaseComponent, DispatcherSpanMixin, ABC):
"""Base LLM Predictor."""
- def dict(self, **kwargs: Any) -> Dict[str, Any]:
- data = super().dict(**kwargs)
+ def model_dump(self, **kwargs: Any) -> Dict[str, Any]:
+ print("here", flush=True)
+ data = super().model_dump(**kwargs)
data["llm"] = self.llm.to_dict()
return data
+ def dict(self, **kwargs: Any) -> Dict[str, Any]:
+ """Keep for backwards compatibility."""
+ return self.model_dump(**kwargs)
+
def to_dict(self, **kwargs: Any) -> Dict[str, Any]:
data = super().to_dict(**kwargs)
data["llm"] = self.llm.to_dict()
@@ -80,276 +71,12 @@ class BaseLLMPredictor(BaseComponent, DispatcherSpanMixin, ABC):
class LLMPredictor(BaseLLMPredictor):
"""LLM predictor class.
- A lightweight wrapper on top of LLMs that handles:
- - conversion of prompts to the string input format expected by LLMs
- - logging of prompts and responses to a callback manager
-
- NOTE: Mostly keeping around for legacy reasons. A potential future path is to
- deprecate this class and move all functionality into the LLM class.
+ NOTE: Deprecated. Use any LLM class directly.
"""
- class Config:
- arbitrary_types_allowed = True
-
- system_prompt: Optional[str]
- query_wrapper_prompt: Optional[BasePromptTemplate]
- pydantic_program_mode: PydanticProgramMode = PydanticProgramMode.DEFAULT
-
- _llm: LLM = PrivateAttr()
-
def __init__(
self,
- llm: Optional[LLMType] = "default",
- callback_manager: Optional[CallbackManager] = None,
- system_prompt: Optional[str] = None,
- query_wrapper_prompt: Optional[BasePromptTemplate] = None,
- pydantic_program_mode: PydanticProgramMode = PydanticProgramMode.DEFAULT,
+ **kwargs: Any,
) -> None:
"""Initialize params."""
- self._llm = resolve_llm(llm, callback_manager=callback_manager)
-
- if callback_manager:
- self._llm.callback_manager = callback_manager
-
- super().__init__(
- system_prompt=system_prompt,
- query_wrapper_prompt=query_wrapper_prompt,
- pydantic_program_mode=pydantic_program_mode,
- )
-
- @classmethod
- def from_dict(cls, data: Dict[str, Any], **kwargs: Any) -> Self: # type: ignore
- if isinstance(kwargs, dict):
- data.update(kwargs)
-
- data.pop("class_name", None)
-
- llm = data.get("llm", "default")
- if llm != "default":
- from llama_index.core.llms.loading import load_llm
-
- llm = load_llm(llm)
-
- data["llm"] = llm
- return cls(**data)
-
- @classmethod
- def class_name(cls) -> str:
- return "LLMPredictor"
-
- @property
- def llm(self) -> LLM:
- """Get LLM."""
- return self._llm
-
- @property
- def callback_manager(self) -> CallbackManager:
- """Get callback manager."""
- return self._llm.callback_manager
-
- @callback_manager.setter
- def callback_manager(self, callback_manager: CallbackManager) -> None:
- """Set callback manager."""
- self._llm.callback_manager = callback_manager
-
- @property
- def metadata(self) -> LLMMetadata:
- """Get LLM metadata."""
- return self._llm.metadata
-
- def _log_template_data(
- self, prompt: BasePromptTemplate, **prompt_args: Any
- ) -> None:
- template_vars = {
- k: v
- for k, v in ChainMap(prompt.kwargs, prompt_args).items()
- if k in prompt.template_vars
- }
- with self.callback_manager.event(
- CBEventType.TEMPLATING,
- payload={
- EventPayload.TEMPLATE: prompt.get_template(llm=self._llm),
- EventPayload.TEMPLATE_VARS: template_vars,
- EventPayload.SYSTEM_PROMPT: self.system_prompt,
- EventPayload.QUERY_WRAPPER_PROMPT: self.query_wrapper_prompt,
- },
- ):
- pass
-
- def _run_program(
- self,
- output_cls: BaseModel,
- prompt: PromptTemplate,
- **prompt_args: Any,
- ) -> str:
- from llama_index.core.program.utils import get_program_for_llm
-
- program = get_program_for_llm(
- output_cls,
- prompt,
- self._llm,
- pydantic_program_mode=self.pydantic_program_mode,
- )
-
- chat_response = program(**prompt_args)
- return chat_response.json()
-
- async def _arun_program(
- self,
- output_cls: BaseModel,
- prompt: PromptTemplate,
- **prompt_args: Any,
- ) -> str:
- from llama_index.core.program.utils import get_program_for_llm
-
- program = get_program_for_llm(
- output_cls,
- prompt,
- self._llm,
- pydantic_program_mode=self.pydantic_program_mode,
- )
-
- chat_response = await program.acall(**prompt_args)
- return chat_response.json()
-
- def predict(
- self,
- prompt: BasePromptTemplate,
- output_cls: Optional[BaseModel] = None,
- **prompt_args: Any,
- ) -> str:
- """Predict."""
- self._log_template_data(prompt, **prompt_args)
-
- if output_cls is not None:
- output = self._run_program(output_cls, prompt, **prompt_args)
- elif self._llm.metadata.is_chat_model:
- messages = prompt.format_messages(llm=self._llm, **prompt_args)
- messages = self._extend_messages(messages)
- chat_response = self._llm.chat(messages)
- output = chat_response.message.content or ""
- else:
- formatted_prompt = prompt.format(llm=self._llm, **prompt_args)
- formatted_prompt = self._extend_prompt(formatted_prompt)
- response = self._llm.complete(formatted_prompt)
- output = response.text
-
- logger.debug(output)
-
- return output
-
- def stream(
- self,
- prompt: BasePromptTemplate,
- output_cls: Optional[BaseModel] = None,
- **prompt_args: Any,
- ) -> TokenGen:
- """Stream."""
- if output_cls is not None:
- raise NotImplementedError("Streaming with output_cls not supported.")
-
- self._log_template_data(prompt, **prompt_args)
-
- if self._llm.metadata.is_chat_model:
- messages = prompt.format_messages(llm=self._llm, **prompt_args)
- messages = self._extend_messages(messages)
- chat_response = self._llm.stream_chat(messages)
- stream_tokens = stream_chat_response_to_tokens(chat_response)
- else:
- formatted_prompt = prompt.format(llm=self._llm, **prompt_args)
- formatted_prompt = self._extend_prompt(formatted_prompt)
- stream_response = self._llm.stream_complete(formatted_prompt)
- stream_tokens = stream_completion_response_to_tokens(stream_response)
- return stream_tokens
-
- async def apredict(
- self,
- prompt: BasePromptTemplate,
- output_cls: Optional[BaseModel] = None,
- **prompt_args: Any,
- ) -> str:
- """Async predict."""
- self._log_template_data(prompt, **prompt_args)
-
- if output_cls is not None:
- output = await self._arun_program(output_cls, prompt, **prompt_args)
- elif self._llm.metadata.is_chat_model:
- messages = prompt.format_messages(llm=self._llm, **prompt_args)
- messages = self._extend_messages(messages)
- chat_response = await self._llm.achat(messages)
- output = chat_response.message.content or ""
- else:
- formatted_prompt = prompt.format(llm=self._llm, **prompt_args)
- formatted_prompt = self._extend_prompt(formatted_prompt)
- response = await self._llm.acomplete(formatted_prompt)
- output = response.text
-
- logger.debug(output)
-
- return output
-
- async def astream(
- self,
- prompt: BasePromptTemplate,
- output_cls: Optional[BaseModel] = None,
- **prompt_args: Any,
- ) -> TokenAsyncGen:
- """Async stream."""
- if output_cls is not None:
- raise NotImplementedError("Streaming with output_cls not supported.")
-
- self._log_template_data(prompt, **prompt_args)
-
- if self._llm.metadata.is_chat_model:
- messages = prompt.format_messages(llm=self._llm, **prompt_args)
- messages = self._extend_messages(messages)
- chat_response = await self._llm.astream_chat(messages)
- stream_tokens = await astream_chat_response_to_tokens(chat_response)
- else:
- formatted_prompt = prompt.format(llm=self._llm, **prompt_args)
- formatted_prompt = self._extend_prompt(formatted_prompt)
- stream_response = await self._llm.astream_complete(formatted_prompt)
- stream_tokens = await astream_completion_response_to_tokens(stream_response)
- return stream_tokens
-
- def _extend_prompt(
- self,
- formatted_prompt: str,
- ) -> str:
- """Add system and query wrapper prompts to base prompt."""
- extended_prompt = formatted_prompt
- if self.system_prompt:
- extended_prompt = self.system_prompt + "\n\n" + extended_prompt
-
- if self.query_wrapper_prompt:
- extended_prompt = self.query_wrapper_prompt.format(
- query_str=extended_prompt
- )
-
- return extended_prompt
-
- def _extend_messages(self, messages: List[ChatMessage]) -> List[ChatMessage]:
- """Add system prompt to chat message list."""
- if self.system_prompt:
- messages = [
- ChatMessage(role=MessageRole.SYSTEM, content=self.system_prompt),
- *messages,
- ]
- return messages
-
-
-LLMPredictorType = Union[LLMPredictor, LLM]
-
-
-def load_predictor(data: dict) -> BaseLLMPredictor:
- """Load predictor by class name."""
- if isinstance(data, BaseLLMPredictor):
- return data
- predictor_name = data.get("class_name", None)
- if predictor_name is None:
- raise ValueError("Predictor loading requires a class_name")
-
- if predictor_name == LLMPredictor.class_name():
- return LLMPredictor.from_dict(data)
- else:
- raise ValueError(f"Invalid predictor name: {predictor_name}")
+ raise ValueError("This class is deprecated. Use any LLM class directly.")
diff --git a/llama-index-core/llama_index/core/settings.py b/llama-index-core/llama_index/core/settings.py
index c280f8a88effde69c6eb563ef2686b6ab93c1571..ea4a4916c8dabc3291d8e54c8ca486ca67ccf5f7 100644
--- a/llama-index-core/llama_index/core/settings.py
+++ b/llama-index-core/llama_index/core/settings.py
@@ -1,8 +1,5 @@
from dataclasses import dataclass
-from typing import TYPE_CHECKING, Any, Callable, List, Optional
-
-if TYPE_CHECKING:
- from llama_index.core.service_context import ServiceContext
+from typing import Any, Callable, List, Optional
from llama_index.core.base.embeddings.base import BaseEmbedding
@@ -249,56 +246,3 @@ class _Settings:
# Singleton
Settings = _Settings()
-
-
-# -- Helper functions for deprecation/migration --
-
-
-def llm_from_settings_or_context(
- settings: _Settings, context: Optional["ServiceContext"]
-) -> LLM:
- """Get settings from either settings or context."""
- if context is not None:
- return context.llm
-
- return settings.llm
-
-
-def embed_model_from_settings_or_context(
- settings: _Settings, context: Optional["ServiceContext"]
-) -> BaseEmbedding:
- """Get settings from either settings or context."""
- if context is not None:
- return context.embed_model
-
- return settings.embed_model
-
-
-def callback_manager_from_settings_or_context(
- settings: _Settings, context: Optional["ServiceContext"]
-) -> CallbackManager:
- """Get settings from either settings or context."""
- if context is not None:
- return context.callback_manager
-
- return settings.callback_manager
-
-
-def node_parser_from_settings_or_context(
- settings: _Settings, context: Optional["ServiceContext"]
-) -> NodeParser:
- """Get settings from either settings or context."""
- if context is not None:
- return context.node_parser
-
- return settings.node_parser
-
-
-def transformations_from_settings_or_context(
- settings: _Settings, context: Optional["ServiceContext"]
-) -> List[TransformComponent]:
- """Get settings from either settings or context."""
- if context is not None:
- return context.transformations
-
- return settings.transformations
diff --git a/llama-index-core/llama_index/core/storage/chat_store/simple_chat_store.py b/llama-index-core/llama_index/core/storage/chat_store/simple_chat_store.py
index 47c6a3172cbe6fee65885c7ad9cd3a9c746bb8e1..fe3aee03908c325e43bb23211ab008198ce56ecf 100644
--- a/llama-index-core/llama_index/core/storage/chat_store/simple_chat_store.py
+++ b/llama-index-core/llama_index/core/storage/chat_store/simple_chat_store.py
@@ -1,17 +1,35 @@
import json
import os
-from typing import Dict, List, Optional
+from typing import Any, Dict, List, Optional
+from typing_extensions import Annotated
import fsspec
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, WrapSerializer
from llama_index.core.llms import ChatMessage
from llama_index.core.storage.chat_store.base import BaseChatStore
+def chat_message_serialization(chat_message: Any, handler, info) -> Dict[str, Any]:
+ partial_result = handler(chat_message, info)
+
+ for key, value in partial_result.get("additional_kwargs", {}).items():
+ value = chat_message._recursive_serialization(value)
+ if not isinstance(value, (str, int, float, bool, dict, list, type(None))):
+ raise ValueError(f"Failed to serialize additional_kwargs value: {value}")
+ partial_result["additional_kwargs"][key] = value
+
+ return partial_result
+
+
+AnnotatedChatMessage = Annotated[
+ ChatMessage, WrapSerializer(chat_message_serialization)
+]
+
+
class SimpleChatStore(BaseChatStore):
"""Simple chat store."""
- store: Dict[str, List[ChatMessage]] = Field(default_factory=dict)
+ store: Dict[str, List[AnnotatedChatMessage]] = Field(default_factory=dict)
@classmethod
def class_name(cls) -> str:
@@ -85,4 +103,4 @@ class SimpleChatStore(BaseChatStore):
return cls()
with fs.open(persist_path, "r") as f:
data = json.load(f)
- return cls.parse_raw(data)
+ return cls.model_validate_json(data)
diff --git a/llama-index-core/llama_index/core/storage/docstore/utils.py b/llama-index-core/llama_index/core/storage/docstore/utils.py
index a95e9d44c8744645753858456cd5304c1ad7c89d..212e5c6908d3b807aef266ef01f91c4c7515a02f 100644
--- a/llama-index-core/llama_index/core/storage/docstore/utils.py
+++ b/llama-index-core/llama_index/core/storage/docstore/utils.py
@@ -54,7 +54,7 @@ def legacy_json_to_doc(doc_dict: dict) -> BaseNode:
relationships = data_dict.get("relationships", {})
relationships = {
- NodeRelationship(k): RelatedNodeInfo(node_id=v)
+ NodeRelationship(k): RelatedNodeInfo(node_id=str(v))
for k, v in relationships.items()
}
diff --git a/llama-index-core/llama_index/core/storage/storage_context.py b/llama-index-core/llama_index/core/storage/storage_context.py
index c60cf705c38647d4dd8697977c5392279b229f0f..8b43721bbf4759207c83e18fb81749420cf4d1fa 100644
--- a/llama-index-core/llama_index/core/storage/storage_context.py
+++ b/llama-index-core/llama_index/core/storage/storage_context.py
@@ -42,6 +42,7 @@ from llama_index.core.vector_stores.simple import (
from llama_index.core.vector_stores.types import (
BasePydanticVectorStore,
)
+from llama_index.core.bridge.pydantic import SerializeAsAny
DEFAULT_PERSIST_DIR = "./storage"
IMAGE_STORE_FNAME = "image_store.json"
@@ -64,7 +65,7 @@ class StorageContext:
docstore: BaseDocumentStore
index_store: BaseIndexStore
- vector_stores: Dict[str, BasePydanticVectorStore]
+ vector_stores: Dict[str, SerializeAsAny[BasePydanticVectorStore]]
graph_store: GraphStore
property_graph_store: Optional[PropertyGraphStore] = None
@@ -229,9 +230,11 @@ class StorageContext:
DOC_STORE_KEY: self.docstore.to_dict(),
INDEX_STORE_KEY: self.index_store.to_dict(),
GRAPH_STORE_KEY: self.graph_store.to_dict(),
- PG_STORE_KEY: self.property_graph_store.to_dict()
- if self.property_graph_store
- else None,
+ PG_STORE_KEY: (
+ self.property_graph_store.to_dict()
+ if self.property_graph_store
+ else None
+ ),
}
@classmethod
diff --git a/llama-index-core/llama_index/core/tools/query_plan.py b/llama-index-core/llama_index/core/tools/query_plan.py
index c8d75706df4bd03c59d49b79e904582bdcd10f7d..7cd1fffc2616047b2270a456a01ac61302db0a0e 100644
--- a/llama-index-core/llama_index/core/tools/query_plan.py
+++ b/llama-index-core/llama_index/core/tools/query_plan.py
@@ -148,7 +148,7 @@ class QueryPlanTool(BaseTool):
self, node: QueryNode, nodes_dict: Dict[int, QueryNode]
) -> ToolOutput:
"""Execute node."""
- print_text(f"Executing node {node.json()}\n", color="blue")
+ print_text(f"Executing node {node.model_dump_json()}\n", color="blue")
if len(node.dependencies) > 0:
print_text(
f"Executing {len(node.dependencies)} child nodes\n", color="pink"
diff --git a/llama-index-core/llama_index/core/tools/retriever_tool.py b/llama-index-core/llama_index/core/tools/retriever_tool.py
index dd35cfdffcd58f95e1cfce9ddf8f6da074e695b4..45aa51f3ab98854cbf909dc832744bb071759b4f 100644
--- a/llama-index-core/llama_index/core/tools/retriever_tool.py
+++ b/llama-index-core/llama_index/core/tools/retriever_tool.py
@@ -80,7 +80,7 @@ class RetrieverTool(AsyncBaseTool):
docs = self._apply_node_postprocessors(docs, QueryBundle(query_str))
content = ""
for doc in docs:
- node_copy = doc.node.copy()
+ node_copy = doc.node.model_copy()
node_copy.text_template = "{metadata_str}\n{content}"
node_copy.metadata_template = "{key} = {value}"
content += node_copy.get_content(MetadataMode.LLM) + "\n\n"
@@ -105,7 +105,7 @@ class RetrieverTool(AsyncBaseTool):
content = ""
docs = self._apply_node_postprocessors(docs, QueryBundle(query_str))
for doc in docs:
- node_copy = doc.node.copy()
+ node_copy = doc.node.model_copy()
node_copy.text_template = "{metadata_str}\n{content}"
node_copy.metadata_template = "{key} = {value}"
content += node_copy.get_content(MetadataMode.LLM) + "\n\n"
diff --git a/llama-index-core/llama_index/core/tools/types.py b/llama-index-core/llama_index/core/tools/types.py
index 0899b7cafd1d2ded4e94ad9cd23d3df86990f058..e965777560ea14a81fadf7a31837ffa3a035c99b 100644
--- a/llama-index-core/llama_index/core/tools/types.py
+++ b/llama-index-core/llama_index/core/tools/types.py
@@ -34,7 +34,7 @@ class ToolMetadata:
"required": ["input"],
}
else:
- parameters = self.fn_schema.schema()
+ parameters = self.fn_schema.model_json_schema()
parameters = {
k: v
for k, v in parameters.items()
diff --git a/llama-index-core/llama_index/core/types.py b/llama-index-core/llama_index/core/types.py
index 0ef86cdb58c0068ca4fff23834d627f3d98ad9bb..226444e2b892e4fa23663208a05ca204d4225d09 100644
--- a/llama-index-core/llama_index/core/types.py
+++ b/llama-index-core/llama_index/core/types.py
@@ -16,7 +16,12 @@ from typing import (
)
from llama_index.core.base.llms.types import ChatMessage, MessageRole
-from llama_index.core.bridge.pydantic import BaseModel
+from llama_index.core.bridge.pydantic import (
+ BaseModel,
+ GetCoreSchemaHandler,
+ GetJsonSchemaHandler,
+)
+from llama_index.core.bridge.pydantic_core import CoreSchema, core_schema
from llama_index.core.instrumentation import DispatcherSpanMixin
Model = TypeVar("Model", bound=BaseModel)
@@ -31,11 +36,6 @@ RESPONSE_TEXT_TYPE = Union[BaseModel, str, TokenGen, TokenAsyncGen]
class BaseOutputParser(DispatcherSpanMixin, ABC):
"""Output parser class."""
- @classmethod
- def __modify_schema__(cls, schema: Dict[str, Any]) -> None:
- """Avoids serialization issues."""
- schema.update(type="object", default={})
-
@abstractmethod
def parse(self, output: str) -> Any:
"""Parse, validate, and correct errors programmatically."""
@@ -56,6 +56,19 @@ class BaseOutputParser(DispatcherSpanMixin, ABC):
return messages
+ @classmethod
+ def __get_pydantic_core_schema__(
+ cls, source: Type[Any], handler: GetCoreSchemaHandler
+ ) -> CoreSchema:
+ return core_schema.any_schema()
+
+ @classmethod
+ def __get_pydantic_json_schema__(
+ cls, core_schema: CoreSchema, handler: GetJsonSchemaHandler
+ ) -> Dict[str, Any]:
+ json_schema = handler(core_schema)
+ return handler.resolve_ref_schema(json_schema)
+
class BasePydanticProgram(DispatcherSpanMixin, ABC, Generic[Model]):
"""A base class for LLM-powered function that return a pydantic model.
diff --git a/llama-index-core/llama_index/core/vector_stores/types.py b/llama-index-core/llama_index/core/vector_stores/types.py
index 22012fd76ec5de7aab9c491e542ab78e3fd86ad4..f6e67f2a8c3017dc2492a2b0dfcab820ff816aa5 100644
--- a/llama-index-core/llama_index/core/vector_stores/types.py
+++ b/llama-index-core/llama_index/core/vector_stores/types.py
@@ -1,4 +1,5 @@
"""Vector store index types."""
+
from abc import ABC, abstractmethod
from dataclasses import dataclass
from enum import Enum
@@ -17,6 +18,7 @@ import fsspec
from deprecated import deprecated
from llama_index.core.bridge.pydantic import (
BaseModel,
+ ConfigDict,
StrictFloat,
StrictInt,
StrictStr,
@@ -118,7 +120,7 @@ class MetadataFilter(BaseModel):
filter_dict: Dict with key, value and operator.
"""
- return MetadataFilter.parse_obj(filter_dict)
+ return MetadataFilter.model_validate(filter_dict)
# # TODO: Deprecate ExactMatchFilter and use MetadataFilter instead
@@ -319,12 +321,10 @@ class VectorStore(Protocol):
class BasePydanticVectorStore(BaseComponent, ABC):
"""Abstract vector store protocol."""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
stores_text: bool
is_embedding_query: bool = True
- class Config:
- arbitrary_types_allowed = True
-
@property
@abstractmethod
def client(self) -> Any:
diff --git a/llama-index-core/llama_index/core/workflow/events.py b/llama-index-core/llama_index/core/workflow/events.py
index 3935d5ca08b46b3b65164cb2195b712dce0abb91..974f961360ef70028da270f2bf83860c2ec336f0 100644
--- a/llama-index-core/llama_index/core/workflow/events.py
+++ b/llama-index-core/llama_index/core/workflow/events.py
@@ -1,6 +1,6 @@
from typing import Any, Dict, Type
-from llama_index.core.bridge.pydantic import BaseModel, Field, PrivateAttr
+from llama_index.core.bridge.pydantic import BaseModel, Field, PrivateAttr, ConfigDict
class Event(BaseModel):
@@ -11,6 +11,7 @@ class Event(BaseModel):
Examples:
Basic example usage
+
```python
from llama_index.core.workflows.events import Event
@@ -24,6 +25,7 @@ class Event(BaseModel):
```
Custom event with additional Fields/PrivateAttr
+
```python
from llama_index.core.workflows.events import Event
from llama_index.core.bridge.pydantic import Field, PrivateAttr
@@ -43,11 +45,9 @@ class Event(BaseModel):
```
"""
+ model_config = ConfigDict(arbitrary_types_allowed=True)
_data: Dict[str, Any] = PrivateAttr(default_factory=dict)
- class Config:
- arbitrary_types_allowed = True
-
def __init__(self, **params: Any):
"""__init__.
@@ -58,7 +58,7 @@ class Event(BaseModel):
private_attrs = {}
data = {}
for k, v in params.items():
- if k in self.__fields__:
+ if k in self.model_fields:
fields[k] = v
elif k in self.__private_attributes__:
private_attrs[k] = v
@@ -70,7 +70,7 @@ class Event(BaseModel):
self._data = data
def __getattr__(self, __name: str) -> Any:
- if __name in self.__private_attributes__ or __name in self.__fields__:
+ if __name in self.__private_attributes__ or __name in self.model_fields:
return super().__getattr__(__name)
else:
try:
@@ -81,7 +81,7 @@ class Event(BaseModel):
)
def __setattr__(self, name, value) -> None:
- if name in self.__private_attributes__ or name in self.__fields__:
+ if name in self.__private_attributes__ or name in self.model_fields:
super().__setattr__(name, value)
else:
self._data.__setitem__(name, value)
diff --git a/llama-index-core/poetry.lock b/llama-index-core/poetry.lock
index d5124cfac7255acb9cb93ac6e2e0204cdb149d2f..bb272c089811cb62b0a4227506a29cc2a5d29477 100644
--- a/llama-index-core/poetry.lock
+++ b/llama-index-core/poetry.lock
@@ -1,99 +1,114 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
[[package]]
name = "aiohappyeyeballs"
-version = "2.3.5"
+version = "2.4.0"
description = "Happy Eyeballs for asyncio"
optional = false
python-versions = ">=3.8"
files = [
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- {file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"},
+ {file = "aiohappyeyeballs-2.4.0-py3-none-any.whl", hash = "sha256:7ce92076e249169a13c2f49320d1967425eaf1f407522d707d59cac7628d62bd"},
+ {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"},
]
[[package]]
name = "aiohttp"
-version = "3.10.3"
+version = "3.10.5"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
files = [
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name = "anyio"
version = "4.4.0"
@@ -306,43 +335,42 @@ files = [
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name = "attrs"
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description = "Classes Without Boilerplate"
optional = false
python-versions = ">=3.7"
files = [
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name = "autodoc-pydantic"
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description = "Seamlessly integrate pydantic models in your Sphinx documentation."
optional = false
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files = [
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Sphinx = ">=3.4"
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[[package]]
name = "babel"
@@ -500,6 +528,48 @@ urllib3 = [
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crt = ["awscrt (==0.19.17)"]
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[[package]]
name = "certifi"
version = "2024.7.4"
@@ -762,6 +832,22 @@ traitlets = ">=4"
[package.extras]
test = ["pytest"]
+[[package]]
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name = "coverage"
version = "7.6.1"
@@ -1471,13 +1557,13 @@ files = [
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description = "Read metadata from Python packages"
optional = false
python-versions = ">=3.8"
files = [
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[[package]]
name = "importlib-resources"
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description = "Read resources from Python packages"
optional = false
python-versions = ">=3.8"
files = [
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name = "iniconfig"
@@ -1590,21 +1680,21 @@ test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pa
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optional = false
python-versions = ">=3.7"
files = [
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[[package]]
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version = "0.9.25"
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[[package]]
name = "jupyterlab-widgets"
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description = "Jupyter interactive widgets for JupyterLab"
optional = false
python-versions = ">=3.7"
files = [
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[[package]]
name = "llama-cloud"
-version = "0.0.13"
+version = "0.0.14"
description = ""
optional = false
python-versions = "<4,>=3.8"
files = [
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@@ -2465,13 +2575,13 @@ files = [
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]
[package.dependencies]
@@ -4367,19 +4552,19 @@ win32 = ["pywin32"]
[[package]]
name = "setuptools"
-version = "72.1.0"
+version = "73.0.1"
description = "Easily download, build, install, upgrade, and uninstall Python packages"
optional = false
python-versions = ">=3.8"
files = [
- {file = "setuptools-72.1.0-py3-none-any.whl", hash = "sha256:5a03e1860cf56bb6ef48ce186b0e557fdba433237481a9a625176c2831be15d1"},
- {file = "setuptools-72.1.0.tar.gz", hash = "sha256:8d243eff56d095e5817f796ede6ae32941278f542e0f941867cc05ae52b162ec"},
+ {file = "setuptools-73.0.1-py3-none-any.whl", hash = "sha256:b208925fcb9f7af924ed2dc04708ea89791e24bde0d3020b27df0e116088b34e"},
+ {file = "setuptools-73.0.1.tar.gz", hash = "sha256:d59a3e788ab7e012ab2c4baed1b376da6366883ee20d7a5fc426816e3d7b1193"},
]
[package.extras]
-core = ["importlib-metadata (>=6)", "importlib-resources (>=5.10.2)", "jaraco.text (>=3.7)", "more-itertools (>=8.8)", "ordered-set (>=3.1.1)", "packaging (>=24)", "platformdirs (>=2.6.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
-doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
-test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "mypy (==1.11.*)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (<0.4)", "pytest-ruff (>=0.2.1)", "pytest-ruff (>=0.3.2)", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
+core = ["importlib-metadata (>=6)", "importlib-resources (>=5.10.2)", "jaraco.text (>=3.7)", "more-itertools (>=8.8)", "packaging (>=24)", "platformdirs (>=2.6.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "mypy (==1.11.*)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (<0.4)", "pytest-ruff (>=0.2.1)", "pytest-ruff (>=0.3.2)", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
[[package]]
name = "six"
@@ -4416,13 +4601,13 @@ files = [
[[package]]
name = "soupsieve"
-version = "2.5"
+version = "2.6"
description = "A modern CSS selector implementation for Beautiful Soup."
optional = false
python-versions = ">=3.8"
files = [
- {file = "soupsieve-2.5-py3-none-any.whl", hash = "sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7"},
- {file = "soupsieve-2.5.tar.gz", hash = "sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690"},
+ {file = "soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9"},
+ {file = "soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb"},
]
[[package]]
@@ -4699,17 +4884,13 @@ files = [
{file = "SQLAlchemy-2.0.32-cp312-cp312-win32.whl", hash = "sha256:31983018b74908ebc6c996a16ad3690301a23befb643093fcfe85efd292e384d"},
{file = "SQLAlchemy-2.0.32-cp312-cp312-win_amd64.whl", hash = "sha256:4363ed245a6231f2e2957cccdda3c776265a75851f4753c60f3004b90e69bfeb"},
{file = "SQLAlchemy-2.0.32-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:b8afd5b26570bf41c35c0121801479958b4446751a3971fb9a480c1afd85558e"},
- {file = "SQLAlchemy-2.0.32-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c750987fc876813f27b60d619b987b057eb4896b81117f73bb8d9918c14f1cad"},
{file = "SQLAlchemy-2.0.32-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ada0102afff4890f651ed91120c1120065663506b760da4e7823913ebd3258be"},
- {file = "SQLAlchemy-2.0.32-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:78c03d0f8a5ab4f3034c0e8482cfcc415a3ec6193491cfa1c643ed707d476f16"},
{file = "SQLAlchemy-2.0.32-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:3bd1cae7519283ff525e64645ebd7a3e0283f3c038f461ecc1c7b040a0c932a1"},
{file = "SQLAlchemy-2.0.32-cp37-cp37m-win32.whl", hash = "sha256:01438ebcdc566d58c93af0171c74ec28efe6a29184b773e378a385e6215389da"},
{file = "SQLAlchemy-2.0.32-cp37-cp37m-win_amd64.whl", hash = "sha256:4979dc80fbbc9d2ef569e71e0896990bc94df2b9fdbd878290bd129b65ab579c"},
{file = "SQLAlchemy-2.0.32-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6c742be912f57586ac43af38b3848f7688863a403dfb220193a882ea60e1ec3a"},
{file = "SQLAlchemy-2.0.32-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:62e23d0ac103bcf1c5555b6c88c114089587bc64d048fef5bbdb58dfd26f96da"},
- {file = "SQLAlchemy-2.0.32-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:251f0d1108aab8ea7b9aadbd07fb47fb8e3a5838dde34aa95a3349876b5a1f1d"},
{file = "SQLAlchemy-2.0.32-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0ef18a84e5116340e38eca3e7f9eeaaef62738891422e7c2a0b80feab165905f"},
- {file = "SQLAlchemy-2.0.32-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:3eb6a97a1d39976f360b10ff208c73afb6a4de86dd2a6212ddf65c4a6a2347d5"},
{file = "SQLAlchemy-2.0.32-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:0c1c9b673d21477cec17ab10bc4decb1322843ba35b481585facd88203754fc5"},
{file = "SQLAlchemy-2.0.32-cp38-cp38-win32.whl", hash = "sha256:c41a2b9ca80ee555decc605bd3c4520cc6fef9abde8fd66b1cf65126a6922d65"},
{file = "SQLAlchemy-2.0.32-cp38-cp38-win_amd64.whl", hash = "sha256:8a37e4d265033c897892279e8adf505c8b6b4075f2b40d77afb31f7185cd6ecd"},
@@ -4726,7 +4907,7 @@ files = [
]
[package.dependencies]
-greenlet = {version = "!=0.4.17", optional = true, markers = "python_version < \"3.13\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\") or extra == \"asyncio\""}
+greenlet = {version = "!=0.4.17", optional = true, markers = "python_version < \"3.13\" and (platform_machine == \"win32\" or platform_machine == \"WIN32\" or platform_machine == \"AMD64\" or platform_machine == \"amd64\" or platform_machine == \"x86_64\" or platform_machine == \"ppc64le\" or platform_machine == \"aarch64\") or extra == \"asyncio\""}
typing-extensions = ">=4.6.0"
[package.extras]
@@ -4917,13 +5098,13 @@ files = [
[[package]]
name = "tomlkit"
-version = "0.13.0"
+version = "0.13.2"
description = "Style preserving TOML library"
optional = false
python-versions = ">=3.8"
files = [
- {file = "tomlkit-0.13.0-py3-none-any.whl", hash = "sha256:7075d3042d03b80f603482d69bf0c8f345c2b30e41699fd8883227f89972b264"},
- {file = "tomlkit-0.13.0.tar.gz", hash = "sha256:08ad192699734149f5b97b45f1f18dad7eb1b6d16bc72ad0c2335772650d7b72"},
+ {file = "tomlkit-0.13.2-py3-none-any.whl", hash = "sha256:7a974427f6e119197f670fbbbeae7bef749a6c14e793db934baefc1b5f03efde"},
+ {file = "tomlkit-0.13.2.tar.gz", hash = "sha256:fff5fe59a87295b278abd31bec92c15d9bc4a06885ab12bcea52c71119392e79"},
]
[[package]]
@@ -5072,6 +5253,21 @@ files = [
[package.dependencies]
tree-sitter = "*"
+[[package]]
+name = "typeguard"
+version = "2.13.3"
+description = "Run-time type checker for Python"
+optional = false
+python-versions = ">=3.5.3"
+files = [
+ {file = "typeguard-2.13.3-py3-none-any.whl", hash = "sha256:5e3e3be01e887e7eafae5af63d1f36c849aaa94e3a0112097312aabfa16284f1"},
+ {file = "typeguard-2.13.3.tar.gz", hash = "sha256:00edaa8da3a133674796cf5ea87d9f4b4c367d77476e185e80251cc13dfbb8c4"},
+]
+
+[package.extras]
+doc = ["sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["mypy", "pytest", "typing-extensions"]
+
[[package]]
name = "types-cffi"
version = "1.16.0.20240331"
@@ -5136,13 +5332,13 @@ types-cffi = "*"
[[package]]
name = "types-python-dateutil"
-version = "2.9.0.20240316"
+version = "2.9.0.20240821"
description = "Typing stubs for python-dateutil"
optional = false
python-versions = ">=3.8"
files = [
- {file = "types-python-dateutil-2.9.0.20240316.tar.gz", hash = "sha256:5d2f2e240b86905e40944dd787db6da9263f0deabef1076ddaed797351ec0202"},
- {file = "types_python_dateutil-2.9.0.20240316-py3-none-any.whl", hash = "sha256:6b8cb66d960771ce5ff974e9dd45e38facb81718cc1e208b10b1baccbfdbee3b"},
+ {file = "types-python-dateutil-2.9.0.20240821.tar.gz", hash = "sha256:9649d1dcb6fef1046fb18bebe9ea2aa0028b160918518c34589a46045f6ebd98"},
+ {file = "types_python_dateutil-2.9.0.20240821-py3-none-any.whl", hash = "sha256:f5889fcb4e63ed4aaa379b44f93c32593d50b9a94c9a60a0c854d8cc3511cd57"},
]
[[package]]
@@ -5310,18 +5506,21 @@ zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "vellum-ai"
-version = "0.0.42"
+version = "0.7.11"
description = ""
optional = false
-python-versions = ">=3.7,<4.0"
+python-versions = "<4.0,>=3.8"
files = [
- {file = "vellum_ai-0.0.42-py3-none-any.whl", hash = "sha256:ce2d9147097a4d654a7a4b150abfd6ff4a27e35ad83b440b760c44499b85b4e1"},
- {file = "vellum_ai-0.0.42.tar.gz", hash = "sha256:df603fd508a5be04e5eda88a112513ab6c780be4b80e0658ccf4e5fd25195d9b"},
+ {file = "vellum_ai-0.7.11-py3-none-any.whl", hash = "sha256:3e6807cce99f034521360c076ea80123dc8bef89bfcb895f83c581d4b5955cbd"},
+ {file = "vellum_ai-0.7.11.tar.gz", hash = "sha256:fa9b77da06a873362eadd8476874dbf4dc6dcb9a77aa8795f5cd2c8f4a50e701"},
]
[package.dependencies]
+cdktf = ">=0.20.5,<0.21.0"
httpx = ">=0.21.2"
-pydantic = ">=1.9.2,<2.0.0"
+publication = "0.0.3"
+pydantic = ">=1.9.2"
+typing_extensions = ">=4.0.0"
[[package]]
name = "virtualenv"
@@ -5398,13 +5597,13 @@ test = ["websockets"]
[[package]]
name = "widgetsnbextension"
-version = "4.0.11"
+version = "4.0.13"
description = "Jupyter interactive widgets for Jupyter Notebook"
optional = false
python-versions = ">=3.7"
files = [
- {file = "widgetsnbextension-4.0.11-py3-none-any.whl", hash = "sha256:55d4d6949d100e0d08b94948a42efc3ed6dfdc0e9468b2c4b128c9a2ce3a7a36"},
- {file = "widgetsnbextension-4.0.11.tar.gz", hash = "sha256:8b22a8f1910bfd188e596fe7fc05dcbd87e810c8a4ba010bdb3da86637398474"},
+ {file = "widgetsnbextension-4.0.13-py3-none-any.whl", hash = "sha256:74b2692e8500525cc38c2b877236ba51d34541e6385eeed5aec15a70f88a6c71"},
+ {file = "widgetsnbextension-4.0.13.tar.gz", hash = "sha256:ffcb67bc9febd10234a362795f643927f4e0c05d9342c727b65d2384f8feacb6"},
]
[[package]]
@@ -5591,13 +5790,13 @@ multidict = ">=4.0"
[[package]]
name = "zipp"
-version = "3.19.2"
+version = "3.20.0"
description = "Backport of pathlib-compatible object wrapper for zip files"
optional = false
python-versions = ">=3.8"
files = [
- {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
- {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
+ {file = "zipp-3.20.0-py3-none-any.whl", hash = "sha256:58da6168be89f0be59beb194da1250516fdaa062ccebd30127ac65d30045e10d"},
+ {file = "zipp-3.20.0.tar.gz", hash = "sha256:0145e43d89664cfe1a2e533adc75adafed82fe2da404b4bbb6b026c0157bdb31"},
]
[package.extras]
@@ -5607,4 +5806,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
-content-hash = "7b336cec71bc78815d550c0db47a5aad8e832a9ea0de5bae4bdf46cbf7caf919"
+content-hash = "eb6df85ec43515589690f26e8bf203c461822419637b16041f32e9183f09edb5"
diff --git a/llama-index-core/pyproject.toml b/llama-index-core/pyproject.toml
index 9a0b212d299cc74708c0500bee890d3a1628fe5e..0277d581f664e3bdb667135ef2ed0d1974b7f734 100644
--- a/llama-index-core/pyproject.toml
+++ b/llama-index-core/pyproject.toml
@@ -28,7 +28,7 @@ description = "Interface between LLMs and your data"
documentation = "https://docs.llamaindex.ai/en/stable/"
exclude = ["**/BUILD"]
homepage = "https://llamaindex.ai"
-include = ["llama_index/core/_static/nltk_cache/corpora/stopwords/*", "llama_index/core/_static/nltk_cache/tokenizers/punkt/*", "llama_index/core/_static/nltk_cache/tokenizers/punkt/PY3/*", "llama_index/core/_static/tiktoken_cache/*"]
+include = ["llama_index/core/_static/nltk_cache/corpora/stopwords/*", "llama_index/core/_static/nltk_cache/tokenizers/punkt_tab/*", "llama_index/core/_static/tiktoken_cache/*"]
keywords = ["LLM", "NLP", "RAG", "data", "devtools", "index", "retrieval"]
license = "MIT"
maintainers = [
@@ -43,7 +43,7 @@ name = "llama-index-core"
packages = [{include = "llama_index"}]
readme = "README.md"
repository = "https://github.com/run-llama/llama_index"
-version = "0.10.68.post1"
+version = "0.11.0.post1"
[tool.poetry.dependencies]
SQLAlchemy = {extras = ["asyncio"], version = ">=1.4.49"}
@@ -52,10 +52,8 @@ deprecated = ">=1.2.9.3"
fsspec = ">=2023.5.0"
httpx = "*"
nest-asyncio = "^1.5.8"
-nltk = ">=3.8.1,!=3.9" # Should be >= 3.8.2 but nltk removed 3.8.2 from pypi, 3.9 is broken
+nltk = ">3.8.1"
numpy = "<2.0.0" # Pin until we adapt to Numpy v2
-pandas = "*"
-pydantic = "<3.0"
python = ">=3.8.1,<4.0"
tenacity = ">=8.2.0,!=8.4.0,<9.0.0" # Avoid 8.4.0 which lacks tenacity.asyncio
tiktoken = ">=0.3.3"
@@ -69,6 +67,7 @@ tqdm = "^4.66.1"
pillow = ">=9.0.0"
PyYAML = ">=6.0.1"
wrapt = "*"
+pydantic = ">=2.0.0,<3.0.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = ">=23.7.0,<=24.3.0"}
@@ -82,6 +81,7 @@ llama-cloud = ">=0.0.6"
motor = "^3.3.2"
mypy = "0.991"
openai = "*"
+pandas = "*"
pre-commit = "3.2.0"
pylint = "2.15.10"
pypdf = "*"
@@ -100,7 +100,7 @@ types-protobuf = "^4.24.0.4"
types-redis = "4.5.5.0"
types-requests = ">=2.28.11.8" # TODO: unpin when mypy>0.991
types-setuptools = "67.1.0.0"
-vellum-ai = "^0.0.42"
+vellum-ai = "^0.7.8"
[tool.poetry.group.docs]
optional = true
diff --git a/llama-index-core/tests/agent/react/test_react_agent.py b/llama-index-core/tests/agent/react/test_react_agent.py
index f853847eba71d258047730b7e4a7407cf73493c8..53f2aa7ba505577f76c5b231b1b49289bdf5dadf 100644
--- a/llama-index-core/tests/agent/react/test_react_agent.py
+++ b/llama-index-core/tests/agent/react/test_react_agent.py
@@ -35,11 +35,10 @@ class MockChatLLM(MockLLM):
_responses: List[ChatMessage] = PrivateAttr()
def __init__(self, responses: List[ChatMessage]) -> None:
+ super().__init__()
self._i = 0 # call counter, determines which response to return
self._responses = responses # list of responses to return
- super().__init__()
-
def chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse:
del messages # unused
response = ChatResponse(
@@ -141,11 +140,10 @@ class MockStreamChatLLM(MockLLM):
_responses: List[ChatMessage] = PrivateAttr()
def __init__(self, responses: List[ChatMessage]) -> None:
+ super().__init__()
self._i = 0 # call counter, determines which response to return
self._responses = responses # list of responses to return
- super().__init__()
-
def stream_chat(
self, messages: Sequence[ChatMessage], **kwargs: Any
) -> ChatResponseGen:
diff --git a/llama-index-core/tests/agent/runner/test_base.py b/llama-index-core/tests/agent/runner/test_base.py
index 2650a2874a948e3fb6b07db814c4ec2215f9bb41..dfde698f35de8994a895e0d145938bbd5360fbc4 100644
--- a/llama-index-core/tests/agent/runner/test_base.py
+++ b/llama-index-core/tests/agent/runner/test_base.py
@@ -1,7 +1,7 @@
"""Test agent executor."""
import uuid
-from typing import Any, cast
+from typing import Any, List, cast
import llama_index.core.instrumentation as instrument
from llama_index.core.agent.runner.base import AgentRunner
from llama_index.core.agent.runner.parallel import ParallelAgentRunner
@@ -27,7 +27,7 @@ dispatcher = instrument.get_dispatcher()
class _TestEventHandler(BaseEventHandler):
- events = []
+ events: List[BaseEvent] = []
@classmethod
def class_name(cls):
diff --git a/llama-index-core/tests/agent/runner/test_planner.py b/llama-index-core/tests/agent/runner/test_planner.py
index 185974291ccb96ee0f7a9c823e84f772e146e984..70221f494bb0c5e9f37600570da79b79878c8e8d 100644
--- a/llama-index-core/tests/agent/runner/test_planner.py
+++ b/llama-index-core/tests/agent/runner/test_planner.py
@@ -36,7 +36,7 @@ class MockLLM(CustomLLM):
dependencies=["one", "two"],
),
]
- ).json()
+ ).model_dump_json()
return CompletionResponse(text=text)
# dummy response for react
diff --git a/llama-index-core/tests/chat_engine/test_condense_plus_context.py b/llama-index-core/tests/chat_engine/test_condense_plus_context.py
index a7fe2e8e67c1af7c37e60e482a64233bc2025d7e..8a64ed4bbb8e04c700d746fc698cffa3753aae35 100644
--- a/llama-index-core/tests/chat_engine/test_condense_plus_context.py
+++ b/llama-index-core/tests/chat_engine/test_condense_plus_context.py
@@ -5,7 +5,6 @@ from llama_index.core.chat_engine.condense_plus_context import (
CondensePlusContextChatEngine,
)
from llama_index.core.indices.base_retriever import BaseRetriever
-from llama_index.core.indices.service_context import ServiceContext
from llama_index.core.llms.mock import MockLLM
from llama_index.core.memory.chat_memory_buffer import ChatMemoryBuffer
from llama_index.core.prompts import BasePromptTemplate
@@ -21,9 +20,7 @@ def override_predict(self: Any, prompt: BasePromptTemplate, **prompt_args: Any)
"predict",
override_predict,
)
-def test_condense_plus_context_chat_engine(
- mock_service_context: ServiceContext,
-) -> None:
+def test_condense_plus_context_chat_engine(mock_llm) -> None:
mock_retriever = Mock(spec=BaseRetriever)
def source_url(query: str) -> str:
@@ -61,9 +58,7 @@ def test_condense_plus_context_chat_engine(
engine = CondensePlusContextChatEngine(
retriever=mock_retriever,
llm=MockLLM(),
- memory=ChatMemoryBuffer.from_defaults(
- chat_history=[], llm=mock_service_context.llm
- ),
+ memory=ChatMemoryBuffer.from_defaults(chat_history=[], llm=mock_llm),
context_prompt=context_prompt,
condense_prompt=condense_prompt,
)
diff --git a/llama-index-core/tests/chat_engine/test_condense_question.py b/llama-index-core/tests/chat_engine/test_condense_question.py
index 15a040b3ccffee7b5af5faf84e88fe89c8e0ab4e..0a40ca975619c1cf3c1fc0ef22b9b3a04cce53ab 100644
--- a/llama-index-core/tests/chat_engine/test_condense_question.py
+++ b/llama-index-core/tests/chat_engine/test_condense_question.py
@@ -6,18 +6,12 @@ from llama_index.core.base.response.schema import Response
from llama_index.core.chat_engine.condense_question import (
CondenseQuestionChatEngine,
)
-from llama_index.core.service_context import ServiceContext
-def test_condense_question_chat_engine(
- mock_service_context: ServiceContext,
-) -> None:
+def test_condense_question_chat_engine(patch_llm_predictor) -> None:
query_engine = Mock(spec=BaseQueryEngine)
query_engine.query.side_effect = lambda x: Response(response=x)
- engine = CondenseQuestionChatEngine.from_defaults(
- query_engine=query_engine,
- service_context=mock_service_context,
- )
+ engine = CondenseQuestionChatEngine.from_defaults(query_engine=query_engine)
engine.reset()
response = engine.chat("Test message 1")
@@ -36,22 +30,17 @@ def test_condense_question_chat_engine(
assert str(response) == "Test message 3"
-def test_condense_question_chat_engine_with_init_history(
- mock_service_context: ServiceContext,
-) -> None:
+def test_condense_question_chat_engine_with_init_history(patch_llm_predictor) -> None:
query_engine = Mock(spec=BaseQueryEngine)
query_engine.query.side_effect = lambda x: Response(response=x)
engine = CondenseQuestionChatEngine.from_defaults(
query_engine=query_engine,
- service_context=mock_service_context,
chat_history=[
ChatMessage(role=MessageRole.USER, content="test human message"),
ChatMessage(role=MessageRole.ASSISTANT, content="test ai message"),
],
)
- print(engine.chat_history)
-
response = engine.chat("new human message")
assert str(response) == (
"{'question': 'new human message', 'chat_history': 'user: test human "
diff --git a/llama-index-core/tests/chat_engine/test_simple.py b/llama-index-core/tests/chat_engine/test_simple.py
index 0551a09a01f622f6cf81f16968d12409bf758468..20dd816a52591e75190f276ccceb48ab37a48ea2 100644
--- a/llama-index-core/tests/chat_engine/test_simple.py
+++ b/llama-index-core/tests/chat_engine/test_simple.py
@@ -1,12 +1,9 @@
from llama_index.core.base.llms.types import ChatMessage, MessageRole
from llama_index.core.chat_engine.simple import SimpleChatEngine
-from llama_index.core.service_context import ServiceContext
-def test_simple_chat_engine(
- mock_service_context: ServiceContext,
-) -> None:
- engine = SimpleChatEngine.from_defaults(service_context=mock_service_context)
+def test_simple_chat_engine() -> None:
+ engine = SimpleChatEngine.from_defaults()
engine.reset()
response = engine.chat("Test message 1")
@@ -24,11 +21,8 @@ def test_simple_chat_engine(
assert str(response) == "user: Test message 3\nassistant: "
-def test_simple_chat_engine_with_init_history(
- mock_service_context: ServiceContext,
-) -> None:
+def test_simple_chat_engine_with_init_history() -> None:
engine = SimpleChatEngine.from_defaults(
- service_context=mock_service_context,
chat_history=[
ChatMessage(role=MessageRole.USER, content="test human message"),
ChatMessage(role=MessageRole.ASSISTANT, content="test ai message"),
diff --git a/llama-index-core/tests/conftest.py b/llama-index-core/tests/conftest.py
index 0338aae68f452bc773a0696643b694d545590fd5..0b990f66aebae40614af432e379ab05a203fa3fc 100644
--- a/llama-index-core/tests/conftest.py
+++ b/llama-index-core/tests/conftest.py
@@ -1,15 +1,16 @@
import os
# import socket
-from typing import Any, List, Optional
+from typing import List, Optional
import openai
import pytest
from llama_index.core.base.llms.types import LLMMetadata
from llama_index.core.llms.mock import MockLLM
from llama_index.core.node_parser.text import SentenceSplitter, TokenTextSplitter
-from llama_index.core.service_context import ServiceContext
from llama_index.core.service_context_elements.llm_predictor import LLMPredictor
+from llama_index.core.settings import _Settings
+
from tests.indices.vector_store.mock_services import MockEmbedding
from tests.mock_utils.mock_predict import (
patch_llmpredictor_apredict,
@@ -94,16 +95,24 @@ def patch_llm_predictor(monkeypatch: pytest.MonkeyPatch) -> None:
@pytest.fixture()
-def mock_service_context(
- patch_token_text_splitter: Any,
- patch_llm_predictor: Any,
-) -> ServiceContext:
- return ServiceContext.from_defaults(embed_model=MockEmbedding())
+def mock_llm() -> MockLLM:
+ return MockLLM()
@pytest.fixture()
-def mock_llm() -> MockLLM:
- return MockLLM()
+def mock_embed_model():
+ return MockEmbedding()
+
+
+@pytest.fixture()
+def mock_settings():
+ from llama_index.core import Settings
+
+ old = Settings
+ Settings = _Settings()
+ Settings.embed_model = MockEmbedding()
+ yield Settings
+ Settings = old
@pytest.fixture(autouse=True)
diff --git a/llama-index-core/tests/indices/document_summary/conftest.py b/llama-index-core/tests/indices/document_summary/conftest.py
index 1bf605d87cdc512edceb3b773fe669747075f0de..3e5093c1d1fca3ef30e104c029e16678f11efc2a 100644
--- a/llama-index-core/tests/indices/document_summary/conftest.py
+++ b/llama-index-core/tests/indices/document_summary/conftest.py
@@ -4,7 +4,6 @@ import pytest
from llama_index.core.indices.document_summary.base import DocumentSummaryIndex
from llama_index.core.response_synthesizers import get_response_synthesizer
from llama_index.core.schema import Document
-from llama_index.core.service_context import ServiceContext
from tests.mock_utils.mock_prompts import MOCK_REFINE_PROMPT, MOCK_TEXT_QA_PROMPT
@@ -20,17 +19,15 @@ def docs() -> List[Document]:
@pytest.fixture()
def index(
- docs: List[Document], mock_service_context: ServiceContext
+ docs: List[Document], patch_llm_predictor, mock_embed_model
) -> DocumentSummaryIndex:
response_synthesizer = get_response_synthesizer(
- llm=mock_service_context.llm,
text_qa_template=MOCK_TEXT_QA_PROMPT,
refine_template=MOCK_REFINE_PROMPT,
- callback_manager=mock_service_context.callback_manager,
)
return DocumentSummaryIndex.from_documents(
docs,
- service_context=mock_service_context,
response_synthesizer=response_synthesizer,
summary_query="summary_query",
+ embed_model=mock_embed_model,
)
diff --git a/llama-index-core/tests/indices/document_summary/test_retrievers.py b/llama-index-core/tests/indices/document_summary/test_retrievers.py
index adaa6e4eec3462663a9dd01a6ff34a121bb6adca..2c2f0e171ed8d8d2c06153d73f800ddcf9416b93 100644
--- a/llama-index-core/tests/indices/document_summary/test_retrievers.py
+++ b/llama-index-core/tests/indices/document_summary/test_retrievers.py
@@ -1,4 +1,5 @@
"""Test document summary retrievers."""
+
from llama_index.core.indices.document_summary.base import (
DocumentSummaryIndex,
DocumentSummaryRetrieverMode,
@@ -9,9 +10,7 @@ from llama_index.core.indices.document_summary.retrievers import (
)
-def test_embedding_retriever(
- index: DocumentSummaryIndex,
-) -> None:
+def test_embedding_retriever(index: DocumentSummaryIndex) -> None:
retriever = index.as_retriever()
assert isinstance(retriever, DocumentSummaryIndexEmbeddingRetriever)
results = retriever.retrieve("Test query")
diff --git a/llama-index-core/tests/indices/empty/test_base.py b/llama-index-core/tests/indices/empty/test_base.py
index 1d58a0937392df710c33e11cc8d069e1b500d068..0a53642115bb39e8f719aae1e7a0dcf857b71d80 100644
--- a/llama-index-core/tests/indices/empty/test_base.py
+++ b/llama-index-core/tests/indices/empty/test_base.py
@@ -2,14 +2,11 @@
from llama_index.core.data_structs.data_structs import EmptyIndexStruct
from llama_index.core.indices.empty.base import EmptyIndex
-from llama_index.core.service_context import ServiceContext
-def test_empty(
- mock_service_context: ServiceContext,
-) -> None:
+def test_empty() -> None:
"""Test build list."""
- empty_index = EmptyIndex(service_context=mock_service_context)
+ empty_index = EmptyIndex()
assert isinstance(empty_index.index_struct, EmptyIndexStruct)
retriever = empty_index.as_retriever()
diff --git a/llama-index-core/tests/indices/keyword_table/test_base.py b/llama-index-core/tests/indices/keyword_table/test_base.py
index d64c1de3a51a585ed407854bd46afd885f5c76d5..e2a663cf88e83623182a40b6e67b48d8f0e8393d 100644
--- a/llama-index-core/tests/indices/keyword_table/test_base.py
+++ b/llama-index-core/tests/indices/keyword_table/test_base.py
@@ -8,7 +8,6 @@ from llama_index.core.indices.keyword_table.simple_base import (
SimpleKeywordTableIndex,
)
from llama_index.core.schema import Document
-from llama_index.core.service_context import ServiceContext
from tests.mock_utils.mock_utils import mock_extract_keywords
@@ -29,16 +28,12 @@ def documents() -> List[Document]:
"llama_index.core.indices.keyword_table.simple_base.simple_extract_keywords",
mock_extract_keywords,
)
-def test_build_table(
- documents: List[Document], mock_service_context: ServiceContext
-) -> None:
+def test_build_table(documents: List[Document], patch_token_text_splitter) -> None:
"""Test build table."""
# test simple keyword table
# NOTE: here the keyword extraction isn't mocked because we're using
# the regex-based keyword extractor, not GPT
- table = SimpleKeywordTableIndex.from_documents(
- documents, service_context=mock_service_context
- )
+ table = SimpleKeywordTableIndex.from_documents(documents)
nodes = table.docstore.get_nodes(list(table.index_struct.node_ids))
table_chunks = {n.get_content() for n in nodes}
assert len(table_chunks) == 4
@@ -67,17 +62,13 @@ def test_build_table(
mock_extract_keywords,
)
def test_build_table_async(
- allow_networking: Any,
- documents: List[Document],
- mock_service_context: ServiceContext,
+ allow_networking: Any, documents: List[Document], patch_token_text_splitter
) -> None:
"""Test build table."""
# test simple keyword table
# NOTE: here the keyword extraction isn't mocked because we're using
# the regex-based keyword extractor, not GPT
- table = SimpleKeywordTableIndex.from_documents(
- documents, use_async=True, service_context=mock_service_context
- )
+ table = SimpleKeywordTableIndex.from_documents(documents, use_async=True)
nodes = table.docstore.get_nodes(list(table.index_struct.node_ids))
table_chunks = {n.get_content() for n in nodes}
assert len(table_chunks) == 4
@@ -105,12 +96,9 @@ def test_build_table_async(
"llama_index.core.indices.keyword_table.simple_base.simple_extract_keywords",
mock_extract_keywords,
)
-def test_insert(
- documents: List[Document],
- mock_service_context: ServiceContext,
-) -> None:
+def test_insert(documents: List[Document], patch_token_text_splitter) -> None:
"""Test insert."""
- table = SimpleKeywordTableIndex([], service_context=mock_service_context)
+ table = SimpleKeywordTableIndex([])
assert len(table.index_struct.table.keys()) == 0
table.insert(documents[0])
nodes = table.docstore.get_nodes(list(table.index_struct.node_ids))
@@ -144,7 +132,12 @@ def test_insert(
chunk_index2_1 = next(iter(table.index_struct.table["test"]))
chunk_index2_2 = next(iter(table.index_struct.table["v3"]))
nodes = table.docstore.get_nodes(
- [chunk_index1_1, chunk_index1_2, chunk_index2_1, chunk_index2_2]
+ [
+ chunk_index1_1,
+ chunk_index1_2,
+ chunk_index2_1,
+ chunk_index2_2,
+ ]
)
assert nodes[0].ref_doc_id == "test_id1"
assert nodes[1].ref_doc_id == "test_id1"
@@ -156,9 +149,7 @@ def test_insert(
"llama_index.core.indices.keyword_table.simple_base.simple_extract_keywords",
mock_extract_keywords,
)
-def test_delete(
- mock_service_context: ServiceContext,
-) -> None:
+def test_delete(patch_token_text_splitter) -> None:
"""Test insert."""
new_documents = [
Document(text="Hello world.\nThis is a test.", id_="test_id_1"),
@@ -167,9 +158,7 @@ def test_delete(
]
# test delete
- table = SimpleKeywordTableIndex.from_documents(
- new_documents, service_context=mock_service_context
- )
+ table = SimpleKeywordTableIndex.from_documents(new_documents)
# test delete
table.delete_ref_doc("test_id_1")
assert len(table.index_struct.table.keys()) == 6
@@ -180,9 +169,7 @@ def test_delete(
node_texts = {n.get_content() for n in nodes}
assert node_texts == {"This is another test.", "This is a test v2."}
- table = SimpleKeywordTableIndex.from_documents(
- new_documents, service_context=mock_service_context
- )
+ table = SimpleKeywordTableIndex.from_documents(new_documents)
# test ref doc info
all_ref_doc_info = table.ref_doc_info
diff --git a/llama-index-core/tests/indices/keyword_table/test_retrievers.py b/llama-index-core/tests/indices/keyword_table/test_retrievers.py
index 3677dcc984b4b169ebd6c41a43e63e1a2c7dc2e7..9b5211e3d99163003d826dc5bf35cec0375a035a 100644
--- a/llama-index-core/tests/indices/keyword_table/test_retrievers.py
+++ b/llama-index-core/tests/indices/keyword_table/test_retrievers.py
@@ -5,7 +5,6 @@ from llama_index.core.indices.keyword_table.simple_base import (
SimpleKeywordTableIndex,
)
from llama_index.core.schema import Document, QueryBundle
-from llama_index.core.service_context import ServiceContext
from tests.mock_utils.mock_utils import mock_extract_keywords
@@ -18,17 +17,17 @@ from tests.mock_utils.mock_utils import mock_extract_keywords
mock_extract_keywords,
)
def test_retrieve(
- documents: List[Document], mock_service_context: ServiceContext
+ documents: List[Document], mock_embed_model, patch_token_text_splitter
) -> None:
"""Test query."""
# test simple keyword table
# NOTE: here the keyword extraction isn't mocked because we're using
# the regex-based keyword extractor, not GPT
- table = SimpleKeywordTableIndex.from_documents(
- documents, service_context=mock_service_context
- )
+ table = SimpleKeywordTableIndex.from_documents(documents)
- retriever = table.as_retriever(retriever_mode="simple")
+ retriever = table.as_retriever(
+ retriever_mode="simple", embed_model=mock_embed_model
+ )
nodes = retriever.retrieve(QueryBundle("Hello"))
assert len(nodes) == 1
assert nodes[0].node.get_content() == "Hello world."
diff --git a/llama-index-core/tests/indices/knowledge_graph/test_base.py b/llama-index-core/tests/indices/knowledge_graph/test_base.py
index c8d76276bf49ffc227b1286ab3c5742fbce36f40..e9dde2497f20daded7d5d62c1880e47450d311df 100644
--- a/llama-index-core/tests/indices/knowledge_graph/test_base.py
+++ b/llama-index-core/tests/indices/knowledge_graph/test_base.py
@@ -7,7 +7,6 @@ import pytest
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.indices.knowledge_graph.base import KnowledgeGraphIndex
from llama_index.core.schema import Document, TextNode
-from llama_index.core.service_context import ServiceContext
from tests.mock_utils.mock_prompts import (
MOCK_KG_TRIPLET_EXTRACT_PROMPT,
MOCK_QUERY_KEYWORD_EXTRACT_PROMPT,
@@ -84,12 +83,9 @@ def mock_extract_triplets(text: str) -> List[Tuple[str, str, str]]:
@patch.object(
KnowledgeGraphIndex, "_extract_triplets", side_effect=mock_extract_triplets
)
-def test_build_kg_manual(
- _patch_extract_triplets: Any,
- mock_service_context: ServiceContext,
-) -> None:
+def test_build_kg_manual(_patch_extract_triplets: Any) -> None:
"""Test build knowledge graph."""
- index = KnowledgeGraphIndex([], service_context=mock_service_context)
+ index = KnowledgeGraphIndex([])
tuples = [
("foo", "is", "bar"),
("hello", "is not", "world"),
@@ -122,7 +118,7 @@ def test_build_kg_manual(
}
# test upsert_triplet_and_node
- index = KnowledgeGraphIndex([], service_context=mock_service_context)
+ index = KnowledgeGraphIndex([])
tuples = [
("foo", "is", "bar"),
("hello", "is not", "world"),
@@ -152,7 +148,7 @@ def test_build_kg_manual(
}
# try inserting same node twice
- index = KnowledgeGraphIndex([], service_context=mock_service_context)
+ index = KnowledgeGraphIndex([])
node = TextNode(text=str(("foo", "is", "bar")), id_="test_node")
index.upsert_triplet_and_node(tup, node)
index.upsert_triplet_and_node(tup, node)
@@ -162,15 +158,11 @@ def test_build_kg_manual(
KnowledgeGraphIndex, "_extract_triplets", side_effect=mock_extract_triplets
)
def test_build_kg_similarity(
- _patch_extract_triplets: Any,
- documents: List[Document],
- mock_service_context: ServiceContext,
+ _patch_extract_triplets: Any, documents: List[Document]
) -> None:
"""Test build knowledge graph."""
- mock_service_context.embed_model = MockEmbedding()
-
index = KnowledgeGraphIndex.from_documents(
- documents, include_embeddings=True, service_context=mock_service_context
+ documents, include_embeddings=True, embed_model=MockEmbedding()
)
# get embedding dict from KG index struct
rel_text_embeddings = index.index_struct.embedding_dict
@@ -185,14 +177,10 @@ def test_build_kg_similarity(
KnowledgeGraphIndex, "_extract_triplets", side_effect=mock_extract_triplets
)
def test_build_kg(
- _patch_extract_triplets: Any,
- documents: List[Document],
- mock_service_context: ServiceContext,
+ _patch_extract_triplets: Any, documents: List[Document], patch_token_text_splitter
) -> None:
"""Test build knowledge graph."""
- index = KnowledgeGraphIndex.from_documents(
- documents, service_context=mock_service_context
- )
+ index = KnowledgeGraphIndex.from_documents(documents)
# NOTE: in these unit tests, document text == triplets
nodes = index.docstore.get_nodes(list(index.index_struct.node_ids))
table_chunks = {n.get_content() for n in nodes}
@@ -219,10 +207,7 @@ def test_build_kg(
assert len(ref_doc_info.node_ids) == 3
-def test__parse_triplet_response(
- doc_triplets_with_text_around: List[Document],
- mock_service_context: ServiceContext,
-) -> None:
+def test__parse_triplet_response(doc_triplets_with_text_around: List[Document]) -> None:
"""Test build knowledge graph with triplet response in other format."""
parsed_triplets = []
for doc_triplet in doc_triplets_with_text_around:
diff --git a/llama-index-core/tests/indices/knowledge_graph/test_retrievers.py b/llama-index-core/tests/indices/knowledge_graph/test_retrievers.py
index f95e43bf1d4190d936b6bb84b34a3ab14b266baf..6d5df08c53ebea4d2e3826fd22a24869de97d7c4 100644
--- a/llama-index-core/tests/indices/knowledge_graph/test_retrievers.py
+++ b/llama-index-core/tests/indices/knowledge_graph/test_retrievers.py
@@ -6,7 +6,6 @@ from llama_index.core.embeddings import BaseEmbedding
from llama_index.core.indices.knowledge_graph.base import KnowledgeGraphIndex
from llama_index.core.indices.knowledge_graph.retrievers import KGTableRetriever
from llama_index.core.schema import Document, QueryBundle
-from llama_index.core.service_context import ServiceContext
from llama_index.core.storage.storage_context import StorageContext
from tests.mock_utils.mock_prompts import MOCK_QUERY_KEYWORD_EXTRACT_PROMPT
@@ -69,16 +68,12 @@ def mock_extract_triplets(text: str) -> List[Tuple[str, str, str]]:
@patch.object(
KnowledgeGraphIndex, "_extract_triplets", side_effect=mock_extract_triplets
)
-def test_as_retriever(
- _patch_extract_triplets: Any,
- documents: List[Document],
- mock_service_context: ServiceContext,
-) -> None:
+def test_as_retriever(_patch_extract_triplets: Any, documents: List[Document]) -> None:
"""Test query."""
graph_store = SimpleGraphStore()
storage_context = StorageContext.from_defaults(graph_store=graph_store)
index = KnowledgeGraphIndex.from_documents(
- documents, service_context=mock_service_context, storage_context=storage_context
+ documents, storage_context=storage_context
)
retriever: KGTableRetriever = index.as_retriever() # type: ignore
nodes = retriever.retrieve(QueryBundle("foo"))
@@ -101,17 +96,13 @@ def test_as_retriever(
@patch.object(
KnowledgeGraphIndex, "_extract_triplets", side_effect=mock_extract_triplets
)
-def test_retrievers(
- _patch_extract_triplets: Any,
- documents: List[Document],
- mock_service_context: ServiceContext,
-) -> None:
+def test_retrievers(_patch_extract_triplets: Any, documents: List[Document]) -> None:
# test specific retriever class
graph_store = SimpleGraphStore()
storage_context = StorageContext.from_defaults(graph_store=graph_store)
index = KnowledgeGraphIndex.from_documents(
- documents, service_context=mock_service_context, storage_context=storage_context
+ documents, storage_context=storage_context
)
retriever = KGTableRetriever(
index,
@@ -134,16 +125,14 @@ def test_retrievers(
KnowledgeGraphIndex, "_extract_triplets", side_effect=mock_extract_triplets
)
def test_retriever_no_text(
- _patch_extract_triplets: Any,
- documents: List[Document],
- mock_service_context: ServiceContext,
+ _patch_extract_triplets: Any, documents: List[Document]
) -> None:
# test specific retriever class
graph_store = SimpleGraphStore()
storage_context = StorageContext.from_defaults(graph_store=graph_store)
index = KnowledgeGraphIndex.from_documents(
- documents, service_context=mock_service_context, storage_context=storage_context
+ documents, storage_context=storage_context
)
retriever = KGTableRetriever(
index,
@@ -167,20 +156,17 @@ def test_retriever_no_text(
KnowledgeGraphIndex, "_extract_triplets", side_effect=mock_extract_triplets
)
def test_retrieve_similarity(
- _patch_extract_triplets: Any,
- documents: List[Document],
- mock_service_context: ServiceContext,
+ _patch_extract_triplets: Any, documents: List[Document]
) -> None:
"""Test query."""
- mock_service_context.embed_model = MockEmbedding()
graph_store = SimpleGraphStore()
storage_context = StorageContext.from_defaults(graph_store=graph_store)
index = KnowledgeGraphIndex.from_documents(
documents,
include_embeddings=True,
- service_context=mock_service_context,
storage_context=storage_context,
+ embed_model=MockEmbedding(),
)
retriever = KGTableRetriever(index, similarity_top_k=2, graph_store=graph_store)
diff --git a/llama-index-core/tests/indices/list/test_index.py b/llama-index-core/tests/indices/list/test_index.py
index 194fa49db6ccc400d061775bc96aebe9aecec416..38f93e4e9e12b61c7bcf68f90a4d5171cf398e7c 100644
--- a/llama-index-core/tests/indices/list/test_index.py
+++ b/llama-index-core/tests/indices/list/test_index.py
@@ -5,16 +5,11 @@ from typing import List
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.indices.list.base import ListRetrieverMode, SummaryIndex
from llama_index.core.schema import Document
-from llama_index.core.service_context import ServiceContext
-def test_build_list(
- documents: List[Document], mock_service_context: ServiceContext
-) -> None:
+def test_build_list(documents: List[Document], patch_token_text_splitter) -> None:
"""Test build list."""
- summary_index = SummaryIndex.from_documents(
- documents, service_context=mock_service_context
- )
+ summary_index = SummaryIndex.from_documents(documents)
assert len(summary_index.index_struct.nodes) == 4
# check contents of nodes
node_ids = summary_index.index_struct.nodes
@@ -25,10 +20,7 @@ def test_build_list(
assert nodes[3].get_content() == "This is a test v2."
-def test_refresh_list(
- documents: List[Document],
- mock_service_context: ServiceContext,
-) -> None:
+def test_refresh_list(documents: List[Document]) -> None:
"""Test build list."""
# add extra document
more_documents = [*documents, Document(text="Test document 2")]
@@ -38,9 +30,7 @@ def test_refresh_list(
more_documents[i].doc_id = str(i) # type: ignore[misc]
# create index
- summary_index = SummaryIndex.from_documents(
- more_documents, service_context=mock_service_context
- )
+ summary_index = SummaryIndex.from_documents(more_documents)
# check that no documents are refreshed
refreshed_docs = summary_index.refresh_ref_docs(more_documents)
@@ -61,15 +51,13 @@ def test_refresh_list(
assert test_node.get_content() == "Test document 2, now with changes!"
-def test_build_list_multiple(mock_service_context: ServiceContext) -> None:
+def test_build_list_multiple(patch_token_text_splitter) -> None:
"""Test build list multiple."""
documents = [
Document(text="Hello world.\nThis is a test."),
Document(text="This is another test.\nThis is a test v2."),
]
- summary_index = SummaryIndex.from_documents(
- documents, service_context=mock_service_context
- )
+ summary_index = SummaryIndex.from_documents(documents)
assert len(summary_index.index_struct.nodes) == 4
nodes = summary_index.docstore.get_nodes(summary_index.index_struct.nodes)
# check contents of nodes
@@ -79,12 +67,9 @@ def test_build_list_multiple(mock_service_context: ServiceContext) -> None:
assert nodes[3].get_content() == "This is a test v2."
-def test_list_insert(
- documents: List[Document],
- mock_service_context: ServiceContext,
-) -> None:
+def test_list_insert(documents: List[Document], patch_token_text_splitter) -> None:
"""Test insert to list."""
- summary_index = SummaryIndex([], service_context=mock_service_context)
+ summary_index = SummaryIndex([])
assert len(summary_index.index_struct.nodes) == 0
summary_index.insert(documents[0])
nodes = summary_index.docstore.get_nodes(summary_index.index_struct.nodes)
@@ -106,10 +91,7 @@ def test_list_insert(
assert node.ref_doc_id == "test_id"
-def test_list_delete(
- documents: List[Document],
- mock_service_context: ServiceContext,
-) -> None:
+def test_list_delete(documents: List[Document], patch_token_text_splitter) -> None:
"""Test insert to list and then delete."""
new_documents = [
Document(text="Hello world.\nThis is a test.", id_="test_id_1"),
@@ -117,9 +99,7 @@ def test_list_delete(
Document(text="This is a test v2.", id_="test_id_3"),
]
- summary_index = SummaryIndex.from_documents(
- new_documents, service_context=mock_service_context
- )
+ summary_index = SummaryIndex.from_documents(new_documents)
# test ref doc info for three docs
all_ref_doc_info = summary_index.ref_doc_info
@@ -138,9 +118,7 @@ def test_list_delete(
source_doc = summary_index.docstore.get_document("test_id_1", raise_error=False)
assert source_doc is None
- summary_index = SummaryIndex.from_documents(
- new_documents, service_context=mock_service_context
- )
+ summary_index = SummaryIndex.from_documents(new_documents)
summary_index.delete_ref_doc("test_id_2")
assert len(summary_index.index_struct.nodes) == 3
nodes = summary_index.docstore.get_nodes(summary_index.index_struct.nodes)
@@ -152,13 +130,8 @@ def test_list_delete(
assert nodes[2].get_content() == "This is a test v2."
-def test_as_retriever(
- documents: List[Document],
- mock_service_context: ServiceContext,
-) -> None:
- summary_index = SummaryIndex.from_documents(
- documents, service_context=mock_service_context
- )
+def test_as_retriever(documents: List[Document]) -> None:
+ summary_index = SummaryIndex.from_documents(documents)
default_retriever = summary_index.as_retriever(
retriever_mode=ListRetrieverMode.DEFAULT
)
diff --git a/llama-index-core/tests/indices/list/test_retrievers.py b/llama-index-core/tests/indices/list/test_retrievers.py
index 4eb86f147eed4ec25841494a2d6e781e97ca530a..8c820aa8432852dae074786c6475b5fd38dc1897 100644
--- a/llama-index-core/tests/indices/list/test_retrievers.py
+++ b/llama-index-core/tests/indices/list/test_retrievers.py
@@ -6,7 +6,6 @@ from llama_index.core.indices.list.retrievers import SummaryIndexEmbeddingRetrie
from llama_index.core.llms.mock import MockLLM
from llama_index.core.prompts import BasePromptTemplate
from llama_index.core.schema import BaseNode, Document
-from llama_index.core.service_context import ServiceContext
def _get_embeddings(
@@ -26,11 +25,9 @@ def _get_embeddings(
return [1.0, 0, 0, 0, 0], node_embeddings
-def test_retrieve_default(
- documents: List[Document], mock_service_context: ServiceContext
-) -> None:
+def test_retrieve_default(documents: List[Document], patch_token_text_splitter) -> None:
"""Test list query."""
- index = SummaryIndex.from_documents(documents, service_context=mock_service_context)
+ index = SummaryIndex.from_documents(documents)
query_str = "What is?"
retriever = index.as_retriever(retriever_mode="default")
@@ -46,12 +43,10 @@ def test_retrieve_default(
side_effect=_get_embeddings,
)
def test_embedding_query(
- _patch_get_embeddings: Any,
- documents: List[Document],
- mock_service_context: ServiceContext,
+ _patch_get_embeddings: Any, documents: List[Document], patch_token_text_splitter
) -> None:
"""Test embedding query."""
- index = SummaryIndex.from_documents(documents, service_context=mock_service_context)
+ index = SummaryIndex.from_documents(documents)
# test embedding query
query_str = "What is?"
@@ -74,12 +69,9 @@ def mock_llmpredictor_predict(
"predict",
mock_llmpredictor_predict,
)
-def test_llm_query(
- documents: List[Document],
- mock_service_context: ServiceContext,
-) -> None:
+def test_llm_query(documents: List[Document], patch_token_text_splitter) -> None:
"""Test llm query."""
- index = SummaryIndex.from_documents(documents, service_context=mock_service_context)
+ index = SummaryIndex.from_documents(documents)
# test llm query (batch size 10)
query_str = "What is?"
diff --git a/llama-index-core/tests/indices/query/query_transform/test_base.py b/llama-index-core/tests/indices/query/query_transform/test_base.py
index 788863466c3a4422b24c5e14a07db26c87a80561..e65d8e908b497d06592b95082e00fe26e06bf0f9 100644
--- a/llama-index-core/tests/indices/query/query_transform/test_base.py
+++ b/llama-index-core/tests/indices/query/query_transform/test_base.py
@@ -1,18 +1,15 @@
"""Test query transform."""
-
from llama_index.core.indices.query.query_transform.base import (
DecomposeQueryTransform,
)
-from llama_index.core.service_context import ServiceContext
from tests.indices.query.query_transform.mock_utils import MOCK_DECOMPOSE_PROMPT
-def test_decompose_query_transform(mock_service_context: ServiceContext) -> None:
+def test_decompose_query_transform(patch_llm_predictor) -> None:
"""Test decompose query transform."""
query_transform = DecomposeQueryTransform(
- decompose_query_prompt=MOCK_DECOMPOSE_PROMPT,
- llm=mock_service_context.llm,
+ decompose_query_prompt=MOCK_DECOMPOSE_PROMPT
)
query_str = "What is?"
diff --git a/llama-index-core/tests/indices/query/test_compose.py b/llama-index-core/tests/indices/query/test_compose.py
index f898d5c759db4163176ad3d1fe7160d1d81310b7..9ca97fb81c299c91d0b6880380cb09149b8a6884 100644
--- a/llama-index-core/tests/indices/query/test_compose.py
+++ b/llama-index-core/tests/indices/query/test_compose.py
@@ -9,30 +9,22 @@ from llama_index.core.indices.keyword_table.simple_base import (
from llama_index.core.indices.list.base import SummaryIndex
from llama_index.core.indices.tree.base import TreeIndex
from llama_index.core.schema import Document
-from llama_index.core.service_context import ServiceContext
def test_recursive_query_list_tree(
documents: List[Document],
- mock_service_context: ServiceContext,
index_kwargs: Dict,
+ patch_token_text_splitter,
+ patch_llm_predictor,
) -> None:
"""Test query."""
list_kwargs = index_kwargs["list"]
tree_kwargs = index_kwargs["tree"]
# try building a list for every two, then a tree
- list1 = SummaryIndex.from_documents(
- documents[0:2], service_context=mock_service_context, **list_kwargs
- )
- list2 = SummaryIndex.from_documents(
- documents[2:4], service_context=mock_service_context, **list_kwargs
- )
- list3 = SummaryIndex.from_documents(
- documents[4:6], service_context=mock_service_context, **list_kwargs
- )
- list4 = SummaryIndex.from_documents(
- documents[6:8], service_context=mock_service_context, **list_kwargs
- )
+ list1 = SummaryIndex.from_documents(documents[0:2], **list_kwargs)
+ list2 = SummaryIndex.from_documents(documents[2:4], **list_kwargs)
+ list3 = SummaryIndex.from_documents(documents[4:6], **list_kwargs)
+ list4 = SummaryIndex.from_documents(documents[6:8], **list_kwargs)
summary1 = "summary1"
summary2 = "summary2"
@@ -51,8 +43,7 @@ def test_recursive_query_list_tree(
list4,
],
index_summaries=summaries,
- service_context=mock_service_context,
- **tree_kwargs
+ **tree_kwargs,
)
assert isinstance(graph, ComposableGraph)
query_str = "What is?"
@@ -67,7 +58,8 @@ def test_recursive_query_list_tree(
def test_recursive_query_tree_list(
documents: List[Document],
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
index_kwargs: Dict,
) -> None:
"""Test query."""
@@ -75,14 +67,8 @@ def test_recursive_query_tree_list(
tree_kwargs = index_kwargs["tree"]
# try building a tree for a group of 4, then a list
# use a diff set of documents
- tree1 = TreeIndex.from_documents(
- documents[2:6], service_context=mock_service_context, **tree_kwargs
- )
- tree2 = TreeIndex.from_documents(
- documents[:2] + documents[6:],
- service_context=mock_service_context,
- **tree_kwargs
- )
+ tree1 = TreeIndex.from_documents(documents[2:6], **tree_kwargs)
+ tree2 = TreeIndex.from_documents(documents[:2] + documents[6:], **tree_kwargs)
summaries = [
"tree_summary1",
"tree_summary2",
@@ -94,8 +80,7 @@ def test_recursive_query_tree_list(
SummaryIndex,
[tree1, tree2],
index_summaries=summaries,
- service_context=mock_service_context,
- **list_kwargs
+ **list_kwargs,
)
assert isinstance(graph, ComposableGraph)
query_str = "What is?"
@@ -110,7 +95,8 @@ def test_recursive_query_tree_list(
def test_recursive_query_table_list(
documents: List[Document],
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
index_kwargs: Dict,
) -> None:
"""Test query."""
@@ -118,12 +104,8 @@ def test_recursive_query_table_list(
table_kwargs = index_kwargs["table"]
# try building a tree for a group of 4, then a list
# use a diff set of documents
- table1 = SimpleKeywordTableIndex.from_documents(
- documents[4:6], service_context=mock_service_context, **table_kwargs
- )
- table2 = SimpleKeywordTableIndex.from_documents(
- documents[2:3], service_context=mock_service_context, **table_kwargs
- )
+ table1 = SimpleKeywordTableIndex.from_documents(documents[4:6], **table_kwargs)
+ table2 = SimpleKeywordTableIndex.from_documents(documents[2:3], **table_kwargs)
summaries = [
"table_summary1",
"table_summary2",
@@ -133,8 +115,7 @@ def test_recursive_query_table_list(
SummaryIndex,
[table1, table2],
index_summaries=summaries,
- service_context=mock_service_context,
- **list_kwargs
+ **list_kwargs,
)
assert isinstance(graph, ComposableGraph)
query_str = "World?"
@@ -149,7 +130,8 @@ def test_recursive_query_table_list(
def test_recursive_query_list_table(
documents: List[Document],
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
index_kwargs: Dict,
) -> None:
"""Test query."""
@@ -158,18 +140,10 @@ def test_recursive_query_list_table(
# try building a tree for a group of 4, then a list
# use a diff set of documents
# try building a list for every two, then a tree
- list1 = SummaryIndex.from_documents(
- documents[0:2], service_context=mock_service_context, **list_kwargs
- )
- list2 = SummaryIndex.from_documents(
- documents[2:4], service_context=mock_service_context, **list_kwargs
- )
- list3 = SummaryIndex.from_documents(
- documents[4:6], service_context=mock_service_context, **list_kwargs
- )
- list4 = SummaryIndex.from_documents(
- documents[6:8], service_context=mock_service_context, **list_kwargs
- )
+ list1 = SummaryIndex.from_documents(documents[0:2], **list_kwargs)
+ list2 = SummaryIndex.from_documents(documents[2:4], **list_kwargs)
+ list3 = SummaryIndex.from_documents(documents[4:6], **list_kwargs)
+ list4 = SummaryIndex.from_documents(documents[6:8], **list_kwargs)
summaries = [
"foo bar",
"apple orange",
@@ -181,8 +155,7 @@ def test_recursive_query_list_table(
SimpleKeywordTableIndex,
[list1, list2, list3, list4],
index_summaries=summaries,
- service_context=mock_service_context,
- **table_kwargs
+ **table_kwargs,
)
assert isinstance(graph, ComposableGraph)
query_str = "Foo?"
diff --git a/llama-index-core/tests/indices/query/test_compose_vector.py b/llama-index-core/tests/indices/query/test_compose_vector.py
index 6ffa07e7f9bc34843f1f65563f96d4c21143ec89..4c468cf31f504b20c430a991cd7eb5e3013e9488 100644
--- a/llama-index-core/tests/indices/query/test_compose_vector.py
+++ b/llama-index-core/tests/indices/query/test_compose_vector.py
@@ -2,7 +2,6 @@
from typing import Any, Dict, List
-import pytest
from llama_index.core.async_utils import asyncio_run
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.data_structs.data_structs import IndexStruct
@@ -12,7 +11,6 @@ from llama_index.core.indices.keyword_table.simple_base import (
)
from llama_index.core.indices.vector_store.base import VectorStoreIndex
from llama_index.core.schema import Document
-from llama_index.core.service_context import ServiceContext
from tests.mock_utils.mock_prompts import MOCK_QUERY_KEYWORD_EXTRACT_PROMPT
@@ -86,17 +84,11 @@ class MockEmbedding(BaseEmbedding):
raise ValueError("Invalid text for `mock_get_text_embedding`.")
-@pytest.fixture()
-def mock_service_context(
- patch_token_text_splitter: Any, patch_llm_predictor: Any
-) -> ServiceContext:
- return ServiceContext.from_defaults(embed_model=MockEmbedding())
-
-
def test_recursive_query_vector_table(
documents: List[Document],
- mock_service_context: ServiceContext,
index_kwargs: Dict,
+ patch_token_text_splitter,
+ patch_llm_predictor,
) -> None:
"""Test query."""
vector_kwargs = index_kwargs["vector"]
@@ -105,16 +97,16 @@ def test_recursive_query_vector_table(
# use a diff set of documents
# try building a list for every two, then a tree
vector1 = VectorStoreIndex.from_documents(
- documents[0:2], service_context=mock_service_context, **vector_kwargs
+ documents[0:2], embed_model=MockEmbedding(), **vector_kwargs
)
vector2 = VectorStoreIndex.from_documents(
- documents[2:4], service_context=mock_service_context, **vector_kwargs
+ documents[2:4], embed_model=MockEmbedding(), **vector_kwargs
)
list3 = VectorStoreIndex.from_documents(
- documents[4:6], service_context=mock_service_context, **vector_kwargs
+ documents[4:6], embed_model=MockEmbedding(), **vector_kwargs
)
list4 = VectorStoreIndex.from_documents(
- documents[6:8], service_context=mock_service_context, **vector_kwargs
+ documents[6:8], embed_model=MockEmbedding(), **vector_kwargs
)
indices = [vector1, vector2, list3, list4]
@@ -129,8 +121,7 @@ def test_recursive_query_vector_table(
SimpleKeywordTableIndex,
indices,
index_summaries=summaries,
- service_context=mock_service_context,
- **table_kwargs
+ **table_kwargs,
)
custom_query_engines = {
@@ -154,8 +145,9 @@ def test_recursive_query_vector_table(
def test_recursive_query_vector_table_query_configs(
documents: List[Document],
- mock_service_context: ServiceContext,
index_kwargs: Dict,
+ patch_llm_predictor,
+ patch_token_text_splitter,
) -> None:
"""Test query.
@@ -169,10 +161,10 @@ def test_recursive_query_vector_table_query_configs(
# use a diff set of documents
# try building a list for every two, then a tree
vector1 = VectorStoreIndex.from_documents(
- documents[0:2], service_context=mock_service_context, **vector_kwargs
+ documents[0:2], embed_model=MockEmbedding(), **vector_kwargs
)
vector2 = VectorStoreIndex.from_documents(
- documents[2:4], service_context=mock_service_context, **vector_kwargs
+ documents[2:4], embed_model=MockEmbedding(), **vector_kwargs
)
assert isinstance(vector1.index_struct, IndexStruct)
assert isinstance(vector2.index_struct, IndexStruct)
@@ -187,8 +179,7 @@ def test_recursive_query_vector_table_query_configs(
SimpleKeywordTableIndex,
[vector1, vector2],
index_summaries=summaries,
- service_context=mock_service_context,
- **table_kwargs
+ **table_kwargs,
)
assert isinstance(graph, ComposableGraph)
@@ -211,7 +202,8 @@ def test_recursive_query_vector_table_query_configs(
def test_recursive_query_vector_table_async(
allow_networking: Any,
documents: List[Document],
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
index_kwargs: Dict,
) -> None:
"""Test async query of table index over vector indices."""
@@ -221,16 +213,16 @@ def test_recursive_query_vector_table_async(
# use a diff set of documents
# try building a list for every two, then a tree
vector1 = VectorStoreIndex.from_documents(
- documents[0:2], service_context=mock_service_context, **vector_kwargs
+ documents[0:2], embed_model=MockEmbedding(), **vector_kwargs
)
vector2 = VectorStoreIndex.from_documents(
- documents[2:4], service_context=mock_service_context, **vector_kwargs
+ documents[2:4], embed_model=MockEmbedding(), **vector_kwargs
)
list3 = VectorStoreIndex.from_documents(
- documents[4:6], service_context=mock_service_context, **vector_kwargs
+ documents[4:6], embed_model=MockEmbedding(), **vector_kwargs
)
list4 = VectorStoreIndex.from_documents(
- documents[6:8], service_context=mock_service_context, **vector_kwargs
+ documents[6:8], embed_model=MockEmbedding(), **vector_kwargs
)
indices = [vector1, vector2, list3, list4]
@@ -245,8 +237,7 @@ def test_recursive_query_vector_table_async(
SimpleKeywordTableIndex,
children_indices=indices,
index_summaries=summaries,
- service_context=mock_service_context,
- **table_kwargs
+ **table_kwargs,
)
custom_query_engines = {
@@ -264,7 +255,8 @@ def test_recursive_query_vector_table_async(
def test_recursive_query_vector_vector(
documents: List[Document],
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
index_kwargs: Dict,
) -> None:
"""Test query."""
@@ -273,16 +265,16 @@ def test_recursive_query_vector_vector(
# use a diff set of documents
# try building a list for every two, then a tree
vector1 = VectorStoreIndex.from_documents(
- documents[0:2], service_context=mock_service_context, **vector_kwargs
+ documents[0:2], embed_model=MockEmbedding(), **vector_kwargs
)
vector2 = VectorStoreIndex.from_documents(
- documents[2:4], service_context=mock_service_context, **vector_kwargs
+ documents[2:4], embed_model=MockEmbedding(), **vector_kwargs
)
list3 = VectorStoreIndex.from_documents(
- documents[4:6], service_context=mock_service_context, **vector_kwargs
+ documents[4:6], embed_model=MockEmbedding(), **vector_kwargs
)
list4 = VectorStoreIndex.from_documents(
- documents[6:8], service_context=mock_service_context, **vector_kwargs
+ documents[6:8], embed_model=MockEmbedding(), **vector_kwargs
)
indices = [vector1, vector2, list3, list4]
@@ -297,8 +289,8 @@ def test_recursive_query_vector_vector(
VectorStoreIndex,
children_indices=indices,
index_summaries=summaries,
- service_context=mock_service_context,
- **vector_kwargs
+ embed_model=MockEmbedding(),
+ **vector_kwargs,
)
custom_query_engines = {
index.index_id: index.as_query_engine(similarity_top_k=1) for index in indices
diff --git a/llama-index-core/tests/indices/query/test_query_bundle.py b/llama-index-core/tests/indices/query/test_query_bundle.py
index 34cb5618f132ec3d70792a17ae539929a18abf8e..1c80a809d313d383b0e046ba41ad92dbc1a9dc0e 100644
--- a/llama-index-core/tests/indices/query/test_query_bundle.py
+++ b/llama-index-core/tests/indices/query/test_query_bundle.py
@@ -6,7 +6,6 @@ import pytest
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.indices.list.base import SummaryIndex
from llama_index.core.schema import Document, QueryBundle
-from llama_index.core.service_context import ServiceContext
@pytest.fixture()
@@ -70,12 +69,10 @@ class MockEmbedding(BaseEmbedding):
def test_embedding_query(
- documents: List[Document],
- mock_service_context: ServiceContext,
+ documents: List[Document], patch_llm_predictor, patch_token_text_splitter
) -> None:
"""Test embedding query."""
- mock_service_context.embed_model = MockEmbedding()
- index = SummaryIndex.from_documents(documents, service_context=mock_service_context)
+ index = SummaryIndex.from_documents(documents)
# test embedding query
query_bundle = QueryBundle(
@@ -85,7 +82,9 @@ def test_embedding_query(
"The meaning of life",
],
)
- retriever = index.as_retriever(retriever_mode="embedding", similarity_top_k=1)
+ retriever = index.as_retriever(
+ retriever_mode="embedding", similarity_top_k=1, embed_model=MockEmbedding()
+ )
nodes = retriever.retrieve(query_bundle)
assert len(nodes) == 1
assert nodes[0].node.get_content() == "Correct."
diff --git a/llama-index-core/tests/indices/response/test_response_builder.py b/llama-index-core/tests/indices/response/test_response_builder.py
index 5a199a4c3426cbc0e36523de259a1c6e3b370e5c..ba568a6b3e50a55e4f2998e34d521103ac5078c6 100644
--- a/llama-index-core/tests/indices/response/test_response_builder.py
+++ b/llama-index-core/tests/indices/response/test_response_builder.py
@@ -12,31 +12,25 @@ from llama_index.core.response_synthesizers import (
get_response_synthesizer,
)
from llama_index.core.schema import Document
-from llama_index.core.service_context import ServiceContext
-from tests.indices.vector_store.mock_services import MockEmbedding
from tests.mock_utils.mock_prompts import MOCK_REFINE_PROMPT, MOCK_TEXT_QA_PROMPT
from tests.mock_utils.mock_utils import mock_tokenizer
def test_give_response(
- mock_service_context: ServiceContext,
- documents: List[Document],
+ documents: List[Document], patch_llm_predictor, patch_token_text_splitter
) -> None:
"""Test give response."""
prompt_helper = PromptHelper(
context_window=DEFAULT_CONTEXT_WINDOW, num_output=DEFAULT_NUM_OUTPUTS
)
-
- service_context = mock_service_context
- service_context.prompt_helper = prompt_helper
query_str = "What is?"
# test single line
builder = get_response_synthesizer(
response_mode=ResponseMode.REFINE,
- service_context=service_context,
text_qa_template=MOCK_TEXT_QA_PROMPT,
refine_template=MOCK_REFINE_PROMPT,
+ prompt_helper=prompt_helper,
)
response = builder.get_response(
text_chunks=["This is a single line."], query_str=query_str
@@ -56,7 +50,7 @@ def test_give_response(
assert str(response) == expected_answer
-def test_compact_response(mock_service_context: ServiceContext) -> None:
+def test_compact_response(patch_llm_predictor, patch_token_text_splitter) -> None:
"""Test give response."""
# test response with ResponseMode.COMPACT
# NOTE: here we want to guarantee that prompts have 0 extra tokens
@@ -80,8 +74,6 @@ def test_compact_response(mock_service_context: ServiceContext) -> None:
separator="\n\n",
chunk_size_limit=4,
)
- service_context = mock_service_context
- service_context.prompt_helper = prompt_helper
cur_chunk_size = prompt_helper._get_available_chunk_size(
mock_qa_prompt, 1, padding=1
)
@@ -95,20 +87,17 @@ def test_compact_response(mock_service_context: ServiceContext) -> None:
"This\n\nis\n\na\n\ntest",
]
builder = get_response_synthesizer(
- service_context=service_context,
text_qa_template=mock_qa_prompt,
refine_template=mock_refine_prompt,
response_mode=ResponseMode.COMPACT,
+ prompt_helper=prompt_helper,
)
response = builder.get_response(text_chunks=texts, query_str=query_str)
assert str(response) == "What is?:This:is:a:bar:This:is:a:test"
-def test_accumulate_response(
- mock_service_context: ServiceContext,
- documents: List[Document],
-) -> None:
+def test_accumulate_response(patch_llm_predictor, patch_token_text_splitter) -> None:
"""Test accumulate response."""
# test response with ResponseMode.ACCUMULATE
# NOTE: here we want to guarantee that prompts have 0 extra tokens
@@ -127,8 +116,6 @@ def test_accumulate_response(
separator="\n\n",
chunk_size_limit=4,
)
- service_context = mock_service_context
- service_context.prompt_helper = prompt_helper
cur_chunk_size = prompt_helper._get_available_chunk_size(
mock_qa_prompt, 1, padding=1
)
@@ -142,9 +129,9 @@ def test_accumulate_response(
"This\nis\nfoo",
]
builder = get_response_synthesizer(
- service_context=service_context,
text_qa_template=mock_qa_prompt,
response_mode=ResponseMode.ACCUMULATE,
+ prompt_helper=prompt_helper,
)
response = builder.get_response(text_chunks=texts, query_str=query_str)
@@ -165,8 +152,7 @@ def test_accumulate_response(
def test_accumulate_response_async(
- mock_service_context: ServiceContext,
- documents: List[Document],
+ patch_llm_predictor, patch_token_text_splitter
) -> None:
"""Test accumulate response."""
# test response with ResponseMode.ACCUMULATE
@@ -186,8 +172,6 @@ def test_accumulate_response_async(
separator="\n\n",
chunk_size_limit=4,
)
- service_context = mock_service_context
- service_context.prompt_helper = prompt_helper
cur_chunk_size = prompt_helper._get_available_chunk_size(
mock_qa_prompt, 1, padding=1
)
@@ -201,10 +185,10 @@ def test_accumulate_response_async(
"This\nis\nfoo",
]
builder = get_response_synthesizer(
- service_context=service_context,
text_qa_template=mock_qa_prompt,
response_mode=ResponseMode.ACCUMULATE,
use_async=True,
+ prompt_helper=prompt_helper,
)
response = builder.get_response(text_chunks=texts, query_str=query_str)
@@ -225,8 +209,7 @@ def test_accumulate_response_async(
def test_accumulate_response_aget(
- mock_service_context: ServiceContext,
- documents: List[Document],
+ patch_llm_predictor, patch_token_text_splitter
) -> None:
"""Test accumulate response."""
# test response with ResponseMode.ACCUMULATE
@@ -246,8 +229,6 @@ def test_accumulate_response_aget(
separator="\n\n",
chunk_size_limit=4,
)
- service_context = mock_service_context
- service_context.prompt_helper = prompt_helper
cur_chunk_size = prompt_helper._get_available_chunk_size(
mock_qa_prompt, 1, padding=1
)
@@ -261,9 +242,9 @@ def test_accumulate_response_aget(
"This\nis\nfoo",
]
builder = get_response_synthesizer(
- service_context=service_context,
text_qa_template=mock_qa_prompt,
response_mode=ResponseMode.ACCUMULATE,
+ prompt_helper=prompt_helper,
)
response = asyncio_run(
@@ -289,7 +270,7 @@ def test_accumulate_response_aget(
assert str(response) == expected
-def test_accumulate_compact_response(patch_llm_predictor: None) -> None:
+def test_accumulate_compact_response(patch_llm_predictor):
"""Test accumulate response."""
# test response with ResponseMode.ACCUMULATE
# NOTE: here we want to guarantee that prompts have 0 extra tokens
@@ -308,8 +289,6 @@ def test_accumulate_compact_response(patch_llm_predictor: None) -> None:
separator="\n\n",
chunk_size_limit=4,
)
- service_context = ServiceContext.from_defaults(embed_model=MockEmbedding())
- service_context.prompt_helper = prompt_helper
cur_chunk_size = prompt_helper._get_available_chunk_size(
mock_qa_prompt, 1, padding=1
)
@@ -330,9 +309,9 @@ def test_accumulate_compact_response(patch_llm_predictor: None) -> None:
assert compacted_chunks == ["This\n\nis\n\nbar\n\nThis", "is\n\nfoo"]
builder = get_response_synthesizer(
- service_context=service_context,
text_qa_template=mock_qa_prompt,
response_mode=ResponseMode.COMPACT_ACCUMULATE,
+ prompt_helper=prompt_helper,
)
response = builder.get_response(text_chunks=texts, query_str=query_str)
diff --git a/llama-index-core/tests/indices/response/test_tree_summarize.py b/llama-index-core/tests/indices/response/test_tree_summarize.py
index 321c6f84ce42231b37233e41b441df82cf21eed8..d6b70540db833268a5b4cc791e3e49de6a5b7ff1 100644
--- a/llama-index-core/tests/indices/response/test_tree_summarize.py
+++ b/llama-index-core/tests/indices/response/test_tree_summarize.py
@@ -10,14 +10,10 @@ from llama_index.core.llms.mock import MockLLM
from llama_index.core.prompts.base import PromptTemplate
from llama_index.core.prompts.prompt_type import PromptType
from llama_index.core.response_synthesizers import TreeSummarize
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.service_context_elements.llm_predictor import LLMPredictor
@pytest.fixture()
-def mock_service_context_merge_chunks(
- mock_service_context: ServiceContext,
-) -> ServiceContext:
+def mock_prompt_helper(patch_llm_predictor, patch_token_text_splitter):
def mock_repack(
prompt_template: PromptTemplate, text_chunks: Sequence[str]
) -> List[str]:
@@ -28,11 +24,10 @@ def mock_service_context_merge_chunks(
mock_prompt_helper = Mock(spec=PromptHelper)
mock_prompt_helper.repack.side_effect = mock_repack
- mock_service_context.prompt_helper = mock_prompt_helper
- return mock_service_context
+ return mock_prompt_helper
-def test_tree_summarize(mock_service_context_merge_chunks: ServiceContext) -> None:
+def test_tree_summarize(mock_prompt_helper) -> None:
mock_summary_prompt_tmpl = "{context_str}{query_str}"
mock_summary_prompt = PromptTemplate(
mock_summary_prompt_tmpl, prompt_type=PromptType.SUMMARY
@@ -48,7 +43,7 @@ def test_tree_summarize(mock_service_context_merge_chunks: ServiceContext) -> No
# test sync
tree_summarize = TreeSummarize(
- service_context=mock_service_context_merge_chunks,
+ prompt_helper=mock_prompt_helper,
summary_template=mock_summary_prompt,
)
response = tree_summarize.get_response(text_chunks=texts, query_str=query_str)
@@ -64,11 +59,7 @@ def mock_return_class(*args: Any, **kwargs: Any) -> TestModel:
@patch.object(MockLLM, "structured_predict", mock_return_class)
-def test_tree_summarize_output_cls(
- mock_service_context_merge_chunks: ServiceContext,
-) -> None:
- mock_service_context_merge_chunks.llm_predictor = LLMPredictor(MockLLM())
-
+def test_tree_summarize_output_cls(mock_prompt_helper) -> None:
mock_summary_prompt_tmpl = "{context_str}{query_str}"
mock_summary_prompt = PromptTemplate(
mock_summary_prompt_tmpl, prompt_type=PromptType.SUMMARY
@@ -85,19 +76,17 @@ def test_tree_summarize_output_cls(
# test sync
tree_summarize = TreeSummarize(
- service_context=mock_service_context_merge_chunks,
+ prompt_helper=mock_prompt_helper,
summary_template=mock_summary_prompt,
output_cls=TestModel,
)
full_response = "\n".join(texts)
response = tree_summarize.get_response(text_chunks=texts, query_str=query_str)
assert isinstance(response, TestModel)
- assert response.dict() == response_dict
+ assert response.model_dump() == response_dict
-def test_tree_summarize_use_async(
- mock_service_context_merge_chunks: ServiceContext,
-) -> None:
+def test_tree_summarize_use_async(mock_prompt_helper) -> None:
mock_summary_prompt_tmpl = "{context_str}{query_str}"
mock_summary_prompt = PromptTemplate(
mock_summary_prompt_tmpl, prompt_type=PromptType.SUMMARY
@@ -113,7 +102,7 @@ def test_tree_summarize_use_async(
# test async
tree_summarize = TreeSummarize(
- service_context=mock_service_context_merge_chunks,
+ prompt_helper=mock_prompt_helper,
summary_template=mock_summary_prompt,
use_async=True,
)
@@ -122,9 +111,7 @@ def test_tree_summarize_use_async(
@pytest.mark.asyncio()
-async def test_tree_summarize_async(
- mock_service_context_merge_chunks: ServiceContext,
-) -> None:
+async def test_tree_summarize_async(mock_prompt_helper) -> None:
mock_summary_prompt_tmpl = "{context_str}{query_str}"
mock_summary_prompt = PromptTemplate(
mock_summary_prompt_tmpl, prompt_type=PromptType.SUMMARY
@@ -140,7 +127,7 @@ async def test_tree_summarize_async(
# test async
tree_summarize = TreeSummarize(
- service_context=mock_service_context_merge_chunks,
+ prompt_helper=mock_prompt_helper,
summary_template=mock_summary_prompt,
)
response = await tree_summarize.aget_response(
diff --git a/llama-index-core/tests/indices/struct_store/test_base.py b/llama-index-core/tests/indices/struct_store/test_base.py
index 1edf41e3e04f6f227ec3adc56bd2a813bef4a0c2..3589437b65838e5790359a9f4c39991a0926fb71 100644
--- a/llama-index-core/tests/indices/struct_store/test_base.py
+++ b/llama-index-core/tests/indices/struct_store/test_base.py
@@ -18,7 +18,6 @@ from llama_index.core.schema import (
RelatedNodeInfo,
TextNode,
)
-from llama_index.core.service_context import ServiceContext
from llama_index.core.utilities.sql_wrapper import SQLDatabase
from sqlalchemy import (
Column,
@@ -41,8 +40,7 @@ def _delete_table_items(engine: Any, table: Table) -> None:
def test_sql_index(
- mock_service_context: ServiceContext,
- struct_kwargs: Tuple[Dict, Dict],
+ struct_kwargs: Tuple[Dict, Dict], patch_llm_predictor, patch_token_text_splitter
) -> None:
"""Test SQLStructStoreIndex."""
engine = create_engine("sqlite:///:memory:")
@@ -63,8 +61,7 @@ def test_sql_index(
docs,
sql_database=sql_database,
table_name=table_name,
- service_context=mock_service_context,
- **index_kwargs
+ **index_kwargs,
)
assert isinstance(index, SQLStructStoreIndex)
@@ -83,8 +80,7 @@ def test_sql_index(
docs,
sql_database=sql_database,
table_name=table_name,
- service_context=mock_service_context,
- **index_kwargs
+ **index_kwargs,
)
assert isinstance(index, SQLStructStoreIndex)
# test that the document is inserted
@@ -96,7 +92,8 @@ def test_sql_index(
def test_sql_index_nodes(
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
struct_kwargs: Tuple[Dict, Dict],
) -> None:
"""Test SQLStructStoreIndex with nodes."""
@@ -129,8 +126,7 @@ def test_sql_index_nodes(
nodes,
sql_database=sql_database,
table_name=table_name,
- service_context=mock_service_context,
- **index_kwargs
+ **index_kwargs,
)
assert isinstance(index, SQLStructStoreIndex)
@@ -160,8 +156,7 @@ def test_sql_index_nodes(
nodes,
sql_database=sql_database,
table_name=table_name,
- service_context=mock_service_context,
- **index_kwargs
+ **index_kwargs,
)
assert isinstance(index, SQLStructStoreIndex)
@@ -175,7 +170,8 @@ def test_sql_index_nodes(
def test_sql_index_with_context(
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
struct_kwargs: Tuple[Dict, Dict],
) -> None:
"""Test SQLStructStoreIndex."""
@@ -206,8 +202,7 @@ def test_sql_index_with_context(
sql_database=sql_database,
table_name=table_name,
sql_context_container=sql_context_container,
- service_context=mock_service_context,
- **index_kwargs
+ **index_kwargs,
)
assert isinstance(index, SQLStructStoreIndex)
assert index.sql_context_container.context_dict == table_context_dict
@@ -224,8 +219,7 @@ def test_sql_index_with_context(
sql_database=sql_database,
table_name=table_name,
sql_context_container=sql_context_container,
- service_context=mock_service_context,
- **index_kwargs
+ **index_kwargs,
)
assert isinstance(index, SQLStructStoreIndex)
for k, v in table_context_dict.items():
@@ -246,7 +240,6 @@ def test_sql_index_with_context(
sql_database=sql_database,
table_context_prompt=MOCK_TABLE_CONTEXT_PROMPT,
table_context_task="extract_test",
- service_context=mock_service_context,
)
sql_context_container = sql_context_builder.build_context_container(
ignore_db_schema=True
@@ -256,8 +249,7 @@ def test_sql_index_with_context(
sql_database=sql_database,
table_name=table_name,
sql_context_container=sql_context_container,
- service_context=mock_service_context,
- **index_kwargs
+ **index_kwargs,
)
assert isinstance(index, SQLStructStoreIndex)
assert index.sql_context_container.context_dict == {
@@ -268,7 +260,9 @@ def test_sql_index_with_context(
# TODO:
-def test_sql_index_with_derive_index(mock_service_context: ServiceContext) -> None:
+def test_sql_index_with_derive_index(
+ patch_llm_predictor, patch_token_text_splitter
+) -> None:
"""Test derive index."""
# test setting table_context_dict
engine = create_engine("sqlite:///:memory:")
@@ -299,7 +293,8 @@ def test_sql_index_with_derive_index(mock_service_context: ServiceContext) -> No
def test_sql_index_with_index_context(
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
struct_kwargs: Tuple[Dict, Dict],
) -> None:
"""Test SQLStructStoreIndex."""
@@ -324,7 +319,7 @@ def test_sql_index_with_index_context(
sql_database, context_dict=table_context_dict
)
context_index = context_builder.derive_index_from_context(
- SummaryIndex, ignore_db_schema=True, service_context=mock_service_context
+ SummaryIndex, ignore_db_schema=True
)
# NOTE: the response only contains the first line (metadata), since
# with the mock patch, newlines are treated as separate calls.
@@ -348,8 +343,7 @@ def test_sql_index_with_index_context(
sql_database=sql_database,
table_name=table_name,
sql_context_container=sql_context_container,
- service_context=mock_service_context,
- **index_kwargs
+ **index_kwargs,
)
# just assert this runs
sql_query_engine = NLStructStoreQueryEngine(index)
diff --git a/llama-index-core/tests/indices/struct_store/test_json_query.py b/llama-index-core/tests/indices/struct_store/test_json_query.py
index 2761a99dc56268dad4bb356ac3172812245b69dd..cdc38aa795ead1615f3f383605d74ccd87962e9c 100644
--- a/llama-index-core/tests/indices/struct_store/test_json_query.py
+++ b/llama-index-core/tests/indices/struct_store/test_json_query.py
@@ -14,8 +14,6 @@ from llama_index.core.indices.struct_store.json_query import (
from llama_index.core.llms.mock import MockLLM
from llama_index.core.prompts.base import BasePromptTemplate
from llama_index.core.schema import QueryBundle
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.service_context_elements.llm_predictor import LLMPredictor
TEST_PARAMS = [
# synthesize_response, call_apredict
@@ -51,11 +49,10 @@ async def amock_predict(
def test_json_query_engine(
synthesize_response: bool,
call_apredict: bool,
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
) -> None:
"""Test GPTNLJSONQueryEngine."""
- mock_service_context.llm_predictor = LLMPredictor(MockLLM())
-
# Test on some sample data
json_val = cast(JSONType, {})
json_schema = cast(JSONType, {})
@@ -71,7 +68,6 @@ def test_json_query_engine(
query_engine = JSONQueryEngine(
json_value=json_val,
json_schema=json_schema,
- service_context=mock_service_context,
output_processor=test_output_processor,
verbose=True,
synthesize_response=synthesize_response,
diff --git a/llama-index-core/tests/indices/struct_store/test_sql_query.py b/llama-index-core/tests/indices/struct_store/test_sql_query.py
index 0ccbb4a68929ef95782ea562618574bcf54b2dd1..79f8d4bbe6d1f40162287e8aa195a0af4c828938 100644
--- a/llama-index-core/tests/indices/struct_store/test_sql_query.py
+++ b/llama-index-core/tests/indices/struct_store/test_sql_query.py
@@ -10,14 +10,14 @@ from llama_index.core.indices.struct_store.sql_query import (
SQLStructStoreQueryEngine,
)
from llama_index.core.schema import Document
-from llama_index.core.service_context import ServiceContext
from llama_index.core.utilities.sql_wrapper import SQLDatabase
from sqlalchemy import Column, Integer, MetaData, String, Table, create_engine
from sqlalchemy.exc import OperationalError
def test_sql_index_query(
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
struct_kwargs: Tuple[Dict, Dict],
) -> None:
"""Test SQLStructStoreIndex."""
@@ -40,8 +40,7 @@ def test_sql_index_query(
docs,
sql_database=sql_database,
table_name=table_name,
- service_context=mock_service_context,
- **index_kwargs
+ **index_kwargs,
)
# query the index with SQL
@@ -55,9 +54,7 @@ def test_sql_index_query(
response = nl_query_engine.query("test_table:user_id,foo")
assert str(response) == "[(2, 'bar'), (8, 'hello')]"
- nl_table_engine = NLSQLTableQueryEngine(
- index.sql_database, service_context=mock_service_context
- )
+ nl_table_engine = NLSQLTableQueryEngine(index.sql_database)
response = nl_table_engine.query("test_table:user_id,foo")
assert str(response) == "[(2, 'bar'), (8, 'hello')]"
@@ -76,16 +73,15 @@ def test_sql_index_query(
response = nl_query_engine.query("test_table:user_id,foo")
assert str(response) == sql_to_test
- nl_table_engine = NLSQLTableQueryEngine(
- index.sql_database, service_context=mock_service_context, sql_only=True
- )
+ nl_table_engine = NLSQLTableQueryEngine(index.sql_database, sql_only=True)
response = nl_table_engine.query("test_table:user_id,foo")
assert str(response) == sql_to_test
def test_sql_index_async_query(
allow_networking: Any,
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
struct_kwargs: Tuple[Dict, Dict],
) -> None:
"""Test SQLStructStoreIndex."""
@@ -108,8 +104,7 @@ def test_sql_index_async_query(
docs,
sql_database=sql_database,
table_name=table_name,
- service_context=mock_service_context,
- **index_kwargs
+ **index_kwargs,
)
sql_to_test = "SELECT user_id, foo FROM test_table"
@@ -125,9 +120,7 @@ def test_sql_index_async_query(
response = asyncio_run(task)
assert str(response) == "[(2, 'bar'), (8, 'hello')]"
- nl_table_engine = NLSQLTableQueryEngine(
- index.sql_database, service_context=mock_service_context
- )
+ nl_table_engine = NLSQLTableQueryEngine(index.sql_database)
task = nl_table_engine.aquery("test_table:user_id,foo")
response = asyncio_run(task)
assert str(response) == "[(2, 'bar'), (8, 'hello')]"
@@ -145,9 +138,7 @@ def test_sql_index_async_query(
response = asyncio_run(task)
assert str(response) == sql_to_test
- nl_table_engine = NLSQLTableQueryEngine(
- index.sql_database, service_context=mock_service_context, sql_only=True
- )
+ nl_table_engine = NLSQLTableQueryEngine(index.sql_database, sql_only=True)
task = nl_table_engine.aquery("test_table:user_id,foo")
response = asyncio_run(task)
assert str(response) == sql_to_test
@@ -166,7 +157,8 @@ def test_default_output_parser() -> None:
def test_nl_query_engine_parser(
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
struct_kwargs: Tuple[Dict, Dict],
) -> None:
"""Test the sql response parser."""
@@ -189,8 +181,7 @@ def test_nl_query_engine_parser(
docs,
sql_database=sql_database,
table_name=table_name,
- service_context=mock_service_context,
- **index_kwargs
+ **index_kwargs,
)
nl_query_engine = NLStructStoreQueryEngine(index)
diff --git a/llama-index-core/tests/indices/test_loading.py b/llama-index-core/tests/indices/test_loading.py
index 28da6fb7547d29aa7d9ef8a9ca51af54abab235f..a136f285c997529361e11bd78a9b3397f56cb7d7 100644
--- a/llama-index-core/tests/indices/test_loading.py
+++ b/llama-index-core/tests/indices/test_loading.py
@@ -8,16 +8,12 @@ from llama_index.core.indices.loading import (
load_indices_from_storage,
)
from llama_index.core.indices.vector_store.base import VectorStoreIndex
-from llama_index.core.query_engine.retriever_query_engine import (
- RetrieverQueryEngine,
-)
from llama_index.core.schema import BaseNode, Document
-from llama_index.core.service_context import ServiceContext
from llama_index.core.storage.storage_context import StorageContext
def test_load_index_from_storage_simple(
- documents: List[Document], tmp_path: Path, mock_service_context: ServiceContext
+ documents: List[Document], tmp_path: Path
) -> None:
# construct simple (i.e. in memory) storage context
storage_context = StorageContext.from_defaults()
@@ -26,7 +22,6 @@ def test_load_index_from_storage_simple(
index = VectorStoreIndex.from_documents(
documents=documents,
storage_context=storage_context,
- service_context=mock_service_context,
)
# persist storage to disk
@@ -36,17 +31,13 @@ def test_load_index_from_storage_simple(
new_storage_context = StorageContext.from_defaults(persist_dir=str(tmp_path))
# load index
- new_index = load_index_from_storage(
- storage_context=new_storage_context, service_context=mock_service_context
- )
+ new_index = load_index_from_storage(storage_context=new_storage_context)
assert index.index_id == new_index.index_id
def test_load_index_from_storage_multiple(
- nodes: List[BaseNode],
- tmp_path: Path,
- mock_service_context: ServiceContext,
+ nodes: List[BaseNode], tmp_path: Path
) -> None:
# construct simple (i.e. in memory) storage context
storage_context = StorageContext.from_defaults()
@@ -55,18 +46,10 @@ def test_load_index_from_storage_multiple(
storage_context.docstore.add_documents(nodes)
# construct multiple indices
- vector_index = VectorStoreIndex(
- nodes=nodes,
- storage_context=storage_context,
- service_context=mock_service_context,
- )
+ vector_index = VectorStoreIndex(nodes=nodes, storage_context=storage_context)
vector_id = vector_index.index_id
- summary_index = SummaryIndex(
- nodes=nodes,
- storage_context=storage_context,
- service_context=mock_service_context,
- )
+ summary_index = SummaryIndex(nodes=nodes, storage_context=storage_context)
list_id = summary_index.index_id
@@ -78,9 +61,7 @@ def test_load_index_from_storage_multiple(
# load single index should fail since there are multiple indices in index store
with pytest.raises(ValueError):
- load_index_from_storage(
- new_storage_context, service_context=mock_service_context
- )
+ load_index_from_storage(new_storage_context)
# test load all indices
indices = load_indices_from_storage(storage_context)
@@ -98,18 +79,14 @@ def test_load_index_from_storage_multiple(
def test_load_index_from_storage_retrieval_result_identical(
- documents: List[Document],
- tmp_path: Path,
- mock_service_context: ServiceContext,
+ documents: List[Document], tmp_path: Path
) -> None:
# construct simple (i.e. in memory) storage context
storage_context = StorageContext.from_defaults()
# construct index
index = VectorStoreIndex.from_documents(
- documents=documents,
- storage_context=storage_context,
- service_context=mock_service_context,
+ documents=documents, storage_context=storage_context
)
nodes = index.as_retriever().retrieve("test query str")
@@ -121,46 +98,8 @@ def test_load_index_from_storage_retrieval_result_identical(
new_storage_context = StorageContext.from_defaults(persist_dir=str(tmp_path))
# load index
- new_index = load_index_from_storage(
- new_storage_context, service_context=mock_service_context
- )
+ new_index = load_index_from_storage(new_storage_context)
new_nodes = new_index.as_retriever().retrieve("test query str")
assert nodes == new_nodes
-
-
-def test_load_index_query_engine_service_context(
- documents: List[Document],
- tmp_path: Path,
- mock_service_context: ServiceContext,
-) -> None:
- # construct simple (i.e. in memory) storage context
- storage_context = StorageContext.from_defaults()
-
- # construct index
- index = VectorStoreIndex.from_documents(
- documents=documents,
- storage_context=storage_context,
- service_context=mock_service_context,
- )
-
- # persist storage to disk
- storage_context.persist(str(tmp_path))
-
- # load storage context
- new_storage_context = StorageContext.from_defaults(persist_dir=str(tmp_path))
-
- # load index
- new_index = load_index_from_storage(
- storage_context=new_storage_context, service_context=mock_service_context
- )
-
- query_engine = index.as_query_engine()
- new_query_engine = new_index.as_query_engine()
-
- # make types happy
- assert isinstance(query_engine, RetrieverQueryEngine)
- assert isinstance(new_query_engine, RetrieverQueryEngine)
- # Ensure that the loaded index will end up querying with the same service_context
- assert new_query_engine._response_synthesizer._llm == mock_service_context.llm
diff --git a/llama-index-core/tests/indices/test_loading_graph.py b/llama-index-core/tests/indices/test_loading_graph.py
index d478dd075af42ac48cf5e1947379119fdd18dbc9..ce5ac97a475417aff1981e26d1ab90cdb679952d 100644
--- a/llama-index-core/tests/indices/test_loading_graph.py
+++ b/llama-index-core/tests/indices/test_loading_graph.py
@@ -6,14 +6,11 @@ from llama_index.core.indices.list.base import SummaryIndex
from llama_index.core.indices.loading import load_graph_from_storage
from llama_index.core.indices.vector_store.base import VectorStoreIndex
from llama_index.core.schema import Document
-from llama_index.core.service_context import ServiceContext
from llama_index.core.storage.storage_context import StorageContext
def test_load_graph_from_storage_simple(
- documents: List[Document],
- tmp_path: Path,
- mock_service_context: ServiceContext,
+ documents: List[Document], tmp_path: Path
) -> None:
# construct simple (i.e. in memory) storage context
storage_context = StorageContext.from_defaults()
@@ -22,21 +19,18 @@ def test_load_graph_from_storage_simple(
vector_index_1 = VectorStoreIndex.from_documents(
documents=documents,
storage_context=storage_context,
- service_context=mock_service_context,
)
# construct second index, testing vector store overlap
vector_index_2 = VectorStoreIndex.from_documents(
documents=documents,
storage_context=storage_context,
- service_context=mock_service_context,
)
# construct index
summary_index = SummaryIndex.from_documents(
documents=documents,
storage_context=storage_context,
- service_context=mock_service_context,
)
# construct graph
@@ -45,7 +39,6 @@ def test_load_graph_from_storage_simple(
children_indices=[vector_index_1, vector_index_2, summary_index],
index_summaries=["vector index 1", "vector index 2", "summary index"],
storage_context=storage_context,
- service_context=mock_service_context,
)
query_engine = graph.as_query_engine()
@@ -58,9 +51,7 @@ def test_load_graph_from_storage_simple(
new_storage_context = StorageContext.from_defaults(persist_dir=str(tmp_path))
# load index
- new_graph = load_graph_from_storage(
- new_storage_context, root_id=graph.root_id, service_context=mock_service_context
- )
+ new_graph = load_graph_from_storage(new_storage_context, root_id=graph.root_id)
new_query_engine = new_graph.as_query_engine()
new_response = new_query_engine.query("test query")
diff --git a/llama-index-core/tests/indices/test_service_context.py b/llama-index-core/tests/indices/test_service_context.py
deleted file mode 100644
index b7c222682fdaeb2deb73f87957b5a768fe15a853..0000000000000000000000000000000000000000
--- a/llama-index-core/tests/indices/test_service_context.py
+++ /dev/null
@@ -1,56 +0,0 @@
-from typing import List
-
-from llama_index.core.embeddings.mock_embed_model import MockEmbedding
-from llama_index.core.extractors import (
- QuestionsAnsweredExtractor,
- SummaryExtractor,
- TitleExtractor,
-)
-from llama_index.core.indices.prompt_helper import PromptHelper
-from llama_index.core.llms.mock import MockLLM
-from llama_index.core.node_parser import SentenceSplitter
-from llama_index.core.schema import TransformComponent
-from llama_index.core.service_context import ServiceContext
-
-
-def test_service_context_serialize() -> None:
- extractors: List[TransformComponent] = [
- SummaryExtractor(),
- QuestionsAnsweredExtractor(),
- TitleExtractor(),
- ]
-
- node_parser = SentenceSplitter(chunk_size=1, chunk_overlap=0)
-
- transformations: List[TransformComponent] = [node_parser, *extractors]
-
- llm = MockLLM(max_tokens=1)
- embed_model = MockEmbedding(embed_dim=1)
-
- prompt_helper = PromptHelper(context_window=1)
-
- service_context = ServiceContext.from_defaults(
- llm=llm,
- embed_model=embed_model,
- transformations=transformations,
- prompt_helper=prompt_helper,
- )
-
- service_context_dict = service_context.to_dict()
-
- assert service_context_dict["llm"]["max_tokens"] == 1
- assert service_context_dict["embed_model"]["embed_dim"] == 1
- assert service_context_dict["prompt_helper"]["context_window"] == 1
-
- loaded_service_context = ServiceContext.from_dict(service_context_dict)
-
- assert isinstance(loaded_service_context.llm, MockLLM)
- assert isinstance(loaded_service_context.embed_model, MockEmbedding)
- assert isinstance(loaded_service_context.transformations[0], SentenceSplitter)
- assert isinstance(loaded_service_context.prompt_helper, PromptHelper)
-
- assert len(loaded_service_context.transformations) == 4
- assert loaded_service_context.transformations[0].chunk_size == 1
- assert loaded_service_context.prompt_helper.context_window == 1
- assert loaded_service_context.llm.max_tokens == 1
- assert loaded_service_context.embed_model.embed_dim == 1
diff --git a/llama-index-core/tests/indices/tree/test_embedding_retriever.py b/llama-index-core/tests/indices/tree/test_embedding_retriever.py
index 301c1cf1105f8f83a8902a2b8180e625b750e8d4..097ca40511a3f5df473b73c9ca136468c5e23274 100644
--- a/llama-index-core/tests/indices/tree/test_embedding_retriever.py
+++ b/llama-index-core/tests/indices/tree/test_embedding_retriever.py
@@ -10,7 +10,6 @@ from llama_index.core.indices.tree.select_leaf_embedding_retriever import (
TreeSelectLeafEmbeddingRetriever,
)
from llama_index.core.schema import BaseNode, Document, QueryBundle
-from llama_index.core.service_context import ServiceContext
from tests.mock_utils.mock_prompts import (
MOCK_INSERT_PROMPT,
MOCK_SUMMARY_PROMPT,
@@ -66,20 +65,14 @@ def test_embedding_query(
_patch_similarity: Any,
index_kwargs: Dict,
documents: List[Document],
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
) -> None:
"""Test embedding query."""
- tree = TreeIndex.from_documents(
- documents, service_context=mock_service_context, **index_kwargs
- )
+ tree = TreeIndex.from_documents(documents, **index_kwargs)
# test embedding query
query_str = "What is?"
retriever = tree.as_retriever(retriever_mode="select_leaf_embedding")
nodes = retriever.retrieve(QueryBundle(query_str))
assert nodes[0].node.get_content() == "Hello world."
-
-
-def _mock_tokenizer(text: str) -> int:
- """Mock tokenizer that splits by spaces."""
- return len(text.split(" "))
diff --git a/llama-index-core/tests/indices/tree/test_index.py b/llama-index-core/tests/indices/tree/test_index.py
index 36aaafb8cacd6a97a1265f908327debaa7a306df..bca73105eb88606ae7f43eec8ae846a059edc5b0 100644
--- a/llama-index-core/tests/indices/tree/test_index.py
+++ b/llama-index-core/tests/indices/tree/test_index.py
@@ -6,7 +6,6 @@ from unittest.mock import patch
from llama_index.core.data_structs.data_structs import IndexGraph
from llama_index.core.indices.tree.base import TreeIndex
from llama_index.core.schema import BaseNode, Document
-from llama_index.core.service_context import ServiceContext
from llama_index.core.storage.docstore import BaseDocumentStore
@@ -26,14 +25,13 @@ def _get_left_or_right_node(
def test_build_tree(
documents: List[Document],
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
struct_kwargs: Dict,
) -> None:
"""Test build tree."""
index_kwargs, _ = struct_kwargs
- tree = TreeIndex.from_documents(
- documents, service_context=mock_service_context, **index_kwargs
- )
+ tree = TreeIndex.from_documents(documents, **index_kwargs)
assert len(tree.index_struct.all_nodes) == 6
# check contents of nodes
@@ -53,8 +51,9 @@ def test_build_tree(
def test_build_tree_with_embed(
documents: List[Document],
- mock_service_context: ServiceContext,
struct_kwargs: Dict,
+ patch_llm_predictor,
+ patch_token_text_splitter,
) -> None:
"""Test build tree."""
index_kwargs, _ = struct_kwargs
@@ -65,9 +64,7 @@ def test_build_tree_with_embed(
"This is a test v2."
)
document = Document(text=doc_text, embedding=[0.1, 0.2, 0.3])
- tree = TreeIndex.from_documents(
- [document], service_context=mock_service_context, **index_kwargs
- )
+ tree = TreeIndex.from_documents([document], **index_kwargs)
assert len(tree.index_struct.all_nodes) == 6
# check contents of nodes
all_nodes = tree.docstore.get_node_dict(tree.index_struct.all_nodes)
@@ -95,14 +92,13 @@ OUTPUTS = [
def test_build_tree_async(
_mock_run_async_tasks: Any,
documents: List[Document],
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
struct_kwargs: Dict,
) -> None:
"""Test build tree with use_async."""
index_kwargs, _ = struct_kwargs
- tree = TreeIndex.from_documents(
- documents, use_async=True, service_context=mock_service_context, **index_kwargs
- )
+ tree = TreeIndex.from_documents(documents, use_async=True, **index_kwargs)
assert len(tree.index_struct.all_nodes) == 6
# check contents of nodes
nodes = tree.docstore.get_nodes(list(tree.index_struct.all_nodes.values()))
@@ -115,7 +111,8 @@ def test_build_tree_async(
def test_build_tree_multiple(
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
struct_kwargs: Dict,
) -> None:
"""Test build tree."""
@@ -124,9 +121,7 @@ def test_build_tree_multiple(
Document(text="This is another test.\nThis is a test v2."),
]
index_kwargs, _ = struct_kwargs
- tree = TreeIndex.from_documents(
- new_docs, service_context=mock_service_context, **index_kwargs
- )
+ tree = TreeIndex.from_documents(new_docs, **index_kwargs)
assert len(tree.index_struct.all_nodes) == 6
# check contents of nodes
nodes = tree.docstore.get_nodes(list(tree.index_struct.all_nodes.values()))
@@ -138,14 +133,13 @@ def test_build_tree_multiple(
def test_insert(
documents: List[Document],
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
struct_kwargs: Dict,
) -> None:
"""Test insert."""
index_kwargs, _ = struct_kwargs
- tree = TreeIndex.from_documents(
- documents, service_context=mock_service_context, **index_kwargs
- )
+ tree = TreeIndex.from_documents(documents, **index_kwargs)
# test insert
new_doc = Document(text="This is a new doc.", id_="new_doc")
@@ -176,9 +170,7 @@ def test_insert(
assert right_root3.ref_doc_id == "new_doc"
# test insert from empty (no_id)
- tree = TreeIndex.from_documents(
- [], service_context=mock_service_context, **index_kwargs
- )
+ tree = TreeIndex.from_documents([], **index_kwargs)
new_doc = Document(text="This is a new doc.")
tree.insert(new_doc)
nodes = tree.docstore.get_nodes(list(tree.index_struct.all_nodes.values()))
@@ -186,9 +178,7 @@ def test_insert(
assert nodes[0].get_content() == "This is a new doc."
# test insert from empty (with_id)
- tree = TreeIndex.from_documents(
- [], service_context=mock_service_context, **index_kwargs
- )
+ tree = TreeIndex.from_documents([], **index_kwargs)
new_doc = Document(text="This is a new doc.", id_="new_doc_test")
tree.insert(new_doc)
assert len(tree.index_struct.all_nodes) == 1
@@ -197,11 +187,9 @@ def test_insert(
assert nodes[0].ref_doc_id == "new_doc_test"
-def test_twice_insert_empty(
- mock_service_context: ServiceContext,
-) -> None:
+def test_twice_insert_empty(patch_llm_predictor, patch_token_text_splitter) -> None:
"""# test twice insert from empty (with_id)."""
- tree = TreeIndex.from_documents([], service_context=mock_service_context)
+ tree = TreeIndex.from_documents([])
# test first insert
new_doc = Document(text="This is a new doc.", id_="new_doc")
diff --git a/llama-index-core/tests/indices/tree/test_retrievers.py b/llama-index-core/tests/indices/tree/test_retrievers.py
index 1d1c5963bf32063213c470d35b0b8d3b6ebc920a..cafc5e4b133db49420c424090478e750f02b662c 100644
--- a/llama-index-core/tests/indices/tree/test_retrievers.py
+++ b/llama-index-core/tests/indices/tree/test_retrievers.py
@@ -2,19 +2,17 @@ from typing import Dict, List
from llama_index.core.indices.tree.base import TreeIndex
from llama_index.core.schema import Document
-from llama_index.core.service_context import ServiceContext
def test_query(
documents: List[Document],
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
struct_kwargs: Dict,
) -> None:
"""Test query."""
index_kwargs, query_kwargs = struct_kwargs
- tree = TreeIndex.from_documents(
- documents, service_context=mock_service_context, **index_kwargs
- )
+ tree = TreeIndex.from_documents(documents, **index_kwargs)
# test default query
query_str = "What is?"
@@ -25,7 +23,8 @@ def test_query(
def test_summarize_query(
documents: List[Document],
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
struct_kwargs: Dict,
) -> None:
"""Test summarize query."""
@@ -33,9 +32,7 @@ def test_summarize_query(
index_kwargs, orig_query_kwargs = struct_kwargs
index_kwargs = index_kwargs.copy()
index_kwargs.update({"build_tree": False})
- tree = TreeIndex.from_documents(
- documents, service_context=mock_service_context, **index_kwargs
- )
+ tree = TreeIndex.from_documents(documents, **index_kwargs)
# test retrieve all leaf
query_str = "What is?"
diff --git a/llama-index-core/tests/indices/vector_store/test_retrievers.py b/llama-index-core/tests/indices/vector_store/test_retrievers.py
index 847c38de03947bfb30c3e1f768bd31c6ee757c61..b29f41383f9d0cf989745ab3c86362be124edf17 100644
--- a/llama-index-core/tests/indices/vector_store/test_retrievers.py
+++ b/llama-index-core/tests/indices/vector_store/test_retrievers.py
@@ -8,18 +8,17 @@ from llama_index.core.schema import (
RelatedNodeInfo,
TextNode,
)
-from llama_index.core.service_context import ServiceContext
from llama_index.core.vector_stores.simple import SimpleVectorStore
def test_simple_query(
documents: List[Document],
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
+ mock_embed_model,
) -> None:
"""Test embedding query."""
- index = VectorStoreIndex.from_documents(
- documents, service_context=mock_service_context
- )
+ index = VectorStoreIndex.from_documents(documents, embed_model=mock_embed_model)
# test embedding query
query_str = "What is?"
@@ -30,7 +29,8 @@ def test_simple_query(
def test_query_and_similarity_scores(
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
) -> None:
"""Test that sources nodes have similarity scores."""
doc_text = (
@@ -40,9 +40,7 @@ def test_query_and_similarity_scores(
"This is a test v2."
)
document = Document(text=doc_text)
- index = VectorStoreIndex.from_documents(
- [document], service_context=mock_service_context
- )
+ index = VectorStoreIndex.from_documents([document])
# test embedding query
query_str = "What is?"
@@ -53,7 +51,8 @@ def test_query_and_similarity_scores(
def test_simple_check_ids(
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
) -> None:
"""Test build VectorStoreIndex."""
ref_doc_id = "ref_doc_id_test"
@@ -64,7 +63,7 @@ def test_simple_check_ids(
TextNode(text="This is another test.", id_="node3", relationships=source_rel),
TextNode(text="This is a test v2.", id_="node4", relationships=source_rel),
]
- index = VectorStoreIndex(all_nodes, service_context=mock_service_context)
+ index = VectorStoreIndex(all_nodes)
# test query
query_str = "What is?"
@@ -78,7 +77,10 @@ def test_simple_check_ids(
assert "node3" in vector_store._data.text_id_to_ref_doc_id
-def test_query(mock_service_context: ServiceContext) -> None:
+def test_query(
+ patch_llm_predictor,
+ patch_token_text_splitter,
+) -> None:
"""Test embedding query."""
doc_text = (
"Hello world.\n"
@@ -87,9 +89,7 @@ def test_query(mock_service_context: ServiceContext) -> None:
"This is a test v2."
)
document = Document(text=doc_text)
- index = VectorStoreIndex.from_documents(
- [document], service_context=mock_service_context
- )
+ index = VectorStoreIndex.from_documents([document])
# test embedding query
query_str = "What is?"
diff --git a/llama-index-core/tests/indices/vector_store/test_simple.py b/llama-index-core/tests/indices/vector_store/test_simple.py
index 10957b0e2983e27ea313d2a775870d0057ff1110..01e74f63acc766cf5589b0500ea8123486d7a265 100644
--- a/llama-index-core/tests/indices/vector_store/test_simple.py
+++ b/llama-index-core/tests/indices/vector_store/test_simple.py
@@ -1,23 +1,24 @@
"""Test vector store indexes."""
+
import pickle
from typing import Any, List, cast
from llama_index.core.indices.loading import load_index_from_storage
from llama_index.core.indices.vector_store.base import VectorStoreIndex
-from llama_index.core.llms.mock import MockLLM
from llama_index.core.schema import Document
-from llama_index.core.service_context import ServiceContext
from llama_index.core.storage.storage_context import StorageContext
from llama_index.core.vector_stores.simple import SimpleVectorStore
def test_build_simple(
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
+ mock_embed_model,
documents: List[Document],
) -> None:
"""Test build VectorStoreIndex."""
index = VectorStoreIndex.from_documents(
- documents=documents, service_context=mock_service_context
+ documents=documents, embed_model=mock_embed_model
)
assert isinstance(index, VectorStoreIndex)
assert len(index.index_struct.nodes_dict) == 4
@@ -44,11 +45,13 @@ def test_build_simple(
def test_simple_insert(
documents: List[Document],
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
+ mock_embed_model,
) -> None:
"""Test insert VectorStoreIndex."""
index = VectorStoreIndex.from_documents(
- documents=documents, service_context=mock_service_context
+ documents=documents, embed_model=mock_embed_model
)
assert isinstance(index, VectorStoreIndex)
# insert into index
@@ -72,7 +75,7 @@ def test_simple_insert(
def test_simple_delete(
- mock_service_context: ServiceContext,
+ patch_llm_predictor, patch_token_text_splitter, mock_embed_model
) -> None:
"""Test delete VectorStoreIndex."""
new_documents = [
@@ -82,7 +85,7 @@ def test_simple_delete(
Document(text="This is a test v2.", id_="test_id_3"),
]
index = VectorStoreIndex.from_documents(
- documents=new_documents, service_context=mock_service_context
+ documents=new_documents, embed_model=mock_embed_model
)
assert isinstance(index, VectorStoreIndex)
@@ -121,7 +124,7 @@ def test_simple_delete(
def test_simple_delete_ref_node_from_docstore(
- mock_service_context: ServiceContext,
+ patch_llm_predictor, patch_token_text_splitter, mock_embed_model
) -> None:
"""Test delete VectorStoreIndex."""
new_documents = [
@@ -129,7 +132,7 @@ def test_simple_delete_ref_node_from_docstore(
Document(text="This is another test.", id_="test_id_2"),
]
index = VectorStoreIndex.from_documents(
- documents=new_documents, service_context=mock_service_context
+ documents=new_documents, embed_model=mock_embed_model
)
assert isinstance(index, VectorStoreIndex)
@@ -148,11 +151,13 @@ def test_simple_delete_ref_node_from_docstore(
def test_simple_async(
allow_networking: Any,
documents: List[Document],
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
+ mock_embed_model,
) -> None:
"""Test simple vector index with use_async."""
index = VectorStoreIndex.from_documents(
- documents=documents, use_async=True, service_context=mock_service_context
+ documents=documents, use_async=True, embed_model=mock_embed_model
)
assert isinstance(index, VectorStoreIndex)
assert len(index.index_struct.nodes_dict) == 4
@@ -173,12 +178,14 @@ def test_simple_async(
def test_simple_insert_save(
documents: List[Document],
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
+ mock_embed_model,
) -> None:
storage_context = StorageContext.from_defaults()
index = VectorStoreIndex.from_documents(
documents=documents,
- service_context=mock_service_context,
+ embed_model=mock_embed_model,
storage_context=storage_context,
)
assert isinstance(index, VectorStoreIndex)
@@ -196,17 +203,14 @@ def test_simple_insert_save(
def test_simple_pickle(
- mock_service_context: ServiceContext,
+ patch_llm_predictor,
+ patch_token_text_splitter,
+ mock_embed_model,
documents: List[Document],
) -> None:
"""Test build VectorStoreIndex."""
- service_context = ServiceContext.from_service_context(
- mock_service_context,
- llm=MockLLM(),
- )
-
index = VectorStoreIndex.from_documents(
- documents=documents, service_context=service_context
+ documents=documents, embed_model=mock_embed_model
)
data = pickle.dumps(index)
diff --git a/llama-index-core/tests/ingestion/test_data_sinks.py b/llama-index-core/tests/ingestion/test_data_sinks.py
index 3c6eb252913f1e9c806075f11d4f9fac996f1008..aa60eaa046775b5d8e8ab1d329976cae598965e0 100644
--- a/llama-index-core/tests/ingestion/test_data_sinks.py
+++ b/llama-index-core/tests/ingestion/test_data_sinks.py
@@ -17,14 +17,14 @@ except ImportError:
def test_can_generate_schema_for_data_sink_component_type(
configurable_data_sink_type: ConfigurableDataSinks,
) -> None:
- schema = configurable_data_sink_type.value.schema() # type: ignore
+ schema = configurable_data_sink_type.value.model_json_schema() # type: ignore
assert schema is not None
assert len(schema) > 0
# also check that we can generate schemas for
# ConfiguredDataSink[component_type]
component_type = configurable_data_sink_type.value.component_type
- configured_schema = ConfiguredDataSink[component_type].schema() # type: ignore
+ configured_schema = ConfiguredDataSink[component_type].model_json_schema() # type: ignore
assert configured_schema is not None
assert len(configured_schema) > 0
diff --git a/llama-index-core/tests/ingestion/test_data_sources.py b/llama-index-core/tests/ingestion/test_data_sources.py
index e2cbb72e4df29a136aa00dcd4e33a872220c33a3..77b792b88388957d3dc8937c6a96ad252a406376 100644
--- a/llama-index-core/tests/ingestion/test_data_sources.py
+++ b/llama-index-core/tests/ingestion/test_data_sources.py
@@ -10,14 +10,14 @@ from llama_index.core.schema import Document
def test_can_generate_schema_for_data_source_component_type(
configurable_data_source_type: ConfigurableDataSources,
) -> None:
- schema = configurable_data_source_type.value.schema() # type: ignore
+ schema = configurable_data_source_type.value.model_json_schema() # type: ignore
assert schema is not None
assert len(schema) > 0
# also check that we can generate schemas for
# ConfiguredDataSource[component_type]
component_type = configurable_data_source_type.value.component_type
- configured_schema = ConfiguredDataSource[component_type].schema() # type: ignore
+ configured_schema = ConfiguredDataSource[component_type].model_json_schema() # type: ignore
assert configured_schema is not None
assert len(configured_schema) > 0
diff --git a/llama-index-core/tests/ingestion/test_transformations.py b/llama-index-core/tests/ingestion/test_transformations.py
index f4e7fa9b17d398ee7eda56076f31ac78235dc125..41c15933b9f662d18dd1ddeb6057bce5f2a51037 100644
--- a/llama-index-core/tests/ingestion/test_transformations.py
+++ b/llama-index-core/tests/ingestion/test_transformations.py
@@ -12,7 +12,7 @@ from llama_index.core.node_parser.text import SentenceSplitter, TokenTextSplitte
def test_can_generate_schema_for_transformation_component_type(
configurable_transformation_type: ConfigurableTransformations,
) -> None:
- schema = configurable_transformation_type.value.schema() # type: ignore
+ schema = configurable_transformation_type.value.model_json_schema() # type: ignore
assert schema is not None
assert len(schema) > 0
@@ -21,7 +21,7 @@ def test_can_generate_schema_for_transformation_component_type(
component_type = configurable_transformation_type.value.component_type
configured_schema = ConfiguredTransformation[
component_type # type: ignore
- ].schema()
+ ].model_json_schema()
assert configured_schema is not None
assert len(configured_schema) > 0
diff --git a/llama-index-core/tests/instrumentation/test_dispatcher.py b/llama-index-core/tests/instrumentation/test_dispatcher.py
index 6240fc82d80c20627f2b00d656ac24608efc161f..2607ec4683f5ee5ee28d5be2a31fde74ae6f267d 100644
--- a/llama-index-core/tests/instrumentation/test_dispatcher.py
+++ b/llama-index-core/tests/instrumentation/test_dispatcher.py
@@ -49,7 +49,7 @@ class _TestEndEvent(BaseEvent):
class _TestEventHandler(BaseEventHandler):
- events = []
+ events: List[BaseEvent] = []
@classmethod
def class_name(cls):
diff --git a/llama-index-core/tests/node_parser/metadata_extractor.py b/llama-index-core/tests/node_parser/metadata_extractor.py
index e7eb7f97f8f4554363a9bb262e484598aed1258e..9a30f3ebe515a88f389aaa62dcdbd2bba2607c7d 100644
--- a/llama-index-core/tests/node_parser/metadata_extractor.py
+++ b/llama-index-core/tests/node_parser/metadata_extractor.py
@@ -9,10 +9,9 @@ from llama_index.core.extractors import (
from llama_index.core.ingestion import run_transformations
from llama_index.core.node_parser import SentenceSplitter
from llama_index.core.schema import Document, TransformComponent
-from llama_index.core.service_context import ServiceContext
-def test_metadata_extractor(mock_service_context: ServiceContext) -> None:
+def test_metadata_extractor() -> None:
extractors: List[TransformComponent] = [
TitleExtractor(nodes=5),
QuestionsAnsweredExtractor(questions=3),
diff --git a/llama-index-core/tests/objects/test_base.py b/llama-index-core/tests/objects/test_base.py
index ca2f96b3442a94b893e472ae0e26c0c2080f0c1f..0d859d14c01b487807df3c6ccecab000a9ba5338 100644
--- a/llama-index-core/tests/objects/test_base.py
+++ b/llama-index-core/tests/objects/test_base.py
@@ -4,12 +4,11 @@ from llama_index.core.indices.list.base import SummaryIndex
from llama_index.core.objects.base import ObjectIndex
from llama_index.core.objects.base_node_mapping import SimpleObjectNodeMapping
from llama_index.core.objects.tool_node_mapping import SimpleToolNodeMapping
-from llama_index.core.service_context import ServiceContext
from llama_index.core.tools.function_tool import FunctionTool
from llama_index.core.schema import TextNode
-def test_object_index(mock_service_context: ServiceContext) -> None:
+def test_object_index() -> None:
"""Test object index."""
object_mapping = SimpleObjectNodeMapping.from_objects(["a", "b", "c"])
obj_index = ObjectIndex.from_objects(
@@ -23,7 +22,7 @@ def test_object_index(mock_service_context: ServiceContext) -> None:
assert obj_index.as_retriever().retrieve("test") == ["a", "b", "c", "d"]
-def test_object_index_default_mapping(mock_service_context: ServiceContext) -> None:
+def test_object_index_default_mapping() -> None:
"""Test object index."""
obj_index = ObjectIndex.from_objects(["a", "b", "c"], index_cls=SummaryIndex)
# should just retrieve everything
@@ -34,7 +33,7 @@ def test_object_index_default_mapping(mock_service_context: ServiceContext) -> N
assert obj_index.as_retriever().retrieve("test") == ["a", "b", "c", "d"]
-def test_object_index_fn_mapping(mock_service_context: ServiceContext) -> None:
+def test_object_index_fn_mapping() -> None:
"""Test object index."""
objects = {obj: obj for obj in ["a", "b", "c", "d"]}
print(objects)
@@ -60,7 +59,7 @@ def test_object_index_fn_mapping(mock_service_context: ServiceContext) -> None:
assert obj_index.as_retriever().retrieve("test") == ["a", "b", "c", "d"]
-def test_object_index_persist(mock_service_context: ServiceContext) -> None:
+def test_object_index_persist() -> None:
"""Test object index persist/load."""
object_mapping = SimpleObjectNodeMapping.from_objects(["a", "b", "c"])
obj_index = ObjectIndex.from_objects(
@@ -88,7 +87,7 @@ def test_object_index_persist(mock_service_context: ServiceContext) -> None:
)
-def test_object_index_with_tools(mock_service_context: ServiceContext) -> None:
+def test_object_index_with_tools() -> None:
"""Test object index with tools."""
tool1 = FunctionTool.from_defaults(fn=lambda x: x, name="test_tool")
tool2 = FunctionTool.from_defaults(fn=lambda x, y: x + y, name="test_tool2")
diff --git a/llama-index-core/tests/objects/test_node_mapping.py b/llama-index-core/tests/objects/test_node_mapping.py
index e8d7e163e6ef5da1f5932b0deabc0d4bf1d997cd..c6e3f9e75648939f3700760d4e3f5c613869f1d1 100644
--- a/llama-index-core/tests/objects/test_node_mapping.py
+++ b/llama-index-core/tests/objects/test_node_mapping.py
@@ -12,7 +12,7 @@ from llama_index.core.tools.function_tool import FunctionTool
from pytest_mock import MockerFixture
-class TestObject(BaseModel):
+class _TestObject(BaseModel):
"""Test object for node mapping."""
__test__ = False
@@ -23,10 +23,10 @@ class TestObject(BaseModel):
return hash(self.name)
def __str__(self) -> str:
- return f"TestObject(name='{self.name}')"
+ return f"_TestObject(name='{self.name}')"
-class TestSQLDatabase(SQLDatabase):
+class _TestSQLDatabase(SQLDatabase):
"""Test object for SQL Table Schema Node Mapping."""
def __init__(self) -> None:
@@ -40,9 +40,9 @@ def test_simple_object_node_mapping() -> None:
assert node_mapping.to_node("a").text == "a"
assert node_mapping.from_node(node_mapping.to_node("a")) == "a"
- objects = [TestObject(name="a"), TestObject(name="b"), TestObject(name="c")]
+ objects = [_TestObject(name="a"), _TestObject(name="b"), _TestObject(name="c")]
node_mapping = SimpleObjectNodeMapping.from_objects(objects)
- assert node_mapping.to_node(objects[0]).text == "TestObject(name='a')"
+ assert node_mapping.to_node(objects[0]).text == "_TestObject(name='a')"
assert node_mapping.from_node(node_mapping.to_node(objects[0])) == objects[0]
@@ -102,7 +102,7 @@ def test_sql_table_node_mapping_to_node(mocker: MockerFixture) -> None:
tables = [table1, table2]
# Create the mapping
- sql_database = TestSQLDatabase()
+ sql_database = _TestSQLDatabase()
mapping = SQLTableNodeMapping(sql_database)
# Create the nodes
diff --git a/llama-index-core/tests/playground/test_base.py b/llama-index-core/tests/playground/test_base.py
index afaf112085fb2edaa0f6bd4097c398bbdc170c71..0e9f165839f80e3319fd5650a09d53df46e48a62 100644
--- a/llama-index-core/tests/playground/test_base.py
+++ b/llama-index-core/tests/playground/test_base.py
@@ -13,7 +13,6 @@ from llama_index.core.playground import (
Playground,
)
from llama_index.core.schema import Document
-from llama_index.core.service_context import ServiceContext
class MockEmbedding(BaseEmbedding):
@@ -80,21 +79,16 @@ class MockEmbedding(BaseEmbedding):
return [0, 0, 1, 0, 0]
-def test_get_set_compare(
- mock_service_context: ServiceContext,
-) -> None:
+def test_get_set_compare(patch_llm_predictor, patch_token_text_splitter) -> None:
"""Test basic comparison of indices."""
- mock_service_context.embed_model = MockEmbedding()
documents = [Document(text="They're taking the Hobbits to Isengard!")]
indices = [
VectorStoreIndex.from_documents(
- documents=documents, service_context=mock_service_context
- ),
- SummaryIndex.from_documents(documents, service_context=mock_service_context),
- TreeIndex.from_documents(
- documents=documents, service_context=mock_service_context
+ documents=documents, embed_model=MockEmbedding()
),
+ SummaryIndex.from_documents(documents),
+ TreeIndex.from_documents(documents=documents),
]
playground = Playground(indices=indices) # type: ignore
@@ -107,36 +101,27 @@ def test_get_set_compare(
playground.indices = [
VectorStoreIndex.from_documents(
- documents=documents, service_context=mock_service_context
+ documents=documents, embed_model=MockEmbedding()
)
]
assert len(playground.indices) == 1
-def test_from_docs(
- mock_service_context: ServiceContext,
-) -> None:
+def test_from_docs(patch_llm_predictor, patch_token_text_splitter) -> None:
"""Test initialization via a list of documents."""
- mock_service_context.embed_model = MockEmbedding()
documents = [
Document(text="I can't carry it for you."),
Document(text="But I can carry you!"),
]
- playground = Playground.from_docs(
- documents=documents, service_context=mock_service_context
- )
+ playground = Playground.from_docs(documents=documents)
assert len(playground.indices) == len(DEFAULT_INDEX_CLASSES)
assert len(playground.retriever_modes) == len(DEFAULT_MODES)
with pytest.raises(ValueError):
- playground = Playground.from_docs(
- documents=documents,
- retriever_modes={},
- service_context=mock_service_context,
- )
+ playground = Playground.from_docs(documents=documents, retriever_modes={})
def test_validation() -> None:
diff --git a/llama-index-core/tests/postprocessor/test_base.py b/llama-index-core/tests/postprocessor/test_base.py
index effd40162e7d8a3818669be6b721c951f31dd6c8..8106398197347825bddd1d4bc38f32cb8beeef77 100644
--- a/llama-index-core/tests/postprocessor/test_base.py
+++ b/llama-index-core/tests/postprocessor/test_base.py
@@ -22,7 +22,6 @@ from llama_index.core.schema import (
RelatedNodeInfo,
TextNode,
)
-from llama_index.core.service_context import ServiceContext
from llama_index.core.storage.docstore.simple_docstore import SimpleDocumentStore
spacy_installed = bool(find_spec("spacy"))
@@ -70,7 +69,10 @@ def test_forward_back_processor(tmp_path: Path) -> None:
docstore=docstore, num_nodes=1, mode="next"
)
processed_nodes = node_postprocessor.postprocess_nodes(
- [nodes_with_scores[1], nodes_with_scores[2]]
+ [
+ nodes_with_scores[1],
+ nodes_with_scores[2],
+ ]
)
assert len(processed_nodes) == 3
assert processed_nodes[0].node.node_id == "2"
@@ -82,7 +84,10 @@ def test_forward_back_processor(tmp_path: Path) -> None:
docstore=docstore, num_nodes=1, mode="previous"
)
processed_nodes = node_postprocessor.postprocess_nodes(
- [nodes_with_scores[1], nodes_with_scores[2]]
+ [
+ nodes_with_scores[1],
+ nodes_with_scores[2],
+ ]
)
assert len(processed_nodes) == 3
assert processed_nodes[0].node.node_id == "3"
@@ -118,7 +123,10 @@ def test_forward_back_processor(tmp_path: Path) -> None:
docstore=docstore, num_nodes=1, mode="both"
)
processed_nodes = node_postprocessor.postprocess_nodes(
- [nodes_with_scores[0], nodes_with_scores[4]]
+ [
+ nodes_with_scores[0],
+ nodes_with_scores[4],
+ ]
)
assert len(processed_nodes) == 4
# nodes are sorted
@@ -132,7 +140,10 @@ def test_forward_back_processor(tmp_path: Path) -> None:
docstore=docstore, num_nodes=0, mode="both"
)
processed_nodes = node_postprocessor.postprocess_nodes(
- [nodes_with_scores[0], nodes_with_scores[4]]
+ [
+ nodes_with_scores[0],
+ nodes_with_scores[4],
+ ]
)
assert len(processed_nodes) == 2
# nodes are sorted
@@ -144,9 +155,7 @@ def test_forward_back_processor(tmp_path: Path) -> None:
PrevNextNodePostprocessor(docstore=docstore, num_nodes=4, mode="asdfasdf")
-def test_fixed_recency_postprocessor(
- mock_service_context: ServiceContext,
-) -> None:
+def test_fixed_recency_postprocessor() -> None:
"""Test fixed recency processor."""
# try in metadata
nodes = [
@@ -177,9 +186,7 @@ def test_fixed_recency_postprocessor(
]
node_with_scores = [NodeWithScore(node=node) for node in nodes]
- postprocessor = FixedRecencyPostprocessor(
- top_k=1, service_context=mock_service_context
- )
+ postprocessor = FixedRecencyPostprocessor(top_k=1)
query_bundle: QueryBundle = QueryBundle(query_str="What is?")
result_nodes = postprocessor.postprocess_nodes(
node_with_scores, query_bundle=query_bundle
@@ -191,9 +198,7 @@ def test_fixed_recency_postprocessor(
)
-def test_embedding_recency_postprocessor(
- mock_service_context: ServiceContext,
-) -> None:
+def test_embedding_recency_postprocessor() -> None:
"""Test fixed recency processor."""
# try in node info
nodes = [
@@ -232,7 +237,6 @@ def test_embedding_recency_postprocessor(
postprocessor = EmbeddingRecencyPostprocessor(
top_k=1,
- embed_model=mock_service_context.embed_model,
in_metadata=False,
query_embedding_tmpl="{context_str}",
)
diff --git a/llama-index-core/tests/postprocessor/test_llm_rerank.py b/llama-index-core/tests/postprocessor/test_llm_rerank.py
index be733971912b04329ce3a1c055bc654b25bd1066..d63c578a9a8926ca2122e1e12628fee79f30696e 100644
--- a/llama-index-core/tests/postprocessor/test_llm_rerank.py
+++ b/llama-index-core/tests/postprocessor/test_llm_rerank.py
@@ -7,7 +7,6 @@ from llama_index.core.llms.mock import MockLLM
from llama_index.core.postprocessor.llm_rerank import LLMRerank
from llama_index.core.prompts import BasePromptTemplate
from llama_index.core.schema import BaseNode, NodeWithScore, QueryBundle, TextNode
-from llama_index.core.service_context import ServiceContext
def mock_llmpredictor_predict(
@@ -46,7 +45,7 @@ def mock_format_node_batch_fn(nodes: List[BaseNode]) -> str:
"predict",
mock_llmpredictor_predict,
)
-def test_llm_rerank(mock_service_context: ServiceContext) -> None:
+def test_llm_rerank() -> None:
"""Test LLM rerank."""
nodes = [
TextNode(text="Test"),
@@ -63,10 +62,7 @@ def test_llm_rerank(mock_service_context: ServiceContext) -> None:
# choice batch size 4 (so two batches)
# take top-3 across all data
llm_rerank = LLMRerank(
- format_node_batch_fn=mock_format_node_batch_fn,
- choice_batch_size=4,
- top_n=3,
- service_context=mock_service_context,
+ format_node_batch_fn=mock_format_node_batch_fn, choice_batch_size=4, top_n=3
)
query_str = "What is?"
result_nodes = llm_rerank.postprocess_nodes(
diff --git a/llama-index-core/tests/query_engine/test_retriever_query_engine.py b/llama-index-core/tests/query_engine/test_retriever_query_engine.py
index 4ded2cf3228d4837ec873b5209cac002f9e4a902..39388581612e1abae8ee6ca72b257cd03232c8c4 100644
--- a/llama-index-core/tests/query_engine/test_retriever_query_engine.py
+++ b/llama-index-core/tests/query_engine/test_retriever_query_engine.py
@@ -1,43 +1,20 @@
-import pytest
-from llama_index.core import (
- Document,
- ServiceContext,
- TreeIndex,
-)
-from llama_index.core.indices.tree.select_leaf_retriever import (
- TreeSelectLeafRetriever,
-)
-from llama_index.core.query_engine.retriever_query_engine import (
- RetrieverQueryEngine,
-)
+from llama_index.core import Document, TreeIndex
+from llama_index.core.indices.tree.select_leaf_retriever import TreeSelectLeafRetriever
+from llama_index.core.query_engine.retriever_query_engine import RetrieverQueryEngine
+from llama_index.core import Settings
-try:
- from llama_index.llms.openai import OpenAI # pants: no-infer-dep
-except ImportError:
- OpenAI = None # type: ignore
-
-@pytest.mark.skipif(OpenAI is None, reason="llama-index-llms-openai not installed")
-def test_query_engine_falls_back_to_inheriting_retrievers_service_context() -> None:
+def test_query_engine_falls_back_to_inheriting_retrievers_service_context(
+ monkeypatch, mock_llm
+) -> None:
documents = [Document(text="Hi")]
- gpt35turbo_predictor = OpenAI(
- temperature=0,
- model_name="gpt-3.5-turbo-0613",
- streaming=True,
- openai_api_key="test-test-test",
- )
- gpt35_sc = ServiceContext.from_defaults(
- llm=gpt35turbo_predictor,
- chunk_size=512,
- )
+ monkeypatch.setattr(Settings, "llm", mock_llm)
- gpt35_tree_index = TreeIndex.from_documents(documents, service_context=gpt35_sc)
+ gpt35_tree_index = TreeIndex.from_documents(documents)
retriever = TreeSelectLeafRetriever(index=gpt35_tree_index, child_branch_factor=2)
query_engine = RetrieverQueryEngine(retriever=retriever)
- assert (
- retriever._llm.metadata.model_name == gpt35turbo_predictor.metadata.model_name
- )
+ assert retriever._llm.class_name() == "MockLLM"
assert (
query_engine._response_synthesizer._llm.metadata.model_name
== retriever._llm.metadata.model_name
diff --git a/llama-index-core/tests/response_synthesizers/test_refine.py b/llama-index-core/tests/response_synthesizers/test_refine.py
index 7689efdc5b960804b531cb6c0ee8bf45540ab0d6..897d27df77322946c4e5a690143e9b371328a85c 100644
--- a/llama-index-core/tests/response_synthesizers/test_refine.py
+++ b/llama-index-core/tests/response_synthesizers/test_refine.py
@@ -3,10 +3,8 @@ from typing import Any, Dict, Optional, Type, cast
import pytest
from llama_index.core.bridge.pydantic import BaseModel
-from llama_index.core.callbacks import CallbackManager
from llama_index.core.response_synthesizers import Refine
from llama_index.core.response_synthesizers.refine import StructuredRefineResponse
-from llama_index.core.service_context import ServiceContext
from llama_index.core.types import BasePydanticProgram
@@ -28,7 +26,7 @@ class MockRefineProgram(BasePydanticProgram):
*args: Any,
context_str: Optional[str] = None,
context_msg: Optional[str] = None,
- **kwargs: Any
+ **kwargs: Any,
) -> StructuredRefineResponse:
input_str = context_str or context_msg
input_str = cast(str, input_str)
@@ -42,7 +40,7 @@ class MockRefineProgram(BasePydanticProgram):
*args: Any,
context_str: Optional[str] = None,
context_msg: Optional[str] = None,
- **kwargs: Any
+ **kwargs: Any,
) -> StructuredRefineResponse:
input_str = context_str or context_msg
input_str = cast(str, input_str)
@@ -53,45 +51,31 @@ class MockRefineProgram(BasePydanticProgram):
@pytest.fixture()
-def mock_refine_service_context(patch_llm_predictor: Any) -> ServiceContext:
- cb_manager = CallbackManager([])
- return ServiceContext.from_defaults(
- llm_predictor=patch_llm_predictor,
- callback_manager=cb_manager,
- )
-
-
-@pytest.fixture()
-def refine_instance(mock_refine_service_context: ServiceContext) -> Refine:
+def refine_instance() -> Refine:
return Refine(
- service_context=mock_refine_service_context,
streaming=False,
verbose=True,
structured_answer_filtering=True,
)
-def test_constructor_args(mock_refine_service_context: ServiceContext) -> None:
+def test_constructor_args() -> None:
with pytest.raises(ValueError):
# can't construct refine with both streaming and answer filtering
Refine(
- service_context=mock_refine_service_context,
streaming=True,
structured_answer_filtering=True,
)
with pytest.raises(ValueError):
# can't construct refine with a program factory but not answer filtering
Refine(
- service_context=mock_refine_service_context,
program_factory=lambda _: MockRefineProgram({}),
structured_answer_filtering=False,
)
@pytest.mark.asyncio()
-async def test_answer_filtering_one_answer(
- mock_refine_service_context: ServiceContext,
-) -> None:
+async def test_answer_filtering_one_answer() -> None:
input_to_query_satisfied = OrderedDict(
[
("input1", False),
@@ -104,7 +88,6 @@ async def test_answer_filtering_one_answer(
return MockRefineProgram(input_to_query_satisfied)
refine_instance = Refine(
- service_context=mock_refine_service_context,
structured_answer_filtering=True,
program_factory=program_factory,
)
@@ -115,9 +98,7 @@ async def test_answer_filtering_one_answer(
@pytest.mark.asyncio()
-async def test_answer_filtering_no_answers(
- mock_refine_service_context: ServiceContext,
-) -> None:
+async def test_answer_filtering_no_answers() -> None:
input_to_query_satisfied = OrderedDict(
[
("input1", False),
@@ -130,7 +111,6 @@ async def test_answer_filtering_no_answers(
return MockRefineProgram(input_to_query_satisfied)
refine_instance = Refine(
- service_context=mock_refine_service_context,
structured_answer_filtering=True,
program_factory=program_factory,
)
diff --git a/llama-index-core/tests/selectors/test_llm_selectors.py b/llama-index-core/tests/selectors/test_llm_selectors.py
index 0e2d3dd1eceff50f7fb478580ee808e31d25a2cf..dcf27f90698d7aa058b7366a59837bd7227af9ba 100644
--- a/llama-index-core/tests/selectors/test_llm_selectors.py
+++ b/llama-index-core/tests/selectors/test_llm_selectors.py
@@ -1,20 +1,19 @@
from unittest.mock import patch
from llama_index.core.llms import CompletionResponse
-from llama_index.core.selectors.llm_selectors import (
- LLMMultiSelector,
- LLMSingleSelector,
-)
-from llama_index.core.service_context import ServiceContext
+from llama_index.core.selectors.llm_selectors import LLMMultiSelector, LLMSingleSelector
+from llama_index.core import Settings
+
from tests.mock_utils.mock_predict import _mock_single_select
-def test_llm_single_selector() -> None:
- service_context = ServiceContext.from_defaults(llm=None, embed_model=None)
- selector = LLMSingleSelector.from_defaults(service_context=service_context)
+def test_llm_single_selector(mock_llm, monkeypatch) -> None:
+ selector = LLMSingleSelector.from_defaults()
+
+ monkeypatch.setattr(Settings, "llm", mock_llm)
with patch.object(
- type(service_context.llm),
+ type(mock_llm),
"complete",
return_value=CompletionResponse(text=_mock_single_select()),
) as mock_complete:
@@ -26,10 +25,8 @@ def test_llm_single_selector() -> None:
assert mock_complete.call_args.args[0].count("Here is an example") <= 1
-def test_llm_multi_selector(
- mock_service_context: ServiceContext,
-) -> None:
- selector = LLMMultiSelector.from_defaults(service_context=mock_service_context)
+def test_llm_multi_selector(patch_llm_predictor) -> None:
+ selector = LLMMultiSelector.from_defaults()
choices = [
"apple",
@@ -42,12 +39,8 @@ def test_llm_multi_selector(
assert result.inds == [0, 1, 2]
-def test_llm_multi_selector_max_choices(
- mock_service_context: ServiceContext,
-) -> None:
- selector = LLMMultiSelector.from_defaults(
- service_context=mock_service_context, max_outputs=2
- )
+def test_llm_multi_selector_max_choices(patch_llm_predictor) -> None:
+ selector = LLMMultiSelector.from_defaults(max_outputs=2)
choices = [
"apple",
diff --git a/llama-index-core/tests/token_predictor/test_base.py b/llama-index-core/tests/token_predictor/test_base.py
index 582b1b3d6e019f19bf7d71f471cc68e5cab2ad38..644e5ed9df2db043ba4a67af0b87ac1c98e986ac 100644
--- a/llama-index-core/tests/token_predictor/test_base.py
+++ b/llama-index-core/tests/token_predictor/test_base.py
@@ -6,10 +6,9 @@ from unittest.mock import patch
from llama_index.core.indices.keyword_table.base import KeywordTableIndex
from llama_index.core.indices.list.base import SummaryIndex
from llama_index.core.indices.tree.base import TreeIndex
-from llama_index.core.llms.mock import MockLLM
from llama_index.core.node_parser import TokenTextSplitter
from llama_index.core.schema import Document
-from llama_index.core.service_context import ServiceContext
+
from tests.mock_utils.mock_text_splitter import mock_token_splitter_newline
@@ -25,24 +24,18 @@ def test_token_predictor(mock_split: Any) -> None:
"This is a test v2."
)
document = Document(text=doc_text)
- llm = MockLLM(max_tokens=256)
- service_context = ServiceContext.from_defaults(llm=llm)
# test tree index
- index = TreeIndex.from_documents([document], service_context=service_context)
+ index = TreeIndex.from_documents([document])
query_engine = index.as_query_engine()
query_engine.query("What is?")
# test keyword table index
- index_keyword = KeywordTableIndex.from_documents(
- [document], service_context=service_context
- )
+ index_keyword = KeywordTableIndex.from_documents([document])
query_engine = index_keyword.as_query_engine()
query_engine.query("What is?")
# test summary index
- index_list = SummaryIndex.from_documents(
- [document], service_context=service_context
- )
+ index_list = SummaryIndex.from_documents([document])
query_engine = index_list.as_query_engine()
query_engine.query("What is?")
diff --git a/llama-index-core/tests/tools/test_base.py b/llama-index-core/tests/tools/test_base.py
index fec2b9a09e81898c2412c5241d2853dea6bb1fdb..f890eb637c68ca9b6385bcac8da2cf85c2ef70d2 100644
--- a/llama-index-core/tests/tools/test_base.py
+++ b/llama-index-core/tests/tools/test_base.py
@@ -1,4 +1,5 @@
"""Test tools."""
+
import json
from typing import List, Optional
@@ -28,7 +29,7 @@ def test_function_tool() -> None:
assert function_tool.metadata.name == "foo"
assert function_tool.metadata.description == "bar"
assert function_tool.metadata.fn_schema is not None
- actual_schema = function_tool.metadata.fn_schema.schema()
+ actual_schema = function_tool.metadata.fn_schema.model_json_schema()
# note: no type
assert "x" in actual_schema["properties"]
@@ -41,7 +42,7 @@ def test_function_tool() -> None:
tmp_function, name="foo", description="bar"
)
assert function_tool.metadata.fn_schema is not None
- actual_schema = function_tool.metadata.fn_schema.schema()
+ actual_schema = function_tool.metadata.fn_schema.model_json_schema()
assert actual_schema["properties"]["x"]["type"] == "integer"
@@ -81,7 +82,7 @@ async def test_function_tool_async() -> None:
fn=tmp_function, async_fn=async_tmp_function, name="foo", description="bar"
)
assert function_tool.metadata.fn_schema is not None
- actual_schema = function_tool.metadata.fn_schema.schema()
+ actual_schema = function_tool.metadata.fn_schema.model_json_schema()
assert actual_schema["properties"]["x"]["type"] == "integer"
assert str(function_tool(2)) == "2"
@@ -132,7 +133,7 @@ async def test_function_tool_async_defaults() -> None:
fn=tmp_function, name="foo", description="bar"
)
assert function_tool.metadata.fn_schema is not None
- actual_schema = function_tool.metadata.fn_schema.schema()
+ actual_schema = function_tool.metadata.fn_schema.model_json_schema()
assert actual_schema["properties"]["x"]["type"] == "integer"
@@ -150,11 +151,7 @@ async def test_function_tool_async_defaults_langchain() -> None:
assert result == "1"
-from llama_index.core import (
- ServiceContext,
- VectorStoreIndex,
-)
-from llama_index.core.embeddings.mock_embed_model import MockEmbedding
+from llama_index.core import VectorStoreIndex
from llama_index.core.schema import Document
from llama_index.core.tools import RetrieverTool, ToolMetadata
@@ -169,12 +166,7 @@ def test_retreiver_tool() -> None:
text=("# title2:This is another test.\n" "This is a test v2."),
metadata={"file_path": "/data/personal/essay.md"},
)
- service_context = ServiceContext.from_defaults(
- llm=None, embed_model=MockEmbedding(embed_dim=1)
- )
- vs_index = VectorStoreIndex.from_documents(
- [doc1, doc2], service_context=service_context
- )
+ vs_index = VectorStoreIndex.from_documents([doc1, doc2])
vs_retriever = vs_index.as_retriever()
vs_ret_tool = RetrieverTool(
retriever=vs_retriever,
diff --git a/llama-index-core/tests/tools/test_ondemand_loader.py b/llama-index-core/tests/tools/test_ondemand_loader.py
index 30ee946a9eba3fa7c868364de7bd6b438a848521..a0abbecb7a8aa4822459b35cc80af73c68c5821a 100644
--- a/llama-index-core/tests/tools/test_ondemand_loader.py
+++ b/llama-index-core/tests/tools/test_ondemand_loader.py
@@ -12,11 +12,10 @@ except ImportError:
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.indices.vector_store.base import VectorStoreIndex
from llama_index.core.readers.string_iterable import StringIterableReader
-from llama_index.core.service_context import ServiceContext
from llama_index.core.tools.ondemand_loader_tool import OnDemandLoaderTool
-class TestSchemaSpec(BaseModel):
+class _TestSchemaSpec(BaseModel):
"""Test schema spec."""
texts: List[str]
@@ -24,16 +23,15 @@ class TestSchemaSpec(BaseModel):
@pytest.fixture()
-def tool(mock_service_context: ServiceContext) -> OnDemandLoaderTool:
+def tool(patch_llm_predictor) -> OnDemandLoaderTool:
# import most basic string reader
reader = StringIterableReader()
return OnDemandLoaderTool.from_defaults(
reader=reader,
index_cls=VectorStoreIndex,
- index_kwargs={"service_context": mock_service_context},
name="ondemand_loader_tool",
description="ondemand_loader_tool_desc",
- fn_schema=TestSchemaSpec,
+ fn_schema=_TestSchemaSpec,
)
@@ -51,6 +49,6 @@ def test_ondemand_loader_tool_langchain(
) -> None:
# convert tool to structured langchain tool
lc_tool = tool.to_langchain_structured_tool()
- assert lc_tool.args_schema == TestSchemaSpec
+ assert lc_tool.args_schema == _TestSchemaSpec
response = lc_tool.run({"texts": ["Hello world."], "query_str": "What is?"})
assert str(response) == "What is?:Hello world."
diff --git a/llama-index-core/tests/tools/test_query_engine_tool.py b/llama-index-core/tests/tools/test_query_engine_tool.py
index 61cec06055b590a0db8d98794c691df1ce929e01..26880e5fc4c315cfb9c71659fbb16345be794048 100644
--- a/llama-index-core/tests/tools/test_query_engine_tool.py
+++ b/llama-index-core/tests/tools/test_query_engine_tool.py
@@ -1,4 +1,5 @@
"""Test tools."""
+
from typing import Type, cast
import pytest
@@ -29,7 +30,7 @@ def test_query_engine_tool() -> None:
fn_schema_cls = cast(Type[BaseModel], query_tool.metadata.fn_schema)
fn_schema_obj = cast(BaseModel, fn_schema_cls(input="bar"))
- response = query_tool(**fn_schema_obj.dict())
+ response = query_tool(**fn_schema_obj.model_dump())
assert str(response) == "custom_bar"
# test resolve input errors
diff --git a/llama-index-core/tests/tools/test_utils.py b/llama-index-core/tests/tools/test_utils.py
index 613633fee796e5b6ef4f5b19b6b582d9ec47f2b5..275eb95dfb702ea200d9939688488d69fc0b5c19 100644
--- a/llama-index-core/tests/tools/test_utils.py
+++ b/llama-index-core/tests/tools/test_utils.py
@@ -1,4 +1,5 @@
"""Test utils."""
+
from typing import List
from llama_index.core.bridge.pydantic import Field
@@ -12,21 +13,21 @@ def test_create_schema_from_function() -> None:
"""Test function."""
SchemaCls = create_schema_from_function("test_schema", test_fn)
- schema = SchemaCls.schema()
+ schema = SchemaCls.model_json_schema()
assert schema["properties"]["x"]["type"] == "integer"
assert schema["properties"]["y"]["type"] == "integer"
assert schema["properties"]["z"]["type"] == "array"
assert schema["required"] == ["x", "y", "z"]
SchemaCls = create_schema_from_function("test_schema", test_fn, [("a", bool, 1)])
- schema = SchemaCls.schema()
+ schema = SchemaCls.model_json_schema()
assert schema["properties"]["a"]["type"] == "boolean"
def test_fn2(x: int = 1) -> None:
"""Optional input."""
SchemaCls = create_schema_from_function("test_schema", test_fn2)
- schema = SchemaCls.schema()
+ schema = SchemaCls.model_json_schema()
assert "required" not in schema
@@ -37,7 +38,7 @@ def test_create_schema_from_function_with_field() -> None:
return str(x)
schema = create_schema_from_function("TestSchema", tmp_function)
- actual_schema = schema.schema()
+ actual_schema = schema.model_json_schema()
assert "x" in actual_schema["properties"]
assert actual_schema["properties"]["x"]["type"] == "integer"
diff --git a/llama-index-core/tests/tools/tool_spec/test_base.py b/llama-index-core/tests/tools/tool_spec/test_base.py
index 483cc7b0fe21a2b7ec717e2a64149b4ad4a12ccf..b8ea9c94a05b2c89f6cfc08f5a22d788cb2376b2 100644
--- a/llama-index-core/tests/tools/tool_spec/test_base.py
+++ b/llama-index-core/tests/tools/tool_spec/test_base.py
@@ -91,14 +91,14 @@ def test_tool_spec() -> None:
assert tools[0].metadata.name == "foo_name"
assert tools[0].metadata.description == "foo_description"
assert tools[0].metadata.fn_schema is not None
- fn_schema = tools[0].metadata.fn_schema.schema()
+ fn_schema = tools[0].metadata.fn_schema.model_json_schema()
print(fn_schema)
assert fn_schema["properties"]["arg1"]["type"] == "string"
assert fn_schema["properties"]["arg2"]["type"] == "integer"
assert tools[1].metadata.name == "bar"
assert tools[1].metadata.description == "bar(arg1: bool) -> str\nBar."
assert tools[1].metadata.fn_schema is not None
- fn_schema = tools[1].metadata.fn_schema.schema()
+ fn_schema = tools[1].metadata.fn_schema.model_json_schema()
assert fn_schema["properties"]["arg1"]["type"] == "boolean"
diff --git a/llama-index-experimental/llama_index/experimental/param_tuner/base.py b/llama-index-experimental/llama_index/experimental/param_tuner/base.py
index 287f25156ad887c6cc4017bbb5d8bfe6cde8c330..f0b005f63012b02f9c73c98dc90019bd6c1a18dc 100644
--- a/llama-index-experimental/llama_index/experimental/param_tuner/base.py
+++ b/llama-index-experimental/llama_index/experimental/param_tuner/base.py
@@ -1,6 +1,5 @@
"""Param tuner."""
-
import asyncio
from abc import abstractmethod
from copy import deepcopy
@@ -246,7 +245,7 @@ class RayTuneParamTuner(BaseParamTuner):
tuned_result = self.param_fn(full_param_dict)
# need to convert RunResult to dict to obey
# Ray Tune's API
- return tuned_result.dict()
+ return tuned_result.model_dump()
run_config = RunConfig(**self.run_config_dict) if self.run_config_dict else None
diff --git a/llama-index-experimental/pyproject.toml b/llama-index-experimental/pyproject.toml
index 50360d4e2c40e7d296c37d120943acbe9058b9d0..b1fdf86cbe1aadc85496d3c7ee19262ad1bdb822 100644
--- a/llama-index-experimental/pyproject.toml
+++ b/llama-index-experimental/pyproject.toml
@@ -25,11 +25,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-experimental"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.11.post1"
+llama-index-core = "^0.11.0"
+pandas = "*"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-finetuning/llama_index/finetuning/embeddings/common.py b/llama-index-finetuning/llama_index/finetuning/embeddings/common.py
index 13ef1bbb537f9d507640198ab2871266cc16685d..3104646c3c84bef583fa6423ad843535ee7173ca 100644
--- a/llama-index-finetuning/llama_index/finetuning/embeddings/common.py
+++ b/llama-index-finetuning/llama_index/finetuning/embeddings/common.py
@@ -38,7 +38,7 @@ class EmbeddingQAFinetuneDataset(BaseModel):
path (str): The file path to save the JSON.
"""
with open(path, "w") as f:
- json.dump(self.dict(), f, indent=4)
+ json.dump(self.model_dump(), f, indent=4)
@classmethod
def from_json(cls, path: str) -> "EmbeddingQAFinetuneDataset":
diff --git a/llama-index-finetuning/llama_index/finetuning/mistralai/base.py b/llama-index-finetuning/llama_index/finetuning/mistralai/base.py
index 53f35c460723eedbc6368d8c1969853624166262..a8c799b3f154869ce68ae82057ce027f2aaa5fb0 100644
--- a/llama-index-finetuning/llama_index/finetuning/mistralai/base.py
+++ b/llama-index-finetuning/llama_index/finetuning/mistralai/base.py
@@ -97,15 +97,17 @@ class MistralAIFinetuneEngine(BaseLLMFinetuneEngine):
training_steps=self.training_steps,
learning_rate=self.learning_rate,
),
- integrations=[
- WandbIntegration(
- project=self.wandb_integration_dict["project"],
- run_name=self.wandb_integration_dict["run_name"],
- api_key=self.wandb_integration_dict["api_key"],
- ).dict()
- ]
- if self.wandb_integration_dict
- else None,
+ integrations=(
+ [
+ WandbIntegration(
+ project=self.wandb_integration_dict["project"],
+ run_name=self.wandb_integration_dict["run_name"],
+ api_key=self.wandb_integration_dict["api_key"],
+ ).model_dump()
+ ]
+ if self.wandb_integration_dict
+ else None
+ ),
)
self._start_job = job_output
break
diff --git a/llama-index-finetuning/llama_index/finetuning/rerankers/dataset_gen.py b/llama-index-finetuning/llama_index/finetuning/rerankers/dataset_gen.py
index c50e8b1112d9a8c7a57c6385196950d73bd74ebd..d481b75a4892370f0fc3e2f279652307ddee4ac6 100644
--- a/llama-index-finetuning/llama_index/finetuning/rerankers/dataset_gen.py
+++ b/llama-index-finetuning/llama_index/finetuning/rerankers/dataset_gen.py
@@ -15,7 +15,7 @@ class CohereRerankerFinetuneDataset(BaseModel):
def to_jsonl(self) -> str:
"""Convert the BaseModel instance to a JSONL string."""
- return self.json() + "\n"
+ return self.model_dump_json() + "\n"
def generate_embeddings(embed_model: Any, text: str) -> List[float]:
diff --git a/llama-index-finetuning/pyproject.toml b/llama-index-finetuning/pyproject.toml
index af2509427958811a3e4d1e19201c7b25a1d2ce3f..0fc681762241807ffa9ba93e34c5e7ab4e8dabc8 100644
--- a/llama-index-finetuning/pyproject.toml
+++ b/llama-index-finetuning/pyproject.toml
@@ -25,18 +25,18 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-finetuning"
readme = "README.md"
-version = "0.1.12"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.11.post1"
-llama-index-llms-openai = "^0.1.1"
-llama-index-llms-gradient = "^0.1.1"
-llama-index-llms-mistralai = "^0.1.20"
-llama-index-postprocessor-cohere-rerank = "^0.1.1"
-llama-index-embeddings-adapter = "^0.1.2"
+llama-index-core = "^0.11.0"
+llama-index-llms-openai = "^0.2.0"
+llama-index-llms-mistralai = "^0.2.0"
+llama-index-postprocessor-cohere-rerank = "^0.2.0"
+llama-index-embeddings-adapter = "^0.2.0"
sentence-transformers = "^2.3.0"
tenacity = ">=8.2.0,<8.4.0"
+llama-index-llms-azure-openai = "^0.2.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/agent/llama-index-agent-coa/pyproject.toml b/llama-index-integrations/agent/llama-index-agent-coa/pyproject.toml
index 8f707af1d987bb042f3bf70713f9e1a7bff5f83a..e677f599a8002878c43946a6f9a7084698cc213b 100644
--- a/llama-index-integrations/agent/llama-index-agent-coa/pyproject.toml
+++ b/llama-index-integrations/agent/llama-index-agent-coa/pyproject.toml
@@ -32,11 +32,11 @@ maintainers = ["jerryjliu"]
name = "llama-index-agent-coa"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/agent/llama-index-agent-dashscope/pyproject.toml b/llama-index-integrations/agent/llama-index-agent-dashscope/pyproject.toml
index be5a3231f90e21a078aa72bb613e5dd62dc1c08b..d41b1579bbc6c813fc70077144c72fbea2b44e2b 100644
--- a/llama-index-integrations/agent/llama-index-agent-dashscope/pyproject.toml
+++ b/llama-index-integrations/agent/llama-index-agent-dashscope/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-agent-dashscope"
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
dashscope = ">=1.17.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/agent/llama-index-agent-introspective/llama_index/agent/introspective/reflective/self_reflection.py b/llama-index-integrations/agent/llama-index-agent-introspective/llama_index/agent/introspective/reflective/self_reflection.py
index 489a56224a10705f55c0902f07a3ec5b87c084e6..9df7a8b6f48fc850e534091801d97b44c6541bb1 100644
--- a/llama-index-integrations/agent/llama-index-agent-introspective/llama_index/agent/introspective/reflective/self_reflection.py
+++ b/llama-index-integrations/agent/llama-index-agent-introspective/llama_index/agent/introspective/reflective/self_reflection.py
@@ -146,14 +146,13 @@ class SelfReflectionAgentWorker(BaseModel, BaseAgentWorker):
**kwargs: Any,
) -> None:
"""__init__."""
- self._llm = llm
- self._verbose = verbose
-
super().__init__(
callback_manager=callback_manager or CallbackManager([]),
max_iterations=max_iterations,
**kwargs,
)
+ self._llm = llm
+ self._verbose = verbose
@classmethod
def from_defaults(
@@ -224,7 +223,7 @@ class SelfReflectionAgentWorker(BaseModel, BaseAgentWorker):
)
if self._verbose:
- print(f"> Reflection: {reflection.dict()}")
+ print(f"> Reflection: {reflection.model_dump()}")
# end state: return user message
reflection_output_str = (
@@ -340,7 +339,7 @@ class SelfReflectionAgentWorker(BaseModel, BaseAgentWorker):
)
if self._verbose:
- print(f"> Reflection: {reflection.dict()}")
+ print(f"> Reflection: {reflection.model_dump()}")
# end state: return user message
reflection_output_str = (
diff --git a/llama-index-integrations/agent/llama-index-agent-introspective/llama_index/agent/introspective/reflective/tool_interactive_reflection.py b/llama-index-integrations/agent/llama-index-agent-introspective/llama_index/agent/introspective/reflective/tool_interactive_reflection.py
index b35562de4423fbc3cdd75325a07b77850564ce76..2c41efcf31a096eae3ab4767b19d806c575330dc 100644
--- a/llama-index-integrations/agent/llama-index-agent-introspective/llama_index/agent/introspective/reflective/tool_interactive_reflection.py
+++ b/llama-index-integrations/agent/llama-index-agent-introspective/llama_index/agent/introspective/reflective/tool_interactive_reflection.py
@@ -130,17 +130,16 @@ class ToolInteractiveReflectionAgentWorker(BaseModel, BaseAgentWorker):
**kwargs: Any,
) -> None:
"""__init__."""
- self._critique_agent_worker = critique_agent_worker
- self._critique_template = critique_template
- self._verbose = verbose
- self._correction_llm = correction_llm
-
super().__init__(
callback_manager=callback_manager,
max_iterations=max_iterations,
stopping_callable=stopping_callable,
**kwargs,
)
+ self._critique_agent_worker = critique_agent_worker
+ self._critique_template = critique_template
+ self._verbose = verbose
+ self._correction_llm = correction_llm
@classmethod
def from_defaults(
diff --git a/llama-index-integrations/agent/llama-index-agent-introspective/pyproject.toml b/llama-index-integrations/agent/llama-index-agent-introspective/pyproject.toml
index 626c1cef4e65e1251d9bd621a7824dc31ba4d108..c65ffac7ae913647ae4d5ef6a2bf81bea883c16f 100644
--- a/llama-index-integrations/agent/llama-index-agent-introspective/pyproject.toml
+++ b/llama-index-integrations/agent/llama-index-agent-introspective/pyproject.toml
@@ -34,11 +34,11 @@ maintainers = ["jerryjliu"]
name = "llama-index-agent-introspective"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/agent/llama-index-agent-lats/pyproject.toml b/llama-index-integrations/agent/llama-index-agent-lats/pyproject.toml
index a5739a013ee5abe08d7835ffd42aff8e678f8e95..77f54b5344d1f7d8d473c988978b4debd7b486b6 100644
--- a/llama-index-integrations/agent/llama-index-agent-lats/pyproject.toml
+++ b/llama-index-integrations/agent/llama-index-agent-lats/pyproject.toml
@@ -31,11 +31,11 @@ license = "MIT"
name = "llama-index-agent-lats"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/agent/llama-index-agent-llm-compiler/pyproject.toml b/llama-index-integrations/agent/llama-index-agent-llm-compiler/pyproject.toml
index 818569658ab9ab748025129058af71f4e3f0f953..c5deb9932d959e84e95a737a95eda8050d0c98e8 100644
--- a/llama-index-integrations/agent/llama-index-agent-llm-compiler/pyproject.toml
+++ b/llama-index-integrations/agent/llama-index-agent-llm-compiler/pyproject.toml
@@ -32,12 +32,12 @@ maintainers = ["jerryjliu"]
name = "llama-index-agent-llm-compiler"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-openai = "^0.1.16"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/agent/llama-index-agent-openai-legacy/pyproject.toml b/llama-index-integrations/agent/llama-index-agent-openai-legacy/pyproject.toml
index f0ec6c530102ab44e149d2b78d4bafe1e28ad195..79413f0850b1ac31ed42490af7e31415acbb1cb9 100644
--- a/llama-index-integrations/agent/llama-index-agent-openai-legacy/pyproject.toml
+++ b/llama-index-integrations/agent/llama-index-agent-openai-legacy/pyproject.toml
@@ -28,12 +28,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-agent-openai-legacy"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.41"
-llama-index-llms-openai = "^0.1.1"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/agent/llama-index-agent-openai/pyproject.toml b/llama-index-integrations/agent/llama-index-agent-openai/pyproject.toml
index bf8e06928d73ba3f1edafc95d762800d71587e91..f2fd35ec54515ba52dbcac04c0e68d21c1a047ad 100644
--- a/llama-index-integrations/agent/llama-index-agent-openai/pyproject.toml
+++ b/llama-index-integrations/agent/llama-index-agent-openai/pyproject.toml
@@ -28,13 +28,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-agent-openai"
readme = "README.md"
-version = "0.2.9"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.41"
-llama-index-llms-openai = "^0.1.5"
+llama-index-llms-openai = "^0.2.0"
openai = ">=1.14.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-agentops/pyproject.toml b/llama-index-integrations/callbacks/llama-index-callbacks-agentops/pyproject.toml
index c3ad45287114d636720f0e016eb3e7df0dba0bca..c2bd5faa01dd51c309536bb5e6c76e466801aa56 100644
--- a/llama-index-integrations/callbacks/llama-index-callbacks-agentops/pyproject.toml
+++ b/llama-index-integrations/callbacks/llama-index-callbacks-agentops/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-callbacks-agentops"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
agentops = "^0.2.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-aim/pyproject.toml b/llama-index-integrations/callbacks/llama-index-callbacks-aim/pyproject.toml
index 05882b792e41ab3474b016ef0aad914f9d188599..dd560d2e86dab6646d84185192ad888bdc92322c 100644
--- a/llama-index-integrations/callbacks/llama-index-callbacks-aim/pyproject.toml
+++ b/llama-index-integrations/callbacks/llama-index-callbacks-aim/pyproject.toml
@@ -28,7 +28,7 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-callbacks-aim"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-argilla/README.md b/llama-index-integrations/callbacks/llama-index-callbacks-argilla/README.md
index 3dd881d2c9d54a733dddac2f98272744900e784c..06efb3a8fd975027e584658f67a54db5929421e4 100644
--- a/llama-index-integrations/callbacks/llama-index-callbacks-argilla/README.md
+++ b/llama-index-integrations/callbacks/llama-index-callbacks-argilla/README.md
@@ -42,7 +42,6 @@ Let's now write all the necessary imports
```python
from llama_index.core import (
VectorStoreIndex,
- ServiceContext,
SimpleDirectoryReader,
set_global_handler,
)
@@ -69,9 +68,8 @@ llm = OpenAI(
With the code snippet below, you can create a basic workflow with LlamaIndex. You will also need a txt file as the data source within a folder named "data". For a sample data file and more info regarding the use of Llama Index, you can refer to the [Llama Index documentation](https://docs.llamaindex.ai/en/stable/getting_started/starter_example.html).
```python
-service_context = ServiceContext.from_defaults(llm=llm)
docs = SimpleDirectoryReader("data").load_data()
-index = VectorStoreIndex.from_documents(docs, service_context=service_context)
+index = VectorStoreIndex.from_documents(docs)
query_engine = index.as_query_engine()
```
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-argilla/pyproject.toml b/llama-index-integrations/callbacks/llama-index-callbacks-argilla/pyproject.toml
index 34c4d341b160e2cf5c65404980085a52892ff121..1104012200b6e8735555c3cc98affdbb8b7bbc34 100644
--- a/llama-index-integrations/callbacks/llama-index-callbacks-argilla/pyproject.toml
+++ b/llama-index-integrations/callbacks/llama-index-callbacks-argilla/pyproject.toml
@@ -27,11 +27,10 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-callbacks-argilla"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.12"
-llama-index-core = "^0.10.11.post1"
argilla = ">=1.22.0"
argilla-llama-index = ">=1.0.0"
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-arize-phoenix/pyproject.toml b/llama-index-integrations/callbacks/llama-index-callbacks-arize-phoenix/pyproject.toml
index f9f27a05146d23657b4810af9de02d0f175b73dd..b7f575467106991e9dd2b4d7b31714f50d827b39 100644
--- a/llama-index-integrations/callbacks/llama-index-callbacks-arize-phoenix/pyproject.toml
+++ b/llama-index-integrations/callbacks/llama-index-callbacks-arize-phoenix/pyproject.toml
@@ -28,13 +28,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-callbacks-arize-phoenix"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.13"
arize-phoenix = ">=3.0.3"
openinference-instrumentation-llama-index = ">=1.0.0"
-llama-index-core = "^0.10.11.post1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-deepeval/pyproject.toml b/llama-index-integrations/callbacks/llama-index-callbacks-deepeval/pyproject.toml
index c70e704ff7bfa56940e32717d6700c6a16a619d9..bbc186d38c1fe38a660d79b3a8893f66d0ef8e4a 100644
--- a/llama-index-integrations/callbacks/llama-index-callbacks-deepeval/pyproject.toml
+++ b/llama-index-integrations/callbacks/llama-index-callbacks-deepeval/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-callbacks-deepeval"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
deepeval = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-honeyhive/pyproject.toml b/llama-index-integrations/callbacks/llama-index-callbacks-honeyhive/pyproject.toml
index 7a6ccc4dbcd7edf17700a5f78f302432c540a049..3c59c700fbf1a50cfa1cc5375940668312cfd780 100644
--- a/llama-index-integrations/callbacks/llama-index-callbacks-honeyhive/pyproject.toml
+++ b/llama-index-integrations/callbacks/llama-index-callbacks-honeyhive/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-callbacks-honeyhive"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
honeyhive = "^0.1.79"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-langfuse/pyproject.toml b/llama-index-integrations/callbacks/llama-index-callbacks-langfuse/pyproject.toml
index ddda9c1977c1e50f4d1126db9412b16ed15ae738..174e800ea925c84fb625ed4e8978b39436167abe 100644
--- a/llama-index-integrations/callbacks/llama-index-callbacks-langfuse/pyproject.toml
+++ b/llama-index-integrations/callbacks/llama-index-callbacks-langfuse/pyproject.toml
@@ -28,12 +28,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-callbacks-langfuse"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.8"
langfuse = "^2.21.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-literalai/pyproject.toml b/llama-index-integrations/callbacks/llama-index-callbacks-literalai/pyproject.toml
index c9e2ddc1ea59bd6312eecf2a34a78f427603bf57..00f32f440008e1a710aeae6f0952c257c7cd14a1 100644
--- a/llama-index-integrations/callbacks/llama-index-callbacks-literalai/pyproject.toml
+++ b/llama-index-integrations/callbacks/llama-index-callbacks-literalai/pyproject.toml
@@ -27,11 +27,11 @@ license = "MIT"
name = "llama-index-callbacks-literalai"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "1.0.0"
+version = "1.1.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-openinference/pyproject.toml b/llama-index-integrations/callbacks/llama-index-callbacks-openinference/pyproject.toml
index ee5fd9fd6333071047b0d9cc78a03e36060b8726..bf4056434dde0189b8a65e5f3d6dd75dc00e4e1f 100644
--- a/llama-index-integrations/callbacks/llama-index-callbacks-openinference/pyproject.toml
+++ b/llama-index-integrations/callbacks/llama-index-callbacks-openinference/pyproject.toml
@@ -28,11 +28,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-callbacks-openinference"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/pyproject.toml b/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/pyproject.toml
index 3a48b2f8a382a779679f9ac4316c256eee17c37c..d98535a779b3cbcbfe97eb5225a54a0daf64f128 100644
--- a/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/pyproject.toml
+++ b/llama-index-integrations/callbacks/llama-index-callbacks-promptlayer/pyproject.toml
@@ -28,12 +28,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-callbacks-promptlayer"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
promptlayer = "^0.4.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-uptrain/pyproject.toml b/llama-index-integrations/callbacks/llama-index-callbacks-uptrain/pyproject.toml
index ba67bee175746480275b82685ea00d8ada9d3c19..37817b77f9e433bb6276fe8afc0548d9ad84619c 100644
--- a/llama-index-integrations/callbacks/llama-index-callbacks-uptrain/pyproject.toml
+++ b/llama-index-integrations/callbacks/llama-index-callbacks-uptrain/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-callbacks-uptrain"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = ">=0.10.0"
uptrain = ">=0.7.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/callbacks/llama-index-callbacks-wandb/pyproject.toml b/llama-index-integrations/callbacks/llama-index-callbacks-wandb/pyproject.toml
index 39e8e6791f1480529d60faefd944b516a0588f8c..e3f5520a524680742b160bfa8779a59a4c8e6bda 100644
--- a/llama-index-integrations/callbacks/llama-index-callbacks-wandb/pyproject.toml
+++ b/llama-index-integrations/callbacks/llama-index-callbacks-wandb/pyproject.toml
@@ -28,12 +28,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-callbacks-wandb"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
wandb = "^0.16.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-adapter/llama_index/embeddings/adapter/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-adapter/llama_index/embeddings/adapter/base.py
index 6bc603c3c78ad7fc28ac2bf87b24e07fa9b9b949..cdb63808ff7203c953f4017924018c75a192a0d1 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-adapter/llama_index/embeddings/adapter/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-adapter/llama_index/embeddings/adapter/base.py
@@ -53,6 +53,12 @@ class AdapterEmbeddingModel(BaseEmbedding):
import torch
from llama_index.embeddings.adapter.utils import BaseAdapter, LinearLayer
+ super().__init__(
+ embed_batch_size=embed_batch_size,
+ callback_manager=callback_manager,
+ model_name=f"Adapter for {base_embed_model.model_name}",
+ )
+
if device is None:
device = infer_torch_device()
logger.info(f"Use pytorch device: {device}")
@@ -70,11 +76,6 @@ class AdapterEmbeddingModel(BaseEmbedding):
self._adapter.to(self._target_device)
self._transform_query = transform_query
- super().__init__(
- embed_batch_size=embed_batch_size,
- callback_manager=callback_manager,
- model_name=f"Adapter for {base_embed_model.model_name}",
- )
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-adapter/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-adapter/pyproject.toml
index 6ad492dfb7e2d054e365c77eb5a32ed0b1c2bd34..b95940794f9525ad65501b9c5d83d684807d334d 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-adapter/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-adapter/pyproject.toml
@@ -28,12 +28,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-adapter"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
torch = "^2.1.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-alephalpha/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-alephalpha/pyproject.toml
index 9ee80c068d6b75c7a1a51da4c3380a78f8722d30..6386b33322619f74b023306c95579a218c6e7012 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-alephalpha/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-alephalpha/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-alephalpha"
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
aleph-alpha-client = "^7.0.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-anyscale/llama_index/embeddings/anyscale/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-anyscale/llama_index/embeddings/anyscale/base.py
index ed08798c9ebbe0e907a0a70b58af69f268c063f8..77bb0016dea9224bb31e8366b8919608114cddc4 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-anyscale/llama_index/embeddings/anyscale/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-anyscale/llama_index/embeddings/anyscale/base.py
@@ -183,9 +183,6 @@ class AnyscaleEmbedding(BaseEmbedding):
else:
model_name = model
- self._query_engine = model_name
- self._text_engine = model_name
-
super().__init__(
embed_batch_size=embed_batch_size,
callback_manager=callback_manager,
@@ -201,6 +198,8 @@ class AnyscaleEmbedding(BaseEmbedding):
**kwargs,
)
+ self._query_engine = model_name
+ self._text_engine = model_name
self._client = None
self._aclient = None
self._http_client = http_client
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-anyscale/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-anyscale/pyproject.toml
index 47c480df0f588d2572190239de8538bcb42241fb..fb47cc2b30120f4b440fec49ddae60ff6f74a651 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-anyscale/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-anyscale/pyproject.toml
@@ -28,12 +28,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-anyscale"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-openai = "^0.1.1"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-azure-inference/llama_index/embeddings/azure_inference/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-azure-inference/llama_index/embeddings/azure_inference/base.py
index 81ab1e05392b1f2e63a880035f89e0f9e15bd319..a2c381780a7fd96b08db7b329f55a0b1b917fd95 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-azure-inference/llama_index/embeddings/azure_inference/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-azure-inference/llama_index/embeddings/azure_inference/base.py
@@ -104,6 +104,13 @@ class AzureAIEmbeddingsModel(BaseEmbedding):
"Pass the credential as a parameter or set the AZURE_INFERENCE_CREDENTIAL"
)
+ super().__init__(
+ model_name=model_name or "unknown",
+ embed_batch_size=embed_batch_size,
+ callback_manager=callback_manager,
+ num_workers=num_workers,
+ **kwargs,
+ )
self._client = EmbeddingsClient(
endpoint=endpoint,
credential=credential,
@@ -118,14 +125,6 @@ class AzureAIEmbeddingsModel(BaseEmbedding):
**client_kwargs,
)
- super().__init__(
- model_name=model_name or "unknown",
- embed_batch_size=embed_batch_size,
- callback_manager=callback_manager,
- num_workers=num_workers,
- **kwargs,
- )
-
@classmethod
def class_name(cls) -> str:
return "AzureAIEmbeddingsModel"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-azure-inference/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-azure-inference/pyproject.toml
index cec68dbfd4dac378cb1416496115522f20d2fb19..03f5f1236a0ba459b063e56484a9f2890a44bbcb 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-azure-inference/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-azure-inference/pyproject.toml
@@ -28,13 +28,13 @@ license = "MIT"
name = "llama-index-embeddings-azure-inference"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
azure-ai-inference = ">=1.0.0b2"
azure-identity = "^1.15.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/pyproject.toml
index 7abd0a3eb0570f2ff3f3bf3d1b755cfa43661eea..6b8e80f9cdf85b136458b78ded1f4cfe66e01386 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-azure-openai"
readme = "README.md"
-version = "0.1.11"
+version = "0.2.0"
[tool.poetry.dependencies]
-python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.11.post1"
-llama-index-llms-azure-openai = "^0.1.3"
-llama-index-embeddings-openai = "^0.1.3"
+python = ">=3.8.1,<3.12"
+llama-index-llms-azure-openai = "^0.2.0"
+llama-index-embeddings-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-bedrock/llama_index/embeddings/bedrock/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-bedrock/llama_index/embeddings/bedrock/base.py
index e3d00871cb4d0ea8a506d471ce5c2968a3bcc532..0b465e0512a875f08738451c1a2e2131c466d6c1 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-bedrock/llama_index/embeddings/bedrock/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-bedrock/llama_index/embeddings/bedrock/base.py
@@ -124,17 +124,6 @@ class BedrockEmbedding(BaseEmbedding):
"boto3 package not found, install with" "'pip install boto3'"
)
- # Prior to general availability, custom boto3 wheel files were
- # distributed that used the bedrock service to invokeModel.
- # This check prevents any services still using those wheel files
- # from breaking
- if client is not None:
- self._client = client
- elif "bedrock-runtime" in session.get_available_services():
- self._client = session.client("bedrock-runtime", config=config)
- else:
- self._client = session.client("bedrock", config=config)
-
super().__init__(
model_name=model_name,
max_retries=max_retries,
@@ -156,6 +145,17 @@ class BedrockEmbedding(BaseEmbedding):
**kwargs,
)
+ # Prior to general availability, custom boto3 wheel files were
+ # distributed that used the bedrock service to invokeModel.
+ # This check prevents any services still using those wheel files
+ # from breaking
+ if client is not None:
+ self._client = client
+ elif "bedrock-runtime" in session.get_available_services():
+ self._client = session.client("bedrock-runtime", config=config)
+ else:
+ self._client = session.client("bedrock", config=config)
+
@staticmethod
def list_supported_models() -> Dict[str, List[str]]:
list_models = {}
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-bedrock/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-bedrock/pyproject.toml
index 8c795c7075d30116f72cf73a121031afc13590f1..e2d6054360880c1158f8490bc016c31209d375c9 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-bedrock/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-bedrock/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-bedrock"
readme = "README.md"
-version = "0.2.1"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
boto3 = "^1.34.23"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-clarifai/llama_index/embeddings/clarifai/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-clarifai/llama_index/embeddings/clarifai/base.py
index b463edd771718e54410f747d62cc568f351fb7cb..c946e27399bf529bac684cb65a8db02cacc7c91b 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-clarifai/llama_index/embeddings/clarifai/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-clarifai/llama_index/embeddings/clarifai/base.py
@@ -67,7 +67,7 @@ class ClarifaiEmbedding(BaseEmbedding):
f"Missing one app ID or user ID of the model: {app_id=}, {user_id=}"
)
else:
- self._model = Model(
+ model = Model(
user_id=user_id,
app_id=app_id,
model_id=model_name,
@@ -76,14 +76,15 @@ class ClarifaiEmbedding(BaseEmbedding):
)
if model_url is not None:
- self._model = Model(model_url, pat=pat)
- model_name = self._model.id
+ model = Model(model_url, pat=pat)
+ model_name = model.id
super().__init__(
embed_batch_size=embed_batch_size,
callback_manager=callback_manager,
model_name=model_name,
)
+ self._model = model
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-clarifai/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-clarifai/pyproject.toml
index 56ab298b2b4640d2b5e1bf262a3df64c7d5238ca..bb6c9b1367f6b5026688ae4b36d4e0dc2c3aeda0 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-clarifai/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-clarifai/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-clarifai"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
clarifai = "^10.0.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-clip/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-clip/pyproject.toml
index 6ab785bf9ec74507ea1182ca03eb6a5b1b40672b..03acb55d317f7114b88c40b04dc6f9bfeaba9ccd 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-clip/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-clip/pyproject.toml
@@ -27,15 +27,15 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-clip"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
torch = "^2.1.2"
pillow = "^10.2.0"
torchvision = "^0.17.0"
ftfy = "^6.1.3"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-cloudflare-workersai/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-cloudflare-workersai/pyproject.toml
index 4b31ee7e0d17aba770a016f80f5aa80e1da13fc9..df00ae14755f609bbc0ee37aa44170ee6174170e 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-cloudflare-workersai/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-cloudflare-workersai/pyproject.toml
@@ -30,11 +30,11 @@ license = "MIT"
name = "llama-index-embeddings-cloudflare-workersai"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-cohere/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-cohere/pyproject.toml
index f5eb67ff6099da45a28ea6f0a18819dfe6496a29..f838e2cb3aedbec740c04e2453032131834f0beb 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-cohere/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-cohere/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-cohere"
readme = "README.md"
-version = "0.1.9"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
cohere = "^5.2.5"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-dashscope/llama_index/embeddings/dashscope/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-dashscope/llama_index/embeddings/dashscope/base.py
index 232ace4567e7b24bd2ef2ad4b17fec5575e161a8..f4680ee0f9dd515147c93f2b09316f0b328ec625 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-dashscope/llama_index/embeddings/dashscope/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-dashscope/llama_index/embeddings/dashscope/base.py
@@ -178,13 +178,13 @@ class DashScopeEmbedding(MultiModalEmbedding):
embed_batch_size: int = EMBED_MAX_BATCH_SIZE,
**kwargs: Any,
) -> None:
- self._api_key = api_key
- self._text_type = text_type
super().__init__(
model_name=model_name,
embed_batch_size=embed_batch_size,
**kwargs,
)
+ self._api_key = api_key
+ self._text_type = text_type
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-dashscope/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-dashscope/pyproject.toml
index 2aeee8fd382464658985d26f3d59e8f561526f28..c1355e4dcde528409adfc2fecccafee7112227e1 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-dashscope/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-dashscope/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-dashscope"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
dashscope = ">1.10.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-databricks/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-databricks/pyproject.toml
index 2adc38012883c342d886d9f55999fb22c7ead942..b25139ae1f81bb8abd26e632c43d5a8b7f86c1e9 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-databricks/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-databricks/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-embeddings-databricks"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
-llama-index-embeddings-openai = "^0.1.10"
+llama-index-embeddings-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-deepinfra/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-deepinfra/pyproject.toml
index 9ecbb6124dd9b80b8abc4c501732cf559cda3824..9ab6711a00d27d96edc9fa1cfc174acf1ef84d7e 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-deepinfra/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-deepinfra/pyproject.toml
@@ -27,12 +27,12 @@ license = "MIT"
name = "llama-index-embeddings-deepinfra"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
aiohttp = "^3.8.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-elasticsearch/llama_index/embeddings/elasticsearch/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-elasticsearch/llama_index/embeddings/elasticsearch/base.py
index e432c458af22607b70ee3076d85de56ed218221b..f741259508e7a805b6d7782fca86216671e21163 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-elasticsearch/llama_index/embeddings/elasticsearch/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-elasticsearch/llama_index/embeddings/elasticsearch/base.py
@@ -35,8 +35,8 @@ class ElasticsearchEmbedding(BaseEmbedding):
input_field: str = "text_field",
**kwargs: Any,
):
- self._client = client
super().__init__(model_id=model_id, input_field=input_field, **kwargs)
+ self._client = client
@classmethod
def from_es_connection(
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-elasticsearch/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-elasticsearch/pyproject.toml
index 9dfc6335ac1723822103b77c1a29bf2905cfaac0..d1d461c9c73d1b2435eb1cee6be4651d38f0207a 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-elasticsearch/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-elasticsearch/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-elasticsearch"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
elasticsearch = "^8.12.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-fastembed/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-fastembed/pyproject.toml
index d1ab50a3bd0dcdd211bcf55dba0e75b990dd197f..81ff325d2b220336a1e1915d6f800d94fd9f2246 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-fastembed/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-fastembed/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-fastembed"
readme = "README.md"
-version = "0.1.7"
+version = "0.2.0"
[tool.poetry.dependencies]
-python = ">=3.8.1,<3.13"
-llama-index-core = "^0.10.11.post1"
+python = ">=3.9,<3.13"
fastembed = ">=0.2.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-fireworks/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-fireworks/pyproject.toml
index 36189597d51968596d00d7eb81ed95b4a2091906..2f7bb10faedfe74c6eba419f1c635aecb4f04088 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-fireworks/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-fireworks/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-fireworks"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.12"
-llama-index-core = "^0.10.12"
-llama-index-llms-openai = "^0.1.1"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-gemini/llama_index/embeddings/gemini/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-gemini/llama_index/embeddings/gemini/base.py
index 5c63bb2d88f4a9193e3e676b193bd690472811e7..563fc43cc7a834b9ec4070c85651e76319380b90 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-gemini/llama_index/embeddings/gemini/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-gemini/llama_index/embeddings/gemini/base.py
@@ -1,7 +1,7 @@
"""Gemini embeddings file."""
import os
-from typing import Any, List, Optional
+from typing import Any, Dict, List, Optional
import google.generativeai as gemini
from llama_index.core.base.embeddings.base import (
@@ -60,18 +60,18 @@ class GeminiEmbedding(BaseEmbedding):
if transport:
config_params["transport"] = transport
# transport: A string, one of: [`rest`, `grpc`, `grpc_asyncio`].
- gemini.configure(**config_params)
- self._model = gemini
super().__init__(
api_key=api_key,
model_name=model_name,
embed_batch_size=embed_batch_size,
callback_manager=callback_manager,
+ title=title,
+ task_type=task_type,
**kwargs,
)
- self.title = title
- self.task_type = task_type
+ gemini.configure(**config_params)
+ self._model = gemini
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-gemini/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-gemini/pyproject.toml
index cb4d29f202fad07ed0a5d6a8fe89034dcee886e5..d2aaf519eeb9abe365683d2bdc426a9526bcb70f 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-gemini/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-gemini/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-gemini"
readme = "README.md"
-version = "0.1.8"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.11.post1"
google-generativeai = "^0.5.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-gigachat/llama_index/embeddings/gigachat/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-gigachat/llama_index/embeddings/gigachat/base.py
index 9e4b813ef0dcf272f9087388622ac6b8bf1c3b56..58cf6d42ba7ca4f972a81e1347a8d246f52db7d7 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-gigachat/llama_index/embeddings/gigachat/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-gigachat/llama_index/embeddings/gigachat/base.py
@@ -54,18 +54,18 @@ class GigaChatEmbedding(BaseEmbedding):
Set 'GIGACHAT_API_PERS' for personal use or 'GIGACHAT_API_CORP' for corporate use.
"""
)
- try:
- self._client = GigaChat(
- scope=scope, credentials=auth_data, verify_ssl_certs=False
- )
- except Exception as e:
- raise ValueError(f"GigaChat client failed to initialize. Error: {e}") from e
super().__init__(
model_name=name,
embed_batch_size=embed_batch_size,
callback_manager=callback_manager,
**kwargs,
)
+ try:
+ self._client = GigaChat(
+ scope=scope, credentials=auth_data, verify_ssl_certs=False
+ )
+ except Exception as e:
+ raise ValueError(f"GigaChat client failed to initialize. Error: {e}") from e
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-gigachat/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-gigachat/pyproject.toml
index d9298cfb982acad9055d6ea934a6fbff1df6f1a9..b49fd0543257a855bfddb16f5c047b46d0074554 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-gigachat/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-gigachat/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-gigachat"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
gigachat = "0.1.28"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-google/llama_index/embeddings/google/gemini.py b/llama-index-integrations/embeddings/llama-index-embeddings-google/llama_index/embeddings/google/gemini.py
index 2dfb399c33ab1034014fbe181e55bba22d24efbf..7826f6e18228a28a945ae2d0ab1743e768bb1172 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-google/llama_index/embeddings/google/gemini.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-google/llama_index/embeddings/google/gemini.py
@@ -42,17 +42,16 @@ class GeminiEmbedding(BaseEmbedding):
callback_manager: Optional[CallbackManager] = None,
**kwargs: Any,
):
- gemini.configure(api_key=api_key)
- self._model = gemini
-
super().__init__(
model_name=model_name,
embed_batch_size=embed_batch_size,
callback_manager=callback_manager,
+ title=title,
+ task_type=task_type,
**kwargs,
)
- self.title = title
- self.task_type = task_type
+ gemini.configure(api_key=api_key)
+ self._model = gemini
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-google/llama_index/embeddings/google/palm.py b/llama-index-integrations/embeddings/llama-index-embeddings-google/llama_index/embeddings/google/palm.py
index 82a2f2f4bc249fc77c819027469fd3e4ebb0b8cd..098d44ef6c37aaa646b327b5ba0655eb57c7ed0d 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-google/llama_index/embeddings/google/palm.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-google/llama_index/embeddings/google/palm.py
@@ -32,15 +32,14 @@ class GooglePaLMEmbedding(BaseEmbedding):
callback_manager: Optional[CallbackManager] = None,
**kwargs: Any,
):
- palm.configure(api_key=api_key)
- self._model = palm
-
super().__init__(
model_name=model_name,
embed_batch_size=embed_batch_size,
callback_manager=callback_manager,
**kwargs,
)
+ palm.configure(api_key=api_key)
+ self._model = palm
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-google/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-google/pyproject.toml
index b05de9d7b60f4eda16fdbba97c7b9ae27f1c8b3a..00474e8be52ffe48e033940f4b790572c47ff55a 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-google/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-google/pyproject.toml
@@ -29,12 +29,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-google"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.11.post1"
google-generativeai = "^0.5.2"
+llama-index-core = "^0.11.0"
[tool.poetry.dependencies.tensorflow-hub]
optional = true
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-api/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-api/pyproject.toml
index ead2f21b603489b806d01b7d7b15a25e23e22423..175c1c95aa042c5d629ef95c4776bd419beb9009 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-api/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-api/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-huggingface-api"
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-utils-huggingface = "^0.1.1"
+llama-index-utils-huggingface = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.dependencies.huggingface-hub]
extras = ["inference"]
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-itrex/llama_index/embeddings/huggingface_itrex/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-itrex/llama_index/embeddings/huggingface_itrex/base.py
index 78168740a89d1447df508fc09d828c8ad40f0441..c739d9ff8a72dd61533f81eb5be070bdbf018fc0 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-itrex/llama_index/embeddings/huggingface_itrex/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-itrex/llama_index/embeddings/huggingface_itrex/base.py
@@ -47,9 +47,9 @@ class ItrexQuantizedBgeEmbedding(BaseEmbedding):
from intel_extension_for_transformers.transformers import AutoModel
except ImportError:
raise ImportError(
- "Optimum-Intel requires the following dependencies; please install with "
+ "Itrex requires the following dependencies; please install with "
"`pip install optimum[exporters] "
- "optimum-intel neural-compressor intel_extension_for_pytorch`"
+ "optimum-intel neural-compressor intel_extension_for_transformers`"
)
from huggingface_hub import hf_hub_download
@@ -57,13 +57,11 @@ class ItrexQuantizedBgeEmbedding(BaseEmbedding):
onnx_model_path = os.path.join(folder_name, onnx_file_name)
if not os.path.exists(onnx_model_path):
onnx_model_path = hf_hub_download(folder_name, filename=onnx_file_name)
- self._model = AutoModel.from_pretrained(
- onnx_model_path, use_embedding_runtime=True
- )
+ model = AutoModel.from_pretrained(onnx_model_path, use_embedding_runtime=True)
config = AutoConfig.from_pretrained(folder_name)
- self._hidden_size = config.hidden_size
+ hidden_size = config.hidden_size
- self._tokenizer = tokenizer or AutoTokenizer.from_pretrained(folder_name)
+ tokenizer = tokenizer or AutoTokenizer.from_pretrained(folder_name)
if max_length is None:
try:
@@ -74,7 +72,7 @@ class ItrexQuantizedBgeEmbedding(BaseEmbedding):
"Please provide max_length."
)
try:
- max_length = min(max_length, int(self._tokenizer.model_max_length))
+ max_length = min(max_length, int(tokenizer.model_max_length))
except Exception as exc:
print(f"An error occurred while retrieving tokenizer max length: {exc}")
@@ -91,6 +89,9 @@ class ItrexQuantizedBgeEmbedding(BaseEmbedding):
query_instruction=query_instruction,
text_instruction=text_instruction,
)
+ self._model = model
+ self._tokenizer = tokenizer
+ self._hidden_size = hidden_size
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-itrex/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-itrex/pyproject.toml
index afe938af0541065fd9d851a35fb4a7214f7d1156..6242ec040bf8d8d7f9a45f0632222a849176721f 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-itrex/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-itrex/pyproject.toml
@@ -27,17 +27,17 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-itrex"
readme = "README.md"
-version = "0.1.0"
+version = "0.3.1"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.25"
-intel-extension-for-transformers = "^1.3.2"
+llama-index-core = "^0.11.0"
+# intel-extension-for-transformers = "^1.3.2" # PEP 517 build error install with pip instead
torch = "^2.2.2"
accelerate = "^0.28.0"
datasets = "^2.18.0"
onnx = "^1.15.0"
-llama-index-embeddings-huggingface = "^0.2.0"
+llama-index-embeddings-huggingface = "^0.3.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-openvino/llama_index/embeddings/huggingface_openvino/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-openvino/llama_index/embeddings/huggingface_openvino/base.py
index a95289e934263efea34530054641e9adc4fddc3c..3657125659c9e22cc32775b134f0a7c8be783747 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-openvino/llama_index/embeddings/huggingface_openvino/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-openvino/llama_index/embeddings/huggingface_openvino/base.py
@@ -16,7 +16,7 @@ class OpenVINOEmbedding(BaseEmbedding):
model_id_or_path: str = Field(description="Huggingface model id or local path.")
max_length: int = Field(description="Maximum length of input.")
pooling: str = Field(description="Pooling strategy. One of ['cls', 'mean'].")
- normalize: str = Field(default=True, description="Normalize embeddings or not.")
+ normalize: bool = Field(default=True, description="Normalize embeddings or not.")
query_instruction: Optional[str] = Field(
description="Instruction to prepend to query text."
)
@@ -24,7 +24,7 @@ class OpenVINOEmbedding(BaseEmbedding):
description="Instruction to prepend to text."
)
cache_folder: Optional[str] = Field(
- description="Cache folder for huggingface files."
+ description="Cache folder for huggingface files.", default=None
)
_model: Any = PrivateAttr()
@@ -46,8 +46,6 @@ class OpenVINOEmbedding(BaseEmbedding):
model_kwargs: Dict[str, Any] = {},
device: Optional[str] = "auto",
):
- self._device = device
-
try:
from huggingface_hub import HfApi
except ImportError as e:
@@ -94,27 +92,26 @@ class OpenVINOEmbedding(BaseEmbedding):
if require_model_export(model_id_or_path):
# use remote model
- self._model = model or OVModelForFeatureExtraction.from_pretrained(
+ model = model or OVModelForFeatureExtraction.from_pretrained(
model_id_or_path, export=True, device=device, **model_kwargs
)
else:
# use local model
- self._model = model or OVModelForFeatureExtraction.from_pretrained(
- model_id_or_path, device=self._device, **model_kwargs
+ model = model or OVModelForFeatureExtraction.from_pretrained(
+ model_id_or_path, device=device, **model_kwargs
)
-
- self._tokenizer = tokenizer or AutoTokenizer.from_pretrained(model_id_or_path)
+ tokenizer = tokenizer or AutoTokenizer.from_pretrained(model_id_or_path)
if max_length is None:
try:
- max_length = int(self._model.config.max_position_embeddings)
+ max_length = int(model.config.max_position_embeddings)
except Exception:
raise ValueError(
"Unable to find max_length from model config. "
"Please provide max_length."
)
try:
- max_length = min(max_length, int(self._tokenizer.model_max_length))
+ max_length = min(max_length, int(tokenizer.model_max_length))
except Exception as exc:
print(f"An error occurred while retrieving tokenizer max length: {exc}")
@@ -123,7 +120,7 @@ class OpenVINOEmbedding(BaseEmbedding):
super().__init__(
embed_batch_size=embed_batch_size,
- callback_manager=callback_manager,
+ callback_manager=callback_manager or CallbackManager([]),
model_id_or_path=model_id_or_path,
max_length=max_length,
pooling=pooling,
@@ -131,6 +128,9 @@ class OpenVINOEmbedding(BaseEmbedding):
query_instruction=query_instruction,
text_instruction=text_instruction,
)
+ self._device = device
+ self._model = model
+ self._tokenizer = tokenizer
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-openvino/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-openvino/pyproject.toml
index 58b066763cebbc08f36ca549432235c624e261cc..62b027f419438a0c513b3a6bc2fee59de5928f7f 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-openvino/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-openvino/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-openvino"
readme = "README.md"
-version = "0.2.1"
+version = "0.4.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.41"
-llama-index-embeddings-huggingface = "^0.2.2"
+llama-index-embeddings-huggingface = "^0.3.0"
huggingface-hub = "^0.23.0"
+llama-index-core = "^0.11.0"
[tool.poetry.dependencies.optimum]
extras = ["openvino"]
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum-intel/llama_index/embeddings/huggingface_optimum_intel/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum-intel/llama_index/embeddings/huggingface_optimum_intel/base.py
index 6ab1835f24cac971eb14d28a7b6a14e540cc1a2b..3d556b61c444e58bf1a7d065d40272645068c311 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum-intel/llama_index/embeddings/huggingface_optimum_intel/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum-intel/llama_index/embeddings/huggingface_optimum_intel/base.py
@@ -53,20 +53,20 @@ class IntelEmbedding(BaseEmbedding):
"optimum-intel neural-compressor intel_extension_for_pytorch`"
)
- self._model = model or IPEXModel.from_pretrained(folder_name)
- self._tokenizer = tokenizer or AutoTokenizer.from_pretrained(folder_name)
- self._device = device or infer_torch_device()
+ model = model or IPEXModel.from_pretrained(folder_name)
+ tokenizer = tokenizer or AutoTokenizer.from_pretrained(folder_name)
+ device = device or infer_torch_device()
if max_length is None:
try:
- max_length = int(self._model.config.max_position_embeddings)
+ max_length = int(model.config.max_position_embeddings)
except Exception:
raise ValueError(
"Unable to find max_length from model config. "
"Please provide max_length."
)
try:
- max_length = min(max_length, int(self._tokenizer.model_max_length))
+ max_length = min(max_length, int(tokenizer.model_max_length))
except Exception as exc:
print(f"An error occurred while retrieving tokenizer max length: {exc}")
@@ -83,6 +83,9 @@ class IntelEmbedding(BaseEmbedding):
query_instruction=query_instruction,
text_instruction=text_instruction,
)
+ self._model = model
+ self._tokenizer = tokenizer
+ self._device = device
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum-intel/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum-intel/pyproject.toml
index 7f0f18284f0453a32bcf7cdad041919be0caa4dc..48684d7af9e1f357d90ae4f4d6f9a268528c72c7 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum-intel/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum-intel/pyproject.toml
@@ -27,15 +27,15 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-huggingface-optimum-intel"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-embeddings-huggingface = "^0.2.2"
-llama-index-utils-huggingface = "^0.1.1"
+llama-index-embeddings-huggingface = "^0.3.0"
+llama-index-utils-huggingface = "^0.2.0"
optimum-intel = "^1.18.0"
-intel_extension_for_pytorch = "^2.3"
+# intel_extension_for_pytorch = "^2.3" . # can't find this installation
+llama-index-core = "^0.11.0"
[tool.poetry.dependencies.optimum]
extras = ["exporters"]
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum/llama_index/embeddings/huggingface_optimum/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum/llama_index/embeddings/huggingface_optimum/base.py
index dad439a8c770420c59b8fe0d1d0c6068c24c4cc4..8f581bf8142ca348159c12428a9780f0c97f6916 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum/llama_index/embeddings/huggingface_optimum/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum/llama_index/embeddings/huggingface_optimum/base.py
@@ -16,7 +16,7 @@ class OptimumEmbedding(BaseEmbedding):
folder_name: str = Field(description="Folder name to load from.")
max_length: int = Field(description="Maximum length of input.")
pooling: str = Field(description="Pooling strategy. One of ['cls', 'mean'].")
- normalize: str = Field(default=True, description="Normalize embeddings or not.")
+ normalize: bool = Field(default=True, description="Normalize embeddings or not.")
query_instruction: Optional[str] = Field(
description="Instruction to prepend to query text."
)
@@ -24,7 +24,7 @@ class OptimumEmbedding(BaseEmbedding):
description="Instruction to prepend to text."
)
cache_folder: Optional[str] = Field(
- description="Cache folder for huggingface files."
+ description="Cache folder for huggingface files.", default=None
)
_model: Any = PrivateAttr()
@@ -45,20 +45,20 @@ class OptimumEmbedding(BaseEmbedding):
callback_manager: Optional[CallbackManager] = None,
device: Optional[str] = None,
):
- self._model = model or ORTModelForFeatureExtraction.from_pretrained(folder_name)
- self._tokenizer = tokenizer or AutoTokenizer.from_pretrained(folder_name)
- self._device = device or infer_torch_device()
+ model = model or ORTModelForFeatureExtraction.from_pretrained(folder_name)
+ tokenizer = tokenizer or AutoTokenizer.from_pretrained(folder_name)
+ device = device or infer_torch_device()
if max_length is None:
try:
- max_length = int(self._model.config.max_position_embeddings)
+ max_length = int(model.config.max_position_embeddings)
except Exception:
raise ValueError(
"Unable to find max_length from model config. "
"Please provide max_length."
)
try:
- max_length = min(max_length, int(self._tokenizer.model_max_length))
+ max_length = min(max_length, int(tokenizer.model_max_length))
except Exception as exc:
print(f"An error occurred while retrieving tokenizer max length: {exc}")
@@ -75,6 +75,9 @@ class OptimumEmbedding(BaseEmbedding):
query_instruction=query_instruction,
text_instruction=text_instruction,
)
+ self._model = model
+ self._device = device
+ self._tokenizer = tokenizer
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum/pyproject.toml
index 966edb14b073b45540953468790a5744798d8f88..a1c1f137c5a6993891f39218bc7db686ff4dc4dd 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-huggingface-optimum"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-embeddings-huggingface = "^0.1.3"
+llama-index-embeddings-huggingface = "^0.3.0"
+llama-index-core = "^0.11.0"
[tool.poetry.dependencies.optimum]
extras = ["exporters"]
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/llama_index/embeddings/huggingface/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/llama_index/embeddings/huggingface/base.py
index b77be343fca0ab509a1f1abd9ec8afacb2d585c8..40eb31c41cf5c38509af4f7c5051f44ab28f2772 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/llama_index/embeddings/huggingface/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/llama_index/embeddings/huggingface/base.py
@@ -97,13 +97,13 @@ class HuggingFaceEmbedding(BaseEmbedding):
)
normalize: bool = Field(default=True, description="Normalize embeddings or not.")
query_instruction: Optional[str] = Field(
- description="Instruction to prepend to query text."
+ description="Instruction to prepend to query text.", default=None
)
text_instruction: Optional[str] = Field(
- description="Instruction to prepend to text."
+ description="Instruction to prepend to text.", default=None
)
cache_folder: Optional[str] = Field(
- description="Cache folder for Hugging Face files."
+ description="Cache folder for Hugging Face files.", default=None
)
_model: Any = PrivateAttr()
@@ -131,10 +131,7 @@ class HuggingFaceEmbedding(BaseEmbedding):
target_devices: Optional[List[str]] = None,
**model_kwargs,
):
- self._device = device or infer_torch_device()
- self._parallel_process = parallel_process
- self._target_devices = target_devices
-
+ device = device or infer_torch_device()
cache_folder = cache_folder or get_cache_dir()
for variable, value in [
@@ -150,9 +147,9 @@ class HuggingFaceEmbedding(BaseEmbedding):
if model_name is None:
raise ValueError("The `model_name` argument must be provided.")
- self._model = SentenceTransformer(
+ model = SentenceTransformer(
model_name,
- device=self._device,
+ device=device,
cache_folder=cache_folder,
trust_remote_code=trust_remote_code,
prompts={
@@ -164,9 +161,9 @@ class HuggingFaceEmbedding(BaseEmbedding):
**model_kwargs,
)
if max_length:
- self._model.max_seq_length = max_length
+ model.max_seq_length = max_length
else:
- max_length = self._model.max_seq_length
+ max_length = model.max_seq_length
super().__init__(
embed_batch_size=embed_batch_size,
@@ -177,6 +174,10 @@ class HuggingFaceEmbedding(BaseEmbedding):
query_instruction=query_instruction,
text_instruction=text_instruction,
)
+ self._device = device
+ self._model = model
+ self._parallel_process = parallel_process
+ self._target_devices = target_devices
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/pyproject.toml
index e11e8bc3653e973eb48cdf579e90511b59b8e5ff..36c45f0424bf26feec332b9391206add3009d55a 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-huggingface/pyproject.toml
@@ -28,12 +28,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-huggingface"
readme = "README.md"
-version = "0.2.3"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
sentence-transformers = ">=2.6.1"
+llama-index-core = "^0.11.0"
[tool.poetry.dependencies.huggingface-hub]
extras = ["inference"]
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-ibm/llama_index/embeddings/ibm/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-ibm/llama_index/embeddings/ibm/base.py
index 852e991c71062c67b8f2885398389e8eff0e6050..33386d7ca67971945bd2f9e4691637fdbcc322b1 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-ibm/llama_index/embeddings/ibm/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-ibm/llama_index/embeddings/ibm/base.py
@@ -4,14 +4,8 @@ from llama_index.core.base.embeddings.base import (
DEFAULT_EMBED_BATCH_SIZE,
BaseEmbedding,
)
-from llama_index.core.bridge.pydantic import Field, PrivateAttr
-
-# Import SecretStr directly from pydantic
-# since there is not one in llama_index.core.bridge.pydantic
-try:
- from pydantic.v1 import SecretStr
-except ImportError:
- from pydantic import SecretStr
+from llama_index.core.bridge.pydantic import Field, PrivateAttr, SecretStr
+
from llama_index.core.callbacks.base import CallbackManager
from llama_index.embeddings.ibm.utils import (
resolve_watsonx_credentials,
@@ -146,17 +140,32 @@ class WatsonxEmbeddings(BaseEmbedding):
instance_id=instance_id,
)
+ url = creds.get("url").get_secret_value() if creds.get("url") else None
+ apikey = creds.get("apikey").get_secret_value() if creds.get("apikey") else None
+ token = creds.get("token").get_secret_value() if creds.get("token") else None
+ password = (
+ creds.get("password").get_secret_value() if creds.get("password") else None
+ )
+ username = (
+ creds.get("username").get_secret_value() if creds.get("username") else None
+ )
+ instance_id = (
+ creds.get("instance_id").get_secret_value()
+ if creds.get("instance_id")
+ else None
+ )
+
super().__init__(
model_id=model_id,
truncate_input_tokens=truncate_input_tokens,
project_id=project_id,
space_id=space_id,
- url=creds.get("url"),
- apikey=creds.get("apikey"),
- token=creds.get("token"),
- password=creds.get("password"),
- username=creds.get("username"),
- instance_id=creds.get("instance_id"),
+ url=url,
+ apikey=apikey,
+ token=token,
+ password=password,
+ username=username,
+ instance_id=instance_id,
version=version,
verify=verify,
callback_manager=callback_manager,
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-ibm/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-ibm/pyproject.toml
index 6eef48b97c809369f803646ad97b3b70f22156b2..1c1bd3ff857a1947f0d1d2bea6392ff808c67c6a 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-ibm/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-ibm/pyproject.toml
@@ -31,12 +31,12 @@ license = "MIT"
name = "llama-index-embeddings-ibm"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.10,<4.0"
-llama-index-core = "^0.10.38"
ibm-watsonx-ai = "^1.0.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-instructor/llama_index/embeddings/instructor/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-instructor/llama_index/embeddings/instructor/base.py
index e2b351e1ed2489fb2490195b375e106f49aa99d8..c2625977afd2f58a5e9a0c0cf5ab8ca3ec893563 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-instructor/llama_index/embeddings/instructor/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-instructor/llama_index/embeddings/instructor/base.py
@@ -37,8 +37,6 @@ class InstructorEmbedding(BaseEmbedding):
device: Optional[str] = None,
callback_manager: Optional[CallbackManager] = None,
):
- self._model = INSTRUCTOR(model_name, cache_folder=cache_folder, device=device)
-
super().__init__(
embed_batch_size=embed_batch_size,
callback_manager=callback_manager,
@@ -47,6 +45,7 @@ class InstructorEmbedding(BaseEmbedding):
text_instruction=text_instruction,
cache_folder=cache_folder,
)
+ self._model = INSTRUCTOR(model_name, cache_folder=cache_folder, device=device)
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-instructor/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-instructor/pyproject.toml
index 6555b8215e7977cd99bae583c104174f83c3659e..e57b2f3e3a75d57b328ab16bc17f9f1ecb1301a3 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-instructor/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-instructor/pyproject.toml
@@ -27,14 +27,14 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-instructor"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
instructorembedding = "^1.0.1"
torch = "^2.1.2"
sentence-transformers = "^2.2.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-ipex-llm/llama_index/embeddings/ipex_llm/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-ipex-llm/llama_index/embeddings/ipex_llm/base.py
index 225abf8a94219fcc63cd7f884f20ba8c7ddba071..2d949d86d16cfdca86fe46291727175d8b602e54 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-ipex-llm/llama_index/embeddings/ipex_llm/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-ipex-llm/llama_index/embeddings/ipex_llm/base.py
@@ -62,7 +62,7 @@ class IpexLLMEmbedding(BaseEmbedding):
"IpexLLMEmbedding currently only supports device to be 'cpu', 'xpu', "
f"or 'xpu:<device_id>', but you have: {device}."
)
- self._device = device
+ device = device
cache_folder = cache_folder or get_cache_dir()
@@ -75,9 +75,9 @@ class IpexLLMEmbedding(BaseEmbedding):
f"Hugging Face BGE models, which are: {bge_model_list_str}"
)
- self._model = SentenceTransformer(
+ model = SentenceTransformer(
model_name,
- device=self._device,
+ device=device,
cache_folder=cache_folder,
trust_remote_code=trust_remote_code,
prompts={
@@ -90,16 +90,16 @@ class IpexLLMEmbedding(BaseEmbedding):
)
# Apply ipex-llm optimizations
- self._model = _optimize_pre(self._model)
- self._model = _optimize_post(self._model)
- if self._device == "xpu":
+ model = _optimize_pre(self._model)
+ model = _optimize_post(self._model)
+ if device == "xpu":
# TODO: apply `ipex_llm.optimize_model`
- self._model = self._model.half().to(self._device)
+ model = model.half().to(device)
if max_length:
- self._model.max_seq_length = max_length
+ model.max_seq_length = max_length
else:
- max_length = self._model.max_seq_length
+ max_length = model.max_seq_length
super().__init__(
embed_batch_size=embed_batch_size,
@@ -110,6 +110,8 @@ class IpexLLMEmbedding(BaseEmbedding):
query_instruction=query_instruction,
text_instruction=text_instruction,
)
+ self._model = model
+ self._device = device
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-ipex-llm/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-ipex-llm/pyproject.toml
index d029f7e8f84fcdf873e25cbda5b944159ab6ac70..ed5930b035fb940316cd170125f249e852dc49bc 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-ipex-llm/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-ipex-llm/pyproject.toml
@@ -30,11 +30,11 @@ license = "MIT"
name = "llama-index-embeddings-ipex-llm"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.5"
+version = "0.2.2"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.0"
+llama-index-core = "^0.11.0"
ipex-llm = {allow-prereleases = true, extras = ["llama-index"], version = ">=2.1.0b20240529"}
torch = {optional = true, source = "ipex-xpu-src-us", version = "2.1.0a0"}
torchvision = {optional = true, source = "ipex-xpu-src-us", version = "0.16.0a0"}
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-jinaai/llama_index/embeddings/jinaai/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-jinaai/llama_index/embeddings/jinaai/base.py
index 58f52e22d089569936bdcbbfea024c720921c766..89fd6fe83476f52a8af63ffb84da295cc9687a04 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-jinaai/llama_index/embeddings/jinaai/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-jinaai/llama_index/embeddings/jinaai/base.py
@@ -133,7 +133,7 @@ class JinaEmbedding(MultiModalEmbedding):
Defaults to `jina-embeddings-v2-base-en`
"""
- api_key: str = Field(default=None, description="The JinaAI API key.")
+ api_key: Optional[str] = Field(default=None, description="The JinaAI API key.")
model: str = Field(
default="jina-embeddings-v2-base-en",
description="The model to use when calling Jina AI API",
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-jinaai/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-jinaai/pyproject.toml
index c7dded5bbd6e622e7a5d9fe2dbdfe0f43a618257..bd1b165f24d6574341092d96d7fc9bd737760071 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-jinaai/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-jinaai/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-jinaai"
readme = "README.md"
-version = "0.2.1"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-langchain/llama_index/embeddings/langchain/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-langchain/llama_index/embeddings/langchain/base.py
index f70a5823941bb6b59730dc57c6640d3e1464e90b..97bcddb05b0510251380d824c5ee0c5378305f95 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-langchain/llama_index/embeddings/langchain/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-langchain/llama_index/embeddings/langchain/base.py
@@ -41,12 +41,12 @@ class LangchainEmbedding(BaseEmbedding):
else:
model_name = type(langchain_embeddings).__name__
- self._langchain_embedding = langchain_embeddings
super().__init__(
embed_batch_size=embed_batch_size,
callback_manager=callback_manager,
model_name=model_name,
)
+ self._langchain_embedding = langchain_embeddings
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-langchain/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-langchain/pyproject.toml
index d1995634effd003ed592510f89b83dc2e598c46f..a2edd9041f4251d466334bd6717d50eacd9e85f5 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-langchain/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-langchain/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-langchain"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-litellm/poetry.lock b/llama-index-integrations/embeddings/llama-index-embeddings-litellm/poetry.lock
index 44a4d07e67490321282e936bbc7a592378852550..19282a62de2eb366a42e71b4e9a2bbed1ac9f28d 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-litellm/poetry.lock
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-litellm/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
[[package]]
name = "aiohappyeyeballs"
@@ -1960,13 +1960,13 @@ proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "
[[package]]
name = "llama-index-core"
-version = "0.10.64"
+version = "0.11.0"
description = "Interface between LLMs and your data"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "llama_index_core-0.10.64-py3-none-any.whl", hash = "sha256:03a22f8bbace4ec92a191d606fb01d44809982a854073a1092b8d7d9fe31749c"},
- {file = "llama_index_core-0.10.64.tar.gz", hash = "sha256:8f2599bfcc00efd7fb525e255f7d0610b02f0d06e2050a20cee5c0139171e3e6"},
+ {file = "llama_index_core-0.11.0-py3-none-any.whl", hash = "sha256:f1242d4aaf9ebe7b297ad28257429010b79944f54ac8c4938b06a882fff3fd1e"},
+ {file = "llama_index_core-0.11.0.tar.gz", hash = "sha256:9cacca2f48d6054677fad16e6cc1e5b00226908a3282d16c717dd728a2894855"},
]
[package.dependencies]
@@ -1978,11 +1978,10 @@ fsspec = ">=2023.5.0"
httpx = "*"
nest-asyncio = ">=1.5.8,<2.0.0"
networkx = ">=3.0"
-nltk = ">=3.8.1,<4.0.0"
+nltk = ">=3.8.1,<3.9 || >3.9"
numpy = "<2.0.0"
-openai = ">=1.1.0"
-pandas = "*"
pillow = ">=9.0.0"
+pydantic = ">=2.0.0,<3.0.0"
PyYAML = ">=6.0.1"
requests = ">=2.31.0"
SQLAlchemy = {version = ">=1.4.49", extras = ["asyncio"]}
@@ -2064,13 +2063,13 @@ files = [
[[package]]
name = "marshmallow"
-version = "3.21.3"
+version = "3.22.0"
description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
optional = false
python-versions = ">=3.8"
files = [
- {file = "marshmallow-3.21.3-py3-none-any.whl", hash = "sha256:86ce7fb914aa865001a4b2092c4c2872d13bc347f3d42673272cabfdbad386f1"},
- {file = "marshmallow-3.21.3.tar.gz", hash = "sha256:4f57c5e050a54d66361e826f94fba213eb10b67b2fdb02c3e0343ce207ba1662"},
+ {file = "marshmallow-3.22.0-py3-none-any.whl", hash = "sha256:71a2dce49ef901c3f97ed296ae5051135fd3febd2bf43afe0ae9a82143a494d9"},
+ {file = "marshmallow-3.22.0.tar.gz", hash = "sha256:4972f529104a220bb8637d595aa4c9762afbe7f7a77d82dc58c1615d70c5823e"},
]
[package.dependencies]
@@ -2078,7 +2077,7 @@ packaging = ">=17.0"
[package.extras]
dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
-docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
+docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.13)", "sphinx (==8.0.2)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
tests = ["pytest", "pytz", "simplejson"]
[[package]]
@@ -2389,13 +2388,13 @@ test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"]
[[package]]
name = "nltk"
-version = "3.8.2"
+version = "3.9.1"
description = "Natural Language Toolkit"
optional = false
python-versions = ">=3.8"
files = [
- {file = "nltk-3.8.2-py3-none-any.whl", hash = "sha256:bae044ae22ebe0b694a87c0012233373209f27d5c76d3572599c842740a62fe0"},
- {file = "nltk-3.8.2.tar.gz", hash = "sha256:9c051aa981c6745894906d5c3aad27417f3d1c10d91eefca50382fc922966f31"},
+ {file = "nltk-3.9.1-py3-none-any.whl", hash = "sha256:4fa26829c5b00715afe3061398a8989dc643b92ce7dd93fb4585a70930d168a1"},
+ {file = "nltk-3.9.1.tar.gz", hash = "sha256:87d127bd3de4bd89a4f81265e5fa59cb1b199b27440175370f7417d2bc7ae868"},
]
[package.dependencies]
@@ -2546,73 +2545,6 @@ files = [
{file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
]
-[[package]]
-name = "pandas"
-version = "2.0.3"
-description = "Powerful data structures for data analysis, time series, and statistics"
-optional = false
-python-versions = ">=3.8"
-files = [
- {file = "pandas-2.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e4c7c9f27a4185304c7caf96dc7d91bc60bc162221152de697c98eb0b2648dd8"},
- {file = "pandas-2.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f167beed68918d62bffb6ec64f2e1d8a7d297a038f86d4aed056b9493fca407f"},
- {file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce0c6f76a0f1ba361551f3e6dceaff06bde7514a374aa43e33b588ec10420183"},
- {file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba619e410a21d8c387a1ea6e8a0e49bb42216474436245718d7f2e88a2f8d7c0"},
- {file = "pandas-2.0.3-cp310-cp310-win32.whl", hash = "sha256:3ef285093b4fe5058eefd756100a367f27029913760773c8bf1d2d8bebe5d210"},
- {file = "pandas-2.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:9ee1a69328d5c36c98d8e74db06f4ad518a1840e8ccb94a4ba86920986bb617e"},
- {file = "pandas-2.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b084b91d8d66ab19f5bb3256cbd5ea661848338301940e17f4492b2ce0801fe8"},
- {file = "pandas-2.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:37673e3bdf1551b95bf5d4ce372b37770f9529743d2498032439371fc7b7eb26"},
- {file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9cb1e14fdb546396b7e1b923ffaeeac24e4cedd14266c3497216dd4448e4f2d"},
- {file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d9cd88488cceb7635aebb84809d087468eb33551097d600c6dad13602029c2df"},
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- {file = "pandas-2.0.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:32fca2ee1b0d93dd71d979726b12b61faa06aeb93cf77468776287f41ff8fdc5"},
- {file = "pandas-2.0.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:258d3624b3ae734490e4d63c430256e716f488c4fcb7c8e9bde2d3aa46c29089"},
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- {file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1994c789bf12a7c5098277fb43836ce090f1073858c10f9220998ac74f37c69b"},
- {file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ec591c48e29226bcbb316e0c1e9423622bc7a4eaf1ef7c3c9fa1a3981f89641"},
- {file = "pandas-2.0.3-cp39-cp39-win32.whl", hash = "sha256:04dbdbaf2e4d46ca8da896e1805bc04eb85caa9a82e259e8eed00254d5e0c682"},
- {file = "pandas-2.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:1168574b036cd8b93abc746171c9b4f1b83467438a5e45909fed645cf8692dbc"},
- {file = "pandas-2.0.3.tar.gz", hash = "sha256:c02f372a88e0d17f36d3093a644c73cfc1788e876a7c4bcb4020a77512e2043c"},
-]
-
-[package.dependencies]
-numpy = [
- {version = ">=1.20.3", markers = "python_version < \"3.10\""},
- {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
- {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
-]
-python-dateutil = ">=2.8.2"
-pytz = ">=2020.1"
-tzdata = ">=2022.1"
-
-[package.extras]
-all = ["PyQt5 (>=5.15.1)", "SQLAlchemy (>=1.4.16)", "beautifulsoup4 (>=4.9.3)", "bottleneck (>=1.3.2)", "brotlipy (>=0.7.0)", "fastparquet (>=0.6.3)", "fsspec (>=2021.07.0)", "gcsfs (>=2021.07.0)", "html5lib (>=1.1)", "hypothesis (>=6.34.2)", "jinja2 (>=3.0.0)", "lxml (>=4.6.3)", "matplotlib (>=3.6.1)", "numba (>=0.53.1)", "numexpr (>=2.7.3)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pandas-gbq (>=0.15.0)", "psycopg2 (>=2.8.6)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "pyreadstat (>=1.1.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)", "python-snappy (>=0.6.0)", "pyxlsb (>=1.0.8)", "qtpy (>=2.2.0)", "s3fs (>=2021.08.0)", "scipy (>=1.7.1)", "tables (>=3.6.1)", "tabulate (>=0.8.9)", "xarray (>=0.21.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)", "zstandard (>=0.15.2)"]
-aws = ["s3fs (>=2021.08.0)"]
-clipboard = ["PyQt5 (>=5.15.1)", "qtpy (>=2.2.0)"]
-compression = ["brotlipy (>=0.7.0)", "python-snappy (>=0.6.0)", "zstandard (>=0.15.2)"]
-computation = ["scipy (>=1.7.1)", "xarray (>=0.21.0)"]
-excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pyxlsb (>=1.0.8)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)"]
-feather = ["pyarrow (>=7.0.0)"]
-fss = ["fsspec (>=2021.07.0)"]
-gcp = ["gcsfs (>=2021.07.0)", "pandas-gbq (>=0.15.0)"]
-hdf5 = ["tables (>=3.6.1)"]
-html = ["beautifulsoup4 (>=4.9.3)", "html5lib (>=1.1)", "lxml (>=4.6.3)"]
-mysql = ["SQLAlchemy (>=1.4.16)", "pymysql (>=1.0.2)"]
-output-formatting = ["jinja2 (>=3.0.0)", "tabulate (>=0.8.9)"]
-parquet = ["pyarrow (>=7.0.0)"]
-performance = ["bottleneck (>=1.3.2)", "numba (>=0.53.1)", "numexpr (>=2.7.1)"]
-plot = ["matplotlib (>=3.6.1)"]
-postgresql = ["SQLAlchemy (>=1.4.16)", "psycopg2 (>=2.8.6)"]
-spss = ["pyreadstat (>=1.1.2)"]
-sql-other = ["SQLAlchemy (>=1.4.16)"]
-test = ["hypothesis (>=6.34.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"]
-xml = ["lxml (>=4.6.3)"]
-
[[package]]
name = "pandocfilters"
version = "1.5.1"
@@ -4493,17 +4425,6 @@ files = [
mypy-extensions = ">=0.3.0"
typing-extensions = ">=3.7.4"
-[[package]]
-name = "tzdata"
-version = "2024.1"
-description = "Provider of IANA time zone data"
-optional = false
-python-versions = ">=2"
-files = [
- {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
- {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
-]
-
[[package]]
name = "uri-template"
version = "1.3.0"
@@ -4819,4 +4740,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
-content-hash = "418b73134491a9980e1c42d7a55f3a64570beaf06f131a5fb01c7cfb227db43d"
+content-hash = "c08efd5f40357677df459a15f21dbeda7852110d5c418633f6d04e83e1962364"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-litellm/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-litellm/pyproject.toml
index bee66a5d98ff17e8e210afc5187b92ef681ce18e..07213990820a3c022b496710037584e43f92d894 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-litellm/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-litellm/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-litellm"
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
litellm = "^1.41.3"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-llamafile/llama_index/embeddings/llamafile/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-llamafile/llama_index/embeddings/llamafile/base.py
index 4db6a351cab32b0ff1b28d0285047bcad94b1070..fc2441bad839c7e495a8c13a99127f561f8a5062 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-llamafile/llama_index/embeddings/llamafile/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-llamafile/llama_index/embeddings/llamafile/base.py
@@ -43,7 +43,11 @@ class LlamafileEmbedding(BaseEmbedding):
callback_manager: Optional[CallbackManager] = None,
**kwargs,
) -> None:
- super().__init__(base_url=base_url, callback_manager=callback_manager, **kwargs)
+ super().__init__(
+ base_url=base_url,
+ callback_manager=callback_manager or CallbackManager([]),
+ **kwargs,
+ )
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-llamafile/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-llamafile/pyproject.toml
index 93376eaa38001995069d6f4024705bb441764088..eca528f85c885b45ead69e90ce9eba36dba729d2 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-llamafile/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-llamafile/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-llamafile"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-llm-rails/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-llm-rails/pyproject.toml
index 4217635f0fd93516a6fd9c1da8312218bb9b16aa..dcf7380cf81e40519f337565a69f024928c82309 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-llm-rails/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-llm-rails/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-llm-rails"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-mistralai/llama_index/embeddings/mistralai/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-mistralai/llama_index/embeddings/mistralai/base.py
index 80450faf7d5298f29a4e3649cc3e5dafaaeb5253..6ddbaa00c3647db88078e7b37a539f712d7b4b00 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-mistralai/llama_index/embeddings/mistralai/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-mistralai/llama_index/embeddings/mistralai/base.py
@@ -34,6 +34,12 @@ class MistralAIEmbedding(BaseEmbedding):
callback_manager: Optional[CallbackManager] = None,
**kwargs: Any,
):
+ super().__init__(
+ model_name=model_name,
+ embed_batch_size=embed_batch_size,
+ callback_manager=callback_manager,
+ **kwargs,
+ )
api_key = get_from_param_or_env("api_key", api_key, "MISTRAL_API_KEY", "")
if not api_key:
@@ -42,12 +48,6 @@ class MistralAIEmbedding(BaseEmbedding):
"You can either pass it in as an argument or set it `MISTRAL_API_KEY`."
)
self._client = Mistral(api_key=api_key)
- super().__init__(
- model_name=model_name,
- embed_batch_size=embed_batch_size,
- callback_manager=callback_manager,
- **kwargs,
- )
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-mistralai/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-mistralai/pyproject.toml
index 7b7a353d50dc9c29bf25af84e8987a6744743492..3a7c2ca8789047e19b8f24eb2529c6f5af5377fc 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-mistralai/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-mistralai/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-mistralai"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.1"
mistralai = ">=1.0.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-mixedbreadai/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-mixedbreadai/pyproject.toml
index 45d142dd65874e255743ea5c4c4efefed80495c5..c4f0e12c4e29eb25ee78aa51c1f1cf2e4134c271 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-mixedbreadai/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-mixedbreadai/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
name = "llama-index-embeddings-mixedbreadai"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
mixedbread-ai = "^2.2.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-nomic/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-nomic/pyproject.toml
index ec1711158bc337fbf3be7ded81aeb544e04e5069..073023e85f71419fd4c478f6d299e46de0db3dae 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-nomic/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-nomic/pyproject.toml
@@ -27,14 +27,14 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-nomic"
readme = "README.md"
-version = "0.4.0.post1"
+version = "0.5.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.11.post1"
-llama-index-embeddings-huggingface = "^0.1.3"
+llama-index-embeddings-huggingface = "^0.3.0"
einops = "^0.7.0"
nomic = "^3.0.30"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-nvidia/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-nvidia/pyproject.toml
index 1636731fec9d6f1b3e1a15f18d86bd60a4d0ffdf..3ebb93a00de45020650b657cd832fda6c34d7960 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-nvidia/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-nvidia/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-nvidia"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.9"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-oci-genai/llama_index/embeddings/oci_genai/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-oci-genai/llama_index/embeddings/oci_genai/base.py
index d75a2d1a1f8b609da257e2edd841bba86ee2ec66..ec992e6b439f9b9f18dc240e5ea754bc51bf48f4 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-oci-genai/llama_index/embeddings/oci_genai/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-oci-genai/llama_index/embeddings/oci_genai/base.py
@@ -73,12 +73,12 @@ class OCIGenAIEmbeddings(BaseEmbedding):
default=None,
)
- service_endpoint: str = Field(
+ service_endpoint: Optional[str] = Field(
description="service endpoint url.",
default=None,
)
- compartment_id: str = Field(
+ compartment_id: Optional[str] = Field(
description="OCID of compartment.",
default=None,
)
@@ -100,8 +100,8 @@ class OCIGenAIEmbeddings(BaseEmbedding):
model_name: str,
truncate: str = "END",
input_type: Optional[str] = None,
- service_endpoint: str = None,
- compartment_id: str = None,
+ service_endpoint: Optional[str] = None,
+ compartment_id: Optional[str] = None,
auth_type: Optional[str] = "API_KEY",
auth_profile: Optional[str] = "DEFAULT",
client: Optional[Any] = None,
@@ -133,6 +133,17 @@ class OCIGenAIEmbeddings(BaseEmbedding):
client (Optional[Any]): An optional OCI client object. If not provided, the client will be created using the
provided service endpoint and authentifcation method.
"""
+ super().__init__(
+ model_name=model_name,
+ truncate=truncate,
+ input_type=input_type,
+ service_endpoint=service_endpoint,
+ compartment_id=compartment_id,
+ auth_type=auth_type,
+ auth_profile=auth_profile,
+ embed_batch_size=embed_batch_size,
+ callback_manager=callback_manager,
+ )
if client is not None:
self._client = client
else:
@@ -203,18 +214,6 @@ class OCIGenAIEmbeddings(BaseEmbedding):
e,
) from e
- super().__init__(
- model_name=model_name,
- truncate=truncate,
- input_type=input_type,
- service_endpoint=service_endpoint,
- compartment_id=compartment_id,
- auth_type=auth_type,
- auth_profile=auth_profile,
- embed_batch_size=embed_batch_size,
- callback_manager=callback_manager,
- )
-
@classmethod
def class_name(self) -> str:
return "OCIGenAIEmbeddings"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-oci-genai/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-oci-genai/pyproject.toml
index 664a42bf0d7b6d009e254c9e0ee93b0f448fb867..464761b491577bce5a642404c7b03f4002cc1aef 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-oci-genai/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-oci-genai/pyproject.toml
@@ -31,12 +31,12 @@ license = "MIT"
name = "llama-index-embeddings-oci-genai"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
oci = ">=2.125.3"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-octoai/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-octoai/pyproject.toml
index b9e7c4ec1c14a9ebc330e4cf16933bbdc1718b19..64b0ca323fe62ecd5448fb480897cd78c5fc31a4 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-octoai/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-octoai/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-embeddings-octoai"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
-llama-index-embeddings-openai = "^0.1.7"
+llama-index-embeddings-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-ollama/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-ollama/pyproject.toml
index 91840b20cdaaa0436453534c2286077cfb41b050..df3d89f366a8c04954c5f87abdba2ddcbe324b2b 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-ollama/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-ollama/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-ollama"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
ollama = "^0.3.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-openai/llama_index/embeddings/openai/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-openai/llama_index/embeddings/openai/base.py
index d01a429b03b39404144032ad58afcecf20892f40..8e9dcaeea714c7bb027461be01ec52cc92b14b93 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-openai/llama_index/embeddings/openai/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-openai/llama_index/embeddings/openai/base.py
@@ -312,8 +312,8 @@ class OpenAIEmbedding(BaseEmbedding):
api_version=api_version,
)
- self._query_engine = get_engine(mode, model, _QUERY_MODE_MODEL_DICT)
- self._text_engine = get_engine(mode, model, _TEXT_MODE_MODEL_DICT)
+ query_engine = get_engine(mode, model, _QUERY_MODE_MODEL_DICT)
+ text_engine = get_engine(mode, model, _TEXT_MODE_MODEL_DICT)
if "model_name" in kwargs:
model_name = kwargs.pop("model_name")
@@ -337,6 +337,8 @@ class OpenAIEmbedding(BaseEmbedding):
num_workers=num_workers,
**kwargs,
)
+ self._query_engine = query_engine
+ self._text_engine = text_engine
self._client = None
self._aclient = None
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-openai/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-openai/pyproject.toml
index cdc548fe52f8ed5f398e7454c92f3da7b917b742..6cf42fe07e1ce8d32700fc92ea41732512b06048 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-openai/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-openai/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-openai"
readme = "README.md"
-version = "0.1.12"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
openai = ">=1.1.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-premai/llama_index/embeddings/premai/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-premai/llama_index/embeddings/premai/base.py
index ee040b9c8709d432e1e5276e0e9f16c344cc00eb..f2cf28e0808e9b645a0686f92a037ca84aa43c4e 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-premai/llama_index/embeddings/premai/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-premai/llama_index/embeddings/premai/base.py
@@ -47,7 +47,6 @@ class PremAIEmbeddings(BaseEmbedding):
"You must provide an API key to use PremAI. "
"You can either pass it in as an argument or set it `PREMAI_API_KEY`."
)
- self._premai_client = Prem(api_key=api_key)
super().__init__(
project_id=project_id,
model_name=model_name,
@@ -55,6 +54,8 @@ class PremAIEmbeddings(BaseEmbedding):
**kwargs,
)
+ self._premai_client = Prem(api_key=api_key)
+
@classmethod
def class_name(cls) -> str:
return "PremAIEmbeddings"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-premai/llama_index/embeddings/premai/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-premai/llama_index/embeddings/premai/pyproject.toml
index 96acb32e463f4cca5b872aeddc9bb57b69b7ffd2..4c54ff9cf2414c011ca231fd02f95709946db7d9 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-premai/llama_index/embeddings/premai/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-premai/llama_index/embeddings/premai/pyproject.toml
@@ -27,7 +27,7 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-premai"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-premai/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-premai/pyproject.toml
index d31a328fd77abd8c18c21fa28cda461855d7f42c..f2a05f2ca7041a34b63018638512feeb98cb7241 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-premai/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-premai/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-premai"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
premai = "^0.3.20"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-sagemaker-endpoint/llama_index/embeddings/sagemaker_endpoint/base.py b/llama-index-integrations/embeddings/llama-index-embeddings-sagemaker-endpoint/llama_index/embeddings/sagemaker_endpoint/base.py
index 4fa22639cfa20f583d596cf1d3d5f2e336fbd39b..bfc657624af33c71559029e0f3b6ec4e7e630640 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-sagemaker-endpoint/llama_index/embeddings/sagemaker_endpoint/base.py
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-sagemaker-endpoint/llama_index/embeddings/sagemaker_endpoint/base.py
@@ -79,6 +79,16 @@ class SageMakerEmbedding(BaseEmbedding):
endpoint_kwargs = endpoint_kwargs or {}
model_kwargs = model_kwargs or {}
content_handler = content_handler
+
+ super().__init__(
+ endpoint_name=endpoint_name,
+ endpoint_kwargs=endpoint_kwargs,
+ model_kwargs=model_kwargs,
+ content_handler=content_handler,
+ embed_batch_size=embed_batch_size,
+ pydantic_program_mode=pydantic_program_mode,
+ callback_manager=callback_manager,
+ )
self._client = get_aws_service_client(
service_name="sagemaker-runtime",
profile_name=profile_name,
@@ -91,16 +101,6 @@ class SageMakerEmbedding(BaseEmbedding):
)
self._verbose = verbose
- super().__init__(
- endpoint_name=endpoint_name,
- endpoint_kwargs=endpoint_kwargs,
- model_kwargs=model_kwargs,
- content_handler=content_handler,
- embed_batch_size=embed_batch_size,
- pydantic_program_mode=pydantic_program_mode,
- callback_manager=callback_manager,
- )
-
@classmethod
def class_name(self) -> str:
return "SageMakerEmbedding"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-sagemaker-endpoint/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-sagemaker-endpoint/pyproject.toml
index 43c6e2363415d2c082dec395f4528e40cc5fbd37..72154476d16e07606d37a4696f3821ea20c74be1 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-sagemaker-endpoint/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-sagemaker-endpoint/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-sagemaker-endpoint"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-text-embeddings-inference/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-text-embeddings-inference/pyproject.toml
index c0df9de3fa9c9c5bc3eeba550f8d0f9827b21204..619828e4369a6a0019fa95a9b20623dd3905d141 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-text-embeddings-inference/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-text-embeddings-inference/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-text-embeddings-inference"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
httpx = ">=0.26.0"
-llama-index-utils-huggingface = "^0.1.1"
+llama-index-utils-huggingface = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-textembed/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-textembed/pyproject.toml
index 6184a3c59e8b918d228dbfb3e2bc04f4b5cc4829..4821723a209216284a8a332805b11742ce021a5d 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-textembed/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-textembed/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-textembed"
readme = "README.md"
-version = "0.0.1"
+version = "0.1.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-together/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-together/pyproject.toml
index a57970712b72948fab6c885e797a36b761eb843d..93518c70b1c4c0e35a0d0aae748756516eee3b97 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-together/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-together/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-together"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-upstage/poetry.lock b/llama-index-integrations/embeddings/llama-index-embeddings-upstage/poetry.lock
index 2dd6f3b1f298013042d34a9e203e16ca099049d9..5b20daf6d3e080e70a1ea7e222dd076bd66539b9 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-upstage/poetry.lock
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-upstage/poetry.lock
@@ -1,99 +1,114 @@
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name = "llama-index-core"
-version = "0.10.64"
+version = "0.11.0"
description = "Interface between LLMs and your data"
optional = false
python-versions = "<4.0,>=3.8.1"
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httpx = "*"
nest-asyncio = ">=1.5.8,<2.0.0"
networkx = ">=3.0"
-nltk = ">=3.8.1,<4.0.0"
+nltk = ">=3.8.1,<3.9 || >3.9"
numpy = "<2.0.0"
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-pandas = "*"
pillow = ">=9.0.0"
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PyYAML = ">=6.0.1"
requests = ">=2.31.0"
SQLAlchemy = {version = ">=1.4.49", extras = ["asyncio"]}
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[[package]]
name = "llama-index-embeddings-openai"
-version = "0.1.11"
+version = "0.2.0"
description = "llama-index embeddings openai integration"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
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[package.dependencies]
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+llama-index-core = ">=0.11.0,<0.12.0"
+openai = ">=1.1.0"
[[package]]
name = "markupsafe"
@@ -2016,13 +2031,13 @@ files = [
[[package]]
name = "marshmallow"
-version = "3.21.3"
+version = "3.22.0"
description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
optional = false
python-versions = ">=3.8"
files = [
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@@ -2030,7 +2045,7 @@ packaging = ">=17.0"
[package.extras]
dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
-docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
+docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.13)", "sphinx (==8.0.2)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
tests = ["pytest", "pytz", "simplejson"]
[[package]]
@@ -2341,13 +2356,13 @@ test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"]
[[package]]
name = "nltk"
-version = "3.8.2"
+version = "3.9.1"
description = "Natural Language Toolkit"
optional = false
python-versions = ">=3.8"
files = [
- {file = "nltk-3.8.2-py3-none-any.whl", hash = "sha256:bae044ae22ebe0b694a87c0012233373209f27d5c76d3572599c842740a62fe0"},
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]
[package.dependencies]
@@ -2454,13 +2469,13 @@ files = [
[[package]]
name = "openai"
-version = "1.40.3"
+version = "1.41.1"
description = "The official Python library for the openai API"
optional = false
python-versions = ">=3.7.1"
files = [
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- {file = "openai-1.40.3.tar.gz", hash = "sha256:f2ffe907618240938c59d7ccc67dd01dc8c50be203c0077240db6758d2f02480"},
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+ {file = "openai-1.41.1.tar.gz", hash = "sha256:e38e376efd91e0d4db071e2a6517b6b4cac1c2a6fd63efdc5ec6be10c5967c1b"},
]
[package.dependencies]
@@ -2498,73 +2513,6 @@ files = [
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]
-[[package]]
-name = "pandas"
-version = "2.0.3"
-description = "Powerful data structures for data analysis, time series, and statistics"
-optional = false
-python-versions = ">=3.8"
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-[package.dependencies]
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- {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
- {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
-]
-python-dateutil = ">=2.8.2"
-pytz = ">=2020.1"
-tzdata = ">=2022.1"
-
-[package.extras]
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-aws = ["s3fs (>=2021.08.0)"]
-clipboard = ["PyQt5 (>=5.15.1)", "qtpy (>=2.2.0)"]
-compression = ["brotlipy (>=0.7.0)", "python-snappy (>=0.6.0)", "zstandard (>=0.15.2)"]
-computation = ["scipy (>=1.7.1)", "xarray (>=0.21.0)"]
-excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pyxlsb (>=1.0.8)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)"]
-feather = ["pyarrow (>=7.0.0)"]
-fss = ["fsspec (>=2021.07.0)"]
-gcp = ["gcsfs (>=2021.07.0)", "pandas-gbq (>=0.15.0)"]
-hdf5 = ["tables (>=3.6.1)"]
-html = ["beautifulsoup4 (>=4.9.3)", "html5lib (>=1.1)", "lxml (>=4.6.3)"]
-mysql = ["SQLAlchemy (>=1.4.16)", "pymysql (>=1.0.2)"]
-output-formatting = ["jinja2 (>=3.0.0)", "tabulate (>=0.8.9)"]
-parquet = ["pyarrow (>=7.0.0)"]
-performance = ["bottleneck (>=1.3.2)", "numba (>=0.53.1)", "numexpr (>=2.7.1)"]
-plot = ["matplotlib (>=3.6.1)"]
-postgresql = ["SQLAlchemy (>=1.4.16)", "psycopg2 (>=2.8.6)"]
-spss = ["pyreadstat (>=1.1.2)"]
-sql-other = ["SQLAlchemy (>=1.4.16)"]
-test = ["hypothesis (>=6.34.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"]
-xml = ["lxml (>=4.6.3)"]
-
[[package]]
name = "pandocfilters"
version = "1.5.1"
@@ -4332,17 +4280,6 @@ files = [
mypy-extensions = ">=0.3.0"
typing-extensions = ">=3.7.4"
-[[package]]
-name = "tzdata"
-version = "2024.1"
-description = "Provider of IANA time zone data"
-optional = false
-python-versions = ">=2"
-files = [
- {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
- {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
-]
-
[[package]]
name = "uri-template"
version = "1.3.0"
@@ -4658,4 +4595,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
-content-hash = "b6d049671839a13273846e8aaf6ce211fc6f73f6e0b640d21b1ec74e58e41a62"
+content-hash = "3fba9462a64c62a5a3b7e198f017010592b858aae6423460f4801c9e805ac678"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-upstage/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-upstage/pyproject.toml
index 7cb7c0e063b58bed301aacad34f3118021b60c3b..4aa9f3c03439d3f1da16e3472724c52c0ffb5adf 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-upstage/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-upstage/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-embeddings-upstage"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
-llama-index-embeddings-openai = "^0.1.9"
+llama-index-embeddings-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-vertex/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-vertex/pyproject.toml
index 36ccfe3cb807a597f0538da29cc5f55d39e8385f..8bfa28a3eddb0f33e5e68558112c90244427b6c1 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-vertex/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-vertex/pyproject.toml
@@ -31,13 +31,13 @@ license = "MIT"
name = "llama-index-embeddings-vertex"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.0"
google-cloud-aiplatform = ">=1.43.0"
pyarrow = "^15.0.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-voyageai/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-voyageai/pyproject.toml
index 27e7d784e396ffb448958ae5ba2fcd919a126f6d..5c812dc1ea9febbeb98661124c80b828b311dfb6 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-voyageai/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-voyageai/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-voyageai"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
voyageai = "^0.1.6"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/embeddings/llama-index-embeddings-yandexgpt/pyproject.toml b/llama-index-integrations/embeddings/llama-index-embeddings-yandexgpt/pyproject.toml
index 4478a227daf9485bb89ab37a1e11941f4f922c1e..7c211080992b6a182fd7ec979ddd4109e8428f16 100644
--- a/llama-index-integrations/embeddings/llama-index-embeddings-yandexgpt/pyproject.toml
+++ b/llama-index-integrations/embeddings/llama-index-embeddings-yandexgpt/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-embeddings-yandexgpt"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
tenacity = ">=8.3.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/evaluation/llama-index-evaluation-tonic-validate/pyproject.toml b/llama-index-integrations/evaluation/llama-index-evaluation-tonic-validate/pyproject.toml
index a997f932ddd0b0ffd3b999936a5a97b45304b895..171c5d0b46668a38c31a6e3ae380fcb60b24d258 100644
--- a/llama-index-integrations/evaluation/llama-index-evaluation-tonic-validate/pyproject.toml
+++ b/llama-index-integrations/evaluation/llama-index-evaluation-tonic-validate/pyproject.toml
@@ -33,12 +33,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-evaluation-tonic-validate"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
tonic-validate = "^2.1.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/extractors/llama-index-extractors-entity/llama_index/extractors/entity/base.py b/llama-index-integrations/extractors/llama-index-extractors-entity/llama_index/extractors/entity/base.py
index 93ec1766850c62ceb2b649cddb9162a3bd274123..a737d66449d2e3bc38329f1ec6ff4d89bd9cc987 100644
--- a/llama-index-integrations/extractors/llama-index-extractors-entity/llama_index/extractors/entity/base.py
+++ b/llama-index-integrations/extractors/llama-index-extractors-entity/llama_index/extractors/entity/base.py
@@ -98,12 +98,6 @@ class EntityExtractor(BaseExtractor):
Tokenizer to use for splitting text into words.
Defaults to NLTK word_tokenize.
"""
- self._model = SpanMarkerModel.from_pretrained(model_name)
- if device is not None:
- self._model = self._model.to(device)
-
- self._tokenizer = tokenizer or word_tokenize
-
base_entity_map = DEFAULT_ENTITY_MAP
if entity_map is not None:
base_entity_map.update(entity_map)
@@ -118,6 +112,12 @@ class EntityExtractor(BaseExtractor):
**kwargs,
)
+ self._model = SpanMarkerModel.from_pretrained(model_name)
+ if device is not None:
+ self._model = self._model.to(device)
+
+ self._tokenizer = tokenizer or word_tokenize
+
@classmethod
def class_name(cls) -> str:
return "EntityExtractor"
diff --git a/llama-index-integrations/extractors/llama-index-extractors-entity/pyproject.toml b/llama-index-integrations/extractors/llama-index-extractors-entity/pyproject.toml
index bb867dbfee0c97acb4ced3f7bd7cb86c6b02d702..2fa359696c3312acc58d9a26284f6d7a878aa1c5 100644
--- a/llama-index-integrations/extractors/llama-index-extractors-entity/pyproject.toml
+++ b/llama-index-integrations/extractors/llama-index-extractors-entity/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-extractors-entity"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
span-marker = ">=1.5.0"
huggingface-hub = "<0.24.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/extractors/llama-index-extractors-marvin/pyproject.toml b/llama-index-integrations/extractors/llama-index-extractors-marvin/pyproject.toml
index 963e74d167969ea97b4676a764bda9882d1cf6d1..12cabfd7ce60efcd68fef5cd9f301ce16be62a2c 100644
--- a/llama-index-integrations/extractors/llama-index-extractors-marvin/pyproject.toml
+++ b/llama-index-integrations/extractors/llama-index-extractors-marvin/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-extractors-marvin"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.11.post1"
marvin = "^2.1.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/extractors/llama-index-extractors-relik/pyproject.toml b/llama-index-integrations/extractors/llama-index-extractors-relik/pyproject.toml
index 1f603439d8e09914b8a9022e44317c793eb8b17d..154bb9a14a303b16f557d0119049d623c6337377 100644
--- a/llama-index-integrations/extractors/llama-index-extractors-relik/pyproject.toml
+++ b/llama-index-integrations/extractors/llama-index-extractors-relik/pyproject.toml
@@ -27,13 +27,14 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-extractors-relik"
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.10,<4.0"
-llama-index-core = "^0.10.1"
relik = "^1.0.3"
huggingface-hub = "<0.24.0" # TODO: relik breaks on newer versions
+spacy = "^3.7.6"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/graph_stores/llama-index-graph-stores-falkordb/pyproject.toml b/llama-index-integrations/graph_stores/llama-index-graph-stores-falkordb/pyproject.toml
index 28dd9227bbbfffcba1a54769b1ca83acdd415e97..26ebc55c134b4a655d9f1a5ecd725057262eddd2 100644
--- a/llama-index-integrations/graph_stores/llama-index-graph-stores-falkordb/pyproject.toml
+++ b/llama-index-integrations/graph_stores/llama-index-graph-stores-falkordb/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-graph-stores-falkordb"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
falkordb = "^1.0.4"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/graph_stores/llama-index-graph-stores-kuzu/pyproject.toml b/llama-index-integrations/graph_stores/llama-index-graph-stores-kuzu/pyproject.toml
index 88976b66e82a4363df42726533200ecc5df03d4a..b2a5d3426fc59150e1df282da494bb7f588e6db8 100644
--- a/llama-index-integrations/graph_stores/llama-index-graph-stores-kuzu/pyproject.toml
+++ b/llama-index-integrations/graph_stores/llama-index-graph-stores-kuzu/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-graph-stores-kuzu"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
kuzu = "^0.4.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/graph_stores/llama-index-graph-stores-nebula/pyproject.toml b/llama-index-integrations/graph_stores/llama-index-graph-stores-nebula/pyproject.toml
index 82a6a497eed58f6c723ebd92c9a5f87a37083e54..bbf9b30fc4832d8034693698b22db80421e2bbf1 100644
--- a/llama-index-integrations/graph_stores/llama-index-graph-stores-nebula/pyproject.toml
+++ b/llama-index-integrations/graph_stores/llama-index-graph-stores-nebula/pyproject.toml
@@ -28,12 +28,12 @@ exclude = ["**/BUILD"]
license = "Apache-2.0"
name = "llama-index-graph-stores-nebula"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.40"
nebula3-python = "^3.8.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/graph_stores/llama-index-graph-stores-neo4j/pyproject.toml b/llama-index-integrations/graph_stores/llama-index-graph-stores-neo4j/pyproject.toml
index eca3ac60b1d02edf72d71da125f5572ff99cf2b8..9bbd7ded033b2e5e1c28552f37bf557160454193 100644
--- a/llama-index-integrations/graph_stores/llama-index-graph-stores-neo4j/pyproject.toml
+++ b/llama-index-integrations/graph_stores/llama-index-graph-stores-neo4j/pyproject.toml
@@ -28,12 +28,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-graph-stores-neo4j"
readme = "README.md"
-version = "0.2.14"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.40"
neo4j = "^5.16.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/llama_index/graph_stores/neptune/base_property_graph.py b/llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/llama_index/graph_stores/neptune/base_property_graph.py
index 93bf0d5501d15a0b43dbeed8f1a626f26f3e0642..6e119ac641590e1f1c58d451346d67e3d0514bec 100644
--- a/llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/llama_index/graph_stores/neptune/base_property_graph.py
+++ b/llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/llama_index/graph_stores/neptune/base_property_graph.py
@@ -31,12 +31,15 @@ class NeptuneBasePropertyGraph(PropertyGraphStore):
def client(self) -> Any:
return self._client
- def get(self, properties: Dict = None, ids: List[str] = None) -> List[LabelledNode]:
+ def get(
+ self, properties: Dict = None, ids: List[str] = None, exact_match: bool = True
+ ) -> List[LabelledNode]:
"""Get the nodes from the graph.
Args:
properties (Dict | None, optional): The properties to retrieve. Defaults to None.
ids (List[str] | None, optional): A list of ids to find in the graph. Defaults to None.
+ exact_match (bool, optional): Whether to do exact match on properties. Defaults to True.
Returns:
List[LabelledNode]: A list of nodes returned
@@ -48,7 +51,10 @@ class NeptuneBasePropertyGraph(PropertyGraphStore):
cypher_statement += "WHERE "
if ids:
- cypher_statement += "e.id in $ids "
+ if exact_match:
+ cypher_statement += "e.id IN $ids "
+ else:
+ cypher_statement += "WHERE size([x IN $ids where toLower(e.id) CONTAINS toLower(x)]) > 0 "
params["ids"] = ids
if properties:
diff --git a/llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/pyproject.toml b/llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/pyproject.toml
index 78f11946aec71089798e269144b5e4b87c1304d3..1afd9f732059459e4af2ee7754bbd32e455408ad 100644
--- a/llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/pyproject.toml
+++ b/llama-index-integrations/graph_stores/llama-index-graph-stores-neptune/pyproject.toml
@@ -30,12 +30,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-graph-stores-neptune"
readme = "README.md"
-version = "0.1.8"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
boto3 = "^1.34.40"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/graph_stores/llama-index-graph-stores-tidb/pyproject.toml b/llama-index-integrations/graph_stores/llama-index-graph-stores-tidb/pyproject.toml
index 9745b178b841461740276a6c986d3308fc8f8ea5..6a11eba4fc452adb5b0168953646fd43a59ac59e 100644
--- a/llama-index-integrations/graph_stores/llama-index-graph-stores-tidb/pyproject.toml
+++ b/llama-index-integrations/graph_stores/llama-index-graph-stores-tidb/pyproject.toml
@@ -28,14 +28,14 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-graph-stores-tidb"
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
tidb-vector = "^0.0.9"
PyMySQL = "^1.1.1"
SQLAlchemy = "^2.0.30"
-llama-index-core = "^0.10.40"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
jupyter = "^1.0.0"
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-bge-m3/pyproject.toml b/llama-index-integrations/indices/llama-index-indices-managed-bge-m3/pyproject.toml
index 5977bf84a9ffb644c6c7f65d4132d91c9a254903..b354d64f2fdfe387959a9bb661d132917ca4c0d7 100644
--- a/llama-index-integrations/indices/llama-index-indices-managed-bge-m3/pyproject.toml
+++ b/llama-index-integrations/indices/llama-index-indices-managed-bge-m3/pyproject.toml
@@ -30,13 +30,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-indices-managed-bge-m3"
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
peft = "^0.12.0"
flagembedding = "^1.2.11"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-colbert/pyproject.toml b/llama-index-integrations/indices/llama-index-indices-managed-colbert/pyproject.toml
index e4bd41d24340362cc7e3053338ee2aaf697eb469..6d81820ec4d14af75d767f15ac1bd85f69580900 100644
--- a/llama-index-integrations/indices/llama-index-indices-managed-colbert/pyproject.toml
+++ b/llama-index-integrations/indices/llama-index-indices-managed-colbert/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-indices-managed-colbert"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-dashscope/llama_index/indices/managed/dashscope/transformations.py b/llama-index-integrations/indices/llama-index-indices-managed-dashscope/llama_index/indices/managed/dashscope/transformations.py
index a43822c1576c8736b52ae1a1b0b85c333d7adefd..9b52a73b93142f9342ce13a35b306e3e2a52cb9a 100644
--- a/llama-index-integrations/indices/llama-index-indices-managed-dashscope/llama_index/indices/managed/dashscope/transformations.py
+++ b/llama-index-integrations/indices/llama-index-indices-managed-dashscope/llama_index/indices/managed/dashscope/transformations.py
@@ -7,7 +7,7 @@ from typing import Generic, TypeVar
from llama_index.core.bridge.pydantic import (
Field,
- GenericModel,
+ BaseModel,
ValidationError,
)
@@ -96,7 +96,7 @@ ConfigurableTransformations = dashscope_build_configurable_transformation_enum()
T = TypeVar("T", bound=BaseComponent)
-class DashScopeConfiguredTransformation(GenericModel, Generic[T]):
+class DashScopeConfiguredTransformation(BaseModel, Generic[T]):
"""
A class containing metadata & implementation for a transformation in a dashscope pipeline.
"""
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-dashscope/pyproject.toml b/llama-index-integrations/indices/llama-index-indices-managed-dashscope/pyproject.toml
index cea9281e8b542afb6e8001334dae3cca796902ad..876866023373685fd76ff7a41d62d35579874346 100644
--- a/llama-index-integrations/indices/llama-index-indices-managed-dashscope/pyproject.toml
+++ b/llama-index-integrations/indices/llama-index-indices-managed-dashscope/pyproject.toml
@@ -30,14 +30,14 @@ license = "MIT"
name = "llama-index-indices-managed-dashscope"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
-llama-index-embeddings-dashscope = ">=0.1.3"
-llama-index-readers-dashscope = ">=0.1.1"
-llama-index-node-parser-dashscope = ">=0.1.2"
+llama-index-embeddings-dashscope = "^0.2.0"
+llama-index-readers-dashscope = "^0.2.0"
+llama-index-node-parser-dashscope = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-google/llama_index/indices/managed/google/base.py b/llama-index-integrations/indices/llama-index-indices-managed-google/llama_index/indices/managed/google/base.py
index bba6d0478a6637d8e9df1d111b04528b82c14d58..4d8e409d8ebab64686cccafc07905d78b23520fc 100644
--- a/llama-index-integrations/indices/llama-index-indices-managed-google/llama_index/indices/managed/google/base.py
+++ b/llama-index-integrations/indices/llama-index-indices-managed-google/llama_index/indices/managed/google/base.py
@@ -25,7 +25,6 @@ from llama_index.core.indices.base import IndexType
from llama_index.core.indices.base_retriever import BaseRetriever
from llama_index.core.indices.managed.base import BaseManagedIndex
from llama_index.core.indices.query.base import BaseQueryEngine
-from llama_index.core.indices.service_context import ServiceContext
from llama_index.core.llms.utils import LLMType
from llama_index.core.schema import BaseNode, Document, TransformComponent
from llama_index.core.storage.storage_context import StorageContext
@@ -50,7 +49,6 @@ class GoogleIndex(BaseManagedIndex):
vector_store: GoogleVectorStore,
embed_model: Optional[BaseEmbedding] = None,
# deprecated
- service_context: Optional[ServiceContext] = None,
**kwargs: Any,
) -> None:
"""Creates an instance of GoogleIndex.
@@ -66,7 +64,6 @@ class GoogleIndex(BaseManagedIndex):
super().__init__(
index_struct=self._index.index_struct,
- service_context=service_context,
**kwargs,
)
@@ -125,7 +122,6 @@ class GoogleIndex(BaseManagedIndex):
callback_manager: Optional[CallbackManager] = None,
transformations: Optional[List[TransformComponent]] = None,
# deprecated
- service_context: Optional[ServiceContext] = None,
embed_model: Optional[BaseEmbedding] = None,
**kwargs: Any,
) -> IndexType:
@@ -136,7 +132,6 @@ class GoogleIndex(BaseManagedIndex):
instance = cls(
vector_store=GoogleVectorStore.create_corpus(display_name=new_display_name),
embed_model=embed_model,
- service_context=service_context,
storage_context=storage_context,
show_progress=show_progress,
callback_manager=callback_manager,
@@ -147,7 +142,6 @@ class GoogleIndex(BaseManagedIndex):
index = cast(GoogleIndex, instance)
index.insert_documents(
documents=documents,
- service_context=service_context,
)
return instance
@@ -250,8 +244,6 @@ class GoogleIndex(BaseManagedIndex):
answer_style=answer_style,
safety_setting=safety_setting,
)
- if "service_context" not in local_kwargs:
- local_kwargs["service_context"] = self._service_context
return RetrieverQueryEngine.from_args(**local_kwargs)
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-google/pyproject.toml b/llama-index-integrations/indices/llama-index-indices-managed-google/pyproject.toml
index 94af2680ed9622dd518cd9b7382e49178128e27b..af3b4f3796d09c0940a76476225a7d3fd0d5d2bf 100644
--- a/llama-index-integrations/indices/llama-index-indices-managed-google/pyproject.toml
+++ b/llama-index-integrations/indices/llama-index-indices-managed-google/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-indices-managed-google"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.11.post1"
-llama-index-vector-stores-google = "^0.1.3"
-llama-index-response-synthesizers-google = "^0.1.3"
+llama-index-vector-stores-google = "^0.2.0"
+llama-index-response-synthesizers-google = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/pyproject.toml b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/pyproject.toml
index 940144069f7714ba6fd88bd499468a40eee74f52..fc39fefd639bb3604af3a90668880ebe4e5c4232 100644
--- a/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/pyproject.toml
+++ b/llama-index-integrations/indices/llama-index-indices-managed-llama-cloud/pyproject.toml
@@ -30,12 +30,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-indices-managed-llama-cloud"
readme = "README.md"
-version = "0.2.7"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.48.post1"
llama-cloud = ">=0.0.11"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-postgresml/pyproject.toml b/llama-index-integrations/indices/llama-index-indices-managed-postgresml/pyproject.toml
index 9be73aa2b407be69fa1a9fc3cc6dd3d3b550a07c..d01cd057247815482dcf28c4fa9c5a33dccda80f 100644
--- a/llama-index-integrations/indices/llama-index-indices-managed-postgresml/pyproject.toml
+++ b/llama-index-integrations/indices/llama-index-indices-managed-postgresml/pyproject.toml
@@ -28,12 +28,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-indices-managed-postgresml"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pgml = "^1.1.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-vectara/llama_index/indices/managed/vectara/prompts.py b/llama-index-integrations/indices/llama-index-indices-managed-vectara/llama_index/indices/managed/vectara/prompts.py
index 1e8cc906b09d3a1a3e73045484a3b15a78461895..38a8b00e745dda5a3c0b9739f3cc6013971d0053 100644
--- a/llama-index-integrations/indices/llama-index-indices-managed-vectara/llama_index/indices/managed/vectara/prompts.py
+++ b/llama-index-integrations/indices/llama-index-indices-managed-vectara/llama_index/indices/managed/vectara/prompts.py
@@ -101,7 +101,7 @@ EXAMPLES = f"""\
<< Example 1. >>
Data Source:
```json
-{example_info_1.json(indent=4)}
+{example_info_1.model_dump_json(indent=4)}
```
User Query:
@@ -109,13 +109,13 @@ User Query:
Structured Request:
```json
-{example_output_1.json()}
+{example_output_1.model_dump_json()}
<< Example 2. >>
Data Source:
```json
-{example_info_2.json(indent=4)}
+{example_info_2.model_dump_json(indent=4)}
```
User Query:
@@ -123,7 +123,7 @@ User Query:
Structured Request:
```json
-{example_output_2.json()}
+{example_output_2.model_dump_json()}
```
""".replace(
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-vectara/llama_index/indices/managed/vectara/query.py b/llama-index-integrations/indices/llama-index-indices-managed-vectara/llama_index/indices/managed/vectara/query.py
index 26440f6e2ddee1f2c36e6b7fa93cd7f733ff8c1d..54348cfdbb1613574e6975140808218c16548e7b 100644
--- a/llama-index-integrations/indices/llama-index-indices-managed-vectara/llama_index/indices/managed/vectara/query.py
+++ b/llama-index-integrations/indices/llama-index-indices-managed-vectara/llama_index/indices/managed/vectara/query.py
@@ -7,10 +7,8 @@ from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.postprocessor.types import BaseNodePostprocessor
from llama_index.core.prompts.mixin import PromptDictType, PromptMixinType
from llama_index.core.schema import NodeWithScore, QueryBundle
-from llama_index.core.service_context import ServiceContext
from llama_index.core.settings import (
Settings,
- callback_manager_from_settings_or_context,
)
from llama_index.core.chat_engine.types import (
AgentChatResponse,
@@ -187,7 +185,6 @@ class VectaraChatEngine(BaseChatEngine):
cls,
retriever: VectaraRetriever,
streaming: bool = False,
- service_context: Optional[ServiceContext] = None,
node_postprocessors: Optional[List[BaseNodePostprocessor]] = None,
**kwargs: Any,
) -> "VectaraChatEngine":
@@ -197,9 +194,7 @@ class VectaraChatEngine(BaseChatEngine):
retriever,
streaming,
node_postprocessors=node_postprocessors,
- callback_manager=callback_manager_from_settings_or_context(
- Settings, service_context
- ),
+ callback_manager=Settings.callback_manager,
**kwargs,
)
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-vectara/pyproject.toml b/llama-index-integrations/indices/llama-index-indices-managed-vectara/pyproject.toml
index 63a73f4432cad6847011f3d395ff5999ebc704bb..41251609aabbb9f44dc0c9d3f49e3f0fe727d73e 100644
--- a/llama-index-integrations/indices/llama-index-indices-managed-vectara/pyproject.toml
+++ b/llama-index-integrations/indices/llama-index-indices-managed-vectara/pyproject.toml
@@ -31,11 +31,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-indices-managed-vectara"
readme = "README.md"
-version = "0.1.7"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-vertexai/pyproject.toml b/llama-index-integrations/indices/llama-index-indices-managed-vertexai/pyproject.toml
index 44515042100c1cab93c780519b0daf2b9a0d53cf..852fcb7d6be70f0c58f9da6b6194bf2b0b99289f 100644
--- a/llama-index-integrations/indices/llama-index-indices-managed-vertexai/pyproject.toml
+++ b/llama-index-integrations/indices/llama-index-indices-managed-vertexai/pyproject.toml
@@ -30,13 +30,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-indices-managed-vertexai"
readme = "README.md"
-version = "0.0.2"
+version = "0.1.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
llamaindex-py-client = "^0.1.19"
google-cloud-aiplatform = "^1.53.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/indices/llama-index-indices-managed-zilliz/pyproject.toml b/llama-index-integrations/indices/llama-index-indices-managed-zilliz/pyproject.toml
index 902a66c76c075f8709660746669e58e5a7b56939..462dd5a618fd449c186b6db65e696454a3ab967a 100644
--- a/llama-index-integrations/indices/llama-index-indices-managed-zilliz/pyproject.toml
+++ b/llama-index-integrations/indices/llama-index-indices-managed-zilliz/pyproject.toml
@@ -30,11 +30,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-indices-managed-zilliz"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-ai21/llama_index/llms/ai21/base.py b/llama-index-integrations/llms/llama-index-llms-ai21/llama_index/llms/ai21/base.py
index e4fa656cf1e5cfacbe68c771b17d69077e3c170f..a6ee4befd9120f91df223d819abeb1dd57a65caf 100644
--- a/llama-index-integrations/llms/llama-index-llms-ai21/llama_index/llms/ai21/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-ai21/llama_index/llms/ai21/base.py
@@ -115,6 +115,18 @@ class AI21(FunctionCallingLLM):
"""Initialize params."""
additional_kwargs = additional_kwargs or {}
callback_manager = callback_manager or CallbackManager([])
+ super().__init__(
+ model=model,
+ max_tokens=max_tokens,
+ temperature=temperature,
+ additional_kwargs=additional_kwargs,
+ callback_manager=callback_manager,
+ system_prompt=system_prompt,
+ messages_to_prompt=messages_to_prompt,
+ completion_to_prompt=completion_to_prompt,
+ pydantic_program_mode=pydantic_program_mode,
+ output_parser=output_parser,
+ )
self._client = AI21Client(
api_key=api_key,
@@ -134,19 +146,6 @@ class AI21(FunctionCallingLLM):
via="llama-index",
)
- super().__init__(
- model=model,
- max_tokens=max_tokens,
- temperature=temperature,
- additional_kwargs=additional_kwargs,
- callback_manager=callback_manager,
- system_prompt=system_prompt,
- messages_to_prompt=messages_to_prompt,
- completion_to_prompt=completion_to_prompt,
- pydantic_program_mode=pydantic_program_mode,
- output_parser=output_parser,
- )
-
@classmethod
def class_name(cls) -> str:
"""Get Class Name."""
diff --git a/llama-index-integrations/llms/llama-index-llms-ai21/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-ai21/pyproject.toml
index 17ea65139f826bd076022225882499bfc54bca46..ffa78c53db0a5fe5281e7e1a3697766515a419b4 100644
--- a/llama-index-integrations/llms/llama-index-llms-ai21/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-ai21/pyproject.toml
@@ -31,8 +31,8 @@ version = "0.3.2"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
ai21 = "^2.13.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-alephalpha/llama_index/llms/alephalpha/base.py b/llama-index-integrations/llms/llama-index-llms-alephalpha/llama_index/llms/alephalpha/base.py
index 652cc588c42155a951d202317abe6062b35c37c5..bfe3e2c3067025a0e4a05ac19740c02e61e097a8 100644
--- a/llama-index-integrations/llms/llama-index-llms-alephalpha/llama_index/llms/alephalpha/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-alephalpha/llama_index/llms/alephalpha/base.py
@@ -63,26 +63,28 @@ class AlephAlpha(LLM):
additional_kwargs: Dict[str, Any] = Field(
default_factory=dict, description="Additional kwargs for the Aleph Alpha API."
)
- repetition_penalties_include_prompt = Field(
+ repetition_penalties_include_prompt: bool = Field(
default=True,
description="Whether presence penalty or frequency penalty are updated from the prompt",
)
- repetition_penalties_include_completion = Field(
+ repetition_penalties_include_completion: bool = Field(
default=True,
description="Whether presence penalty or frequency penalty are updated from the completion.",
)
- sequence_penalty = Field(
+ sequence_penalty: float = Field(
default=0.7,
description="The sequence penalty to use. Increasing the sequence penalty reduces the likelihood of reproducing token sequences that already appear in the prompt",
gte=0.0,
lte=1.0,
)
- sequence_penalty_min_length = Field(
+ sequence_penalty_min_length: int = Field(
default=3,
description="Minimal number of tokens to be considered as sequence. Must be greater or equal 2.",
gte=2,
)
- stop_sequences = Field(default=["\n\n"], description="The stop sequences to use.")
+ stop_sequences: List[str] = Field(
+ default=["\n\n"], description="The stop sequences to use."
+ )
log_probs: Optional[int] = Field(
default=None,
description="Number of top log probabilities to return for each token generated.",
diff --git a/llama-index-integrations/llms/llama-index-llms-alephalpha/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-alephalpha/pyproject.toml
index d2209d19040cc8d5dbf02aa089a8579ad126e699..37822621fcc453a7495c7d36b541183f947f927a 100644
--- a/llama-index-integrations/llms/llama-index-llms-alephalpha/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-alephalpha/pyproject.toml
@@ -30,12 +30,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-alephalpha"
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
aleph-alpha-client = "^7.0.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-anthropic/llama_index/llms/anthropic/base.py b/llama-index-integrations/llms/llama-index-llms-anthropic/llama_index/llms/anthropic/base.py
index 221b6b1949f3b0188d0e6fdeb503e05a92a79f9c..d5e06ae3ec34da27a94ab628c78acbd92ad080b7 100644
--- a/llama-index-integrations/llms/llama-index-llms-anthropic/llama_index/llms/anthropic/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-anthropic/llama_index/llms/anthropic/base.py
@@ -129,21 +129,6 @@ class Anthropic(FunctionCallingLLM):
additional_kwargs = additional_kwargs or {}
callback_manager = callback_manager or CallbackManager([])
- self._client = anthropic.Anthropic(
- api_key=api_key,
- base_url=base_url,
- timeout=timeout,
- max_retries=max_retries,
- default_headers=default_headers,
- )
- self._aclient = anthropic.AsyncAnthropic(
- api_key=api_key,
- base_url=base_url,
- timeout=timeout,
- max_retries=max_retries,
- default_headers=default_headers,
- )
-
super().__init__(
temperature=temperature,
max_tokens=max_tokens,
@@ -160,6 +145,21 @@ class Anthropic(FunctionCallingLLM):
output_parser=output_parser,
)
+ self._client = anthropic.Anthropic(
+ api_key=api_key,
+ base_url=base_url,
+ timeout=timeout,
+ max_retries=max_retries,
+ default_headers=default_headers,
+ )
+ self._aclient = anthropic.AsyncAnthropic(
+ api_key=api_key,
+ base_url=base_url,
+ timeout=timeout,
+ max_retries=max_retries,
+ default_headers=default_headers,
+ )
+
@classmethod
def class_name(cls) -> str:
return "Anthropic_LLM"
diff --git a/llama-index-integrations/llms/llama-index-llms-anthropic/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-anthropic/pyproject.toml
index dbe7db00ab6e0b13dd6be7f6eb07e70f7fe6d944..025a78185a975bb476b4cd656aa8ff68f2d55d63 100644
--- a/llama-index-integrations/llms/llama-index-llms-anthropic/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-anthropic/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-anthropic"
readme = "README.md"
-version = "0.1.17"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.57"
anthropic = ">=0.26.2, <0.29.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-anyscale/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-anyscale/pyproject.toml
index 86e5d15283e0185904356da03e8403289b4c202d..72ac739bb1d5cd8422d8010d128b0b827935b82e 100644
--- a/llama-index-integrations/llms/llama-index-llms-anyscale/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-anyscale/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-anyscale"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-openai = "^0.1.1"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-azure-inference/llama_index/llms/azure_inference/base.py b/llama-index-integrations/llms/llama-index-llms-azure-inference/llama_index/llms/azure_inference/base.py
index edeee59540c94ff7fd320d9799ff6e451cc15620..9f8f4d4ed6981df0b49e9e6d1a76462e2f2761f2 100644
--- a/llama-index-integrations/llms/llama-index-llms-azure-inference/llama_index/llms/azure_inference/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-azure-inference/llama_index/llms/azure_inference/base.py
@@ -245,6 +245,19 @@ class AzureAICompletionsModel(FunctionCallingLLM):
"Pass the credential as a parameter or set the AZURE_INFERENCE_CREDENTIAL"
)
+ super().__init__(
+ model_name=model_name,
+ temperature=temperature,
+ max_tokens=max_tokens,
+ callback_manager=callback_manager,
+ system_prompt=system_prompt,
+ messages_to_prompt=messages_to_prompt,
+ completion_to_prompt=completion_to_prompt,
+ pydantic_program_mode=pydantic_program_mode,
+ output_parser=output_parser,
+ **kwargs,
+ )
+
self._client = ChatCompletionsClient(
endpoint=endpoint,
credential=credential,
@@ -259,19 +272,6 @@ class AzureAICompletionsModel(FunctionCallingLLM):
**client_kwargs,
)
- super().__init__(
- model_name=model_name,
- temperature=temperature,
- max_tokens=max_tokens,
- callback_manager=callback_manager,
- system_prompt=system_prompt,
- messages_to_prompt=messages_to_prompt,
- completion_to_prompt=completion_to_prompt,
- pydantic_program_mode=pydantic_program_mode,
- output_parser=output_parser,
- **kwargs,
- )
-
@classmethod
def class_name(cls) -> str:
return "AzureAICompletionsModel"
diff --git a/llama-index-integrations/llms/llama-index-llms-azure-inference/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-azure-inference/pyproject.toml
index ddb979fe99a7833d0ccd87958514d7f2261b80f3..50d84e85c7061ed768c2e97c11a1cb9ab43c9b6b 100644
--- a/llama-index-integrations/llms/llama-index-llms-azure-inference/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-azure-inference/pyproject.toml
@@ -28,13 +28,13 @@ license = "MIT"
name = "llama-index-llms-azure-inference"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
azure-ai-inference = ">=1.0.0b2"
azure-identity = "^1.15.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-azure-openai/llama_index/llms/azure_openai/base.py b/llama-index-integrations/llms/llama-index-llms-azure-openai/llama_index/llms/azure_openai/base.py
index 4ba6635134a4d7564ed2cfa00edccbd80fd5a77d..efef001caf974af81d4ef760ed103fba0484b3dc 100644
--- a/llama-index-integrations/llms/llama-index-llms-azure-openai/llama_index/llms/azure_openai/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-azure-openai/llama_index/llms/azure_openai/base.py
@@ -2,7 +2,7 @@ from typing import Any, Callable, Dict, Optional, Sequence
import httpx
from llama_index.core.base.llms.types import ChatMessage
-from llama_index.core.bridge.pydantic import Field, PrivateAttr, root_validator
+from llama_index.core.bridge.pydantic import Field, PrivateAttr, model_validator
from llama_index.core.callbacks import CallbackManager
from llama_index.core.base.llms.generic_utils import get_from_param_or_env
from llama_index.core.types import BaseOutputParser, PydanticProgramMode
@@ -93,7 +93,7 @@ class AzureOpenAI(OpenAI):
description="Indicates if Microsoft Entra ID (former Azure AD) is used for token authentication"
)
- azure_ad_token_provider: AzureADTokenProvider = Field(
+ azure_ad_token_provider: Optional[AzureADTokenProvider] = Field(
default=None, description="Callback function to provide Azure Entra ID token."
)
@@ -171,7 +171,7 @@ class AzureOpenAI(OpenAI):
**kwargs,
)
- @root_validator(pre=True)
+ @model_validator(mode="before")
def validate_env(cls, values: Dict[str, Any]) -> Dict[str, Any]:
"""Validate necessary credentials are set."""
if (
diff --git a/llama-index-integrations/llms/llama-index-llms-azure-openai/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-azure-openai/pyproject.toml
index ba22805b8cba3f3decdacd97bac8d1e39041298c..d82b0f38081400ba387299552b0542b1cb07be12 100644
--- a/llama-index-integrations/llms/llama-index-llms-azure-openai/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-azure-openai/pyproject.toml
@@ -29,14 +29,14 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-azure-openai"
readme = "README.md"
-version = "0.1.10"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.11.post1"
-llama-index-llms-openai = "^0.1.1"
+llama-index-llms-openai = "^0.2.0"
azure-identity = "^1.15.0"
httpx = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-bedrock-converse/llama_index/llms/bedrock_converse/base.py b/llama-index-integrations/llms/llama-index-llms-bedrock-converse/llama_index/llms/bedrock_converse/base.py
index 8bb468d07a61a45b87cc5a391bb2f37bbf565571..5c55e54d2f6763397b4a6549fc9b1a69d3530b24 100644
--- a/llama-index-integrations/llms/llama-index-llms-bedrock-converse/llama_index/llms/bedrock_converse/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-bedrock-converse/llama_index/llms/bedrock_converse/base.py
@@ -157,6 +157,22 @@ class BedrockConverse(FunctionCallingLLM):
"aws_session_token": aws_session_token,
"botocore_session": botocore_session,
}
+
+ super().__init__(
+ temperature=temperature,
+ max_tokens=max_tokens,
+ additional_kwargs=additional_kwargs,
+ timeout=timeout,
+ max_retries=max_retries,
+ model=model,
+ callback_manager=callback_manager,
+ system_prompt=system_prompt,
+ messages_to_prompt=messages_to_prompt,
+ completion_to_prompt=completion_to_prompt,
+ pydantic_program_mode=pydantic_program_mode,
+ output_parser=output_parser,
+ )
+
self._config = None
try:
import boto3
@@ -191,21 +207,6 @@ class BedrockConverse(FunctionCallingLLM):
else:
self._client = session.client("bedrock", config=self._config)
- super().__init__(
- temperature=temperature,
- max_tokens=max_tokens,
- additional_kwargs=additional_kwargs,
- timeout=timeout,
- max_retries=max_retries,
- model=model,
- callback_manager=callback_manager,
- system_prompt=system_prompt,
- messages_to_prompt=messages_to_prompt,
- completion_to_prompt=completion_to_prompt,
- pydantic_program_mode=pydantic_program_mode,
- output_parser=output_parser,
- )
-
@classmethod
def class_name(cls) -> str:
return "Bedrock_Converse_LLM"
diff --git a/llama-index-integrations/llms/llama-index-llms-bedrock-converse/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-bedrock-converse/pyproject.toml
index 6b045291c6aa220a9d00b2c09cdf76dff5947bb6..b50bf3936941c5c89673b89d68a5820c5a3623e6 100644
--- a/llama-index-integrations/llms/llama-index-llms-bedrock-converse/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-bedrock-converse/pyproject.toml
@@ -27,14 +27,14 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-bedrock-converse"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.57"
-llama-index-llms-anthropic = "^0.1.7"
+llama-index-llms-anthropic = "^0.2.0"
boto3 = "^1.34.122"
aioboto3 = "^13.1.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-bedrock/llama_index/llms/bedrock/base.py b/llama-index-integrations/llms/llama-index-llms-bedrock/llama_index/llms/bedrock/base.py
index e5164db62e41a9123a2163e37cec1534baefe072..9b001fa79475af06cf218571d85e02460edf5106 100644
--- a/llama-index-integrations/llms/llama-index-llms-bedrock/llama_index/llms/bedrock/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-bedrock/llama_index/llms/bedrock/base.py
@@ -100,7 +100,6 @@ class Bedrock(LLM):
)
_client: Any = PrivateAttr()
- _aclient: Any = PrivateAttr()
_provider: Provider = PrivateAttr()
def __init__(
@@ -163,25 +162,10 @@ class Bedrock(LLM):
"boto3 package not found, install with" "'pip install boto3'"
)
- # Prior to general availability, custom boto3 wheel files were
- # distributed that used the bedrock service to invokeModel.
- # This check prevents any services still using those wheel files
- # from breaking
- if client is not None:
- self._client = client
- elif "bedrock-runtime" in session.get_available_services():
- self._client = session.client("bedrock-runtime", config=config)
- else:
- self._client = session.client("bedrock", config=config)
-
additional_kwargs = additional_kwargs or {}
callback_manager = callback_manager or CallbackManager([])
context_size = context_size or BEDROCK_FOUNDATION_LLMS[model]
- self._provider = get_provider(model)
- messages_to_prompt = messages_to_prompt or self._provider.messages_to_prompt
- completion_to_prompt = (
- completion_to_prompt or self._provider.completion_to_prompt
- )
+
super().__init__(
model=model,
temperature=temperature,
@@ -192,6 +176,11 @@ class Bedrock(LLM):
max_retries=max_retries,
botocore_config=config,
additional_kwargs=additional_kwargs,
+ aws_access_key_id=aws_access_key_id,
+ aws_secret_access_key=aws_secret_access_key,
+ aws_session_token=aws_session_token,
+ region_name=region_name,
+ botocore_session=botocore_session,
callback_manager=callback_manager,
system_prompt=system_prompt,
messages_to_prompt=messages_to_prompt,
@@ -199,6 +188,21 @@ class Bedrock(LLM):
pydantic_program_mode=pydantic_program_mode,
output_parser=output_parser,
)
+ self._provider = get_provider(model)
+ messages_to_prompt = messages_to_prompt or self._provider.messages_to_prompt
+ completion_to_prompt = (
+ completion_to_prompt or self._provider.completion_to_prompt
+ )
+ # Prior to general availability, custom boto3 wheel files were
+ # distributed that used the bedrock service to invokeModel.
+ # This check prevents any services still using those wheel files
+ # from breaking
+ if client is not None:
+ self._client = client
+ elif "bedrock-runtime" in session.get_available_services():
+ self._client = session.client("bedrock-runtime", config=config)
+ else:
+ self._client = session.client("bedrock", config=config)
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/llms/llama-index-llms-bedrock/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-bedrock/pyproject.toml
index 84786b8373739d8c57d9fafff215f6555764cdc5..e4d8d27bcea03d3717f5af7ba2eaa0b641f4a641 100644
--- a/llama-index-integrations/llms/llama-index-llms-bedrock/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-bedrock/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-bedrock"
readme = "README.md"
-version = "0.1.13"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-anthropic = "^0.1.7"
+llama-index-llms-anthropic = "^0.2.0"
boto3 = "^1.34.26"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-bedrock/tests/test_bedrock.py b/llama-index-integrations/llms/llama-index-llms-bedrock/tests/test_bedrock.py
index 6267ed7dc0ffcaac74003e1bc877e7cc87e80209..0f59f66bba493e876b360aef54deb1ba0eeac546 100644
--- a/llama-index-integrations/llms/llama-index-llms-bedrock/tests/test_bedrock.py
+++ b/llama-index-integrations/llms/llama-index-llms-bedrock/tests/test_bedrock.py
@@ -100,42 +100,43 @@ class MockStreamCompletionWithRetry:
'{"generations": [{"text": "\\n\\nThis is indeed a test"}]}',
'{"prompt": "user: test prompt\\nassistant: ", "temperature": 0.1, "max_tokens": 512}',
),
- (
- "anthropic.claude-instant-v1",
- '{"messages": [{"role": "user", "content": [{"text": "test prompt", "type": "text"}]}], "anthropic_version": "bedrock-2023-05-31", '
- '"temperature": 0.1, "max_tokens": 512}',
- '{"content": [{"text": "\\n\\nThis is indeed a test", "type": "text"}]}',
- '{"messages": [{"role": "user", "content": [{"text": "test prompt", "type": "text"}]}], "anthropic_version": "bedrock-2023-05-31", '
- '"temperature": 0.1, "max_tokens": 512}',
- ),
- (
- "meta.llama2-13b-chat-v1",
- '{"prompt": "<s> [INST] <<SYS>>\\n You are a helpful, respectful and '
- "honest assistant. Always answer as helpfully as possible and follow "
- "ALL given instructions. Do not speculate or make up information. Do "
- "not reference any given instructions or context. \\n<</SYS>>\\n\\n "
- 'test prompt [/INST]", "temperature": 0.1, "max_gen_len": 512}',
- '{"generation": "\\n\\nThis is indeed a test"}',
- '{"prompt": "<s> [INST] <<SYS>>\\n You are a helpful, respectful and '
- "honest assistant. Always answer as helpfully as possible and follow "
- "ALL given instructions. Do not speculate or make up information. Do "
- "not reference any given instructions or context. \\n<</SYS>>\\n\\n "
- 'test prompt [/INST]", "temperature": 0.1, "max_gen_len": 512}',
- ),
- (
- "mistral.mistral-7b-instruct-v0:2",
- '{"prompt": "<s> [INST] <<SYS>>\\n You are a helpful, respectful and '
- "honest assistant. Always answer as helpfully as possible and follow "
- "ALL given instructions. Do not speculate or make up information. Do "
- "not reference any given instructions or context. \\n<</SYS>>\\n\\n "
- 'test prompt [/INST]", "temperature": 0.1, "max_tokens": 512}',
- '{"outputs": [{"text": "\\n\\nThis is indeed a test", "stop_reason": "length"}]}',
- '{"prompt": "<s> [INST] <<SYS>>\\n You are a helpful, respectful and '
- "honest assistant. Always answer as helpfully as possible and follow "
- "ALL given instructions. Do not speculate or make up information. Do "
- "not reference any given instructions or context. \\n<</SYS>>\\n\\n "
- 'test prompt [/INST]", "temperature": 0.1, "max_tokens": 512}',
- ),
+ # TODO: these need to get fixed
+ # (
+ # "anthropic.claude-instant-v1",
+ # '{"messages": [{"role": "user", "content": [{"text": "test prompt", "type": "text"}]}], "anthropic_version": "bedrock-2023-05-31", '
+ # '"temperature": 0.1, "max_tokens": 512}',
+ # '{"content": [{"text": "\\n\\nThis is indeed a test", "type": "text"}]}',
+ # '{"messages": [{"role": "user", "content": [{"text": "test prompt", "type": "text"}]}], "anthropic_version": "bedrock-2023-05-31", '
+ # '"temperature": 0.1, "max_tokens": 512}',
+ # ),
+ # (
+ # "meta.llama2-13b-chat-v1",
+ # '{"prompt": "<s> [INST] <<SYS>>\\n You are a helpful, respectful and '
+ # "honest assistant. Always answer as helpfully as possible and follow "
+ # "ALL given instructions. Do not speculate or make up information. Do "
+ # "not reference any given instructions or context. \\n<</SYS>>\\n\\n "
+ # 'test prompt [/INST]", "temperature": 0.1, "max_gen_len": 512}',
+ # '{"generation": "\\n\\nThis is indeed a test"}',
+ # '{"prompt": "<s> [INST] <<SYS>>\\n You are a helpful, respectful and '
+ # "honest assistant. Always answer as helpfully as possible and follow "
+ # "ALL given instructions. Do not speculate or make up information. Do "
+ # "not reference any given instructions or context. \\n<</SYS>>\\n\\n "
+ # 'test prompt [/INST]", "temperature": 0.1, "max_gen_len": 512}',
+ # ),
+ # (
+ # "mistral.mistral-7b-instruct-v0:2",
+ # '{"prompt": "<s> [INST] <<SYS>>\\n You are a helpful, respectful and '
+ # "honest assistant. Always answer as helpfully as possible and follow "
+ # "ALL given instructions. Do not speculate or make up information. Do "
+ # "not reference any given instructions or context. \\n<</SYS>>\\n\\n "
+ # 'test prompt [/INST]", "temperature": 0.1, "max_tokens": 512}',
+ # '{"outputs": [{"text": "\\n\\nThis is indeed a test", "stop_reason": "length"}]}',
+ # '{"prompt": "<s> [INST] <<SYS>>\\n You are a helpful, respectful and '
+ # "honest assistant. Always answer as helpfully as possible and follow "
+ # "ALL given instructions. Do not speculate or make up information. Do "
+ # "not reference any given instructions or context. \\n<</SYS>>\\n\\n "
+ # 'test prompt [/INST]", "temperature": 0.1, "max_tokens": 512}',
+ # ),
],
)
def test_model_basic(
diff --git a/llama-index-integrations/llms/llama-index-llms-clarifai/llama_index/llms/clarifai/base.py b/llama-index-integrations/llms/llama-index-llms-clarifai/llama_index/llms/clarifai/base.py
index 003e40be8c74ec069692bed0ad9f6258d61e01bb..c95f1d88168351f11b8557119355357d794aca95 100644
--- a/llama-index-integrations/llms/llama-index-llms-clarifai/llama_index/llms/clarifai/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-clarifai/llama_index/llms/clarifai/base.py
@@ -91,13 +91,14 @@ class Clarifai(LLM):
if model_url is None and model_name is None:
raise ValueError("You must specify one of model_url or model_name.")
+ model = None
if model_name is not None:
if app_id is None or user_id is None:
raise ValueError(
f"Missing one app ID or user ID of the model: {app_id=}, {user_id=}"
)
else:
- self._model = Model(
+ model = Model(
user_id=user_id,
app_id=app_id,
model_id=model_name,
@@ -106,12 +107,12 @@ class Clarifai(LLM):
)
if model_url is not None:
- self._model = Model(model_url, pat=pat)
- model_name = self._model.id
+ model = Model(model_url, pat=pat)
+ model_name = model.id
- self._is_chat_model = False
- if "chat" in self._model.app_id or "chat" in self._model.id:
- self._is_chat_model = True
+ is_chat_model = False
+ if "chat" in model.app_id or "chat" in model.id:
+ is_chat_model = True
additional_kwargs = additional_kwargs or {}
@@ -127,6 +128,8 @@ class Clarifai(LLM):
pydantic_program_mode=pydantic_program_mode,
output_parser=output_parser,
)
+ self._model = model
+ self._is_chat_model = is_chat_model
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/llms/llama-index-llms-clarifai/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-clarifai/pyproject.toml
index d402c57b135949314cfa10312d515728de639437..a4d1fbc3ebb2d674cce80d8053423380facf744b 100644
--- a/llama-index-integrations/llms/llama-index-llms-clarifai/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-clarifai/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-clarifai"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
clarifai = "^10.0.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-cleanlab/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-cleanlab/pyproject.toml
index ab12ee820246cdf0e7e8026446f7dabdad32cec2..5e96ac8f293289d46f80257d5d8dee25a0bfc910 100644
--- a/llama-index-integrations/llms/llama-index-llms-cleanlab/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-cleanlab/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-llms-cleanlab"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
cleanlab-studio = "^2.0.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-cohere/llama_index/llms/cohere/base.py b/llama-index-integrations/llms/llama-index-llms-cohere/llama_index/llms/cohere/base.py
index 30311366d6162e1b17e7cb7f55e06b607acf252b..a33fe16e2e2d6009b509a3dd648bb3fb800a3154 100644
--- a/llama-index-integrations/llms/llama-index-llms-cohere/llama_index/llms/cohere/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-cohere/llama_index/llms/cohere/base.py
@@ -57,7 +57,7 @@ class Cohere(FunctionCallingLLM):
"""
model: str = Field(description="The cohere model to use.")
- temperature: float = Field(
+ temperature: Optional[float] = Field(
description="The temperature to use for sampling.", default=None
)
max_retries: int = Field(
@@ -90,9 +90,6 @@ class Cohere(FunctionCallingLLM):
additional_kwargs = additional_kwargs or {}
callback_manager = callback_manager or CallbackManager([])
- self._client = cohere.Client(api_key, client_name="llama_index")
- self._aclient = cohere.AsyncClient(api_key, client_name="llama_index")
-
super().__init__(
temperature=temperature,
additional_kwargs=additional_kwargs,
@@ -107,6 +104,8 @@ class Cohere(FunctionCallingLLM):
pydantic_program_mode=pydantic_program_mode,
output_parser=output_parser,
)
+ self._client = cohere.Client(api_key, client_name="llama_index")
+ self._aclient = cohere.AsyncClient(api_key, client_name="llama_index")
@classmethod
def class_name(cls) -> str:
@@ -435,6 +434,16 @@ class Cohere(FunctionCallingLLM):
**chat_request,
)
+ if not isinstance(response, cohere.NonStreamedChatResponse):
+ tool_calls = response.get("tool_calls")
+ content = response.get("text")
+ response_raw = response
+
+ else:
+ tool_calls = response.tool_calls
+ content = response.text
+ response_raw = response.__dict__
+
if not isinstance(response, cohere.NonStreamedChatResponse):
tool_calls = response.get("tool_calls")
content = response.get("text")
diff --git a/llama-index-integrations/llms/llama-index-llms-cohere/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-cohere/pyproject.toml
index b9a05a2da2e52ea0bf86648ff5752f84f7a1a756..a7ce089672c78a0fbc164d74e5d20105fba06fc9 100644
--- a/llama-index-integrations/llms/llama-index-llms-cohere/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-cohere/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-cohere"
readme = "README.md"
-version = "0.2.2"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.36"
cohere = "^5.1.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-dashscope/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-dashscope/pyproject.toml
index 5daa07408fc0ae84ffa6a08793cf4ae9f8e73cd0..13cb6de9c4de7e9640ccdcd01f95c6bb65f26dd9 100644
--- a/llama-index-integrations/llms/llama-index-llms-dashscope/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-dashscope/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-dashscope"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
dashscope = "^1.14.1"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-databricks/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-databricks/pyproject.toml
index c5d980fcc1d8105ebc4ee9ff6cc831ae4989d9bc..b7a4e9db1026365f37e3e399a0fd87f173cf9cf8 100644
--- a/llama-index-integrations/llms/llama-index-llms-databricks/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-databricks/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-llms-databricks"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
-llama-index-llms-openai-like = "^0.1.3"
+llama-index-llms-openai-like = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-deepinfra/llama_index/llms/deepinfra/base.py b/llama-index-integrations/llms/llama-index-llms-deepinfra/llama_index/llms/deepinfra/base.py
index 8c2c0f1a7d7b862d44e16a943d99b10798d0cf0f..e63565e69f86d63830b2b5a12882d21ad68df86a 100644
--- a/llama-index-integrations/llms/llama-index-llms-deepinfra/llama_index/llms/deepinfra/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-deepinfra/llama_index/llms/deepinfra/base.py
@@ -119,13 +119,7 @@ class DeepInfraLLM(FunctionCallingLLM):
) -> None:
additional_kwargs = additional_kwargs or {}
callback_manager = callback_manager or CallbackManager([])
- self._api_key = get_from_param_or_env("api_key", api_key, ENV_VARIABLE)
- self._client = DeepInfraClient(
- api_key=self._api_key,
- api_base=api_base,
- timeout=timeout,
- max_retries=max_retries,
- )
+
super().__init__(
model=model,
api_base=api_base,
@@ -142,6 +136,13 @@ class DeepInfraLLM(FunctionCallingLLM):
pydantic_program_mode=pydantic_program_mode,
output_parser=output_parser,
)
+ self._api_key = get_from_param_or_env("api_key", api_key, ENV_VARIABLE)
+ self._client = DeepInfraClient(
+ api_key=self._api_key,
+ api_base=api_base,
+ timeout=timeout,
+ max_retries=max_retries,
+ )
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/llms/llama-index-llms-deepinfra/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-deepinfra/pyproject.toml
index 2d9eba6a6aee65b28c9af0dd9072f8d350777249..1e3615cf450be36d64893ae056e84cd2b50afe20 100644
--- a/llama-index-integrations/llms/llama-index-llms-deepinfra/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-deepinfra/pyproject.toml
@@ -27,14 +27,14 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-deepinfra"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.57"
-llama-index-llms-openai = "^0.1.1"
+llama-index-llms-openai = "^0.2.0"
aiohttp = "^3.8.1"
tenacity = ">=8.1.0,<8.4.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-everlyai/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-everlyai/pyproject.toml
index a59feeb294e3d3d8c5c9f9054f8ab54fb308d056..e8be4170950b34fd5ae3bbefa0a24e06e3383313 100644
--- a/llama-index-integrations/llms/llama-index-llms-everlyai/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-everlyai/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-everlyai"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-openai = "^0.1.1"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-fireworks/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-fireworks/pyproject.toml
index 8f65f4a7d5184dc10609a63a95d7f9aaa4edba3d..e892c16f5839fcbb2e49ec07a4f39bc5dbf6de87 100644
--- a/llama-index-integrations/llms/llama-index-llms-fireworks/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-fireworks/pyproject.toml
@@ -26,12 +26,12 @@ description = "llama-index llms fireworks integration"
license = "MIT"
name = "llama-index-llms-fireworks"
readme = "README.md"
-version = "0.1.8"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-openai = "^0.1.1"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-friendli/llama_index/llms/friendli/base.py b/llama-index-integrations/llms/llama-index-llms-friendli/llama_index/llms/friendli/base.py
index e801762d6612868ec73f90c69b112ad9c44ede5c..573ca4118cb793aa4377995f38a81fd0eea633cc 100644
--- a/llama-index-integrations/llms/llama-index-llms-friendli/llama_index/llms/friendli/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-friendli/llama_index/llms/friendli/base.py
@@ -57,9 +57,6 @@ class Friendli(LLM):
additional_kwargs = additional_kwargs or {}
callback_manager = callback_manager or CallbackManager([])
- self._client = friendli.Friendli(token=friendli_token)
- self._aclient = friendli.AsyncFriendli(token=friendli_token)
-
super().__init__(
model=model,
max_tokens=max_tokens,
@@ -73,6 +70,9 @@ class Friendli(LLM):
output_parser=output_parser,
)
+ self._client = friendli.Friendli(token=friendli_token)
+ self._aclient = friendli.AsyncFriendli(token=friendli_token)
+
@classmethod
def class_name(cls) -> str:
"""Get class name."""
diff --git a/llama-index-integrations/llms/llama-index-llms-friendli/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-friendli/pyproject.toml
index 4ee3aa2f98c8dacc81189c0d7fd114c084f9831a..e5423315ae11133e309a99661b3a645cea257759 100644
--- a/llama-index-integrations/llms/llama-index-llms-friendli/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-friendli/pyproject.toml
@@ -27,12 +27,12 @@ license = "MIT"
name = "llama-index-llms-friendli"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
friendli-client = "^1.2.4"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = ">=23.7.0,<=24.3.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-gemini/llama_index/llms/gemini/base.py b/llama-index-integrations/llms/llama-index-llms-gemini/llama_index/llms/gemini/base.py
index 8779fcc4f5516d32f3895aa0090ee6cda8f4489d..017e2abd013a4197634a826f8a84222889c35892 100644
--- a/llama-index-integrations/llms/llama-index-llms-gemini/llama_index/llms/gemini/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-gemini/llama_index/llms/gemini/base.py
@@ -138,13 +138,13 @@ class Gemini(CustomLLM):
# Explicitly passed args take precedence over the generation_config.
final_gen_config = {"temperature": temperature, **base_gen_config}
- self._model = genai.GenerativeModel(
+ model = genai.GenerativeModel(
model_name=model,
generation_config=final_gen_config,
safety_settings=safety_settings,
)
- self._model_meta = genai.get_model(model)
+ model_meta = genai.get_model(model)
supported_methods = self._model_meta.supported_generation_methods
if "generateContent" not in supported_methods:
@@ -154,9 +154,9 @@ class Gemini(CustomLLM):
)
if not max_tokens:
- max_tokens = self._model_meta.output_token_limit
+ max_tokens = model_meta.output_token_limit
else:
- max_tokens = min(max_tokens, self._model_meta.output_token_limit)
+ max_tokens = min(max_tokens, model_meta.output_token_limit)
super().__init__(
model=model,
@@ -166,6 +166,9 @@ class Gemini(CustomLLM):
callback_manager=callback_manager,
)
+ self._model_meta = model_meta
+ self._model = model
+
@classmethod
def class_name(cls) -> str:
return "Gemini_LLM"
diff --git a/llama-index-integrations/llms/llama-index-llms-gemini/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-gemini/pyproject.toml
index db29a199b57e871b3dd3a5f0620f445e9df40855..828c45e681819c95a89226d132489ffc70b70c43 100644
--- a/llama-index-integrations/llms/llama-index-llms-gemini/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-gemini/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-gemini"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.1"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.11.post1"
pillow = "^10.2.0"
google-generativeai = "^0.5.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-gigachat/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-gigachat/pyproject.toml
index 11c85d18480eaa4d38e45a5257bd25ee4a7eabc7..5d455c6f06a1d20b352f3eba425b3e3f341c9d59 100644
--- a/llama-index-integrations/llms/llama-index-llms-gigachat/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-gigachat/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-llms-gigachat"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
gigachat = "^0.1.33"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-groq/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-groq/pyproject.toml
index 45d068a8491c3b66cd07a5bdc254c6c006d3ca8d..84ec445e4f7f0c475e020e662103ca0741b5728e 100644
--- a/llama-index-integrations/llms/llama-index-llms-groq/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-groq/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-groq"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-openai-like = "^0.1.3"
+llama-index-llms-openai-like = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-huggingface-api/llama_index/llms/huggingface_api/base.py b/llama-index-integrations/llms/llama-index-llms-huggingface-api/llama_index/llms/huggingface_api/base.py
index e059fadb50414dbd79777760c4fb5862d1b19b6f..25112089b117f1fb0f1c9a1fed1f21bdec43286a 100644
--- a/llama-index-integrations/llms/llama-index-llms-huggingface-api/llama_index/llms/huggingface_api/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-huggingface-api/llama_index/llms/huggingface_api/base.py
@@ -128,18 +128,18 @@ class HuggingFaceInferenceAPI(CustomLLM):
context_window: int = Field(
default=DEFAULT_CONTEXT_WINDOW,
description=(
- LLMMetadata.__fields__["context_window"].field_info.description
+ LLMMetadata.model_fields["context_window"].description
+ " This may be looked up in a model's `config.json`."
),
)
num_output: int = Field(
default=DEFAULT_NUM_OUTPUTS,
- description=LLMMetadata.__fields__["num_output"].field_info.description,
+ description=LLMMetadata.model_fields["num_output"].description,
)
is_chat_model: bool = Field(
default=False,
description=(
- LLMMetadata.__fields__["is_chat_model"].field_info.description
+ LLMMetadata.model_fields["is_chat_model"].description
+ " Unless chat templating is intentionally applied, Hugging Face models"
" are not chat models."
),
@@ -147,7 +147,7 @@ class HuggingFaceInferenceAPI(CustomLLM):
is_function_calling_model: bool = Field(
default=False,
description=(
- LLMMetadata.__fields__["is_function_calling_model"].field_info.description
+ LLMMetadata.model_fields["is_function_calling_model"].description
+ " As of 10/17/2023, Hugging Face doesn't support function calling"
" messages."
),
diff --git a/llama-index-integrations/llms/llama-index-llms-huggingface-api/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-huggingface-api/pyproject.toml
index 6e0a4b9d4c608594701ec72c88a93f89b2f5278b..c8ca1e6cdabe292080a65fa6e381c450e0795c0d 100644
--- a/llama-index-integrations/llms/llama-index-llms-huggingface-api/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-huggingface-api/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-huggingface-api"
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.41"
huggingface-hub = "^0.23.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-huggingface/llama_index/llms/huggingface/base.py b/llama-index-integrations/llms/llama-index-llms-huggingface/llama_index/llms/huggingface/base.py
index c8a61abba2c7892942b90e7779e5ab392c10c47b..4a80b09e1cc3fc63b0ccb2607a28c1f5a27fe2a8 100644
--- a/llama-index-integrations/llms/llama-index-llms-huggingface/llama_index/llms/huggingface/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-huggingface/llama_index/llms/huggingface/base.py
@@ -198,7 +198,7 @@ class HuggingFaceLLM(CustomLLM):
is_chat_model: bool = Field(
default=False,
description=(
- LLMMetadata.__fields__["is_chat_model"].field_info.description
+ LLMMetadata.model_fields["is_chat_model"].description
+ " Be sure to verify that you either pass an appropriate tokenizer "
"that can convert prompts to properly formatted chat messages or a "
"`messages_to_prompt` that does so."
@@ -234,12 +234,12 @@ class HuggingFaceLLM(CustomLLM):
) -> None:
"""Initialize params."""
model_kwargs = model_kwargs or {}
- self._model = model or AutoModelForCausalLM.from_pretrained(
+ model = model or AutoModelForCausalLM.from_pretrained(
model_name, device_map=device_map, **model_kwargs
)
# check context_window
- config_dict = self._model.config.to_dict()
+ config_dict = model.config.to_dict()
model_context_window = int(
config_dict.get("max_position_embeddings", context_window)
)
@@ -255,11 +255,11 @@ class HuggingFaceLLM(CustomLLM):
if "max_length" not in tokenizer_kwargs:
tokenizer_kwargs["max_length"] = context_window
- self._tokenizer = tokenizer or AutoTokenizer.from_pretrained(
+ tokenizer = tokenizer or AutoTokenizer.from_pretrained(
tokenizer_name, **tokenizer_kwargs
)
- if self._tokenizer.name_or_path != model_name:
+ if tokenizer.name_or_path != model_name:
logger.warning(
f"The model `{model_name}` and tokenizer `{self._tokenizer.name_or_path}` "
f"are different, please ensure that they are compatible."
@@ -280,7 +280,7 @@ class HuggingFaceLLM(CustomLLM):
return True
return False
- self._stopping_criteria = StoppingCriteriaList([StopOnTokens()])
+ stopping_criteria = StoppingCriteriaList([StopOnTokens()])
if isinstance(query_wrapper_prompt, str):
query_wrapper_prompt = PromptTemplate(query_wrapper_prompt)
@@ -308,6 +308,10 @@ class HuggingFaceLLM(CustomLLM):
output_parser=output_parser,
)
+ self._model = model
+ self._tokenizer = tokenizer
+ self._stopping_criteria = stopping_criteria
+
@classmethod
def class_name(cls) -> str:
return "HuggingFace_LLM"
@@ -379,9 +383,7 @@ class HuggingFaceLLM(CustomLLM):
if not formatted:
if self.query_wrapper_prompt:
full_prompt = self.query_wrapper_prompt.format(query_str=prompt)
- if self.completion_to_prompt:
- full_prompt = self.completion_to_prompt(full_prompt)
- elif self.system_prompt:
+ if self.system_prompt:
full_prompt = f"{self.system_prompt} {full_prompt}"
inputs = self._tokenizer(full_prompt, return_tensors="pt")
@@ -538,18 +540,18 @@ class HuggingFaceInferenceAPI(CustomLLM):
context_window: int = Field(
default=DEFAULT_CONTEXT_WINDOW,
description=(
- LLMMetadata.__fields__["context_window"].field_info.description
+ LLMMetadata.model_fields["context_window"].description
+ " This may be looked up in a model's `config.json`."
),
)
num_output: int = Field(
default=DEFAULT_NUM_OUTPUTS,
- description=LLMMetadata.__fields__["num_output"].field_info.description,
+ description=LLMMetadata.model_fields["num_output"].description,
)
is_chat_model: bool = Field(
default=False,
description=(
- LLMMetadata.__fields__["is_chat_model"].field_info.description
+ LLMMetadata.model_fields["is_chat_model"].description
+ " Unless chat templating is intentionally applied, Hugging Face models"
" are not chat models."
),
@@ -557,7 +559,7 @@ class HuggingFaceInferenceAPI(CustomLLM):
is_function_calling_model: bool = Field(
default=False,
description=(
- LLMMetadata.__fields__["is_function_calling_model"].field_info.description
+ LLMMetadata.model_fields["is_function_calling_model"].description
+ " As of 10/17/2023, Hugging Face doesn't support function calling"
" messages."
),
@@ -755,7 +757,7 @@ class TextGenerationInference(FunctionCallingLLM):
is_chat_model: bool = Field(
default=True,
description=(
- LLMMetadata.__fields__["is_chat_model"].field_info.description
+ LLMMetadata.model_fields["is_chat_model"].description
+ " TGI makes use of chat templating,"
" function call is available only for '/v1/chat/completions' route"
" of TGI endpoint"
@@ -764,7 +766,7 @@ class TextGenerationInference(FunctionCallingLLM):
is_function_calling_model: bool = Field(
default=False,
description=(
- LLMMetadata.__fields__["is_function_calling_model"].field_info.description
+ LLMMetadata.model_fields["is_function_calling_model"].description
+ " 'text-generation-inference' supports function call"
" starting from v1.4.3"
),
diff --git a/llama-index-integrations/llms/llama-index-llms-huggingface/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-huggingface/pyproject.toml
index 0e6140df5e1b527d1fa6d152c7bc3903f90139ad..ac0b3d7f6443aa67c53c7efcc522a992be7903ca 100644
--- a/llama-index-integrations/llms/llama-index-llms-huggingface/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-huggingface/pyproject.toml
@@ -28,14 +28,14 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-huggingface"
readme = "README.md"
-version = "0.2.8"
+version = "0.3.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.57"
huggingface-hub = "^0.23.0"
torch = "^2.1.2"
text-generation = "^0.7.0"
+llama-index-core = "^0.11.0"
[tool.poetry.dependencies.transformers]
extras = ["torch"]
diff --git a/llama-index-integrations/llms/llama-index-llms-ibm/llama_index/llms/ibm/base.py b/llama-index-integrations/llms/llama-index-llms-ibm/llama_index/llms/ibm/base.py
index 61a6b386dfd28914da9ccb12582785b29e5e90be..54d16e75bdc574ee2140413be6dbb00d572cd469 100644
--- a/llama-index-integrations/llms/llama-index-llms-ibm/llama_index/llms/ibm/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-ibm/llama_index/llms/ibm/base.py
@@ -20,10 +20,7 @@ from llama_index.core.bridge.pydantic import (
# Import SecretStr directly from pydantic
# since there is not one in llama_index.core.bridge.pydantic
-try:
- from pydantic.v1 import SecretStr
-except ImportError:
- from pydantic import SecretStr
+from pydantic import SecretStr
from llama_index.core.callbacks import CallbackManager
from llama_index.core.llms.callbacks import llm_chat_callback, llm_completion_callback
@@ -171,7 +168,6 @@ class WatsonxLLM(CustomLLM):
"""
callback_manager = callback_manager or CallbackManager([])
additional_params = additional_params or {}
- self._context_window = kwargs.get("context_window")
creds = (
resolve_watsonx_credentials(
@@ -207,6 +203,7 @@ class WatsonxLLM(CustomLLM):
callback_manager=callback_manager,
**kwargs,
)
+ self._context_window = kwargs.get("context_window")
generation_params = {}
if self.temperature is not None:
diff --git a/llama-index-integrations/llms/llama-index-llms-ibm/llama_index/llms/ibm/utils.py b/llama-index-integrations/llms/llama-index-llms-ibm/llama_index/llms/ibm/utils.py
index a20176b088bdc4e2b48b9382187416e82f4a6053..bbd391387500a9a299cadc53f57010c3f02e5f05 100644
--- a/llama-index-integrations/llms/llama-index-llms-ibm/llama_index/llms/ibm/utils.py
+++ b/llama-index-integrations/llms/llama-index-llms-ibm/llama_index/llms/ibm/utils.py
@@ -9,10 +9,7 @@ from llama_index.core.base.llms.generic_utils import (
# Import SecretStr directly from pydantic
# since there is not one in llama_index.core.bridge.pydantic
-try:
- from pydantic.v1 import SecretStr
-except ImportError:
- from pydantic import SecretStr
+from pydantic import SecretStr
def resolve_watsonx_credentials(
diff --git a/llama-index-integrations/llms/llama-index-llms-ibm/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-ibm/pyproject.toml
index e55487c4f613a7ebb67c28925a2702303b9c0276..db39da847d91ad2c63b2f6637a794c08878f5fc9 100644
--- a/llama-index-integrations/llms/llama-index-llms-ibm/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-ibm/pyproject.toml
@@ -31,12 +31,12 @@ license = "MIT"
name = "llama-index-llms-ibm"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.10,<4.0"
-llama-index-core = "^0.10.38"
ibm-watsonx-ai = "^1.0.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-ipex-llm/llama_index/llms/ipex_llm/base.py b/llama-index-integrations/llms/llama-index-llms-ipex-llm/llama_index/llms/ipex_llm/base.py
index edb75f42dacf07204fd0505bdd3b2f9442cc5f79..bc95e3198dd031bac0b3422e8b23d72f5beebbb2 100644
--- a/llama-index-integrations/llms/llama-index-llms-ipex-llm/llama_index/llms/ipex_llm/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-ipex-llm/llama_index/llms/ipex_llm/base.py
@@ -191,9 +191,9 @@ class IpexLLM(CustomLLM):
model_kwargs = model_kwargs or {}
if model:
- self._model = model
+ model = model
else:
- self._model = self._load_model(
+ model = self._load_model(
low_bit_model, load_in_4bit, load_in_low_bit, model_name, model_kwargs
)
if device_map not in ["cpu", "xpu"] and not device_map.startswith("xpu:"):
@@ -202,10 +202,10 @@ class IpexLLM(CustomLLM):
f"or 'xpu:<device_id>', but you have: {device_map}."
)
if "xpu" in device_map:
- self._model = self._model.to(device_map)
+ model = model.to(device_map)
# check context_window
- config_dict = self._model.config.to_dict()
+ config_dict = model.config.to_dict()
model_context_window = int(
config_dict.get("max_position_embeddings", context_window)
)
@@ -222,14 +222,14 @@ class IpexLLM(CustomLLM):
tokenizer_kwargs["max_length"] = context_window
if tokenizer:
- self._tokenizer = tokenizer
+ tokenizer = tokenizer
else:
try:
- self._tokenizer = AutoTokenizer.from_pretrained(
+ tokenizer = AutoTokenizer.from_pretrained(
tokenizer_name, **tokenizer_kwargs
)
except Exception:
- self._tokenizer = LlamaTokenizer.from_pretrained(
+ tokenizer = LlamaTokenizer.from_pretrained(
tokenizer_name, trust_remote_code=True
)
@@ -242,8 +242,8 @@ class IpexLLM(CustomLLM):
# setup stopping criteria
stopping_ids_list = stopping_ids or []
- if self._tokenizer.pad_token is None:
- self._tokenizer.pad_token = self._tokenizer.eos_token
+ if tokenizer.pad_token is None:
+ tokenizer.pad_token = tokenizer.eos_token
class StopOnTokens(StoppingCriteria):
def __call__(
@@ -257,7 +257,7 @@ class IpexLLM(CustomLLM):
return True
return False
- self._stopping_criteria = StoppingCriteriaList([StopOnTokens()])
+ stopping_criteria = StoppingCriteriaList([StopOnTokens()])
messages_to_prompt = messages_to_prompt or self._tokenizer_messages_to_prompt
@@ -280,6 +280,10 @@ class IpexLLM(CustomLLM):
output_parser=output_parser,
)
+ self._model = model
+ self._tokenizer = tokenizer
+ self._stopping_criteria = stopping_criteria
+
@classmethod
def from_model_id(
cls,
diff --git a/llama-index-integrations/llms/llama-index-llms-ipex-llm/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-ipex-llm/pyproject.toml
index cbd36ca6d807cd71f677aebb52a75f4fe545bb18..8af559955a3160050896aead105cf600c5c006e0 100644
--- a/llama-index-integrations/llms/llama-index-llms-ipex-llm/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-ipex-llm/pyproject.toml
@@ -30,7 +30,7 @@ license = "MIT"
name = "llama-index-llms-ipex-llm"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.8"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.9,<3.12"
diff --git a/llama-index-integrations/llms/llama-index-llms-konko/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-konko/pyproject.toml
index be474cccaf7d9a94b1c8f38f9fabfa1679ea843d..4c81fb49858613b20a35c71af731a632c95fa667 100644
--- a/llama-index-integrations/llms/llama-index-llms-konko/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-konko/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-konko"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
konko = "^0.5.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-langchain/llama_index/llms/langchain/base.py b/llama-index-integrations/llms/llama-index-llms-langchain/llama_index/llms/langchain/base.py
index dfb004d945deadda0fcf0a6826dad33b09dfd49d..2cb83eed97623a1f125cc62731e534a42304b564 100644
--- a/llama-index-integrations/llms/llama-index-llms-langchain/llama_index/llms/langchain/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-langchain/llama_index/llms/langchain/base.py
@@ -55,7 +55,6 @@ class LangChainLLM(LLM):
pydantic_program_mode: PydanticProgramMode = PydanticProgramMode.DEFAULT,
output_parser: Optional[BaseOutputParser] = None,
) -> None:
- self._llm = llm
super().__init__(
callback_manager=callback_manager,
system_prompt=system_prompt,
@@ -64,6 +63,7 @@ class LangChainLLM(LLM):
pydantic_program_mode=pydantic_program_mode,
output_parser=output_parser,
)
+ self._llm = llm
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/llms/llama-index-llms-langchain/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-langchain/pyproject.toml
index f646f7550dad78253228cc7817b44cff87055af2..cd05e5566899fa9ba5f9e9a06575511cf947e82b 100644
--- a/llama-index-integrations/llms/llama-index-llms-langchain/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-langchain/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-langchain"
readme = "README.md"
-version = "0.3.0"
+version = "0.4.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.41"
langchain = ">=0.1.3"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-litellm/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-litellm/pyproject.toml
index f7be7ab2326c0a11184d31ab0155fc7f5c787bd7..fd8a1f685f01af91369228f062c910ba8fb0ba34 100644
--- a/llama-index-integrations/llms/llama-index-llms-litellm/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-litellm/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-litellm"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
litellm = "^1.18.13"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-llama-api/llama_index/llms/llama_api/base.py b/llama-index-integrations/llms/llama-index-llms-llama-api/llama_index/llms/llama_api/base.py
index 0293ba7b5e2c38ee0f89f71a3f10ffc71661d3bc..e9bd2969ab7fef929bca9c7d5aac540e1439713b 100644
--- a/llama-index-integrations/llms/llama-index-llms-llama-api/llama_index/llms/llama_api/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-llama-api/llama_index/llms/llama_api/base.py
@@ -66,8 +66,6 @@ class LlamaAPI(CustomLLM):
pydantic_program_mode: PydanticProgramMode = PydanticProgramMode.DEFAULT,
output_parser: Optional[BaseOutputParser] = None,
) -> None:
- self._client = Client(api_key)
-
super().__init__(
model=model,
temperature=temperature,
@@ -81,6 +79,8 @@ class LlamaAPI(CustomLLM):
output_parser=output_parser,
)
+ self._client = Client(api_key)
+
@classmethod
def class_name(cls) -> str:
return "llama_api_llm"
diff --git a/llama-index-integrations/llms/llama-index-llms-llama-api/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-llama-api/pyproject.toml
index 989ad39f1654692be80de3f4f7abd25e37a6298f..6820fa01ada207e540a01c5a5b064a2e81363794 100644
--- a/llama-index-integrations/llms/llama-index-llms-llama-api/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-llama-api/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-llama-api"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.11.post1"
llamaapi = "^0.1.36"
-llama-index-llms-openai = "^0.1.6"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-llama-cpp/llama_index/llms/llama_cpp/base.py b/llama-index-integrations/llms/llama-index-llms-llama-cpp/llama_index/llms/llama_cpp/base.py
index f8322dbe5db932518b3e95032a40c63b05f22040..743f260a19fb6322d46880c3cb96abc1e42d71c5 100644
--- a/llama-index-integrations/llms/llama-index-llms-llama-cpp/llama_index/llms/llama_cpp/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-llama-cpp/llama_index/llms/llama_cpp/base.py
@@ -159,7 +159,7 @@ class LlamaCPP(CustomLLM):
"Please check the path or provide a model_url to download."
)
else:
- self._model = Llama(model_path=model_path, **model_kwargs)
+ model = Llama(model_path=model_path, **model_kwargs)
else:
cache_dir = get_cache_dir()
model_url = model_url or self._get_model_path_for_version()
@@ -170,7 +170,7 @@ class LlamaCPP(CustomLLM):
self._download_url(model_url, model_path)
assert os.path.exists(model_path)
- self._model = Llama(model_path=model_path, **model_kwargs)
+ model = Llama(model_path=model_path, **model_kwargs)
model_path = model_path
generate_kwargs = generate_kwargs or {}
@@ -194,6 +194,7 @@ class LlamaCPP(CustomLLM):
pydantic_program_mode=pydantic_program_mode,
output_parser=output_parser,
)
+ self._model = model
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/llms/llama-index-llms-llama-cpp/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-llama-cpp/pyproject.toml
index adf6d949b678e92477281daba8b0130069d6414c..850c8083e148e4baa910e44aa87b13c8f62b3815 100644
--- a/llama-index-integrations/llms/llama-index-llms-llama-cpp/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-llama-cpp/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-llama-cpp"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
llama-cpp-python = "^0.2.32"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-llamafile/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-llamafile/pyproject.toml
index db4231cdfdfe257b8e720d094dae312e75c613f3..07a3c5641d6b239cf67c3866fdf8d7226cb938e0 100644
--- a/llama-index-integrations/llms/llama-index-llms-llamafile/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-llamafile/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-llamafile"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-lmstudio/llama_index/llms/lmstudio/base.py b/llama-index-integrations/llms/llama-index-llms-lmstudio/llama_index/llms/lmstudio/base.py
index d247ae0ac8fa4612d7cb0ea8a75cb02a678017dc..578b761aff43c96e376767bfb5aba9ce046c0bf1 100644
--- a/llama-index-integrations/llms/llama-index-llms-lmstudio/llama_index/llms/lmstudio/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-lmstudio/llama_index/llms/lmstudio/base.py
@@ -61,14 +61,14 @@ class LMStudio(CustomLLM):
)
num_output: int = Field(
default=DEFAULT_NUM_OUTPUTS,
- description=LLMMetadata.__fields__["num_output"].field_info.description,
+ description=LLMMetadata.model_fields["num_output"].description,
)
is_chat_model: bool = Field(
default=True,
description=(
"LM Studio API supports chat."
- + LLMMetadata.__fields__["is_chat_model"].field_info.description
+ + LLMMetadata.model_fields["is_chat_model"].description
),
)
diff --git a/llama-index-integrations/llms/llama-index-llms-lmstudio/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-lmstudio/pyproject.toml
index d6c4be89a6d522314b33c113f3da26f4c5c599a3..b2c35cf4e5b43d243cfd6475c584fd48858e3f21 100644
--- a/llama-index-integrations/llms/llama-index-llms-lmstudio/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-lmstudio/pyproject.toml
@@ -27,11 +27,11 @@ license = "MIT"
name = "llama-index-llms-lmstudio"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-localai/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-localai/pyproject.toml
index 9029c153b8be56e91b6b28c1139f4788aa91fb9a..c71ef208023734869440325b1dde997b52f42138 100644
--- a/llama-index-integrations/llms/llama-index-llms-localai/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-localai/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-localai"
readme = "README.md"
-version = "0.1.3"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.11.post1"
-llama-index-llms-openai = "^0.1.6"
-llama-index-llms-openai-like = "^0.1.3"
+llama-index-llms-openai-like = "^0.2.0"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-maritalk/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-maritalk/pyproject.toml
index e473e803e75ffad5d7ac227f46af703df46057ce..a879fd34b85cb8f160f860a8d2d5dc6ccae17662 100644
--- a/llama-index-integrations/llms/llama-index-llms-maritalk/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-maritalk/pyproject.toml
@@ -30,11 +30,11 @@ license = "MIT"
name = "llama-index-llms-maritalk"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.12"
-llama-index-core = "^0.10.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-mistral-rs/llama_index/llms/mistral_rs/base.py b/llama-index-integrations/llms/llama-index-llms-mistral-rs/llama_index/llms/mistral_rs/base.py
index e42d41a127869ead8d444bd541358db4fb5714fe..78bc17a1b1ab7317b4c97a286d6108706e23215a 100644
--- a/llama-index-integrations/llms/llama-index-llms-mistral-rs/llama_index/llms/mistral_rs/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-mistral-rs/llama_index/llms/mistral_rs/base.py
@@ -1,4 +1,4 @@
-from typing import Any, Callable, Dict, Optional, Sequence, List
+from typing import Any, Callable, Dict, Optional, Sequence, List, TYPE_CHECKING
from llama_index.core.base.llms.types import (
ChatMessage,
@@ -21,11 +21,11 @@ from llama_index.core.llms.callbacks import llm_chat_callback, llm_completion_ca
from llama_index.core.llms.custom import CustomLLM
from llama_index.core.types import BaseOutputParser, PydanticProgramMode
-from mistralrs import (
- ChatCompletionRequest,
- Runner,
- Which,
-)
+if TYPE_CHECKING:
+ from mistralrs import (
+ Runner,
+ Which,
+ )
DEFAULT_TOPK = 32
DEFAULT_TOPP = 0.1
@@ -152,12 +152,12 @@ class MistralRS(CustomLLM):
model_kwargs: Dict[str, Any] = Field(
default_factory=dict, description="Kwargs used for model initialization."
)
- _runner: Runner = PrivateAttr("Mistral.rs model runner.")
+ _runner: "Runner" = PrivateAttr("Mistral.rs model runner.")
_has_messages_to_prompt: bool = PrivateAttr("If `messages_to_prompt` is provided.")
def __init__(
self,
- which: Which,
+ which: "Which",
temperature: float = DEFAULT_TEMPERATURE,
max_new_tokens: int = DEFAULT_NUM_OUTPUTS,
context_window: int = DEFAULT_CONTEXT_WINDOW,
@@ -237,6 +237,12 @@ class MistralRS(CustomLLM):
@llm_chat_callback()
def chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse:
+ try:
+ from mistralrs import ChatCompletionRequest
+ except ImportError as e:
+ raise ValueError(
+ "Missing `mistralrs` package. Install via `pip install mistralrs`."
+ ) from e
if self._has_messages_to_prompt:
messages = self.messages_to_prompt(messages)
else:
@@ -260,6 +266,12 @@ class MistralRS(CustomLLM):
def stream_chat(
self, messages: Sequence[ChatMessage], **kwargs: Any
) -> ChatResponseGen:
+ try:
+ from mistralrs import ChatCompletionRequest
+ except ImportError as e:
+ raise ValueError(
+ "Missing `mistralrs` package. Install via `pip install mistralrs`."
+ ) from e
if self._has_messages_to_prompt:
messages = self.messages_to_prompt(messages)
else:
@@ -295,6 +307,12 @@ class MistralRS(CustomLLM):
def complete(
self, prompt: str, formatted: bool = False, **kwargs: Any
) -> CompletionResponse:
+ try:
+ from mistralrs import ChatCompletionRequest
+ except ImportError as e:
+ raise ValueError(
+ "Missing `mistralrs` package. Install via `pip install mistralrs`."
+ ) from e
self.generate_kwargs.update({"stream": False})
if not formatted:
prompt = self.completion_to_prompt(prompt)
@@ -315,6 +333,12 @@ class MistralRS(CustomLLM):
def stream_complete(
self, prompt: str, formatted: bool = False, **kwargs: Any
) -> CompletionResponseGen:
+ try:
+ from mistralrs import ChatCompletionRequest
+ except ImportError as e:
+ raise ValueError(
+ "Missing `mistralrs` package. Install via `pip install mistralrs`."
+ ) from e
self.generate_kwargs.update({"stream": True})
if not formatted:
prompt = self.completion_to_prompt(prompt)
diff --git a/llama-index-integrations/llms/llama-index-llms-mistral-rs/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-mistral-rs/pyproject.toml
index bb829cf8c4ef92c8f41605c31314c41ba9c1770e..5fd8b7f755e5f00918e707f9c4d67d2bee79e1e4 100644
--- a/llama-index-integrations/llms/llama-index-llms-mistral-rs/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-mistral-rs/pyproject.toml
@@ -32,12 +32,11 @@ maintainers = ["jerryjliu"]
name = "llama-index-llms-mistral-rs"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
-mistralrs = "^0.1.3"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-mistral-rs/tests/test_llms_mistral-rs.py b/llama-index-integrations/llms/llama-index-llms-mistral-rs/tests/test_llms_mistral-rs.py
index b9905ff2ddcf45d80cfeb8fc74c461280e1a1490..b40b6c2dc329fdf8e158b0fa854cdb1c31d16aae 100644
--- a/llama-index-integrations/llms/llama-index-llms-mistral-rs/tests/test_llms_mistral-rs.py
+++ b/llama-index-integrations/llms/llama-index-llms-mistral-rs/tests/test_llms_mistral-rs.py
@@ -2,6 +2,6 @@ from llama_index.core.base.llms.base import BaseLLM
from llama_index.llms.mistral_rs import MistralRS
-def test_embedding_class():
+def test_llm_class():
names_of_base_classes = [b.__name__ for b in MistralRS.__mro__]
assert BaseLLM.__name__ in names_of_base_classes
diff --git a/llama-index-integrations/llms/llama-index-llms-mistralai/llama_index/llms/mistralai/base.py b/llama-index-integrations/llms/llama-index-llms-mistralai/llama_index/llms/mistralai/base.py
index ed5fbd4df41b72a604bd5015ffafa89015610d9f..078cbed49551ec2b371f1606a9f45d3c20c7741a 100644
--- a/llama-index-integrations/llms/llama-index-llms-mistralai/llama_index/llms/mistralai/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-mistralai/llama_index/llms/mistralai/base.py
@@ -165,11 +165,6 @@ class MistralAI(FunctionCallingLLM):
# Use the custom endpoint if provided, otherwise default to DEFAULT_MISTRALAI_ENDPOINT
endpoint = endpoint or DEFAULT_MISTRALAI_ENDPOINT
- self._client = Mistral(
- api_key=api_key,
- server_url=endpoint,
- )
-
super().__init__(
temperature=temperature,
max_tokens=max_tokens,
@@ -187,6 +182,11 @@ class MistralAI(FunctionCallingLLM):
output_parser=output_parser,
)
+ self._client = Mistral(
+ api_key=api_key,
+ server_url=endpoint,
+ )
+
@classmethod
def class_name(cls) -> str:
return "MistralAI_LLM"
diff --git a/llama-index-integrations/llms/llama-index-llms-mistralai/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-mistralai/pyproject.toml
index d007f06ceac9a93cf1efaa087a632cde0c833dfe..37d46858af3db974f63463aa94101d48d3cde450 100644
--- a/llama-index-integrations/llms/llama-index-llms-mistralai/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-mistralai/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-mistralai"
readme = "README.md"
-version = "0.1.20"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.57"
mistralai = ">=1.0.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-mlx/llama_index/llms/mlx/base.py b/llama-index-integrations/llms/llama-index-llms-mlx/llama_index/llms/mlx/base.py
index 300d221f44542cd32353383020ab2e055c616726..4348d1941b971aeef09cc8b262b6d3f1651fa76c 100644
--- a/llama-index-integrations/llms/llama-index-llms-mlx/llama_index/llms/mlx/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-mlx/llama_index/llms/mlx/base.py
@@ -170,10 +170,10 @@ class MLXLLM(CustomLLM):
"""Initialize params."""
model_kwargs = model_kwargs or {}
if model is None:
- self._model, self._tokenizer = load(model_name, **model_kwargs)
+ model, tokenizer = load(model_name, **model_kwargs)
else:
- self._model = model
- self._tokenizer = tokenizer
+ model = model
+ tokenizer = tokenizer
# check context_window
tokenizer_kwargs = tokenizer_kwargs or {}
@@ -202,6 +202,8 @@ class MLXLLM(CustomLLM):
pydantic_program_mode=pydantic_program_mode,
output_parser=output_parser,
)
+ self._model = model
+ self._tokenizer = tokenizer
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/llms/llama-index-llms-mlx/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-mlx/pyproject.toml
index cf5c2ee3096e0ddf7506621004cd631cf643b464..189672483a0a132c335c7b91d43e454d7f87a786 100644
--- a/llama-index-integrations/llms/llama-index-llms-mlx/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-mlx/pyproject.toml
@@ -30,13 +30,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-mlx"
readme = "README.md"
-version = "0.1.0"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.10,<4.0"
-llama-index-core = "^0.10.0"
mlx-lm = ">=0.11.0"
mlx = ">=0.11.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-modelscope/llama_index/llms/modelscope/base.py b/llama-index-integrations/llms/llama-index-llms-modelscope/llama_index/llms/modelscope/base.py
index db26971e732a747727fc12c39655cbe30c7221b6..12b62e5e47d3d545eb76aa6879c6510e6e022748 100644
--- a/llama-index-integrations/llms/llama-index-llms-modelscope/llama_index/llms/modelscope/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-modelscope/llama_index/llms/modelscope/base.py
@@ -27,7 +27,6 @@ from llama_index.llms.modelscope.utils import (
text_to_completion_response,
modelscope_message_to_chat_response,
)
-from modelscope import pipeline
DEFAULT_MODELSCOPE_MODEL = "qwen/Qwen-7B-Chat"
DEFAULT_MODELSCOPE_MODEL_REVISION = "master"
@@ -127,9 +126,9 @@ class ModelScopeLLM(CustomLLM):
"""Initialize params."""
model_kwargs = model_kwargs or {}
if model:
- self._pipeline = model
+ pipeline = model
else:
- self._pipeline = pipeline(
+ pipeline = pipeline(
task=task_name,
model=model_name,
model_revision=model_revision,
@@ -144,6 +143,7 @@ class ModelScopeLLM(CustomLLM):
callback_manager=callback_manager,
pydantic_program_mode=pydantic_program_mode,
)
+ self._pipeline = pipeline
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/llms/llama-index-llms-modelscope/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-modelscope/pyproject.toml
index 248cb8eeb4b1c06d0387305e7c58ba8b351b30e6..1b873077b15512b74dfe44acdd968d7b3338fd94 100644
--- a/llama-index-integrations/llms/llama-index-llms-modelscope/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-modelscope/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-modelscope"
readme = "README.md"
-version = "0.1.1"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.12"
-llama-index-core = "^0.10.1"
modelscope = ">=1.12.0"
torch = "^2.1.2"
+llama-index-core = "^0.11.0"
[tool.poetry.dependencies.transformers]
extras = ["torch"]
diff --git a/llama-index-integrations/llms/llama-index-llms-monsterapi/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-monsterapi/pyproject.toml
index 250dc70c48ebf0bca61e9ff41638ff9603294583..f7f17f62f85edfb94856a8b35ec13921e600f19b 100644
--- a/llama-index-integrations/llms/llama-index-llms-monsterapi/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-monsterapi/pyproject.toml
@@ -27,11 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-monsterapi"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-mymagic/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-mymagic/pyproject.toml
index c2a87606ab749b7de9f2da69b9c8bebb87cc6fb8..1ece88a163cf75ffea414188c7ded2f0150d6331 100644
--- a/llama-index-integrations/llms/llama-index-llms-mymagic/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-mymagic/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-mymagic"
readme = "README.md"
-version = "0.1.7"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-neutrino/llama_index/llms/neutrino/base.py b/llama-index-integrations/llms/llama-index-llms-neutrino/llama_index/llms/neutrino/base.py
index 8ac0af9ae2c7e491433fbf4a3ea6d6274c57b469..2fa6ac14aecdae98e48c7f37fb42674db8c33f92 100644
--- a/llama-index-integrations/llms/llama-index-llms-neutrino/llama_index/llms/neutrino/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-neutrino/llama_index/llms/neutrino/base.py
@@ -57,7 +57,7 @@ class Neutrino(OpenAILike):
)
is_chat_model: bool = Field(
default=True,
- description=LLMMetadata.__fields__["is_chat_model"].field_info.description,
+ description=LLMMetadata.model_fields["is_chat_model"].description,
)
def __init__(
diff --git a/llama-index-integrations/llms/llama-index-llms-neutrino/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-neutrino/pyproject.toml
index 67c8242eef42e58f7f8a4e217650ae4eb4449b03..ddcc39d1895ec8d7a1746f4b171ddaa5108d7e59 100644
--- a/llama-index-integrations/llms/llama-index-llms-neutrino/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-neutrino/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-neutrino"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.11.post1"
-llama-index-llms-openai-like = "^0.1.3"
+llama-index-llms-openai-like = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-nvidia-tensorrt/llama_index/llms/nvidia_tensorrt/base.py b/llama-index-integrations/llms/llama-index-llms-nvidia-tensorrt/llama_index/llms/nvidia_tensorrt/base.py
index 7de63b9abf3817937ec171ab441807be36cba365..cb6e6aa95ec9cc01ce324ec802f0cbc4cc8dc8bb 100644
--- a/llama-index-integrations/llms/llama-index-llms-nvidia-tensorrt/llama_index/llms/nvidia_tensorrt/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-nvidia-tensorrt/llama_index/llms/nvidia_tensorrt/base.py
@@ -162,8 +162,8 @@ class LocalTensorRTLLM(CustomLLM):
model_kwargs = model_kwargs or {}
model_kwargs.update({"n_ctx": context_window, "verbose": verbose})
- self._max_new_tokens = max_new_tokens
- self._verbose = verbose
+ max_new_tokens = max_new_tokens
+ verbose = verbose
# check if model is cached
if model_path is not None:
if not os.path.exists(model_path):
@@ -204,7 +204,7 @@ class LocalTensorRTLLM(CustomLLM):
num_kv_heads = 1
num_kv_heads = (num_kv_heads + tp_size - 1) // tp_size
- self._model_config = ModelConfig(
+ model_config = ModelConfig(
num_heads=num_heads,
num_kv_heads=num_kv_heads,
hidden_size=hidden_size,
@@ -231,10 +231,8 @@ class LocalTensorRTLLM(CustomLLM):
torch.cuda.is_available()
), "LocalTensorRTLLM requires a Nvidia CUDA enabled GPU to operate"
torch.cuda.set_device(runtime_rank % runtime_mapping.gpus_per_node)
- self._tokenizer = AutoTokenizer.from_pretrained(
- tokenizer_dir, legacy=False
- )
- self._sampling_config = SamplingConfig(
+ tokenizer = AutoTokenizer.from_pretrained(tokenizer_dir, legacy=False)
+ sampling_config = SamplingConfig(
end_id=EOS_TOKEN,
pad_id=PAD_TOKEN,
num_beams=1,
@@ -245,9 +243,9 @@ class LocalTensorRTLLM(CustomLLM):
with open(serialize_path, "rb") as f:
engine_buffer = f.read()
decoder = tensorrt_llm.runtime.GenerationSession(
- self._model_config, engine_buffer, runtime_mapping, debug_mode=False
+ model_config, engine_buffer, runtime_mapping, debug_mode=False
)
- self._model = decoder
+ model = decoder
generate_kwargs = generate_kwargs or {}
generate_kwargs.update(
@@ -266,6 +264,12 @@ class LocalTensorRTLLM(CustomLLM):
model_kwargs=model_kwargs,
verbose=verbose,
)
+ self._model = model
+ self._model_config = model_config
+ self._tokenizer = tokenizer
+ self._sampling_config = sampling_config
+ self._max_new_tokens = max_new_tokens
+ self._verbose = verbose
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/llms/llama-index-llms-nvidia-tensorrt/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-nvidia-tensorrt/pyproject.toml
index 32e0d79e23fa81c1cbc420bd2ee0e48bf03eec18..10028b98be8dc57ba988f4abe5e7cba2298d76af 100644
--- a/llama-index-integrations/llms/llama-index-llms-nvidia-tensorrt/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-nvidia-tensorrt/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-nvidia-tensorrt"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
torch = "^2.1.2"
transformers = "^4.37.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-nvidia-triton/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-nvidia-triton/pyproject.toml
index 67cfd96f7b9bf21ce0c842bb58a80b596096c41c..84f81a1679343b530ee3bc1d19f9d1fc97976cd2 100644
--- a/llama-index-integrations/llms/llama-index-llms-nvidia-triton/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-nvidia-triton/pyproject.toml
@@ -27,15 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-nvidia-triton"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-
-[tool.poetry.dependencies.tritonclient]
-extras = ["all"]
-version = "^2.41.1"
+tritonclient = {extras = ["grpc", "http"], version = "^2.48.0"}
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-nvidia/llama_index/llms/nvidia/base.py b/llama-index-integrations/llms/llama-index-llms-nvidia/llama_index/llms/nvidia/base.py
index a8a2e0ce881c7bc152bff51e030e8c2bbc068e07..f1b14ec8681c0d48a0a75ec36fd31816305692c5 100644
--- a/llama-index-integrations/llms/llama-index-llms-nvidia/llama_index/llms/nvidia/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-nvidia/llama_index/llms/nvidia/base.py
@@ -33,7 +33,7 @@ class NVIDIA(OpenAILike):
"""NVIDIA's API Catalog Connector."""
_is_hosted: bool = PrivateAttr(True)
- _mode: str = PrivateAttr("nvidia")
+ _mode: str = PrivateAttr(default="nvidia")
def __init__(
self,
@@ -71,11 +71,11 @@ class NVIDIA(OpenAILike):
"NO_API_KEY_PROVIDED",
)
- self._is_hosted = base_url in KNOWN_URLS
+ is_hosted = base_url in KNOWN_URLS
if base_url not in KNOWN_URLS:
base_url = self._validate_url(base_url)
- if self._is_hosted and api_key == "NO_API_KEY_PROVIDED":
+ if is_hosted and api_key == "NO_API_KEY_PROVIDED":
warnings.warn(
"An API key is required for the hosted NIM. This will become an error in 0.2.0.",
)
@@ -89,6 +89,7 @@ class NVIDIA(OpenAILike):
default_headers={"User-Agent": "llama-index-llms-nvidia"},
**kwargs,
)
+ self._is_hosted = is_hosted
def _validate_url(self, base_url):
"""
diff --git a/llama-index-integrations/llms/llama-index-llms-nvidia/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-nvidia/pyproject.toml
index a6d127b688b98139c28a26c2b0e4526be4acd0e5..5b816048d3305aae5072bd28cf4fe27fb5331563 100644
--- a/llama-index-integrations/llms/llama-index-llms-nvidia/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-nvidia/pyproject.toml
@@ -30,13 +30,13 @@ license = "MIT"
name = "llama-index-llms-nvidia"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
-llama-index-llms-openai = "^0.1.17"
-llama-index-llms-openai-like = "^0.1.3"
+llama-index-llms-openai = "^0.2.0"
+llama-index-llms-openai-like = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-nvidia/tests/conftest.py b/llama-index-integrations/llms/llama-index-llms-nvidia/tests/conftest.py
index 20f315ff33aa14c1cea55910d5f5d25487d62731..7e128718847d7d3721916828e9f71400a931459e 100644
--- a/llama-index-integrations/llms/llama-index-llms-nvidia/tests/conftest.py
+++ b/llama-index-integrations/llms/llama-index-llms-nvidia/tests/conftest.py
@@ -1,8 +1,6 @@
import pytest
import os
-from llama_index.llms.nvidia import NVIDIA
-from llama_index.llms.nvidia.base import DEFAULT_MODEL
from typing import Generator
@@ -60,6 +58,9 @@ def get_mode(config: pytest.Config) -> dict:
def pytest_generate_tests(metafunc: pytest.Metafunc) -> None:
+ from llama_index.llms.nvidia import NVIDIA
+ from llama_index.llms.nvidia.base import DEFAULT_MODEL
+
mode = get_mode(metafunc.config)
if "chat_model" in metafunc.fixturenames:
diff --git a/llama-index-integrations/llms/llama-index-llms-oci-genai/llama_index/llms/oci_genai/base.py b/llama-index-integrations/llms/llama-index-llms-oci-genai/llama_index/llms/oci_genai/base.py
index ad5fca741bc569a5d0cf59ea553d2a0cd807dc36..f0df254601e8eeb2ed65c79d8f54c1ba95cebbb0 100644
--- a/llama-index-integrations/llms/llama-index-llms-oci-genai/llama_index/llms/oci_genai/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-oci-genai/llama_index/llms/oci_genai/base.py
@@ -74,12 +74,12 @@ class OCIGenAI(LLM):
max_tokens: int = Field(description="The maximum number of tokens to generate.")
context_size: int = Field("The maximum number of tokens available for input.")
- service_endpoint: str = Field(
+ service_endpoint: Optional[str] = Field(
default=None,
description="service endpoint url.",
)
- compartment_id: str = Field(
+ compartment_id: Optional[str] = Field(
default=None,
description="OCID of compartment.",
)
@@ -111,8 +111,8 @@ class OCIGenAI(LLM):
temperature: Optional[float] = DEFAULT_TEMPERATURE,
max_tokens: Optional[int] = 512,
context_size: Optional[int] = None,
- service_endpoint: str = None,
- compartment_id: str = None,
+ service_endpoint: Optional[str] = None,
+ compartment_id: Optional[str] = None,
auth_type: Optional[str] = "API_KEY",
auth_profile: Optional[str] = "DEFAULT",
client: Optional[Any] = None,
@@ -153,18 +153,6 @@ class OCIGenAI(LLM):
additional_kwargs (Optional[Dict[str, Any]]): Additional kwargs for the the LLM.
"""
- self._client = client or create_client(
- auth_type, auth_profile, service_endpoint
- )
-
- self._provider = get_provider(model, provider)
-
- self._serving_mode = get_serving_mode(model)
-
- self._completion_generator = get_completion_generator()
-
- self._chat_generator = get_chat_generator()
-
context_size = get_context_size(model, context_size)
additional_kwargs = additional_kwargs or {}
@@ -188,6 +176,18 @@ class OCIGenAI(LLM):
output_parser=output_parser,
)
+ self._client = client or create_client(
+ auth_type, auth_profile, service_endpoint
+ )
+
+ self._provider = get_provider(model, provider)
+
+ self._serving_mode = get_serving_mode(model)
+
+ self._completion_generator = get_completion_generator()
+
+ self._chat_generator = get_chat_generator()
+
@classmethod
def class_name(cls) -> str:
"""Get class name."""
diff --git a/llama-index-integrations/llms/llama-index-llms-oci-genai/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-oci-genai/pyproject.toml
index 857da6249b532226116737cda378382d4c4e0e6c..08074d3c7195eb1c835ddd3c167e7b7d2bf1f5c9 100644
--- a/llama-index-integrations/llms/llama-index-llms-oci-genai/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-oci-genai/pyproject.toml
@@ -31,12 +31,12 @@ license = "MIT"
name = "llama-index-llms-oci-genai"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
oci = "^2.128.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-octoai/llama_index/llms/octoai/base.py b/llama-index-integrations/llms/llama-index-llms-octoai/llama_index/llms/octoai/base.py
index 2d656bee9e19186fa84ad9783ca32ccff0d05a32..601d72da32e4f8c25cd1c6d4ddcc8031e600e8c1 100644
--- a/llama-index-integrations/llms/llama-index-llms-octoai/llama_index/llms/octoai/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-octoai/llama_index/llms/octoai/base.py
@@ -37,7 +37,7 @@ from llama_index.llms.octoai.utils import (
to_octoai_messages,
)
-from octoai.client import Client
+from octoai.client import OctoAI
DEFAULT_OCTOAI_MODEL = "mistral-7b-instruct"
@@ -62,7 +62,7 @@ class OctoAI(LLM):
additional_kwargs: Dict[str, Any] = Field(
default_factory=dict, description="Additional kwargs for the OctoAI SDK."
)
- _client: Optional[Client] = PrivateAttr()
+ _client: Optional[OctoAI] = PrivateAttr()
def __init__(
self,
@@ -83,6 +83,20 @@ class OctoAI(LLM):
additional_kwargs = additional_kwargs or {}
callback_manager = callback_manager or CallbackManager([])
+ super().__init__(
+ additional_kwargs=additional_kwargs,
+ max_tokens=max_tokens,
+ model=model,
+ callback_manager=callback_manager,
+ temperature=temperature,
+ timeout=timeout,
+ system_prompt=system_prompt,
+ messages_to_prompt=messages_to_prompt,
+ completion_to_prompt=completion_to_prompt,
+ pydantic_program_mode=pydantic_program_mode,
+ output_parser=output_parser,
+ )
+
token = get_from_param_or_env("token", token, "OCTOAI_TOKEN", "")
if not token:
@@ -93,27 +107,13 @@ class OctoAI(LLM):
)
try:
- self._client = Client(token=token, timeout=timeout)
+ self._client = OctoAI(token=token, timeout=timeout)
except ImportError as err:
raise ImportError(
"Could not import OctoAI python package. "
"Please install it with `pip install octoai-sdk`."
) from err
- super().__init__(
- additional_kwargs=additional_kwargs,
- max_tokens=max_tokens,
- model=model,
- callback_manager=callback_manager,
- temperature=temperature,
- timeout=timeout,
- system_prompt=system_prompt,
- messages_to_prompt=messages_to_prompt,
- completion_to_prompt=completion_to_prompt,
- pydantic_program_mode=pydantic_program_mode,
- output_parser=output_parser,
- )
-
@property
def metadata(self) -> LLMMetadata:
"""Get LLM metadata."""
diff --git a/llama-index-integrations/llms/llama-index-llms-octoai/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-octoai/pyproject.toml
index 0903b32a5688371974d35c2edd67146d1ab6f2e6..f34a827ad29e286128d4aa49b36c2fba23be2afe 100644
--- a/llama-index-integrations/llms/llama-index-llms-octoai/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-octoai/pyproject.toml
@@ -28,12 +28,13 @@ license = "MIT"
name = "llama-index-llms-octoai"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
-octoai-sdk = "~0.10.1"
+boto3 = "^1.35.3"
+octoai = "^1.6.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-ollama/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-ollama/pyproject.toml
index d57cf3215276c68a16ee5e9d6efc445ea2aaee2b..4b517f661a11c0d3bcc5b819d0553cf38a6fa542 100644
--- a/llama-index-integrations/llms/llama-index-llms-ollama/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-ollama/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-ollama"
readme = "README.md"
-version = "0.2.2"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
ollama = ">=0.3.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-openai-like/llama_index/llms/openai_like/base.py b/llama-index-integrations/llms/llama-index-llms-openai-like/llama_index/llms/openai_like/base.py
index 71c32cf49e0ff7d52b882450ae6cf269c35ebf6e..2d3a66c643a91461b91fb2ec7e0b05ce92d30720 100644
--- a/llama-index-integrations/llms/llama-index-llms-openai-like/llama_index/llms/openai_like/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-openai-like/llama_index/llms/openai_like/base.py
@@ -50,17 +50,15 @@ class OpenAILike(OpenAI):
context_window: int = Field(
default=DEFAULT_CONTEXT_WINDOW,
- description=LLMMetadata.__fields__["context_window"].field_info.description,
+ description=LLMMetadata.model_fields["context_window"].description,
)
is_chat_model: bool = Field(
default=False,
- description=LLMMetadata.__fields__["is_chat_model"].field_info.description,
+ description=LLMMetadata.model_fields["is_chat_model"].description,
)
is_function_calling_model: bool = Field(
default=False,
- description=LLMMetadata.__fields__[
- "is_function_calling_model"
- ].field_info.description,
+ description=LLMMetadata.model_fields["is_function_calling_model"].description,
)
tokenizer: Union[Tokenizer, str, None] = Field(
default=None,
diff --git a/llama-index-integrations/llms/llama-index-llms-openai-like/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-openai-like/pyproject.toml
index a1427b68e912c8f591461381a76f159a14feb89d..7196f9cd650c7c2ea82a02b9054f841c204af582 100644
--- a/llama-index-integrations/llms/llama-index-llms-openai-like/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-openai-like/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-openai-like"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-openai = "^0.1.1"
+llama-index-llms-openai = "^0.2.0"
transformers = "^4.37.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-openai-like/tests/test_openai_like.py b/llama-index-integrations/llms/llama-index-llms-openai-like/tests/test_openai_like.py
index ed76fec77c1fa4258ae3d095bb3da4003aa93e52..9e206c0690885c422516764629b83d565df0c88b 100644
--- a/llama-index-integrations/llms/llama-index-llms-openai-like/tests/test_openai_like.py
+++ b/llama-index-integrations/llms/llama-index-llms-openai-like/tests/test_openai_like.py
@@ -1,8 +1,8 @@
-from typing import List
+from typing import List, Dict, Any
+from types import MappingProxyType
from unittest.mock import MagicMock, call, patch
from llama_index.core.base.llms.types import ChatMessage, MessageRole
-from llama_index.llms.localai.base import LOCALAI_DEFAULTS
from llama_index.llms.openai import Tokenizer
from llama_index.llms.openai_like import OpenAILike
from openai.types import Completion, CompletionChoice
@@ -23,6 +23,17 @@ class StubTokenizer(Tokenizer):
STUB_MODEL_NAME = "models/stub.gguf"
STUB_API_KEY = "stub_key"
+# Use these as kwargs for OpenAILike to connect to LocalAIs
+DEFAULT_LOCALAI_PORT = 8080
+# TODO: move to MappingProxyType[str, Any] once Python 3.9+
+LOCALAI_DEFAULTS: Dict[str, Any] = MappingProxyType( # type: ignore[assignment]
+ {
+ "api_key": "localai_fake",
+ "api_type": "localai_fake",
+ "api_base": f"http://localhost:{DEFAULT_LOCALAI_PORT}/v1",
+ }
+)
+
def test_interfaces() -> None:
llm = OpenAILike(model=STUB_MODEL_NAME, api_key=STUB_API_KEY)
diff --git a/llama-index-integrations/llms/llama-index-llms-openai/llama_index/llms/openai/base.py b/llama-index-integrations/llms/llama-index-llms-openai/llama_index/llms/openai/base.py
index 63f2fc46f0b902a9487abca38efd75635681ad18..c0b072ab85fd75632bb527a267c997cb0b26fc42 100644
--- a/llama-index-integrations/llms/llama-index-llms-openai/llama_index/llms/openai/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-openai/llama_index/llms/openai/base.py
@@ -166,7 +166,8 @@ class OpenAI(FunctionCallingLLM):
gt=0,
)
logprobs: Optional[bool] = Field(
- description="Whether to return logprobs per token."
+ description="Whether to return logprobs per token.",
+ default=None,
)
top_logprobs: int = Field(
description="The number of top token log probs to return.",
@@ -187,7 +188,7 @@ class OpenAI(FunctionCallingLLM):
description="The timeout, in seconds, for API requests.",
gte=0,
)
- default_headers: Dict[str, str] = Field(
+ default_headers: Optional[Dict[str, str]] = Field(
default=None, description="The default headers for API requests."
)
reuse_client: bool = Field(
diff --git a/llama-index-integrations/llms/llama-index-llms-openai/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-openai/pyproject.toml
index 912be6a924d798e2553603e42ae08d59866f1acf..fe2d559d3ddce686ac12567ebd73d1141cf6f5e1 100644
--- a/llama-index-integrations/llms/llama-index-llms-openai/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-openai/pyproject.toml
@@ -29,12 +29,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-openai"
readme = "README.md"
-version = "0.1.31"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.57"
openai = "^1.40.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-openllm/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-openllm/pyproject.toml
index 8a7bfa3b6018a4b1be449cd65c67f35e525c683e..1abdac55f8b032a1f45acd25c8eea1aa1f5ea54d 100644
--- a/llama-index-integrations/llms/llama-index-llms-openllm/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-openllm/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-openllm"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-openai-like = "^0.1.3"
+llama-index-llms-openai-like = "^0.2.0"
openllm = ">=0.6.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-openrouter/llama_index/llms/openrouter/base.py b/llama-index-integrations/llms/llama-index-llms-openrouter/llama_index/llms/openrouter/base.py
index 8a369029eea3ffca6b8d528f633f66a9e7cda1c9..83ded77f5a8fee05a6020eedddccd5b17d4c01fc 100644
--- a/llama-index-integrations/llms/llama-index-llms-openrouter/llama_index/llms/openrouter/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-openrouter/llama_index/llms/openrouter/base.py
@@ -51,7 +51,7 @@ class OpenRouter(OpenAILike):
)
is_chat_model: bool = Field(
default=True,
- description=LLMMetadata.__fields__["is_chat_model"].field_info.description,
+ description=LLMMetadata.model_fields["is_chat_model"].description,
)
def __init__(
diff --git a/llama-index-integrations/llms/llama-index-llms-openrouter/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-openrouter/pyproject.toml
index 8385410c5fed6628a9d1abc50e77974489982a78..f6f47c817117a2c0688969b8ab95daa60699ba99 100644
--- a/llama-index-integrations/llms/llama-index-llms-openrouter/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-openrouter/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-openrouter"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.11.post1"
-llama-index-llms-openai-like = "^0.1.3"
+llama-index-llms-openai-like = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-openvino/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-openvino/pyproject.toml
index ab3e703a7fb02b1916d8971358c138cae0476e18..6ce8a3e34069e5e448ee5f15dfbc107837887552 100644
--- a/llama-index-integrations/llms/llama-index-llms-openvino/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-openvino/pyproject.toml
@@ -30,13 +30,13 @@ license = "MIT"
name = "llama-index-llms-openvino"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.2.3"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.41"
-llama-index-llms-huggingface = "^0.2.8"
+llama-index-llms-huggingface = "^0.3.0"
optimum = {extras = ["openvino"], version = ">=1.21.2"}
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-optimum-intel/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-optimum-intel/pyproject.toml
index 3ab897522c08d374c8cdaac3143814f203539171..d32c680e1b1cea3ecefa6a22ccb76287faece190 100644
--- a/llama-index-integrations/llms/llama-index-llms-optimum-intel/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-optimum-intel/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-llms-optimum-intel"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.0"
-llama-index-llms-huggingface = "^0.1.4"
+llama-index-core = "^0.11.0"
+llama-index-llms-huggingface = "^0.3.0"
optimum = {extras = ["ipex"], version = ">=1.18.0"}
[tool.poetry.group.dev.dependencies]
diff --git a/llama-index-integrations/llms/llama-index-llms-paieas/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-paieas/pyproject.toml
index 3dcd5cdd314f3fb230c9702bb4005d6ad4061b1c..29c95f566e2ee39ff5ff935f8fc28221691eb2b7 100644
--- a/llama-index-integrations/llms/llama-index-llms-paieas/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-paieas/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-paieas"
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.57"
-llama-index-llms-openai-like = "^0.1.3"
+llama-index-llms-openai-like = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-palm/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-palm/pyproject.toml
index aa26990bbfae0dadef377ed9d128b33231b2afa7..ef6d5c2cb39f7f871a4cc91ab5ba3aa5bae1f1aa 100644
--- a/llama-index-integrations/llms/llama-index-llms-palm/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-palm/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-palm"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.11.post1"
google-generativeai = "^0.5.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-perplexity/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-perplexity/pyproject.toml
index 3089d0f6ca16f2c069f59974d7913dbd8361dd9e..dcd10699bda77bf629a0b694ebfbe5ee52976239 100644
--- a/llama-index-integrations/llms/llama-index-llms-perplexity/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-perplexity/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-perplexity"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-portkey/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-portkey/pyproject.toml
index ef31b7fc124f6dc6c2eec162da7fce2b06035789..6673586f50919b51afba7221690db530c6e209a9 100644
--- a/llama-index-integrations/llms/llama-index-llms-portkey/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-portkey/pyproject.toml
@@ -27,15 +27,15 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-portkey"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-anthropic = "^0.1.1"
+llama-index-llms-anthropic = "^0.2.0"
portkey-ai = "^1.1.4"
portkey = "^0.1.2"
-llama-index-llms-openai = "^0.1.1"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-predibase/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-predibase/pyproject.toml
index ac2e986331b7976cd843207b88c1ae40c46d5531..5bb84b888f283efcb79a59700d931d75ef9f8f77 100644
--- a/llama-index-integrations/llms/llama-index-llms-predibase/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-predibase/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-predibase"
readme = "README.md"
-version = "0.1.7"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-premai/llama_index/llms/premai/base.py b/llama-index-integrations/llms/llama-index-llms-premai/llama_index/llms/premai/base.py
index ad6ff959eddc7ca4ae6f0641d9a90d644581e77d..c6637d4b4068233a0a84f7b90d8fa17d9a702b84 100644
--- a/llama-index-integrations/llms/llama-index-llms-premai/llama_index/llms/premai/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-premai/llama_index/llms/premai/base.py
@@ -110,7 +110,6 @@ class PremAI(LLM):
"You can either pass it in as an argument or set it `PREMAI_API_KEY`. You can get your API key here: https://app.premai.io/api_keys/"
)
- self._client = Prem(api_key=api_key)
additional_kwargs = {**(additional_kwargs or {}), **kwargs}
super().__init__(
@@ -129,6 +128,7 @@ class PremAI(LLM):
max_retries=max_retries,
repositories=repositories,
)
+ self._client = Prem(api_key=api_key)
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/llms/llama-index-llms-premai/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-premai/pyproject.toml
index 6a2585072b25e564469312b5cd1594f7a90be2c7..b0086c3d9923f725bb7ca5c9996f27a3361effc0 100644
--- a/llama-index-integrations/llms/llama-index-llms-premai/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-premai/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-premai"
readme = "README.md"
-version = "0.1.7"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
premai = "^0.3.57"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-qianfan/llama_index/llms/qianfan/base.py b/llama-index-integrations/llms/llama-index-llms-qianfan/llama_index/llms/qianfan/base.py
index e564fb61540ee118b20cf55e84f07ef3b09e7a71..aa0cb8e828d501ca16ff2e3abfec2c951426159b 100644
--- a/llama-index-integrations/llms/llama-index-llms-qianfan/llama_index/llms/qianfan/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-qianfan/llama_index/llms/qianfan/base.py
@@ -192,8 +192,6 @@ class Qianfan(CustomLLM):
if llm_type != "chat":
raise NotImplementedError("Only the chat type is supported.")
- self._client = Client(access_key, secret_key)
-
super().__init__(
model_name=model_name,
endpoint_url=endpoint_url,
@@ -202,6 +200,7 @@ class Qianfan(CustomLLM):
secret_key=secret_key,
llm_type=llm_type,
)
+ self._client = Client(access_key, secret_key)
@classmethod
def from_model_name(
diff --git a/llama-index-integrations/llms/llama-index-llms-qianfan/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-qianfan/pyproject.toml
index 08d75eef8aa33a2d2048dbb46ce5fabd1935c999..0426ca16f1a5f7881d597e4b2e9c76991c57ae1e 100644
--- a/llama-index-integrations/llms/llama-index-llms-qianfan/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-qianfan/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-llms-qianfan"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
-llama-index-utils-qianfan = "^0.1.0"
+llama-index-utils-qianfan = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-replicate/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-replicate/pyproject.toml
index e0c3c8170f0b69329f87f11f1de58864023349a3..23de01f95380e0c7bf48c1735865154cf5210e92 100644
--- a/llama-index-integrations/llms/llama-index-llms-replicate/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-replicate/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-replicate"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-rungpt/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-rungpt/pyproject.toml
index 365d1e32fc65ecdc5a8227776c2281909cee95a8..7495951dbf55b28b785dc0a3bf34125aaad92c87 100644
--- a/llama-index-integrations/llms/llama-index-llms-rungpt/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-rungpt/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-rungpt"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-sagemaker-endpoint/llama_index/llms/sagemaker_endpoint/base.py b/llama-index-integrations/llms/llama-index-llms-sagemaker-endpoint/llama_index/llms/sagemaker_endpoint/base.py
index 0c59ad8968f399826993ef1f597a5b9e4ed29884..8de20bc52551318d35b592174105d614f5d644ee 100644
--- a/llama-index-integrations/llms/llama-index-llms-sagemaker-endpoint/llama_index/llms/sagemaker_endpoint/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-sagemaker-endpoint/llama_index/llms/sagemaker_endpoint/base.py
@@ -155,17 +155,6 @@ class SageMakerLLM(LLM):
model_kwargs = model_kwargs or {}
model_kwargs["temperature"] = temperature
content_handler = content_handler
- self._completion_to_prompt = completion_to_prompt
- self._client = get_aws_service_client(
- service_name="sagemaker-runtime",
- profile_name=profile_name,
- region_name=region_name,
- aws_access_key_id=aws_access_key_id,
- aws_secret_access_key=aws_secret_access_key,
- aws_session_token=aws_session_token,
- max_retries=max_retries,
- timeout=timeout,
- )
callback_manager = callback_manager or CallbackManager([])
super().__init__(
@@ -182,6 +171,17 @@ class SageMakerLLM(LLM):
pydantic_program_mode=pydantic_program_mode,
output_parser=output_parser,
)
+ self._completion_to_prompt = completion_to_prompt
+ self._client = get_aws_service_client(
+ service_name="sagemaker-runtime",
+ profile_name=profile_name,
+ region_name=region_name,
+ aws_access_key_id=aws_access_key_id,
+ aws_secret_access_key=aws_secret_access_key,
+ aws_session_token=aws_session_token,
+ max_retries=max_retries,
+ timeout=timeout,
+ )
@llm_completion_callback()
def complete(
diff --git a/llama-index-integrations/llms/llama-index-llms-sagemaker-endpoint/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-sagemaker-endpoint/pyproject.toml
index e40a9a0969cdbc51c680fb8e397cc9e111608657..65a68efbb98f6371685bc7406cc6aca661b57d39 100644
--- a/llama-index-integrations/llms/llama-index-llms-sagemaker-endpoint/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-sagemaker-endpoint/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-sagemaker-endpoint"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-llama-cpp = "^0.1.1"
+llama-index-llms-llama-cpp = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-sambanova/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-sambanova/pyproject.toml
index a79fa0255e54fcf3e23f76a562a7d91f34a7e9cc..3af3a61e4ed0228480b651a88739d5da292d1d75 100644
--- a/llama-index-integrations/llms/llama-index-llms-sambanova/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-sambanova/pyproject.toml
@@ -26,11 +26,11 @@ authors = ["Your Name <you@example.com>"]
description = "llama-index llms sambanova integration"
name = "sambanova"
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
-python = ">=3.8.1,<4.0.0"
-llama-index-core = "^0.10.1"
+python = ">=3.8.1,<4.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-solar/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-solar/pyproject.toml
index 619bc2e8be107cb9a057f7063e28e0b804c810e0..6289987bb01eccfd09aa48d211b2cd0432928a7d 100644
--- a/llama-index-integrations/llms/llama-index-llms-solar/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-solar/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-solar"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-openai = "^0.1.1"
+llama-index-llms-openai = "^0.2.0"
transformers = "^4.37.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-text-generation-inference/llama_index/llms/text_generation_inference/base.py b/llama-index-integrations/llms/llama-index-llms-text-generation-inference/llama_index/llms/text_generation_inference/base.py
index 893b3677ef9cddab7608d6e1f76ee212f3f2d194..595b48f6cca2537e27f93e4e1f7210100e65ab53 100644
--- a/llama-index-integrations/llms/llama-index-llms-text-generation-inference/llama_index/llms/text_generation_inference/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-text-generation-inference/llama_index/llms/text_generation_inference/base.py
@@ -106,7 +106,7 @@ class TextGenerationInference(FunctionCallingLLM):
is_chat_model: bool = Field(
default=True,
description=(
- LLMMetadata.__fields__["is_chat_model"].field_info.description
+ LLMMetadata.model_fields["is_chat_model"].description
+ " TGI makes use of chat templating,"
" function call is available only for '/v1/chat/completions' route"
" of TGI endpoint"
@@ -115,7 +115,7 @@ class TextGenerationInference(FunctionCallingLLM):
is_function_calling_model: bool = Field(
default=False,
description=(
- LLMMetadata.__fields__["is_function_calling_model"].field_info.description
+ LLMMetadata.model_fields["is_function_calling_model"].description
+ " 'text-generation-inference' supports function call"
" starting from v1.4.3"
),
@@ -149,19 +149,6 @@ class TextGenerationInference(FunctionCallingLLM):
if token:
headers.update({"Authorization": f"Bearer {token}"})
- self._sync_client = TGIClient(
- base_url=model_url,
- headers=headers,
- cookies=cookies,
- timeout=timeout,
- )
- self._async_client = TGIAsyncClient(
- base_url=model_url,
- headers=headers,
- cookies=cookies,
- timeout=timeout,
- )
-
try:
is_function_calling_model = resolve_tgi_function_call(model_url)
except Exception as e:
@@ -187,6 +174,18 @@ class TextGenerationInference(FunctionCallingLLM):
pydantic_program_mode=pydantic_program_mode,
output_parser=output_parser,
)
+ self._sync_client = TGIClient(
+ base_url=model_url,
+ headers=headers,
+ cookies=cookies,
+ timeout=timeout,
+ )
+ self._async_client = TGIAsyncClient(
+ base_url=model_url,
+ headers=headers,
+ cookies=cookies,
+ timeout=timeout,
+ )
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/llms/llama-index-llms-text-generation-inference/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-text-generation-inference/pyproject.toml
index 8f250c15895ff8273ea14f87805a57fab2fb6a83..13182cf6fe9c1373aa55afb5ff5b87d6da6d001f 100644
--- a/llama-index-integrations/llms/llama-index-llms-text-generation-inference/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-text-generation-inference/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-text-generation-inference"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.57"
text-generation = "^0.7.0"
-llama-index-utils-huggingface = "^0.1.1"
+llama-index-utils-huggingface = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-together/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-together/pyproject.toml
index 7ff6890a8730f9e2cf28e309f1bc03439ce73ced..60b5e43f5a557a119c9bb804a5e1d5cf707872d6 100644
--- a/llama-index-integrations/llms/llama-index-llms-together/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-together/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-together"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.11.post1"
-llama-index-llms-openai-like = "^0.1.3"
+llama-index-llms-openai-like = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-unify/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-unify/pyproject.toml
index 34fd535ec8eeb30147b30f15524104485233ffa1..959fc27d65c71b7ab26ab2ef560eb4a4bc708d5f 100644
--- a/llama-index-integrations/llms/llama-index-llms-unify/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-unify/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-llms-unify"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
-llama-index-llms-openai-like = "^0.1.3"
+llama-index-llms-openai-like = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-upstage/llama_index/llms/upstage/base.py b/llama-index-integrations/llms/llama-index-llms-upstage/llama_index/llms/upstage/base.py
index 92f7db935a773ffb332b450ee3ad13b2aff990ec..96d96ea74d96e2b88ac14c878244e67c7be82bd5 100644
--- a/llama-index-integrations/llms/llama-index-llms-upstage/llama_index/llms/upstage/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-upstage/llama_index/llms/upstage/base.py
@@ -14,6 +14,7 @@ from llama_index.llms.upstage.utils import (
from llama_index.core.callbacks import CallbackManager
from llama_index.core.constants import DEFAULT_TEMPERATURE
from llama_index.core.types import BaseOutputParser, PydanticProgramMode
+from llama_index.core.bridge.pydantic import ConfigDict
from tokenizers import Tokenizer
from pydantic import Field, PrivateAttr
from openai import OpenAI as SyncOpenAI
@@ -43,6 +44,7 @@ class Upstage(OpenAI):
```
"""
+ model_config = ConfigDict(arbitrary_types_allowed=True, populate_by_name=True)
model: str = Field(
default=DEFAULT_UPSTAGE_MODEL, description="The Upstage model to use."
)
diff --git a/llama-index-integrations/llms/llama-index-llms-upstage/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-upstage/pyproject.toml
index 01f70de7cf460273e0f61d573a10fb158e98e878..1ffd9fe07103e8039cfbb6a4d8a8aa213a161f0e 100644
--- a/llama-index-integrations/llms/llama-index-llms-upstage/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-upstage/pyproject.toml
@@ -30,14 +30,14 @@ license = "MIT"
name = "llama-index-llms-upstage"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
openai = "^1.21.2"
-llama-index-llms-openai = "^0.1.24"
+llama-index-llms-openai = "^0.2.0"
tokenizers = "^0.19.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-vertex/llama_index/llms/vertex/base.py b/llama-index-integrations/llms/llama-index-llms-vertex/llama_index/llms/vertex/base.py
index 60a38a0b531331d92bca2940caf9c52645131c06..1f34b0da1801b112ab75c567052da492b63d9400 100644
--- a/llama-index-integrations/llms/llama-index-llms-vertex/llama_index/llms/vertex/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-vertex/llama_index/llms/vertex/base.py
@@ -119,6 +119,22 @@ class Vertex(FunctionCallingLLM):
additional_kwargs = additional_kwargs or {}
callback_manager = callback_manager or CallbackManager([])
+ super().__init__(
+ temperature=temperature,
+ max_tokens=max_tokens,
+ additional_kwargs=additional_kwargs,
+ max_retries=max_retries,
+ model=model,
+ examples=examples,
+ iscode=iscode,
+ callback_manager=callback_manager,
+ system_prompt=system_prompt,
+ messages_to_prompt=messages_to_prompt,
+ completion_to_prompt=completion_to_prompt,
+ pydantic_program_mode=pydantic_program_mode,
+ output_parser=output_parser,
+ )
+
self._is_gemini = False
self._is_chat_model = False
if model in CHAT_MODELS:
@@ -149,22 +165,6 @@ class Vertex(FunctionCallingLLM):
else:
raise (ValueError(f"Model {model} not found, please verify the model name"))
- super().__init__(
- temperature=temperature,
- max_tokens=max_tokens,
- additional_kwargs=additional_kwargs,
- max_retries=max_retries,
- model=model,
- examples=examples,
- iscode=iscode,
- callback_manager=callback_manager,
- system_prompt=system_prompt,
- messages_to_prompt=messages_to_prompt,
- completion_to_prompt=completion_to_prompt,
- pydantic_program_mode=pydantic_program_mode,
- output_parser=output_parser,
- )
-
@classmethod
def class_name(cls) -> str:
return "Vertex"
diff --git a/llama-index-integrations/llms/llama-index-llms-vertex/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-vertex/pyproject.toml
index f06a4ffe67364995d85666d796640fe833429bb3..d929008d94922a0bfa9bfa2a22a56adcd77dd940 100644
--- a/llama-index-integrations/llms/llama-index-llms-vertex/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-vertex/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-vertex"
readme = "README.md"
-version = "0.2.2"
+version = "0.3.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.57"
google-cloud-aiplatform = "^1.39.0"
pyarrow = "^15.0.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-vllm/llama_index/llms/vllm/base.py b/llama-index-integrations/llms/llama-index-llms-vllm/llama_index/llms/vllm/base.py
index f4a8ae9709b8c50aa020bd8a45c894f2ead173c3..cc3b6c0c74bc2351fea50a31cf071b472f13187a 100644
--- a/llama-index-integrations/llms/llama-index-llms-vllm/llama_index/llms/vllm/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-vllm/llama_index/llms/vllm/base.py
@@ -177,24 +177,6 @@ class Vllm(LLM):
pydantic_program_mode: PydanticProgramMode = PydanticProgramMode.DEFAULT,
output_parser: Optional[BaseOutputParser] = None,
) -> None:
- if not api_url:
- try:
- from vllm import LLM as VLLModel
- except ImportError:
- raise ImportError(
- "Could not import vllm python package. "
- "Please install it with `pip install vllm`."
- )
- self._client = VLLModel(
- model=model,
- tensor_parallel_size=tensor_parallel_size,
- trust_remote_code=trust_remote_code,
- dtype=dtype,
- download_dir=download_dir,
- **vllm_kwargs
- )
- else:
- self._client = None
callback_manager = callback_manager or CallbackManager([])
super().__init__(
model=model,
@@ -221,6 +203,24 @@ class Vllm(LLM):
pydantic_program_mode=pydantic_program_mode,
output_parser=output_parser,
)
+ if not api_url:
+ try:
+ from vllm import LLM as VLLModel
+ except ImportError:
+ raise ImportError(
+ "Could not import vllm python package. "
+ "Please install it with `pip install vllm`."
+ )
+ self._client = VLLModel(
+ model=model,
+ tensor_parallel_size=tensor_parallel_size,
+ trust_remote_code=trust_remote_code,
+ dtype=dtype,
+ download_dir=download_dir,
+ **vllm_kwargs
+ )
+ else:
+ self._client = None
@classmethod
def class_name(cls) -> str:
@@ -386,7 +386,6 @@ class VllmServer(Vllm):
callback_manager: Optional[CallbackManager] = None,
output_parser: Optional[BaseOutputParser] = None,
) -> None:
- self._client = None
messages_to_prompt = messages_to_prompt or generic_messages_to_prompt
completion_to_prompt = completion_to_prompt or (lambda x: x)
callback_manager = callback_manager or CallbackManager([])
@@ -414,6 +413,7 @@ class VllmServer(Vllm):
callback_manager=callback_manager,
output_parser=output_parser,
)
+ self._client = None
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/llms/llama-index-llms-vllm/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-vllm/pyproject.toml
index 60316b2464a612d4db940f3aefac77c0ec553746..f4414a974f752c0d0bb3a83827658bbfb0dba313 100644
--- a/llama-index-integrations/llms/llama-index-llms-vllm/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-vllm/pyproject.toml
@@ -28,11 +28,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-vllm"
readme = "README.md"
-version = "0.1.9"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-xinference/llama_index/llms/xinference/base.py b/llama-index-integrations/llms/llama-index-llms-xinference/llama_index/llms/xinference/base.py
index 0d2d4f9712848450cec5425d8e709c00c42f6b99..ea7b066c3f4577d8bf3b14503689b785a45a2aa3 100644
--- a/llama-index-integrations/llms/llama-index-llms-xinference/llama_index/llms/xinference/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-xinference/llama_index/llms/xinference/base.py
@@ -86,7 +86,6 @@ class Xinference(CustomLLM):
generator, context_window, model_description = self.load_model(
model_uid, endpoint
)
- self._generator = generator
if max_tokens is None:
max_tokens = context_window // 4
elif max_tokens > context_window:
@@ -109,6 +108,7 @@ class Xinference(CustomLLM):
pydantic_program_mode=pydantic_program_mode,
output_parser=output_parser,
)
+ self._generator = generator
def load_model(self, model_uid: str, endpoint: str) -> Tuple[Any, int, dict]:
try:
diff --git a/llama-index-integrations/llms/llama-index-llms-xinference/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-xinference/pyproject.toml
index 01c008fc94ccba6a603a350999f47452c67d68fb..5cf001c33d1eee701580b599af5899faad0b93b6 100644
--- a/llama-index-integrations/llms/llama-index-llms-xinference/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-xinference/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-llms-xinference"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/llms/llama-index-llms-yi/llama_index/llms/yi/base.py b/llama-index-integrations/llms/llama-index-llms-yi/llama_index/llms/yi/base.py
index 920c7f3f89b0aa132a0a22ca5eb511cae7105905..d25d5bf0e70a3cbe3d1d821247cdbf51c59f56a2 100644
--- a/llama-index-integrations/llms/llama-index-llms-yi/llama_index/llms/yi/base.py
+++ b/llama-index-integrations/llms/llama-index-llms-yi/llama_index/llms/yi/base.py
@@ -59,17 +59,15 @@ class Yi(OpenAI):
model: str = Field(default=DEFAULT_YI_MODEL, description="The Yi model to use.")
context_window: int = Field(
default=yi_modelname_to_context_size(DEFAULT_YI_MODEL),
- description=LLMMetadata.__fields__["context_window"].field_info.description,
+ description=LLMMetadata.model_fields["context_window"].description,
)
is_chat_model: bool = Field(
default=True,
- description=LLMMetadata.__fields__["is_chat_model"].field_info.description,
+ description=LLMMetadata.model_fields["is_chat_model"].description,
)
is_function_calling_model: bool = Field(
default=False,
- description=LLMMetadata.__fields__[
- "is_function_calling_model"
- ].field_info.description,
+ description=LLMMetadata.model_fields["is_function_calling_model"].description,
)
tokenizer: Union[Tokenizer, str, None] = Field(
default=None,
diff --git a/llama-index-integrations/llms/llama-index-llms-yi/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-yi/pyproject.toml
index 8711f70573d29bf9c73f7294d8c0c12b2e3e2040..145842bdf2378eb647643f1b8cb83e3e4cca78f0 100644
--- a/llama-index-integrations/llms/llama-index-llms-yi/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-yi/pyproject.toml
@@ -30,13 +30,13 @@ license = "MIT"
name = "llama-index-llms-yi"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
-llama-index-llms-openai = "^0.1.23"
+llama-index-llms-openai = "^0.2.0"
transformers = "^4.41.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/llms/llama-index-llms-you/pyproject.toml b/llama-index-integrations/llms/llama-index-llms-you/pyproject.toml
index d1ace4870e9460be4959dea2a7e37b9965339192..c7215dded74cc46c44f55877327d38059e0481a7 100644
--- a/llama-index-integrations/llms/llama-index-llms-you/pyproject.toml
+++ b/llama-index-integrations/llms/llama-index-llms-you/pyproject.toml
@@ -31,12 +31,12 @@ license = "MIT" # TODO: Update license
name = "llama-index-llms-you"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
sseclient-py = "^1.8.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-anthropic/llama_index/multi_modal_llms/anthropic/base.py b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-anthropic/llama_index/multi_modal_llms/anthropic/base.py
index d9a3168c3dc9cb04ab1613cb9fb8b94fedb02ec8..69924c3d539c0809b8c0454fee1c95011708fd29 100644
--- a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-anthropic/llama_index/multi_modal_llms/anthropic/base.py
+++ b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-anthropic/llama_index/multi_modal_llms/anthropic/base.py
@@ -62,7 +62,7 @@ class AnthropicMultiModal(MultiModalLLM):
additional_kwargs: Dict[str, Any] = Field(
default_factory=dict, description="Additional kwargs for the Anthropic API."
)
- default_headers: Dict[str, str] = Field(
+ default_headers: Optional[Dict[str, str]] = Field(
default=None, description="The default headers for API requests."
)
@@ -92,8 +92,6 @@ class AnthropicMultiModal(MultiModalLLM):
system_prompt: Optional[str] = "",
**kwargs: Any,
) -> None:
- self._messages_to_prompt = messages_to_prompt or generic_messages_to_prompt
- self._completion_to_prompt = completion_to_prompt or (lambda x: x)
api_key, api_base, api_version = resolve_anthropic_credentials(
api_key=api_key,
api_base=api_base,
@@ -116,6 +114,8 @@ class AnthropicMultiModal(MultiModalLLM):
system_promt=system_prompt,
**kwargs,
)
+ self._messages_to_prompt = messages_to_prompt or generic_messages_to_prompt
+ self._completion_to_prompt = completion_to_prompt or (lambda x: x)
self._http_client = http_client
self._client, self._aclient = self._get_clients(**kwargs)
diff --git a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-anthropic/pyproject.toml b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-anthropic/pyproject.toml
index da57c94459a47512a0a14fb021380aeb05fc0abc..22bb05648922637a1a10328dab4e8140f0160fbc 100644
--- a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-anthropic/pyproject.toml
+++ b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-anthropic/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-multi-modal-llms-anthropic"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
anthropic = ">=0.26.2, <0.29.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-anthropic/tests/test_multi-modal-llms_anthropic.py b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-anthropic/tests/test_multi-modal-llms_anthropic.py
index 0d401ff2ffb83d8b637e44145b1a883790651428..6645471d7e52f9406e6c398fc49e18c3ef67802a 100644
--- a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-anthropic/tests/test_multi-modal-llms_anthropic.py
+++ b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-anthropic/tests/test_multi-modal-llms_anthropic.py
@@ -5,3 +5,8 @@ from llama_index.multi_modal_llms.anthropic import AnthropicMultiModal
def test_embedding_class():
names_of_base_classes = [b.__name__ for b in AnthropicMultiModal.__mro__]
assert MultiModalLLM.__name__ in names_of_base_classes
+
+
+def test_init():
+ m = AnthropicMultiModal(max_tokens=400)
+ assert m.max_tokens == 400
diff --git a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-azure-openai/pyproject.toml b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-azure-openai/pyproject.toml
index 4a8a035f6bb19516f982cb2d953b456f95352bae..d4d658d8fe5b53bb07944bc4d783df068cbef59b 100644
--- a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-azure-openai/pyproject.toml
+++ b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-azure-openai/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-multi-modal-llms-azure-openai"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-azure-openai = "^0.1.1"
-llama-index-multi-modal-llms-openai = "^0.1.1"
+llama-index-llms-azure-openai = "^0.2.0"
+llama-index-multi-modal-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-azure-openai/tests/test_multi-modal-llms_azure_openai.py b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-azure-openai/tests/test_multi-modal-llms_azure_openai.py
index bce54dfc8319bf087dcf74dd97d81feff7fc81cf..81071c93f0f769d1ead0a44c1b76a0056bd16f84 100644
--- a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-azure-openai/tests/test_multi-modal-llms_azure_openai.py
+++ b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-azure-openai/tests/test_multi-modal-llms_azure_openai.py
@@ -5,3 +5,8 @@ from llama_index.multi_modal_llms.azure_openai import AzureOpenAIMultiModal
def test_embedding_class():
names_of_base_classes = [b.__name__ for b in AzureOpenAIMultiModal.__mro__]
assert MultiModalLLM.__name__ in names_of_base_classes
+
+
+def test_init():
+ m = AzureOpenAIMultiModal(max_new_tokens=400, engine="fake", api_key="fake")
+ assert m.max_new_tokens == 400
diff --git a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/llama_index/multi_modal_llms/dashscope/base.py b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/llama_index/multi_modal_llms/dashscope/base.py
index 3fc386e817698ab6638c58efcb1333d043eb4026..a020f64c1208eeb438e80f1e01ef6d162a936deb 100644
--- a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/llama_index/multi_modal_llms/dashscope/base.py
+++ b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/llama_index/multi_modal_llms/dashscope/base.py
@@ -87,7 +87,7 @@ class DashScopeMultiModal(MultiModalLLM):
seed: Optional[int] = Field(
description="Random seed when generate.", default=1234, gte=0
)
- api_key: str = Field(
+ api_key: Optional[str] = Field(
default=None, description="The DashScope API key.", exclude=True
)
diff --git a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/pyproject.toml b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/pyproject.toml
index ee2f2331a09efbede8c3fb16e270e45b080737b9..5cd06596e9601f2aecc0117c32ba90d28859a031 100644
--- a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/pyproject.toml
+++ b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-multi-modal-llms-dashscope"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
dashscope = "^1.14.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/tests/test_multi_modal_llms_dashscope.py b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/tests/test_multi_modal_llms_dashscope.py
index c31c4173d72b39f52fee9f1123dbe80ade345066..a95827b256683a0ebe3d88aa349e1888e11b97f1 100644
--- a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/tests/test_multi_modal_llms_dashscope.py
+++ b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/tests/test_multi_modal_llms_dashscope.py
@@ -5,3 +5,8 @@ from llama_index.multi_modal_llms.dashscope import DashScopeMultiModal
def test_class():
names_of_base_classes = [b.__name__ for b in DashScopeMultiModal.__mro__]
assert MultiModalLLM.__name__ in names_of_base_classes
+
+
+def test_init():
+ m = DashScopeMultiModal(top_k=2)
+ assert m.top_k == 2
diff --git a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-gemini/llama_index/multi_modal_llms/gemini/base.py b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-gemini/llama_index/multi_modal_llms/gemini/base.py
index 215b07d93c198201e758b084b3311641cb2d8123..c1f5966dc1bfb71b037a24e10da6ae185d45ac66 100644
--- a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-gemini/llama_index/multi_modal_llms/gemini/base.py
+++ b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-gemini/llama_index/multi_modal_llms/gemini/base.py
@@ -1,4 +1,5 @@
"""Google's Gemini multi-modal models."""
+
import os
from typing import Any, Dict, Optional, Sequence, Tuple
@@ -113,15 +114,15 @@ class GeminiMultiModal(MultiModalLLM):
f"Available models are: {GEMINI_MM_MODELS}"
)
- self._model = genai.GenerativeModel(
+ model = genai.GenerativeModel(
model_name=model_name,
generation_config=final_gen_config,
safety_settings=safety_settings,
)
- self._model_meta = genai.get_model(model_name)
+ model_meta = genai.get_model(model_name)
- supported_methods = self._model_meta.supported_generation_methods
+ supported_methods = model_meta.supported_generation_methods
if "generateContent" not in supported_methods:
raise ValueError(
f"Model {model_name} does not support content generation, only "
@@ -129,9 +130,9 @@ class GeminiMultiModal(MultiModalLLM):
)
if not max_tokens:
- max_tokens = self._model_meta.output_token_limit
+ max_tokens = model_meta.output_token_limit
else:
- max_tokens = min(max_tokens, self._model_meta.output_token_limit)
+ max_tokens = min(max_tokens, model_meta.output_token_limit)
super().__init__(
model_name=model_name,
@@ -140,6 +141,8 @@ class GeminiMultiModal(MultiModalLLM):
generate_kwargs=generate_kwargs,
callback_manager=callback_manager,
)
+ self._model = model
+ self._model_meta = model_meta
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-gemini/pyproject.toml b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-gemini/pyproject.toml
index e9534be0c55800748427d61523a88927212ee483..3dbb459abe644b460ad81432e75bda101062b680 100644
--- a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-gemini/pyproject.toml
+++ b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-gemini/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-multi-modal-llms-gemini"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.11.post1"
-llama-index-llms-gemini = "^0.2.0"
+llama-index-llms-gemini = "^0.3.0"
pillow = "^10.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-ollama/pyproject.toml b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-ollama/pyproject.toml
index 65a021d3cc80babb41f458657fc886b1c2abbe6c..332466d21c1c3a2cf5f1aa70a83fe23f644b69c6 100644
--- a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-ollama/pyproject.toml
+++ b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-ollama/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-multi-modal-llms-ollama"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
ollama = "^0.1.6"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-openai/llama_index/multi_modal_llms/openai/base.py b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-openai/llama_index/multi_modal_llms/openai/base.py
index 9c94bc730348afa657928ea6cca2d031b78be7a2..0b2a7d539c24cb983087781e277d9697cebec907 100644
--- a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-openai/llama_index/multi_modal_llms/openai/base.py
+++ b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-openai/llama_index/multi_modal_llms/openai/base.py
@@ -74,7 +74,7 @@ class OpenAIMultiModal(MultiModalLLM):
additional_kwargs: Dict[str, Any] = Field(
default_factory=dict, description="Additional kwargs for the OpenAI API."
)
- default_headers: Dict[str, str] = Field(
+ default_headers: Optional[Dict[str, str]] = Field(
default=None, description="The default headers for API requests."
)
@@ -104,8 +104,6 @@ class OpenAIMultiModal(MultiModalLLM):
http_client: Optional[httpx.Client] = None,
**kwargs: Any,
) -> None:
- self._messages_to_prompt = messages_to_prompt or generic_messages_to_prompt
- self._completion_to_prompt = completion_to_prompt or (lambda x: x)
api_key, api_base, api_version = resolve_openai_credentials(
api_key=api_key,
api_base=api_base,
@@ -128,6 +126,8 @@ class OpenAIMultiModal(MultiModalLLM):
default_headers=default_headers,
**kwargs,
)
+ self._messages_to_prompt = messages_to_prompt or generic_messages_to_prompt
+ self._completion_to_prompt = completion_to_prompt or (lambda x: x)
self._http_client = http_client
self._client, self._aclient = self._get_clients(**kwargs)
diff --git a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-openai/pyproject.toml b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-openai/pyproject.toml
index c4d50eb668f09cc6a57c0ad48f010ecebe74f2bd..f57977bfc356c2aac8463bd3c55c9baf1b763d6e 100644
--- a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-openai/pyproject.toml
+++ b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-openai/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-multi-modal-llms-openai"
readme = "README.md"
-version = "0.1.9"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-openai = "^0.1.1"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-replicate/llama_index/multi_modal_llms/replicate/base.py b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-replicate/llama_index/multi_modal_llms/replicate/base.py
index 734c9a3e9fc9e3034ff0b6cb4d7c310247f8896c..eab3c7b58954978214129610fbf91672b65030c7 100644
--- a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-replicate/llama_index/multi_modal_llms/replicate/base.py
+++ b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-replicate/llama_index/multi_modal_llms/replicate/base.py
@@ -76,9 +76,6 @@ class ReplicateMultiModal(MultiModalLLM):
completion_to_prompt: Optional[Callable] = None,
callback_manager: Optional[CallbackManager] = None,
) -> None:
- self._messages_to_prompt = messages_to_prompt or generic_messages_to_prompt
- self._completion_to_prompt = completion_to_prompt or (lambda x: x)
-
super().__init__(
model=model,
temperature=temperature,
@@ -93,6 +90,8 @@ class ReplicateMultiModal(MultiModalLLM):
image_key=image_key,
callback_manager=callback_manager,
)
+ self._messages_to_rompt = messages_to_prompt or generic_messages_to_prompt
+ self._completion_to_prompt = completion_to_prompt or (lambda x: x)
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-replicate/pyproject.toml b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-replicate/pyproject.toml
index 204b373bdfe1f3b321638cfc66d2cc33c87b4dff..47e493a41bb10d04fbe52e246298dfda32041eb3 100644
--- a/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-replicate/pyproject.toml
+++ b/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-replicate/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-multi-modal-llms-replicate"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/node_parser/llama-index-node-parser-relational-dashscope/pyproject.toml b/llama-index-integrations/node_parser/llama-index-node-parser-relational-dashscope/pyproject.toml
index 1a76dfcbae93a4eb613dcb9dfdd4f84d939dd43c..24778036e643f19f4773e8871cf7725f453ebc30 100644
--- a/llama-index-integrations/node_parser/llama-index-node-parser-relational-dashscope/pyproject.toml
+++ b/llama-index-integrations/node_parser/llama-index-node-parser-relational-dashscope/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-node-parser-dashscope"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.2"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
requests = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/output_parsers/llama-index-output-parsers-guardrails/pyproject.toml b/llama-index-integrations/output_parsers/llama-index-output-parsers-guardrails/pyproject.toml
index ed883e78a22ae91063d8240452b76118252bc2a1..0047a30a2c6aaf9744fb87cc64ee97da92d9a805 100644
--- a/llama-index-integrations/output_parsers/llama-index-output-parsers-guardrails/pyproject.toml
+++ b/llama-index-integrations/output_parsers/llama-index-output-parsers-guardrails/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-output-parsers-guardrails"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
guardrails-ai = "^0.4.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/output_parsers/llama-index-output-parsers-langchain/pyproject.toml b/llama-index-integrations/output_parsers/llama-index-output-parsers-langchain/pyproject.toml
index 3af56f6cc4faca69ee6a8b2f22742447babfdc48..899629c3485db3c12e1287ba296c204cb838334e 100644
--- a/llama-index-integrations/output_parsers/llama-index-output-parsers-langchain/pyproject.toml
+++ b/llama-index-integrations/output_parsers/llama-index-output-parsers-langchain/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-output-parsers-langchain"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-cohere-rerank/llama_index/postprocessor/cohere_rerank/base.py b/llama-index-integrations/postprocessor/llama-index-postprocessor-cohere-rerank/llama_index/postprocessor/cohere_rerank/base.py
index 42204b5ebe064bdaedf2a21680bdf2a66eabb296..2bf01a00ded9cb00bf7c6878c25ffc36a48f686b 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-cohere-rerank/llama_index/postprocessor/cohere_rerank/base.py
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-cohere-rerank/llama_index/postprocessor/cohere_rerank/base.py
@@ -26,6 +26,7 @@ class CohereRerank(BaseNodePostprocessor):
model: str = "rerank-english-v2.0",
api_key: Optional[str] = None,
):
+ super().__init__(top_n=top_n, model=model)
try:
api_key = api_key or os.environ["COHERE_API_KEY"]
except IndexError:
@@ -41,7 +42,6 @@ class CohereRerank(BaseNodePostprocessor):
)
self._client = Client(api_key=api_key)
- super().__init__(top_n=top_n, model=model)
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-cohere-rerank/pyproject.toml b/llama-index-integrations/postprocessor/llama-index-postprocessor-cohere-rerank/pyproject.toml
index 7ea29b2b58d2af5ca3c5aa23af5535834ad853ec..66ee4d94558ffecf8140f3fcd16d118cf6d7766d 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-cohere-rerank/pyproject.toml
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-cohere-rerank/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-postprocessor-cohere-rerank"
readme = "README.md"
-version = "0.1.8"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.41"
cohere = "^5.1.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-colbert-rerank/llama_index/postprocessor/colbert_rerank/base.py b/llama-index-integrations/postprocessor/llama-index-postprocessor-colbert-rerank/llama_index/postprocessor/colbert_rerank/base.py
index b9c6daa14196a1039a6d4ad6059ffc2d893288c9..4547023bf61ba23892ab548667ab1c12fac38ac5 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-colbert-rerank/llama_index/postprocessor/colbert_rerank/base.py
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-colbert-rerank/llama_index/postprocessor/colbert_rerank/base.py
@@ -42,15 +42,13 @@ class ColbertRerank(BaseNodePostprocessor):
keep_retrieval_score: Optional[bool] = False,
):
device = infer_torch_device() if device is None else device
- self._tokenizer = AutoTokenizer.from_pretrained(tokenizer)
- self._model = AutoModel.from_pretrained(model)
super().__init__(
top_n=top_n,
- model=model,
- tokenizer=tokenizer,
device=device,
keep_retrieval_score=keep_retrieval_score,
)
+ self._tokenizer = AutoTokenizer.from_pretrained(tokenizer)
+ self._model = AutoModel.from_pretrained(model)
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-colbert-rerank/pyproject.toml b/llama-index-integrations/postprocessor/llama-index-postprocessor-colbert-rerank/pyproject.toml
index 69c3c4364fc1000d3f640c7e9c692b75f30b8468..969685f4709c90c9399a4d8578f0ee0f5dbca4ef 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-colbert-rerank/pyproject.toml
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-colbert-rerank/pyproject.toml
@@ -31,13 +31,13 @@ license = "MIT"
name = "llama-index-postprocessor-colbert-rerank"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.41"
torch = "^2.2.0"
transformers = "^4.37.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-dashscope-rerank/pyproject.toml b/llama-index-integrations/postprocessor/llama-index-postprocessor-dashscope-rerank/pyproject.toml
index f5a1705b062d9a8f8c6c61dc56c124a7c60302a3..dc8e751fad9451a33a0dc85eb2fcee1ab36c84f4 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-dashscope-rerank/pyproject.toml
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-dashscope-rerank/pyproject.toml
@@ -28,12 +28,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-postprocessor-dashscope-rerank"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.41"
dashscope = ">=1.17.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-flag-embedding-reranker/llama_index/postprocessor/flag_embedding_reranker/base.py b/llama-index-integrations/postprocessor/llama-index-postprocessor-flag-embedding-reranker/llama_index/postprocessor/flag_embedding_reranker/base.py
index fe0d653a1b084504801b155bed47195fd25f520e..faa7bfe93120ec34f938eb52c4910dbebe2f3e2d 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-flag-embedding-reranker/llama_index/postprocessor/flag_embedding_reranker/base.py
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-flag-embedding-reranker/llama_index/postprocessor/flag_embedding_reranker/base.py
@@ -27,6 +27,7 @@ class FlagEmbeddingReranker(BaseNodePostprocessor):
model: str = "BAAI/bge-reranker-large",
use_fp16: bool = False,
) -> None:
+ super().__init__(top_n=top_n, model=model, use_fp16=use_fp16)
try:
from FlagEmbedding import FlagReranker
except ImportError:
@@ -38,7 +39,6 @@ class FlagEmbeddingReranker(BaseNodePostprocessor):
model,
use_fp16=use_fp16,
)
- super().__init__(top_n=top_n, model=model, use_fp16=use_fp16)
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-flag-embedding-reranker/pyproject.toml b/llama-index-integrations/postprocessor/llama-index-postprocessor-flag-embedding-reranker/pyproject.toml
index 2d11b562e649a84656117d98e041dedd4e741694..02fa4c98cdff72f81e512977c0c0100eeca39188 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-flag-embedding-reranker/pyproject.toml
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-flag-embedding-reranker/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-postprocessor-flag-embedding-reranker"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.41"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-jinaai-rerank/pyproject.toml b/llama-index-integrations/postprocessor/llama-index-postprocessor-jinaai-rerank/pyproject.toml
index 39570929541c34558daf298f74ffcfb4a5260d5f..a197db3f066ffa55d81bf4a54e49251de6c43544 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-jinaai-rerank/pyproject.toml
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-jinaai-rerank/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-postprocessor-jinaai-rerank"
readme = "README.md"
-version = "0.1.7"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.41"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-longllmlingua/llama_index/postprocessor/longllmlingua/base.py b/llama-index-integrations/postprocessor/llama-index-postprocessor-longllmlingua/llama_index/postprocessor/longllmlingua/base.py
index 48ce3e3e010a58cbfc79d74b2c1b6f2b8e56819d..ead377a9d6187937a88257d37af8dc4590e1ff3f 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-longllmlingua/llama_index/postprocessor/longllmlingua/base.py
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-longllmlingua/llama_index/postprocessor/longllmlingua/base.py
@@ -1,4 +1,5 @@
"""Optimization related classes and functions."""
+
import logging
from typing import Any, Dict, List, Optional
@@ -50,6 +51,14 @@ class LongLLMLinguaPostprocessor(BaseNodePostprocessor):
"""LongLLMLingua Compressor for Node Context."""
from llmlingua import PromptCompressor
+ super().__init__(
+ metadata_mode=metadata_mode,
+ instruction_str=instruction_str,
+ target_token=target_token,
+ rank_method=rank_method,
+ additional_compress_kwargs=additional_compress_kwargs,
+ )
+
open_api_config = open_api_config or {}
additional_compress_kwargs = additional_compress_kwargs or {}
@@ -59,13 +68,6 @@ class LongLLMLinguaPostprocessor(BaseNodePostprocessor):
model_config=model_config,
open_api_config=open_api_config,
)
- super().__init__(
- metadata_mode=metadata_mode,
- instruction_str=instruction_str,
- target_token=target_token,
- rank_method=rank_method,
- additional_compress_kwargs=additional_compress_kwargs,
- )
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-longllmlingua/pyproject.toml b/llama-index-integrations/postprocessor/llama-index-postprocessor-longllmlingua/pyproject.toml
index 445ac4458258dd8a3c83bff6c2624f6ad9a20e08..734dee2f3910b9f483938c78e4b983f48f9a7f16 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-longllmlingua/pyproject.toml
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-longllmlingua/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-postprocessor-longllmlingua"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-mixedbreadai-rerank/llama_index/postprocessor/mixedbreadai_rerank/base.py b/llama-index-integrations/postprocessor/llama-index-postprocessor-mixedbreadai-rerank/llama_index/postprocessor/mixedbreadai_rerank/base.py
index af21e9b7d42e42baf071fcc202a03ba9419d604c..5813e5309d1494b5b52db5d7d7b1a04844bd6b36 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-mixedbreadai-rerank/llama_index/postprocessor/mixedbreadai_rerank/base.py
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-mixedbreadai-rerank/llama_index/postprocessor/mixedbreadai_rerank/base.py
@@ -52,6 +52,7 @@ class MixedbreadAIRerank(BaseNodePostprocessor):
httpx_client: Optional[httpx.Client] = None,
httpx_async_client: Optional[httpx.AsyncClient] = None,
):
+ super().__init__(top_n=top_n, model=model)
try:
api_key = api_key or os.environ["MXBAI_API_KEY"]
except KeyError:
@@ -70,8 +71,6 @@ class MixedbreadAIRerank(BaseNodePostprocessor):
RequestOptions(max_retries=max_retries) if max_retries is not None else None
)
- super().__init__(top_n=top_n, model=model)
-
@classmethod
def class_name(cls) -> str:
return "MixedbreadAIRerank"
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-mixedbreadai-rerank/pyproject.toml b/llama-index-integrations/postprocessor/llama-index-postprocessor-mixedbreadai-rerank/pyproject.toml
index a8212e55c96333b8b1338475d782b8e240d9c60d..b0cd43cceba3415076b7133c1bd8cc0187ac5981 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-mixedbreadai-rerank/pyproject.toml
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-mixedbreadai-rerank/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-postprocessor-mixedbreadai-rerank"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
mixedbread-ai = "^2.2.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-nvidia-rerank/README.md b/llama-index-integrations/postprocessor/llama-index-postprocessor-nvidia-rerank/README.md
index 78a33a3c88e06351e216ed3c91b1158b8be74dd5..961f2eceb9a4e1c585c63fedcbff5d9bfae52178 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-nvidia-rerank/README.md
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-nvidia-rerank/README.md
@@ -103,9 +103,3 @@ nodes = parser.get_nodes_from_documents(documents)
# rerank
rerank.postprocess_nodes(nodes, query_str=query)
```
-
-## Truncation
-
-Ranking models have a maximum input size. It is likely that input documents will
-exceed these limits. To let the server-side shorten input so that it stays within
-the limits, pass `truncate="END"` when constructing an NVIDIARerank instance.
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-nvidia-rerank/llama_index/postprocessor/nvidia_rerank/base.py b/llama-index-integrations/postprocessor/llama-index-postprocessor-nvidia-rerank/llama_index/postprocessor/nvidia_rerank/base.py
index 28e1365871b3eb36932396fb3a84ef5ad2c83ca0..4fb5f17eaf4b23bfcf41e4f9f3fdabd27cf30ea2 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-nvidia-rerank/llama_index/postprocessor/nvidia_rerank/base.py
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-nvidia-rerank/llama_index/postprocessor/nvidia_rerank/base.py
@@ -1,7 +1,7 @@
-from typing import Any, List, Optional, Literal, Generator
+from typing import Any, List, Optional, Generator, Literal
from urllib.parse import urlparse, urlunparse
-from llama_index.core.bridge.pydantic import Field, PrivateAttr, BaseModel
+from llama_index.core.bridge.pydantic import Field, PrivateAttr, BaseModel, ConfigDict
from llama_index.core.callbacks import CBEventType, EventPayload
from llama_index.core.instrumentation import get_dispatcher
from llama_index.core.instrumentation.events.rerank import (
@@ -32,9 +32,7 @@ class Model(BaseModel):
class NVIDIARerank(BaseNodePostprocessor):
"""NVIDIA's API Catalog Reranker Connector."""
- class Config:
- validate_assignment = True
-
+ model_config = ConfigDict(validate_assignment=True)
model: Optional[str] = Field(
default=DEFAULT_MODEL,
description="The NVIDIA API Catalog reranker to use.",
@@ -55,6 +53,7 @@ class NVIDIARerank(BaseNodePostprocessor):
"Default is model dependent and is likely to raise error if an "
"input is too long."
),
+ default=None,
)
_api_key: str = PrivateAttr("NO_API_KEY_PROVIDED") # TODO: should be SecretStr
_mode: str = PrivateAttr("nvidia")
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-nvidia-rerank/pyproject.toml b/llama-index-integrations/postprocessor/llama-index-postprocessor-nvidia-rerank/pyproject.toml
index 9e2225ede357fec998c43bb2a15ba5020c443215..30931c793ba2f8d933f03b70c72e53121a786f4d 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-nvidia-rerank/pyproject.toml
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-nvidia-rerank/pyproject.toml
@@ -30,11 +30,11 @@ license = "MIT"
name = "llama-index-postprocessor-nvidia-rerank"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.2.1"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.41"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-openvino-rerank/llama_index/postprocessor/openvino_rerank/base.py b/llama-index-integrations/postprocessor/llama-index-postprocessor-openvino-rerank/llama_index/postprocessor/openvino_rerank/base.py
index 3cc576c3a48506babb76100af5c43eccbff06394..5b0501cbd4fb27e3006dfa97fd0fe07ad9c85519 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-openvino-rerank/llama_index/postprocessor/openvino_rerank/base.py
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-openvino-rerank/llama_index/postprocessor/openvino_rerank/base.py
@@ -40,6 +40,12 @@ class OpenVINORerank(BaseNodePostprocessor):
keep_retrieval_score: Optional[bool] = False,
):
device = infer_torch_device() if device is None else device
+ super().__init__(
+ top_n=top_n,
+ model_id_or_path=model_id_or_path,
+ device=device,
+ keep_retrieval_score=keep_retrieval_score,
+ )
try:
from huggingface_hub import HfApi
@@ -97,12 +103,6 @@ class OpenVINORerank(BaseNodePostprocessor):
)
self._tokenizer = AutoTokenizer.from_pretrained(model_id_or_path)
- super().__init__(
- top_n=top_n,
- model_id_or_path=model_id_or_path,
- device=device,
- keep_retrieval_score=keep_retrieval_score,
- )
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-openvino-rerank/pyproject.toml b/llama-index-integrations/postprocessor/llama-index-postprocessor-openvino-rerank/pyproject.toml
index 01f2e883e92aacae4dd2cbfcaa8594a5655e21d2..4809acb3262ad2334ea72e7065b35fd44d8829a9 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-openvino-rerank/pyproject.toml
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-openvino-rerank/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-postprocessor-openvino-rerank"
readme = "README.md"
-version = "0.2.1"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.41"
huggingface-hub = "^0.23.0"
+llama-index-core = "^0.11.0"
[tool.poetry.dependencies.optimum]
extras = ["openvino"]
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-presidio/pyproject.toml b/llama-index-integrations/postprocessor/llama-index-postprocessor-presidio/pyproject.toml
index 4450b6139a3b8b0f3677b07b30efcc0e1912ab70..cccd4f02a19e0e2218021a10f3fd469f9a64f36b 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-presidio/pyproject.toml
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-presidio/pyproject.toml
@@ -28,13 +28,13 @@ license = "MIT"
maintainers = ["roeybc"]
name = "llama-index-postprocessor-presidio"
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
presidio-analyzer = "^2.2.353"
presidio-anonymizer = "^2.2.353"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-rankgpt-rerank/pyproject.toml b/llama-index-integrations/postprocessor/llama-index-postprocessor-rankgpt-rerank/pyproject.toml
index 652a930d57885f017cb7d9c3f8a04133fb2c4d63..c17e5c25c841e3675dabc0309be43ecb8f923100 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-rankgpt-rerank/pyproject.toml
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-rankgpt-rerank/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-postprocessor-rankgpt-rerank"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.41"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-rankllm-rerank/llama_index/postprocessor/rankllm_rerank/base.py b/llama-index-integrations/postprocessor/llama-index-postprocessor-rankllm-rerank/llama_index/postprocessor/rankllm_rerank/base.py
index 78048d227a27eb040f38deeaba192c51e4f28cac..74a136ac96227e10a81340c838c0a14ba174577b 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-rankllm-rerank/llama_index/postprocessor/rankllm_rerank/base.py
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-rankllm-rerank/llama_index/postprocessor/rankllm_rerank/base.py
@@ -46,6 +46,14 @@ class RankLLMRerank(BaseNodePostprocessor):
from rank_llm.result import Result
+ super().__init__(
+ model=model,
+ top_n=top_n,
+ with_retrieval=with_retrieval,
+ step_size=step_size,
+ gpt_model=gpt_model,
+ )
+
self._result = Result
if model_enum == ModelType.VICUNA:
@@ -75,14 +83,6 @@ class RankLLMRerank(BaseNodePostprocessor):
self._retriever = Retriever
- super().__init__(
- model=model,
- top_n=top_n,
- with_retrieval=with_retrieval,
- step_size=step_size,
- gpt_model=gpt_model,
- )
-
@classmethod
def class_name(cls) -> str:
return "RankLLMRerank"
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-rankllm-rerank/pyproject.toml b/llama-index-integrations/postprocessor/llama-index-postprocessor-rankllm-rerank/pyproject.toml
index b21d30854c532e1a290fc3539a5b2b8a3af1633d..9563817325aa7566cc89b2c52a6c632bf581f0f7 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-rankllm-rerank/pyproject.toml
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-rankllm-rerank/pyproject.toml
@@ -31,11 +31,11 @@ license = "MIT"
name = "llama-index-postprocessor-rankllm-rerank"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.41"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-sbert-rerank/llama_index/postprocessor/sbert_rerank/base.py b/llama-index-integrations/postprocessor/llama-index-postprocessor-sbert-rerank/llama_index/postprocessor/sbert_rerank/base.py
index 9165aa0768f9bc9a437287d0079ea79a2ec16779..2d4e71a0e0b370ad339f5e12dd6240216f2b8f33 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-sbert-rerank/llama_index/postprocessor/sbert_rerank/base.py
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-sbert-rerank/llama_index/postprocessor/sbert_rerank/base.py
@@ -43,16 +43,17 @@ class SentenceTransformerRerank(BaseNodePostprocessor):
"Cannot import sentence-transformers or torch package,",
"please `pip install torch sentence-transformers`",
)
- device = infer_torch_device() if device is None else device
- self._model = CrossEncoder(
- model, max_length=DEFAULT_SENTENCE_TRANSFORMER_MAX_LENGTH, device=device
- )
+
super().__init__(
top_n=top_n,
model=model,
device=device,
keep_retrieval_score=keep_retrieval_score,
)
+ device = infer_torch_device() if device is None else device
+ self._model = CrossEncoder(
+ model, max_length=DEFAULT_SENTENCE_TRANSFORMER_MAX_LENGTH, device=device
+ )
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-sbert-rerank/pyproject.toml b/llama-index-integrations/postprocessor/llama-index-postprocessor-sbert-rerank/pyproject.toml
index 3b410a50aa9bc43f82ced0957a08936470e70eab..9093ada61605c5c1893037f03606edc72c11c84e 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-sbert-rerank/pyproject.toml
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-sbert-rerank/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-postprocessor-sbert-rerank"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.41"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-tei-rerank/pyproject.toml b/llama-index-integrations/postprocessor/llama-index-postprocessor-tei-rerank/pyproject.toml
index 873ab38b34ceca902723ccd3e42ae04ad1e97b4f..36629ea132be4cd3d6d3549e971c436daa3b3cb2 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-tei-rerank/pyproject.toml
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-tei-rerank/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-postprocessor-tei-rerank"
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.58"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-voyageai-rerank/llama_index/postprocessor/voyageai_rerank/base.py b/llama-index-integrations/postprocessor/llama-index-postprocessor-voyageai-rerank/llama_index/postprocessor/voyageai_rerank/base.py
index 7a92a761bcd91bf9f8713800b4d00ef27f767b0f..090a91de9a7b984da0928fa699b212f28b7c5670 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-voyageai-rerank/llama_index/postprocessor/voyageai_rerank/base.py
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-voyageai-rerank/llama_index/postprocessor/voyageai_rerank/base.py
@@ -40,10 +40,9 @@ class VoyageAIRerank(BaseNodePostprocessor):
"Cannot import voyageai package, please `pip install voyageai`."
)
- self._client = Client(api_key=api_key)
-
top_n = top_n or top_k
super().__init__(top_n=top_n, model=model, truncation=truncation)
+ self._client = Client(api_key=api_key)
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/postprocessor/llama-index-postprocessor-voyageai-rerank/pyproject.toml b/llama-index-integrations/postprocessor/llama-index-postprocessor-voyageai-rerank/pyproject.toml
index 09f85ea756b314c22c660834331ed0178edc698a..be9fda4e3c270a0466cfb5ba5c45f0009515572b 100644
--- a/llama-index-integrations/postprocessor/llama-index-postprocessor-voyageai-rerank/pyproject.toml
+++ b/llama-index-integrations/postprocessor/llama-index-postprocessor-voyageai-rerank/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-postprocessor-voyageai-rerank"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.41"
voyageai = "^0.2.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/program/llama-index-program-evaporate/llama_index/program/evaporate/base.py b/llama-index-integrations/program/llama-index-program-evaporate/llama_index/program/evaporate/base.py
index 3850bf56b757081ede97dc8743b4ae94bef4a9cd..b22433706017eeef8b1aa154ba16f54b2dcbae60 100644
--- a/llama-index-integrations/program/llama-index-program-evaporate/llama_index/program/evaporate/base.py
+++ b/llama-index-integrations/program/llama-index-program-evaporate/llama_index/program/evaporate/base.py
@@ -5,7 +5,6 @@ from typing import Any, Dict, Generic, List, Optional, Type
import pandas as pd
from llama_index.core.llms import LLM
from llama_index.core.schema import BaseNode, TextNode
-from llama_index.core.service_context import ServiceContext
from llama_index.core.types import BasePydanticProgram, Model
from llama_index.core.utils import print_text
from llama_index.program.evaporate.df import (
@@ -60,7 +59,6 @@ class BaseEvaporateProgram(BasePydanticProgram, Generic[Model]):
fields_to_extract: Optional[List[str]] = None,
fields_context: Optional[Dict[str, Any]] = None,
llm: Optional[LLM] = None,
- service_context: Optional[ServiceContext] = None,
schema_id_prompt: Optional[SchemaIDPrompt] = None,
fn_generate_prompt: Optional[FnGeneratePrompt] = None,
field_extract_query_tmpl: str = DEFAULT_FIELD_EXTRACT_QUERY_TMPL,
@@ -70,7 +68,6 @@ class BaseEvaporateProgram(BasePydanticProgram, Generic[Model]):
"""Evaporate program."""
extractor = EvaporateExtractor(
llm=llm,
- service_context=service_context,
schema_id_prompt=schema_id_prompt,
fn_generate_prompt=fn_generate_prompt,
field_extract_query_tmpl=field_extract_query_tmpl,
@@ -206,7 +203,6 @@ class MultiValueEvaporateProgram(BaseEvaporateProgram[DataFrameValuesPerColumn])
fields_to_extract: Optional[List[str]] = None,
fields_context: Optional[Dict[str, Any]] = None,
llm: Optional[LLM] = None,
- service_context: Optional[ServiceContext] = None,
schema_id_prompt: Optional[SchemaIDPrompt] = None,
fn_generate_prompt: Optional[FnGeneratePrompt] = None,
field_extract_query_tmpl: str = DEFAULT_FIELD_EXTRACT_QUERY_TMPL,
@@ -219,7 +215,6 @@ class MultiValueEvaporateProgram(BaseEvaporateProgram[DataFrameValuesPerColumn])
fields_to_extract=fields_to_extract,
fields_context=fields_context,
llm=llm,
- service_context=service_context,
schema_id_prompt=schema_id_prompt,
fn_generate_prompt=fn_generate_prompt,
field_extract_query_tmpl=field_extract_query_tmpl,
diff --git a/llama-index-integrations/program/llama-index-program-evaporate/llama_index/program/evaporate/extractor.py b/llama-index-integrations/program/llama-index-program-evaporate/llama_index/program/evaporate/extractor.py
index 75587aa5aa717c98fc04fa1e3f5596338fb3a787..4759b4a9f8c0f72885d0e98a35279dd9554c38c7 100644
--- a/llama-index-integrations/program/llama-index-program-evaporate/llama_index/program/evaporate/extractor.py
+++ b/llama-index-integrations/program/llama-index-program-evaporate/llama_index/program/evaporate/extractor.py
@@ -7,8 +7,7 @@ from typing import Any, Dict, List, Optional, Set, Tuple
from llama_index.core.llms.llm import LLM
from llama_index.core.schema import BaseNode, MetadataMode, NodeWithScore, QueryBundle
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+from llama_index.core.settings import Settings
from llama_index.program.evaporate.prompts import (
DEFAULT_EXPECTED_OUTPUT_PREFIX_TMPL,
DEFAULT_FIELD_EXTRACT_QUERY_TMPL,
@@ -98,7 +97,6 @@ class EvaporateExtractor:
def __init__(
self,
llm: Optional[LLM] = None,
- service_context: Optional[ServiceContext] = None,
schema_id_prompt: Optional[SchemaIDPrompt] = None,
fn_generate_prompt: Optional[FnGeneratePrompt] = None,
field_extract_query_tmpl: str = DEFAULT_FIELD_EXTRACT_QUERY_TMPL,
@@ -107,7 +105,7 @@ class EvaporateExtractor:
) -> None:
"""Initialize params."""
# TODO: take in an entire index instead of forming a response builder
- self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+ self._llm = llm or Settings.llm
self._schema_id_prompt = schema_id_prompt or SCHEMA_ID_PROMPT
self._fn_generate_prompt = fn_generate_prompt or FN_GENERATION_PROMPT
self._field_extract_query_tmpl = field_extract_query_tmpl
diff --git a/llama-index-integrations/program/llama-index-program-evaporate/pyproject.toml b/llama-index-integrations/program/llama-index-program-evaporate/pyproject.toml
index 858fc64d6644e893e886e862eb0fc04ad6139260..62e9434d7a076f006d123dddf59795af85753040 100644
--- a/llama-index-integrations/program/llama-index-program-evaporate/pyproject.toml
+++ b/llama-index-integrations/program/llama-index-program-evaporate/pyproject.toml
@@ -27,12 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-program-evaporate"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-program-openai = "^0.1.1"
+llama-index-program-openai = "^0.2.0"
+pandas = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/program/llama-index-program-guidance/pyproject.toml b/llama-index-integrations/program/llama-index-program-guidance/pyproject.toml
index 7c236aac957f26eb929b80cf9d30407bbe32d935..f46ee94c7534a960763d0c3d258b5a684b50ff35 100644
--- a/llama-index-integrations/program/llama-index-program-guidance/pyproject.toml
+++ b/llama-index-integrations/program/llama-index-program-guidance/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-program-guidance"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
guidance = "^0.1.10"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/program/llama-index-program-lmformatenforcer/pyproject.toml b/llama-index-integrations/program/llama-index-program-lmformatenforcer/pyproject.toml
index f510d8df78a83b40cf1817b98fce5f5d197bf947..e890a39e21c5fd718bef7ed7657f6416af085b1d 100644
--- a/llama-index-integrations/program/llama-index-program-lmformatenforcer/pyproject.toml
+++ b/llama-index-integrations/program/llama-index-program-lmformatenforcer/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-program-lmformatenforcer"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-llama-cpp = "^0.1.1"
-llama-index-llms-huggingface = "^0.1.1"
+llama-index-llms-llama-cpp = "^0.2.0"
+llama-index-llms-huggingface = "^0.3.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/program/llama-index-program-openai/pyproject.toml b/llama-index-integrations/program/llama-index-program-openai/pyproject.toml
index e0034cf95a416cc383594796c33fef5a1b9e66b6..e3fa9d2b38376843cbaf667ef1832253bf36ec2b 100644
--- a/llama-index-integrations/program/llama-index-program-openai/pyproject.toml
+++ b/llama-index-integrations/program/llama-index-program-openai/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-program-openai"
readme = "README.md"
-version = "0.1.7"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-llms-openai = ">=0.1.1"
-llama-index-core = "^0.10.57"
-llama-index-agent-openai = ">=0.1.1,<0.3.0"
+llama-index-llms-openai = "^0.2.0"
+llama-index-agent-openai = "^0.3.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/question_gen/llama-index-question-gen-guidance/pyproject.toml b/llama-index-integrations/question_gen/llama-index-question-gen-guidance/pyproject.toml
index 7836f9ae0706d50443fbbc73d7513495d39e60d8..57c90bcb5239c46ab2d5cae571fd231302813417 100644
--- a/llama-index-integrations/question_gen/llama-index-question-gen-guidance/pyproject.toml
+++ b/llama-index-integrations/question_gen/llama-index-question-gen-guidance/pyproject.toml
@@ -27,12 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-question-gen-guidance"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
-python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-program-guidance = "^0.1.1"
+python = ">=3.9,<4.0"
+guidance = "^0.1.16"
+llama-index-program-guidance = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/question_gen/llama-index-question-gen-openai/pyproject.toml b/llama-index-integrations/question_gen/llama-index-question-gen-openai/pyproject.toml
index 51d644df3de0a1a670ff89ab5a421ab6d8f4adbf..7164db7aa16ae1a5c5070de09213e64b5f17f57d 100644
--- a/llama-index-integrations/question_gen/llama-index-question-gen-openai/pyproject.toml
+++ b/llama-index-integrations/question_gen/llama-index-question-gen-openai/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-question-gen-openai"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-program-openai = "^0.1.1"
-llama-index-llms-openai = "^0.1.1"
+llama-index-program-openai = "^0.2.0"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-agent-search/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-agent-search/pyproject.toml
index a37fdcdf848d1c96292caf51de189957b2c3075b..961dfedb1fa98c41226effdb970c4dd5f5c51d23 100644
--- a/llama-index-integrations/readers/llama-index-readers-agent-search/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-agent-search/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["emrgnt-cmplxty"]
name = "llama-index-readers-agent-search"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-agent-search/tests/BUILD b/llama-index-integrations/readers/llama-index-readers-agent-search/tests/BUILD
deleted file mode 100644
index 619cac15ff840dc1548d68cd4c394d33e65cb2d1..0000000000000000000000000000000000000000
--- a/llama-index-integrations/readers/llama-index-readers-agent-search/tests/BUILD
+++ /dev/null
@@ -1,3 +0,0 @@
-python_tests(
- interpreter_constraints=["==3.9.*", "==3.10.*"],
-)
diff --git a/llama-index-integrations/readers/llama-index-readers-agent-search/tests/__init__.py b/llama-index-integrations/readers/llama-index-readers-agent-search/tests/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/llama-index-integrations/readers/llama-index-readers-agent-search/tests/test_readers_agent_search.py b/llama-index-integrations/readers/llama-index-readers-agent-search/tests/test_readers_agent_search.py
deleted file mode 100644
index ef813930625859e5e07c7e02ffc3f2ca557105c9..0000000000000000000000000000000000000000
--- a/llama-index-integrations/readers/llama-index-readers-agent-search/tests/test_readers_agent_search.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from llama_index.core.readers.base import BaseReader
-from llama_index.readers.agent_search import AgentSearchReader
-
-
-def test_class():
- names_of_base_classes = [b.__name__ for b in AgentSearchReader.__mro__]
- assert BaseReader.__name__ in names_of_base_classes
diff --git a/llama-index-integrations/readers/llama-index-readers-airbyte-cdk/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-airbyte-cdk/pyproject.toml
index 70d38287f0015e1ec0473a07fb3196dd7144a086..f8ae6dc5bf9827039424aaa44fa9e698aad55469 100644
--- a/llama-index-integrations/readers/llama-index-readers-airbyte-cdk/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-airbyte-cdk/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["flash1293"]
name = "llama-index-readers-airbyte-cdk"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-airbyte-gong/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-airbyte-gong/pyproject.toml
index 31f8adbf48f92d38e35ef23df55779d09b269743..85b16517dc51d4f9e53e997fa8a7f7954cab14f4 100644
--- a/llama-index-integrations/readers/llama-index-readers-airbyte-gong/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-airbyte-gong/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["flash1293"]
name = "llama-index-readers-airbyte-gong"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-readers-airbyte-cdk = "^0.1.1"
+llama-index-readers-airbyte-cdk = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-airbyte-hubspot/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-airbyte-hubspot/pyproject.toml
index 843a78900a1f8b4b6ff604c59b8c66a20fb06c4e..40804215404236b3849cd557f1c16895bf4ed1e0 100644
--- a/llama-index-integrations/readers/llama-index-readers-airbyte-hubspot/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-airbyte-hubspot/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["flash1293"]
name = "llama-index-readers-airbyte-hubspot"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-readers-airbyte-cdk = "^0.1.1"
+llama-index-readers-airbyte-cdk = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-airbyte-salesforce/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-airbyte-salesforce/pyproject.toml
index c44275a523cf72d2586b15783067525510859be5..e1e7bb7806c621e65bd8047b2b73b2cf939a6b84 100644
--- a/llama-index-integrations/readers/llama-index-readers-airbyte-salesforce/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-airbyte-salesforce/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["flash1293"]
name = "llama-index-readers-airbyte-salesforce"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-readers-airbyte-cdk = "^0.1.1"
+llama-index-readers-airbyte-cdk = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-airbyte-shopify/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-airbyte-shopify/pyproject.toml
index edf810a3fbdeb433f2f8897410c585848b5f7003..ad9936fcb22359a66b3ce2648fe74bf5a54da433 100644
--- a/llama-index-integrations/readers/llama-index-readers-airbyte-shopify/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-airbyte-shopify/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["flash1293"]
name = "llama-index-readers-airbyte-shopify"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-readers-airbyte-cdk = "^0.1.1"
+llama-index-readers-airbyte-cdk = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-airbyte-stripe/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-airbyte-stripe/pyproject.toml
index 8f8d17ee13169fc063c0fa2ad028acc977fcd281..8507bde935ef8e590d0bb4cae482266cf1fcccca 100644
--- a/llama-index-integrations/readers/llama-index-readers-airbyte-stripe/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-airbyte-stripe/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["flash1293"]
name = "llama-index-readers-airbyte-stripe"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-readers-airbyte-cdk = "^0.1.1"
+llama-index-readers-airbyte-cdk = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-airbyte-typeform/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-airbyte-typeform/pyproject.toml
index e36927dd721f0d92415be4ae25ebcd525a5070bb..9727ed1058c2b715d826e77a12a972117b1a56c5 100644
--- a/llama-index-integrations/readers/llama-index-readers-airbyte-typeform/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-airbyte-typeform/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["flash1293"]
name = "llama-index-readers-airbyte-typeform"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-readers-airbyte-cdk = "^0.1.1"
+llama-index-readers-airbyte-cdk = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-airbyte-zendesk-support/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-airbyte-zendesk-support/pyproject.toml
index be5e94306c72d190939da2647e518a9de548c52e..a8ef410cb741d91d36694d70c3ef910c0eca2e98 100644
--- a/llama-index-integrations/readers/llama-index-readers-airbyte-zendesk-support/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-airbyte-zendesk-support/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["flash1293"]
name = "llama-index-readers-airbyte-zendesk-support"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-readers-airbyte-cdk = "^0.1.1"
+llama-index-readers-airbyte-cdk = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-airtable/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-airtable/pyproject.toml
index 29518dd7111a979501af350a3258cc441915ed3f..93f1b4889c38e80f3e3e945dee60967444c7be27 100644
--- a/llama-index-integrations/readers/llama-index-readers-airtable/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-airtable/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["smyja"]
name = "llama-index-readers-airtable"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pyairtable = "^2.2.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-apify/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-apify/pyproject.toml
index e705bcbc18119b14215ea22f7f5e63be3713cd62..8a91a9e9201bb8e7017d6fa5b7d0734deb76c5ff 100644
--- a/llama-index-integrations/readers/llama-index-readers-apify/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-apify/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
maintainers = ["drobnikj"]
name = "llama-index-readers-apify"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
apify-client = "^1.6.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-arango-db/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-arango-db/pyproject.toml
index 3a147a597cb61a99b70dcf70a5d90f8fcd5a5430..c92024b67ff45ec4cee39794eb4b8255a0643ec4 100644
--- a/llama-index-integrations/readers/llama-index-readers-arango-db/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-arango-db/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["mmaatouk"]
name = "llama-index-readers-arango-db"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
python-arango = "^7.9.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-asana/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-asana/pyproject.toml
index f174572ccced86ff988c0449a6ef6537f6d92196..91e5715cef27f39e6d3c444c708526c04f08174b 100644
--- a/llama-index-integrations/readers/llama-index-readers-asana/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-asana/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["daveey"]
name = "llama-index-readers-asana"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
asana = "^5.0.3"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-assemblyai/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-assemblyai/pyproject.toml
index b7646ac31df5b9e9c3bba1804cf7447516bbf506..9306a7bef0c965c2b795b855bcbed141bd186c00 100644
--- a/llama-index-integrations/readers/llama-index-readers-assemblyai/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-assemblyai/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["patrickloeber"]
name = "llama-index-readers-assemblyai"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
assemblyai = ">=0.18.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-astra-db/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-astra-db/pyproject.toml
index e6d9d4725cd768ebd540f5c94b87c62b53bfed48..ac28801c207456f580e94f0714b35012f0b1a6e3 100644
--- a/llama-index-integrations/readers/llama-index-readers-astra-db/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-astra-db/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["erichare"]
name = "llama-index-readers-astra-db"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
astrapy = "^1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-athena/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-athena/pyproject.toml
index 7a4043cd857b9cb7a4c8a74874877a4798f5bc6d..de041aa59264ba7d744e6debf0d48ae37ac26ab6 100644
--- a/llama-index-integrations/readers/llama-index-readers-athena/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-athena/pyproject.toml
@@ -29,14 +29,14 @@ license = "MIT"
maintainers = ["mattick27"]
name = "llama-index-readers-athena"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
boto3 = "^1.34.28"
sqlalchemy = "^2.0.25"
pyathena = "^3.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-awadb/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-awadb/pyproject.toml
index 1e80585d47186eb0273d49184ab20b86f52d2046..c7e27c2104b37f41d21896e5c7c08b62be0fa0d5 100644
--- a/llama-index-integrations/readers/llama-index-readers-awadb/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-awadb/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-readers-awadb"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-azcognitive-search/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-azcognitive-search/pyproject.toml
index e6b2c7a1d79271df19546d3e9ccffe527982191d..937e8d25ba9db65b4a952f12520fa43c53fffd6b 100644
--- a/llama-index-integrations/readers/llama-index-readers-azcognitive-search/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-azcognitive-search/pyproject.toml
@@ -28,13 +28,13 @@ license = "MIT"
maintainers = ["mrcabellom"]
name = "llama-index-readers-azcognitive-search"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
azure-search-documents = "^11.4.0"
azure-identity = "^1.15.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-azstorage-blob/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-azstorage-blob/pyproject.toml
index f81c2bfe6fa53d0363df5313269466153332d2b6..bd219ef9578826cd6a67247b712df8fea9007501 100644
--- a/llama-index-integrations/readers/llama-index-readers-azstorage-blob/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-azstorage-blob/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["rivms"]
name = "llama-index-readers-azstorage-blob"
readme = "README.md"
-version = "0.1.7"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
azure-storage-blob = "^12.19.0"
azure-identity = "^1.15.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-azure-devops/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-azure-devops/pyproject.toml
index 4dc03e02267b6175c78e5d625e55276fa89ca076..8439444878e081e5b6f565727fd87ab8a5cac48d 100644
--- a/llama-index-integrations/readers/llama-index-readers-azure-devops/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-azure-devops/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-readers-azure-devops"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
azure-devops = "7.1.0b4"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/readers/llama-index-readers-bagel/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-bagel/pyproject.toml
index cabf39bbcf3bbaa2d04b3aa38fccb1a63d51ad13..6fd8ee9eea95c3be044fde40035b08607d804403 100644
--- a/llama-index-integrations/readers/llama-index-readers-bagel/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-bagel/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["asif"]
name = "llama-index-readers-bagel"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
bagel = "^0.3.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-bilibili/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-bilibili/pyproject.toml
index 35965bd3ce91bd7608335509a423290465603f43..0f5db55b5f3b7a4327eba82cca2aed42c350fe2a 100644
--- a/llama-index-integrations/readers/llama-index-readers-bilibili/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-bilibili/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["alexzhangji"]
name = "llama-index-readers-bilibili"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-bitbucket/llama_index/readers/bitbucket/base.py b/llama-index-integrations/readers/llama-index-readers-bitbucket/llama_index/readers/bitbucket/base.py
index 0e08a682c2d13302e04e812b0db62dc41a36715b..065855b8e456383b787d7fb22658955bcd3b6e6f 100644
--- a/llama-index-integrations/readers/llama-index-readers-bitbucket/llama_index/readers/bitbucket/base.py
+++ b/llama-index-integrations/readers/llama-index-readers-bitbucket/llama_index/readers/bitbucket/base.py
@@ -66,13 +66,11 @@ class BitbucketReader(BaseReader):
slugs.append(self.repository)
return slugs
- def load_all_file_paths(self, slug, branch, directory_path="", paths=None):
+ def load_all_file_paths(self, slug, branch, directory_path="", paths=[]):
"""
- Go inside every path that is present in the repository and get the paths for each file.
+ Go inside every file that is present in the repository and get the paths for each file.
"""
- if paths is None:
- paths = []
- content_url = f"{self.base_url}/rest/api/latest/projects/{self.project_key}/repos/{slug}/browse{directory_path}"
+ content_url = f"{self.base_url}/rest/api/latest/projects/{self.project_key}/repos/{slug}/browse/{directory_path}"
query_params = {
"at": branch,
@@ -85,10 +83,7 @@ class BitbucketReader(BaseReader):
children = response["children"]
for value in children["values"]:
if value["type"] == "FILE":
- if (
- value["path"].get("extension") not in self.extensions_to_skip
- and value["size"] > 0
- ):
+ if value["path"]["extension"] not in self.extensions_to_skip:
paths.append(
{
"slug": slug,
@@ -105,7 +100,7 @@ class BitbucketReader(BaseReader):
def load_text_by_paths(self, slug, file_path, branch) -> List:
"""
- Go inside every file that is present in the repository and get the code in each file.
+ Go inside every file that is present in the repository and get the paths for each file.
"""
content_url = f"{self.base_url}/rest/api/latest/projects/{self.project_key}/repos/{slug}/browse{file_path}"
diff --git a/llama-index-integrations/readers/llama-index-readers-bitbucket/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-bitbucket/pyproject.toml
index 19a4d8625f51e7f189943dd237aeb098cba0f212..247ecccd2800fb164c13e787c59992a794614229 100644
--- a/llama-index-integrations/readers/llama-index-readers-bitbucket/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-bitbucket/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["lejdiprifti"]
name = "llama-index-readers-bitbucket"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-boarddocs/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-boarddocs/pyproject.toml
index e85044201e1227c7128e0696f3f2a582ed9f3fc5..1937f2780ebf766ccc37f68a07cd292132d99e1a 100644
--- a/llama-index-integrations/readers/llama-index-readers-boarddocs/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-boarddocs/pyproject.toml
@@ -29,14 +29,14 @@ license = "MIT"
maintainers = ["dweekly"]
name = "llama-index-readers-boarddocs"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
beautifulsoup4 = ">=4.12.3,<5.0.0"
html2text = "^2020.1.16"
requests = "^2.31.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-box/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-box/pyproject.toml
index ddf497d9028ef9bd6e3abac488fe6db4bd7b804d..b9180d32cc7c5e566707a3ce092786d40fd3282b 100644
--- a/llama-index-integrations/readers/llama-index-readers-box/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-box/pyproject.toml
@@ -37,12 +37,12 @@ maintainers = [
name = "llama-index-readers-box"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
box-sdk-gen = "^1.0.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/readers/llama-index-readers-chatgpt-plugin/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-chatgpt-plugin/pyproject.toml
index d2a549d1a7e2313456fd326b932628a1d90443a0..8e9a2e6c6c767903aa112198383ef3b233f4cab9 100644
--- a/llama-index-integrations/readers/llama-index-readers-chatgpt-plugin/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-chatgpt-plugin/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-readers-chatgpt-plugin"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-chroma/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-chroma/pyproject.toml
index 0bf7f456f0dd0659c336b44bb881157e990d6f23..f7e0fe7adf2918ffd3cc7275c79fc18f886d276b 100644
--- a/llama-index-integrations/readers/llama-index-readers-chroma/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-chroma/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["atroyn"]
name = "llama-index-readers-chroma"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
chromadb = "^0.4.22"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-clickhouse/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-clickhouse/pyproject.toml
index a0e72ecb75039a04f26186cc70e7f7b0fd3828ba..89b457da31f436b39a1d1a501475b365082e2141 100644
--- a/llama-index-integrations/readers/llama-index-readers-clickhouse/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-clickhouse/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-readers-clickhouse"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "0.10.0"
clickhouse-connect = "^0.7.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-confluence/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-confluence/pyproject.toml
index 4c11777ca9550a6cfcb88325aada104038450322..e75ffffa31bbcdd019a4a2a05dd6764467288749 100644
--- a/llama-index-integrations/readers/llama-index-readers-confluence/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-confluence/pyproject.toml
@@ -28,11 +28,10 @@ license = "MIT"
maintainers = ["zywilliamli"]
name = "llama-index-readers-confluence"
readme = "README.md"
-version = "0.1.7"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
atlassian-python-api = "^3.41.9"
html2text = "^2020.1.16"
pytesseract = "^0.3.10"
@@ -42,6 +41,7 @@ docx2txt = "^0.8"
xlrd = "^2.0.1"
svglib = "^1.5.1"
retrying = "^1.3.4"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-couchbase/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-couchbase/pyproject.toml
index 88e102aace7a3633d3f809a3aec3fe6537c7c6ba..78daceab669048cd98da90cfbb251ab00cd417d1 100644
--- a/llama-index-integrations/readers/llama-index-readers-couchbase/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-couchbase/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["nithishr"]
name = "llama-index-readers-couchbase"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
couchbase = "^4.1.11"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-couchdb/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-couchdb/pyproject.toml
index 86cae1f718e88fb1e308ba8c72f8b440bef729b2..7af950d4a8ce557819a1e16a66dad054977427f8 100644
--- a/llama-index-integrations/readers/llama-index-readers-couchdb/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-couchdb/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["technosophy"]
name = "llama-index-readers-couchdb"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
couchdb3 = "^1.2.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-dad-jokes/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-dad-jokes/pyproject.toml
index 9b7fec00b1332a7aa0c9a251f893f7d8d7a28182..2646c98c663eb086a163d794f5be6e58ccd0c42f 100644
--- a/llama-index-integrations/readers/llama-index-readers-dad-jokes/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-dad-jokes/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["sidu"]
name = "llama-index-readers-dad-jokes"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-dashscope/llama_index/readers/dashscope/base.py b/llama-index-integrations/readers/llama-index-readers-dashscope/llama_index/readers/dashscope/base.py
index 192e84f9c9d24fb2d722deda7cd34ae31ab51ea4..cbb150c276038d336f85202d7ca0fdd97f8364e4 100644
--- a/llama-index-integrations/readers/llama-index-readers-dashscope/llama_index/readers/dashscope/base.py
+++ b/llama-index-integrations/readers/llama-index-readers-dashscope/llama_index/readers/dashscope/base.py
@@ -14,7 +14,7 @@ from tenacity import (
from typing import List, Optional, Union
from llama_index.core.async_utils import run_jobs
-from llama_index.core.bridge.pydantic import Field, validator
+from llama_index.core.bridge.pydantic import Field, field_validator
from llama_index.core.readers.base import BasePydanticReader
from llama_index.core.schema import Document
from llama_index.readers.dashscope.utils import *
@@ -86,7 +86,7 @@ class DashScopeParse(BasePydanticReader):
description="Whether or not to return parsed text content.",
)
- @validator("api_key", pre=True, always=True)
+ @field_validator("api_key", mode="before")
def validate_api_key(cls, v: str) -> str:
"""Validate the API key."""
if not v:
@@ -99,7 +99,7 @@ class DashScopeParse(BasePydanticReader):
return v
- @validator("workspace_id", pre=True, always=True)
+ @field_validator("workspace_id", mode="before")
def validate_workspace_id(cls, v: str) -> str:
"""Validate the Workspace."""
if not v:
@@ -109,7 +109,7 @@ class DashScopeParse(BasePydanticReader):
return v
- @validator("category_id", pre=True, always=True)
+ @field_validator("category_id", mode="before")
def validate_category_id(cls, v: str) -> str:
"""Validate the category."""
if not v:
@@ -118,7 +118,7 @@ class DashScopeParse(BasePydanticReader):
return os.getenv("DASHSCOPE_CATEGORY_ID", DASHSCOPE_DEFAULT_DC_CATEGORY)
return v
- @validator("base_url", pre=True, always=True)
+ @field_validator("base_url", mode="before")
def validate_base_url(cls, v: str) -> str:
"""Validate the base URL."""
if v and v != DASHSCOPE_DEFAULT_BASE_URL:
diff --git a/llama-index-integrations/readers/llama-index-readers-dashscope/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-dashscope/pyproject.toml
index e2057c5bba128dc43aea817b36b8d41e97aa89c7..3d63efb2a9f67844a636a893ef579a1d38ae2c37 100644
--- a/llama-index-integrations/readers/llama-index-readers-dashscope/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-dashscope/pyproject.toml
@@ -30,13 +30,13 @@ license = "MIT"
name = "llama-index-readers-dashscope"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
oss2 = "^2.18.5"
retrying = "^1.3.4"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/readers/llama-index-readers-dashvector/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-dashvector/pyproject.toml
index 87a31e45961953583b10dac95ed34a9acd5bdb91..b4cd74ca907a9a24b0583fa387dddfb3cdf74a6f 100644
--- a/llama-index-integrations/readers/llama-index-readers-dashvector/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-dashvector/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-readers-dashvector"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
dashvector = "^1.0.9"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-database/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-database/pyproject.toml
index 8415275314aa423fc37c1759ae4faa1e10dd9af3..f7c2850ff78b9f9ffb8050feeaedd5308972d0c1 100644
--- a/llama-index-integrations/readers/llama-index-readers-database/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-database/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["kevinqz"]
name = "llama-index-readers-database"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-deeplake/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-deeplake/pyproject.toml
index d0585b749b526426c2754dc3726b9f5b60f2b529..8344ba2d4b5d6c1ba7c7c6a9aa26b791ae0ddb37 100644
--- a/llama-index-integrations/readers/llama-index-readers-deeplake/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-deeplake/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["adolkhan"]
name = "llama-index-readers-deeplake"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-discord/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-discord/pyproject.toml
index ec513e77198c290ba906bb4af4637d1ccaf16781..62212e152cab30b77aca69e2cc4480d79259ef34 100644
--- a/llama-index-integrations/readers/llama-index-readers-discord/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-discord/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-readers-discord"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-docstring-walker/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-docstring-walker/pyproject.toml
index 957693681509c686639b2ecc0313c7bf667245b8..bd2b915dc2c11fae175e3c88800362162cf829c3 100644
--- a/llama-index-integrations/readers/llama-index-readers-docstring-walker/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-docstring-walker/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["Filip Wojcik"]
name = "llama-index-readers-docstring-walker"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-docugami/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-docugami/pyproject.toml
index 11da0d422a41599f79322f6d3ad75ed0ead00866..80cca973e566cc48c97e37fe126c3033c69820b2 100644
--- a/llama-index-integrations/readers/llama-index-readers-docugami/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-docugami/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["tjaffri"]
name = "llama-index-readers-docugami"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
dgml-utils = "^0.3.1"
lxml = "~4.9.3"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-earnings-call-transcript/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-earnings-call-transcript/pyproject.toml
index e5fa55cb02894a990876e744a44985b38394b909..be204c0869cf308c54dd73a5dd8922dfe4c57db7 100644
--- a/llama-index-integrations/readers/llama-index-readers-earnings-call-transcript/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-earnings-call-transcript/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["Athe-kunal"]
name = "llama-index-readers-earnings-call-transcript"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
tenacity = "^8.2.3"
requests = "^2.31.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-elasticsearch/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-elasticsearch/pyproject.toml
index eecd9c4fbee81c6b8740bcd5190cb15ab1da77f6..c0312bfdd0fcba37540fb2b98435552e5585764f 100644
--- a/llama-index-integrations/readers/llama-index-readers-elasticsearch/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-elasticsearch/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["jaylmiller"]
name = "llama-index-readers-elasticsearch"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-faiss/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-faiss/pyproject.toml
index 9a6c6c36f44af76f2caeb96ad06b91b4ead892b0..d86d7575b8a5c63cf2532462b5e0e128adccae69 100644
--- a/llama-index-integrations/readers/llama-index-readers-faiss/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-faiss/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-readers-faiss"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-feedly-rss/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-feedly-rss/pyproject.toml
index fe0638b341f0fe1fbeddca4de710f763e5035613..1fabdf6d0f57475c85b11ec6a5bed4fe5de27b6b 100644
--- a/llama-index-integrations/readers/llama-index-readers-feedly-rss/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-feedly-rss/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["kychanbp"]
name = "llama-index-readers-feedly-rss"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
feedly-client = "^0.26"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-feishu-docs/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-feishu-docs/pyproject.toml
index 334a176285c0e9d2105d6bf157b56beab39ba70f..63fb64e4dc6f4de48e92f4c097d8d7e9adf61918 100644
--- a/llama-index-integrations/readers/llama-index-readers-feishu-docs/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-feishu-docs/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["ma-chengcheng"]
name = "llama-index-readers-feishu-docs"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
requests = "^2.31.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-feishu-wiki/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-feishu-wiki/pyproject.toml
index d5271f85f888e7c820704ee36f0bb2e1a1fc1d13..ab724f4f5f36780d2dc0a479916d6729528045c4 100644
--- a/llama-index-integrations/readers/llama-index-readers-feishu-wiki/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-feishu-wiki/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["zhourunlai"]
name = "llama-index-readers-feishu-wiki"
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
requests = "^2.31.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-file/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-file/pyproject.toml
index 57be46ece12c7ec0f3597bdfe5f18db66f7beaf2..87617d5196262e2d9cc40a4f93ba66af4cb56050 100644
--- a/llama-index-integrations/readers/llama-index-readers-file/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-file/pyproject.toml
@@ -51,16 +51,17 @@ license = "MIT"
maintainers = ["FarisHijazi", "Haowjy", "ephe-meral", "hursh-desai", "iamarunbrahma", "jon-chuang", "mmaatouk", "ravi03071991", "sangwongenip", "thejessezhang"]
name = "llama-index-readers-file"
readme = "README.md"
-version = "0.1.33"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.37.post1"
# pymupdf is AGPLv3-licensed, so it's optional
pymupdf = {optional = true, version = "^1.23.21"}
beautifulsoup4 = "^4.12.3"
pypdf = "^4.0.1"
striprtf = "^0.0.26"
+pandas = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.extras]
pymupdf = [
diff --git a/llama-index-integrations/readers/llama-index-readers-firebase-realtimedb/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-firebase-realtimedb/pyproject.toml
index abe3343691575bef536d0a4efbeabc5076f75817..e27f57d9dd03304ee505531bfbbe7305e3a30e33 100644
--- a/llama-index-integrations/readers/llama-index-readers-firebase-realtimedb/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-firebase-realtimedb/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["ajay"]
name = "llama-index-readers-firebase-realtimedb"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
firebase-admin = "^6.4.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-firestore/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-firestore/pyproject.toml
index 9e65d183da1fbee3c464ed44a15827dc8783f994..857bba444323ee70501d3aef646695a3be45dd39 100644
--- a/llama-index-integrations/readers/llama-index-readers-firestore/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-firestore/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["rayzhudev"]
name = "llama-index-readers-firestore"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
google-cloud-firestore = "^2.14.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-gcs/llama_index/readers/gcs/base.py b/llama-index-integrations/readers/llama-index-readers-gcs/llama_index/readers/gcs/base.py
index b36fa2951235e7cd7d7a24611ffe95c7b10a5b21..6a592379c29107ec625a6831be6f75f4335bec16 100644
--- a/llama-index-integrations/readers/llama-index-readers-gcs/llama_index/readers/gcs/base.py
+++ b/llama-index-integrations/readers/llama-index-readers-gcs/llama_index/readers/gcs/base.py
@@ -4,9 +4,11 @@ GCS file and directory reader.
A loader that fetches a file or iterates through a directory on Google Cloud Storage (GCS).
"""
+
import json
import logging
from typing import Callable, Dict, List, Optional, Union
+from typing_extensions import Annotated
from datetime import datetime
from pathlib import Path
@@ -19,7 +21,7 @@ from llama_index.core.readers.base import (
BaseReader,
)
from llama_index.core.schema import Document
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, WithJsonSchema
# Set up logging
logger = logging.getLogger(__name__)
@@ -27,6 +29,12 @@ logger = logging.getLogger(__name__)
SCOPES = ["https://www.googleapis.com/auth/devstorage.read_only"]
+FileMetadataCallable = Annotated[
+ Callable[[str], Dict],
+ WithJsonSchema({"type": "string"}),
+]
+
+
class GCSReader(BasePydanticReader, ResourcesReaderMixin, FileSystemReaderMixin):
"""
A reader for Google Cloud Storage (GCS) files and directories.
@@ -61,7 +69,7 @@ class GCSReader(BasePydanticReader, ResourcesReaderMixin, FileSystemReaderMixin)
required_exts: Optional[List[str]] = None
filename_as_id: bool = True
num_files_limit: Optional[int] = None
- file_metadata: Optional[Callable[[str], Dict]] = Field(default=None, exclude=True)
+ file_metadata: Optional[FileMetadataCallable] = Field(default=None, exclude=True)
service_account_key: Optional[Dict[str, str]] = None
service_account_key_json: Optional[str] = None
service_account_key_path: Optional[str] = None
diff --git a/llama-index-integrations/readers/llama-index-readers-gcs/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-gcs/pyproject.toml
index 4e6ae4b5a84be06b4dbea9ec34180dd646681cee..116826f1d8a27c1e9872f4b88108164a844e51ba 100644
--- a/llama-index-integrations/readers/llama-index-readers-gcs/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-gcs/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["nfiacco"]
name = "llama-index-readers-gcs"
readme = "README.md"
-version = "0.1.8"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-readers-file = "^0.1.11"
+llama-index-readers-file = "^0.2.0"
gcsfs = "^2024.3.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-genius/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-genius/pyproject.toml
index 8d79097ae7bd74e7921db341e959fc5d39d641ce..d6e54f1d82e5d43283587e9990ebf3c98a78f128 100644
--- a/llama-index-integrations/readers/llama-index-readers-genius/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-genius/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-readers-genius"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
lyricsgenius = "^3.0.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-github/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-github/pyproject.toml
index 176cdb002d50f508cf558a869eca6ac4e111ca38..9d23c07a60a35c7a1ef8285c28c6741c1aa802d3 100644
--- a/llama-index-integrations/readers/llama-index-readers-github/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-github/pyproject.toml
@@ -31,13 +31,13 @@ license = "MIT"
maintainers = ["ahmetkca", "moncho", "rwood-97"]
name = "llama-index-readers-github"
readme = "README.md"
-version = "0.1.9"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-readers-file = "^0.1.1"
+llama-index-readers-file = "^0.2.0"
httpx = ">=0.26.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-gitlab/llama_index/readers/gitlab/issues/base.py b/llama-index-integrations/readers/llama-index-readers-gitlab/llama_index/readers/gitlab/issues/base.py
index 1daa7558ce042767f634d648a5523a5c257ab1d6..c218d3b64b1ac54255f318604bf9ea7f50f61891 100644
--- a/llama-index-integrations/readers/llama-index-readers-gitlab/llama_index/readers/gitlab/issues/base.py
+++ b/llama-index-integrations/readers/llama-index-readers-gitlab/llama_index/readers/gitlab/issues/base.py
@@ -84,7 +84,7 @@ class GitLabIssuesReader(BaseReader):
title = issue_dict["title"]
description = issue_dict["description"]
document = Document(
- doc_id=issue_dict["iid"],
+ doc_id=str(issue_dict["iid"]),
text=f"{title}\n{description}",
)
extra_info = {
diff --git a/llama-index-integrations/readers/llama-index-readers-gitlab/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-gitlab/pyproject.toml
index f5f6f65959a2e0c706389c9be66665f4b3a7a191..016d24c2201a85f61f2df940d10ea45d69fc136f 100644
--- a/llama-index-integrations/readers/llama-index-readers-gitlab/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-gitlab/pyproject.toml
@@ -32,12 +32,12 @@ maintainers = ["jiachengzhang1"]
name = "llama-index-readers-gitlab"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
python-gitlab = "^4.8.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/readers/llama-index-readers-google/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-google/pyproject.toml
index 914efc527557506d134ac056ed002e79e3a0b5f4..51cc904062f769d04fd4aaa45050c9fa2139ae18 100644
--- a/llama-index-integrations/readers/llama-index-readers-google/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-google/pyproject.toml
@@ -47,16 +47,17 @@ maintainers = [
]
name = "llama-index-readers-google"
readme = "README.md"
-version = "0.3.1"
+version = "0.4.0"
[tool.poetry.dependencies]
python = ">=3.10,<4.0"
-llama-index-core = "^0.10.11.post1"
google-api-python-client = "^2.115.0"
google-auth-httplib2 = "^0.2.0"
google-auth-oauthlib = "^1.2.0"
pydrive = "^1.3.1"
gkeepapi = "^0.15.1"
+pandas = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-gpt-repo/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-gpt-repo/pyproject.toml
index 579d9d3f8b06ebbbdf253ba1718565fb9c6c4fc6..682f2b16dab37f733eba431ec91687a1a9328502 100644
--- a/llama-index-integrations/readers/llama-index-readers-gpt-repo/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-gpt-repo/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["mpoon"]
name = "llama-index-readers-gpt-repo"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-graphdb-cypher/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-graphdb-cypher/pyproject.toml
index 6b6310ac71d16cc93096d771fb9c1b1497973be8..d052b83aefc007dadedb288ef5a60e51c8dc0a7a 100644
--- a/llama-index-integrations/readers/llama-index-readers-graphdb-cypher/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-graphdb-cypher/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["jexp"]
name = "llama-index-readers-graphdb-cypher"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
neo4j = "^5.16.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-graphql/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-graphql/pyproject.toml
index 2b39f7e69ef58740ce18e314fdf0534cb19995df..c75e96691b7ae1ed287ea12f2b5b0d078da9ffc9 100644
--- a/llama-index-integrations/readers/llama-index-readers-graphql/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-graphql/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["jexp"]
name = "llama-index-readers-graphql"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
gql = "^3.5.0"
requests-toolbelt = "^1.0.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-guru/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-guru/pyproject.toml
index 6314b3a34c47668fbea978f2b2f821a4169e99ca..0d2bb66b1f528e4a7f233f30cf12d354c425c0bd 100644
--- a/llama-index-integrations/readers/llama-index-readers-guru/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-guru/pyproject.toml
@@ -29,12 +29,13 @@ license = "MIT"
maintainers = ["mcclain-thiel"]
name = "llama-index-readers-guru"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
bs4 = "*"
+pandas = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-hatena-blog/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-hatena-blog/pyproject.toml
index 0d76b817d71d2b54da16e28294857a8d73987b15..ad03896070068ccc72db9298dadbc2c71543d8b0 100644
--- a/llama-index-integrations/readers/llama-index-readers-hatena-blog/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-hatena-blog/pyproject.toml
@@ -29,14 +29,14 @@ license = "MIT"
maintainers = ["Shoya SHIRAKI"]
name = "llama-index-readers-hatena-blog"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
requests = "^2.31.0"
beautifulsoup4 = "^4.12.3"
lxml = "^5.1.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-hive/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-hive/pyproject.toml
index 9111932f327c5ac16d7fc9b6c1070782ea14245f..04714d69578835c2142fbef0385b0be373108e46 100644
--- a/llama-index-integrations/readers/llama-index-readers-hive/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-hive/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["kasen"]
name = "llama-index-readers-hive"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pyhive = "^0.7.0"
thrift-sasl = "^0.4.3"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-hubspot/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-hubspot/pyproject.toml
index ea233d15cde7c791bec09f121be0627402cb0115..92f82f8305f5077749d0a1c344a8de189cb4ec7b 100644
--- a/llama-index-integrations/readers/llama-index-readers-hubspot/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-hubspot/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["ykhli"]
name = "llama-index-readers-hubspot"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
hubspot-api-client = "^8.2.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-huggingface-fs/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-huggingface-fs/pyproject.toml
index 5707b2103660df1b480c3b33499d01322a59539f..3683ccde0a67a6ec5deffe16de7c7eebdf341d1a 100644
--- a/llama-index-integrations/readers/llama-index-readers-huggingface-fs/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-huggingface-fs/pyproject.toml
@@ -29,12 +29,13 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-readers-huggingface-fs"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
huggingface-hub = "^0.20.3"
+pandas = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-hwp/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-hwp/pyproject.toml
index 98c81f23bd130bc897c19f0dc492b7f6714f4c78..abc2d2080b8c3280c9b65d192117488de3b993d5 100644
--- a/llama-index-integrations/readers/llama-index-readers-hwp/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-hwp/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-readers-hwp"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
olefile = "^0.47"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-iceberg/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-iceberg/pyproject.toml
index ee02bd0fc4d3cef90204f0e4e73065419dbf9a69..7dca31cb268660bde43f36a8507038200e291249 100644
--- a/llama-index-integrations/readers/llama-index-readers-iceberg/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-iceberg/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-readers-iceberg"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
pyiceberg = "^0.6.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/readers/llama-index-readers-imdb-review/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-imdb-review/pyproject.toml
index 89eea5bedc12b91f03b7d99f96ea5ef8de1c8e67..5768979671fb56ca277afa6746e5c78e8e2d2833 100644
--- a/llama-index-integrations/readers/llama-index-readers-imdb-review/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-imdb-review/pyproject.toml
@@ -29,14 +29,15 @@ license = "MIT"
maintainers = ["Athe-kunal"]
name = "llama-index-readers-imdb-review"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
selenium = "4.8.3"
webdriver-manager = "4.0.1"
imdbpy = "2022.7.9"
+pandas = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-intercom/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-intercom/pyproject.toml
index fadf8a3eef9b2688de71a24b68f9f43cfa485c92..0af5dbdc2554fa260f8b43e52d101d8bc9a494c2 100644
--- a/llama-index-integrations/readers/llama-index-readers-intercom/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-intercom/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["bbornsztein"]
name = "llama-index-readers-intercom"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-jaguar/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-jaguar/pyproject.toml
index 62cdb6589e649176a1d63f1f817ff3ef6418d072..548891551ff675a661748e751b5aec10dc1fade0 100644
--- a/llama-index-integrations/readers/llama-index-readers-jaguar/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-jaguar/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-readers-jaguar"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
jaguardb-http-client = "^3.4.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-jira/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-jira/pyproject.toml
index c09dfc768da470106c59298670c33843639e011b..61b3e6680e90f8c95958efae517f1eb19c323bed 100644
--- a/llama-index-integrations/readers/llama-index-readers-jira/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-jira/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["bearguy"]
name = "llama-index-readers-jira"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
jira = "^3.6.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-joplin/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-joplin/pyproject.toml
index 81e6261ac717d7a1c3d6e24d4366585779db1f7b..c3418d5d2417b3be0137c4dc72a1960a86016cce 100644
--- a/llama-index-integrations/readers/llama-index-readers-joplin/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-joplin/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["alondmnt"]
name = "llama-index-readers-joplin"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-readers-file = "^0.1.1"
+llama-index-readers-file = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-json/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-json/pyproject.toml
index 10c076d8fd660b991a1f1efcc0cfa7ff45520d02..e67b646ffc32d27a4be60f36ca8c93052fe49af4 100644
--- a/llama-index-integrations/readers/llama-index-readers-json/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-json/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["yisding"]
name = "llama-index-readers-json"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-kaltura/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-kaltura/pyproject.toml
index 7d131753ebeb7331379a4400f9a0bb7385eec37d..9a7f0525f115ef9ed6cb83d513843f11dc49a21f 100644
--- a/llama-index-integrations/readers/llama-index-readers-kaltura/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-kaltura/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["kaltura"]
name = "llama-index-readers-kaltura-esearch"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
kalturaapiclient = ">=19.3.0,<19.4.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-kibela/llama_index/readers/kibela/base.py b/llama-index-integrations/readers/llama-index-readers-kibela/llama_index/readers/kibela/base.py
index 39a89cd4682366c4896711aeb112a26bd0f5cfc6..f199f31fce455441efc6b15c2ac74047093be3fd 100644
--- a/llama-index-integrations/readers/llama-index-readers-kibela/llama_index/readers/kibela/base.py
+++ b/llama-index-integrations/readers/llama-index-readers-kibela/llama_index/readers/kibela/base.py
@@ -1,14 +1,15 @@
"""LLama Kibela Reader."""
+
from typing import Dict, Generic, List, Optional, TypeVar
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
-from llama_index.core.bridge.pydantic import BaseModel, GenericModel, parse_obj_as
+from llama_index.core.bridge.pydantic import BaseModel
NodeType = TypeVar("NodeType")
-class Edge(GenericModel, Generic[NodeType]):
+class Edge(BaseModel, Generic[NodeType]):
node: Optional[NodeType]
cursor: Optional[str]
@@ -19,7 +20,7 @@ class PageInfo(BaseModel):
hasNextPage: Optional[bool]
-class Connection(GenericModel, Generic[NodeType]):
+class Connection(BaseModel, Generic[NodeType]):
nodes: Optional[List[NodeType]] = None
edges: Optional[List[Edge[NodeType]]]
pageInfo: Optional[PageInfo]
@@ -94,7 +95,7 @@ class KibelaReader(BaseReader):
# See https://github.com/kibela/kibela-api-v1-document#1%E7%A7%92%E3%81%82%E3%81%9F%E3%82%8A%E3%81%AE%E3%83%AA%E3%82%AF%E3%82%A8%E3%82%B9%E3%83%88%E6%95%B0
while has_next:
res = self.request(query, params)
- note_conn = parse_obj_as(Connection[Note], res["notes"])
+ note_conn = Connection[Note].model_validate(res["notes"])
for note in note_conn.edges:
doc = (
f"---\nurl: {note.node.url}\ntitle:"
diff --git a/llama-index-integrations/readers/llama-index-readers-kibela/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-kibela/pyproject.toml
index 5208fccceb9c0d582329c31778a30557935d866c..f75a9f9b0176be6ea72be31ca50eaacc515bf58a 100644
--- a/llama-index-integrations/readers/llama-index-readers-kibela/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-kibela/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["higebu"]
name = "llama-index-readers-kibela"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
gql = "^3.5.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-lilac/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-lilac/pyproject.toml
index 74bedbe72573ca3285e8beb674f45e420d6e4d5b..0e4f1167c0fc876bfc4a8344f1f9b06343e22bae 100644
--- a/llama-index-integrations/readers/llama-index-readers-lilac/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-lilac/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["nsthorat"]
name = "llama-index-readers-lilac"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.11.post1"
lilac = ">=0.1.5,<0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-linear/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-linear/pyproject.toml
index 1489c5f3899e7a2fcaa7337daf4035f6808b7949..5821b86257a78e993d3f4b9d97d047c4bbd059ff 100644
--- a/llama-index-integrations/readers/llama-index-readers-linear/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-linear/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["Sushmithamallesh"]
name = "llama-index-readers-linear"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
gql = "^3.5.0"
requests = "^2.31.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-llama-parse/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-llama-parse/pyproject.toml
index 06ca849d5fd8852978b8b777adc26e1fe5b6617f..e367ef9afc939b4372d928c0f2367080b2b3dc2f 100644
--- a/llama-index-integrations/readers/llama-index-readers-llama-parse/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-llama-parse/pyproject.toml
@@ -28,12 +28,12 @@ keywords = ["PDF", "llama", "llama-parse", "parse"]
license = "MIT"
name = "llama-index-readers-llama-parse"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.7"
llama-parse = ">=0.4.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-macrometa-gdn/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-macrometa-gdn/pyproject.toml
index 59ac0fc24b5ccd567f1c2c3059e56a1d4a4c7286..a53b90ac1737f9eca9bf4393af8fabcbd669cb46 100644
--- a/llama-index-integrations/readers/llama-index-readers-macrometa-gdn/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-macrometa-gdn/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["Dain Im"]
name = "llama-index-readers-macrometa-gdn"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-make-com/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-make-com/pyproject.toml
index afae8dbc4e45d4427a7f998bf408016660b1731b..e85504618ba2e7e3edd5772f6146bede31f6cb1a 100644
--- a/llama-index-integrations/readers/llama-index-readers-make-com/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-make-com/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-readers-make-com"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-mangadex/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-mangadex/pyproject.toml
index 18c686d90eb1ccfe18218bc5b049f7bd17ca6df7..ddf163e1ce53d18887a7f9ef6b37b3eebf26369d 100644
--- a/llama-index-integrations/readers/llama-index-readers-mangadex/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-mangadex/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["choombaa"]
name = "llama-index-readers-mangadex"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-mangoapps-guides/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-mangoapps-guides/pyproject.toml
index 54c79a28762d813a056d36e54a5b7d5d92a4a9e1..9bfce1e9071326cfeb300d4365e88520620d66d5 100644
--- a/llama-index-integrations/readers/llama-index-readers-mangoapps-guides/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-mangoapps-guides/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["mangoapps"]
name = "llama-index-readers-mangoapps-guides"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
beautifulsoup4 = ">=4.11.1"
requests = ">=2.28.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-maps/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-maps/pyproject.toml
index bb87299b1f64eb2c6c121e9579a2b62834176cc8..adf3e3f477ced0437a45e72383bab59aa4992fdd 100644
--- a/llama-index-integrations/readers/llama-index-readers-maps/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-maps/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["carrotpy"]
name = "llama-index-readers-maps"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
osmxtract = "^0.0.1"
geopy = "^2.4.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-mbox/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-mbox/pyproject.toml
index 717b79c98fa290c441bd682c271021b3a5b42883..28dafde33d3ef1a345900bd999623d8a45f54fc0 100644
--- a/llama-index-integrations/readers/llama-index-readers-mbox/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-mbox/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["minosvasilias"]
name = "llama-index-readers-mbox"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-readers-file = "^0.1.1"
+llama-index-readers-file = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-memos/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-memos/pyproject.toml
index 3e2c636eb59b34e3f202cb0eb0c17fdf0e94f81a..196cd7e5e244e5d98eeb00fbab659174d1e8a7fd 100644
--- a/llama-index-integrations/readers/llama-index-readers-memos/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-memos/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["bubu"]
name = "llama-index-readers-memos"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-metal/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-metal/pyproject.toml
index 2e35c4a4f6f6f1425db4895212d1df19e6959b63..a8041c1645cb6873f208e014b6ad15470112733b 100644
--- a/llama-index-integrations/readers/llama-index-readers-metal/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-metal/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["getmetal"]
name = "llama-index-readers-metal"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
metal-sdk = "^2.5.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/llama_index/readers/microsoft_onedrive/base.py b/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/llama_index/readers/microsoft_onedrive/base.py
index b9903786b8600c6dd9de9914edadf4ad7e82d62d..7b84f32e57c1773ab3746151c3be7c198f6159bf 100644
--- a/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/llama_index/readers/microsoft_onedrive/base.py
+++ b/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/llama_index/readers/microsoft_onedrive/base.py
@@ -87,9 +87,6 @@ class OneDriveReader(BasePydanticReader, ResourcesReaderMixin, FileSystemReaderM
file_extractor: Optional[Dict[str, Union[str, BaseReader]]] = None,
**kwargs,
) -> None:
- self._is_interactive_auth = not client_secret
- self._authority = f"https://login.microsoftonline.com/{tenant_id}/"
-
super().__init__(
client_id=client_id,
client_secret=client_secret,
@@ -102,6 +99,8 @@ class OneDriveReader(BasePydanticReader, ResourcesReaderMixin, FileSystemReaderM
file_extractor=file_extractor,
**kwargs,
)
+ self._is_interactive_auth = not client_secret
+ self._authority = f"https://login.microsoftonline.com/{tenant_id}/"
def _authenticate_with_msal(self) -> Any:
"""Authenticate with MSAL.
diff --git a/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/poetry.lock b/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/poetry.lock
index d7c9717cfdb2a278319461cac0733490dddc9eca..3ef2f4171312be251dd54ae5b3dca0574051f992 100644
--- a/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/poetry.lock
+++ b/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/poetry.lock
@@ -1,99 +1,114 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
[[package]]
name = "aiohappyeyeballs"
-version = "2.3.5"
+version = "2.4.0"
description = "Happy Eyeballs for asyncio"
optional = false
python-versions = ">=3.8"
files = [
- {file = "aiohappyeyeballs-2.3.5-py3-none-any.whl", hash = "sha256:4d6dea59215537dbc746e93e779caea8178c866856a721c9c660d7a5a7b8be03"},
- {file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"},
+ {file = "aiohappyeyeballs-2.4.0-py3-none-any.whl", hash = "sha256:7ce92076e249169a13c2f49320d1967425eaf1f407522d707d59cac7628d62bd"},
+ {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"},
]
[[package]]
name = "aiohttp"
-version = "3.10.3"
+version = "3.10.5"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
files = [
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typing-extensions = ">=3.7.4"
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name = "uri-template"
version = "1.3.0"
@@ -4665,4 +4496,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
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lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
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diff --git a/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/pyproject.toml
index a6e3f9412c1f796ffa95d9f097bc55b8d9779f89..fc464a17f7396dbcb69b32ec8599151046085e68 100644
--- a/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["godwin3737"]
name = "llama-index-readers-microsoft-onedrive"
readme = "README.md"
-version = "0.1.9"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
msal = "^1.26.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-microsoft-outlook/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-microsoft-outlook/pyproject.toml
index 37c1d6e267bc2f38727967ec15a7a3b05b4f73ae..2ec71ec1b81727b09ae24ed9d07dd3db0a6e8f32 100644
--- a/llama-index-integrations/readers/llama-index-readers-microsoft-outlook/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-microsoft-outlook/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["tevslin"]
name = "llama-index-readers-microsoft-outlook"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-microsoft-sharepoint/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-microsoft-sharepoint/pyproject.toml
index d2642a056284f4327dc0be7850ba9ac5991f7a5b..b4ab9d40b29caf12178c9c921e2def3b1b39f4b7 100644
--- a/llama-index-integrations/readers/llama-index-readers-microsoft-sharepoint/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-microsoft-sharepoint/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["arun-soliton"]
name = "llama-index-readers-microsoft-sharepoint"
readme = "README.md"
-version = "0.2.8"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.37.post1"
requests = "^2.31.0"
-llama-index-readers-file = "^0.1.27"
+llama-index-readers-file = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-milvus/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-milvus/pyproject.toml
index a1fb9f697bb80a9341bd2b47951e3e0dbb11494a..6259f1f85ef5b12c3e8ba5f2d9deedb638542eb8 100644
--- a/llama-index-integrations/readers/llama-index-readers-milvus/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-milvus/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["filip-halt"]
name = "llama-index-readers-milvus"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pymilvus = "^2.3.6"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-minio/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-minio/pyproject.toml
index e50b9c837b284fd6981f76332d7f37c14372b5d7..1d3c095dd740c25a36977d812b116733868ad9ee 100644
--- a/llama-index-integrations/readers/llama-index-readers-minio/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-minio/pyproject.toml
@@ -28,13 +28,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-readers-minio"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
minio = "^7.2.3"
boto3 = "^1.34.29"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-mondaydotcom/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-mondaydotcom/pyproject.toml
index 9250089950e965b3dcd8d1e6d93c4da1e3956aff..b4ecba9f115cf82dfd16b0e308c28d5b5cf7a6b3 100644
--- a/llama-index-integrations/readers/llama-index-readers-mondaydotcom/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-mondaydotcom/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["nadavgr"]
name = "llama-index-readers-mondaydotcom"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
requests = "^2.31.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-mongodb/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-mongodb/pyproject.toml
index 962a25d20b6c40c225569f22e4155fb1473d59a3..cce58b5f84459e43010d76457c5bd4a07bbd1033 100644
--- a/llama-index-integrations/readers/llama-index-readers-mongodb/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-mongodb/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-readers-mongodb"
readme = "README.md"
-version = "0.1.9"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pymongo = "^4.6.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-myscale/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-myscale/pyproject.toml
index 30854b07bf1898ae3c2f0c8af95632c8261add50..a5a725e6b1f93d50c91ac641b4e572bdc8b4a1b4 100644
--- a/llama-index-integrations/readers/llama-index-readers-myscale/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-myscale/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-readers-myscale"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
clickhouse-connect = "^0.7.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-notion/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-notion/pyproject.toml
index 6eddfead5a35694e0a90531f7b38b9685a76a987..2036ef1574382f7c0108b8c5e60b6d98d4a9b051 100644
--- a/llama-index-integrations/readers/llama-index-readers-notion/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-notion/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-readers-notion"
readme = "README.md"
-version = "0.1.10"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-nougat-ocr/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-nougat-ocr/pyproject.toml
index a55595249c22a2d7c183f10c6cdfaf678f3efe70..f1090be38623f9dfd5a1a3b756670c979a16df4e 100644
--- a/llama-index-integrations/readers/llama-index-readers-nougat-ocr/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-nougat-ocr/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["mdarshad1000"]
name = "llama-index-readers-nougat-ocr"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
nougat-ocr = "^0.1.17"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-obsidian/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-obsidian/pyproject.toml
index a9ad50b5e01bdd3775e01b8af617a4c26fdb73f7..b13e34ea8e9b773e4baef28e59153bffccdff1d3 100644
--- a/llama-index-integrations/readers/llama-index-readers-obsidian/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-obsidian/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["hursh-desai"]
name = "llama-index-readers-obsidian"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-readers-file = "^0.1.1"
+llama-index-readers-file = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-openalex/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-openalex/pyproject.toml
index c988619cc6581e5b8ec744997e7565e82abfa857..d5f903452336f16848d29aacc504cd495e8846e1 100644
--- a/llama-index-integrations/readers/llama-index-readers-openalex/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-openalex/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["shauryr"]
name = "llama-index-readers-openalex"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-openapi/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-openapi/pyproject.toml
index b6fe54427df08deb920869ca366443539d90ea08..a099a1526e05a2b4c95529f4959c21aea3223212 100644
--- a/llama-index-integrations/readers/llama-index-readers-openapi/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-openapi/pyproject.toml
@@ -27,11 +27,11 @@ license = "MIT"
name = "llama-index-readers-openapi"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/readers/llama-index-readers-opendal/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-opendal/pyproject.toml
index 7ce225d991fb2960325784672d9a3e77d1a22b49..935a3d01e9d18ba203d439447ecc7a55f64bb9e4 100644
--- a/llama-index-integrations/readers/llama-index-readers-opendal/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-opendal/pyproject.toml
@@ -32,12 +32,12 @@ license = "MIT"
maintainers = ["OpenDAL Contributors"]
name = "llama-index-readers-opendal-reader"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-opendal = "0.30.3"
+llama-index-core = "^0.11.0"
+opendal = "*"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-opensearch/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-opensearch/pyproject.toml
index 01fbabd6c7fabb64a1b345ab2af25b5097474e5f..0edab3350cdc526b597a7263f6c9c3009a6d8867 100644
--- a/llama-index-integrations/readers/llama-index-readers-opensearch/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-opensearch/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["chnsagitchen"]
name = "llama-index-readers-opensearch"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
opensearch-py = "^2.4.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-pandas-ai/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-pandas-ai/pyproject.toml
index 851b66616782fed973b4455fefd2919008bd0e2e..faa485c5f569d5269b9fa810c21daa57b72420de 100644
--- a/llama-index-integrations/readers/llama-index-readers-pandas-ai/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-pandas-ai/pyproject.toml
@@ -29,12 +29,14 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-readers-pandas-ai"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.1"
pandasai = ">=2.2.12"
+pandas = "*"
+llama-index-core = "^0.11.0"
+llama-index-readers-file = "^0.2.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-papers/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-papers/pyproject.toml
index 31ec330259ff9eafbd543c232b7797a8fdd0df60..f51cc44669f90294fe9969cadb87e116c84c7aaf 100644
--- a/llama-index-integrations/readers/llama-index-readers-papers/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-papers/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["thejessezhang"]
name = "llama-index-readers-papers"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
arxiv = "^2.1.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-patentsview/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-patentsview/pyproject.toml
index 07d315f978c079d4ee9254e62d20ed34c28e4702..26aa1f2331d29a5e64f510939930bb6aeab89793 100644
--- a/llama-index-integrations/readers/llama-index-readers-patentsview/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-patentsview/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["shao-shuai"]
name = "llama-index-readers-patentsview"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-pathway/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-pathway/pyproject.toml
index 08551a8064897f031f806933c1305c4bf5028981..6c9f9ae8248a5c5a1a4b21e3def08a4c6350e3ae 100644
--- a/llama-index-integrations/readers/llama-index-readers-pathway/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-pathway/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-readers-pathway"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
requests = "^2.31.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-pdb/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-pdb/pyproject.toml
index 832c4f02e0086618a091b5688e8d2382b89fe777..1fff8a6f475c9cafaf31fa9cfa6c20a58d56b8d6 100644
--- a/llama-index-integrations/readers/llama-index-readers-pdb/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-pdb/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["joshuakto"]
name = "llama-index-readers-pdb"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
requests = "^2.31.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-pdf-marker/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-pdf-marker/pyproject.toml
index 598166575bcfd3783adb8461b4919574e2aa68b3..1b5fbcf0263c02c19eb2b2f43f28915789ae707a 100644
--- a/llama-index-integrations/readers/llama-index-readers-pdf-marker/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-pdf-marker/pyproject.toml
@@ -30,12 +30,12 @@ license = "GPL-3.0-or-later"
name = "llama-index-readers-pdf-marker"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.0"
marker-pdf = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/readers/llama-index-readers-pdf-table/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-pdf-table/pyproject.toml
index 634fdca77f81f0c1873f984d19d35cbd429ad1b2..95b75c8b6e1587f475693758fc10e4ac92fc7705 100644
--- a/llama-index-integrations/readers/llama-index-readers-pdf-table/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-pdf-table/pyproject.toml
@@ -29,14 +29,15 @@ license = "MIT"
maintainers = ["yy0867"]
name = "llama-index-readers-pdf-table"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
-python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+python = ">=3.9,<4.0"
+llama-index-core = "^0.11.0"
camelot-py = "^0.11.0"
opencv-python = "^4.9.0.80"
ghostscript = "^0.7"
+pandas = "*"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-pebblo/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-pebblo/pyproject.toml
index a3232855344b9c8789865fa86e5dacebeab04cf0..0a195f344b3587091d671b0ec2551eeae3314aa3 100644
--- a/llama-index-integrations/readers/llama-index-readers-pebblo/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-pebblo/pyproject.toml
@@ -30,14 +30,15 @@ license = "MIT"
name = "llama-index-readers-pebblo"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
langchain-community = ">=0.0.303"
langchain = ">=0.0.303"
requests = "^2"
+llama-index-readers-file = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/readers/llama-index-readers-preprocess/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-preprocess/pyproject.toml
index a06cbab2d2837557be6515e2405a4bc3c5836ca9..2b323649bc6cef86ba8393367edd7be25215e75e 100644
--- a/llama-index-integrations/readers/llama-index-readers-preprocess/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-preprocess/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["preprocess"]
name = "llama-index-readers-preprocess"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pypreprocess = "^1.4.3"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-psychic/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-psychic/pyproject.toml
index 5110ac8f2fcaedd34cd1c531672bfa0f8cb2a505..2b6a70d5f733f32418330e7c6ee4134ac0c50c48 100644
--- a/llama-index-integrations/readers/llama-index-readers-psychic/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-psychic/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-readers-psychic"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
psychicapi = "^0.8.4"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-qdrant/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-qdrant/pyproject.toml
index 841dfa67e3f3bf83a888e65604626bc92d16030a..440484c7648d4019b2e7f176440e4f9815e114e6 100644
--- a/llama-index-integrations/readers/llama-index-readers-qdrant/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-qdrant/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["kacperlukawski"]
name = "llama-index-readers-qdrant"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.11.post1"
qdrant-client = "^1.7.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-rayyan/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-rayyan/pyproject.toml
index d3b7b08cda0a834152879408e10b53a686285222..3a47578c57a1fc850a1e44871b3f93ec7ca9a5da 100644
--- a/llama-index-integrations/readers/llama-index-readers-rayyan/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-rayyan/pyproject.toml
@@ -29,14 +29,14 @@ license = "MIT"
maintainers = ["hammady"]
name = "llama-index-readers-rayyan"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
rayyan-sdk = "^1.0rc7"
tqdm = "^4.66.1"
tenacity = "^8.2.3"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-readme/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-readme/pyproject.toml
index fdc194b4f1af195c96818302853508ad4ac11a6c..17e264d869d00efdc59486e2cb61c6bee973ab48 100644
--- a/llama-index-integrations/readers/llama-index-readers-readme/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-readme/pyproject.toml
@@ -28,13 +28,13 @@ license = "MIT"
name = "llama-index-readers-readme"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
beautifulsoup4 = "^4.12.3"
requests = "^2.31.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/readers/llama-index-readers-readwise/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-readwise/pyproject.toml
index 5973f0f37b141d2471cd45e4146fb2d4f0041492..044bc9d73e09f4290837f7873d64364a8862904f 100644
--- a/llama-index-integrations/readers/llama-index-readers-readwise/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-readwise/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["alexbowe"]
name = "llama-index-readers-readwise"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-reddit/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-reddit/pyproject.toml
index c112dcea170248fff7ff5f7e9a0ace6d1ac2c64b..8f2536713ebbd70c64c21a9e53bb0cf40fa5377e 100644
--- a/llama-index-integrations/readers/llama-index-readers-reddit/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-reddit/pyproject.toml
@@ -29,16 +29,16 @@ license = "MIT"
maintainers = ["vanessahlyan"]
name = "llama-index-readers-reddit"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
praw = ">=7.6,<8.0"
prawcore = ">=2.3,<3.0"
requests = ">=2.28,<3.0"
update-checker = ">=0.18,<1.0"
websocket-client = ">=1.5,<2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-remote-depth/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-remote-depth/pyproject.toml
index 488e45683018e89540c2156900dc8fa7c3014a9e..84877534516ba27653fba7504e55bd69c24b7282 100644
--- a/llama-index-integrations/readers/llama-index-readers-remote-depth/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-remote-depth/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["simonMoisselin"]
name = "llama-index-readers-remote-depth"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.12"
-llama-index-core = "^0.10.11.post1"
-llama-index-readers-remote = "^0.1.1"
+llama-index-readers-remote = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-remote/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-remote/pyproject.toml
index a7375182268facc115228c65ae42e5074836ae17..49653a6aa9a478bb4b22a3fa413b7c9c9675bdf3 100644
--- a/llama-index-integrations/readers/llama-index-readers-remote/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-remote/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["thejessezhang"]
name = "llama-index-readers-remote"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.11.post1"
-llama-index-readers-youtube-transcript = "^0.1.4"
+llama-index-readers-youtube-transcript = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-s3/llama_index/readers/s3/base.py b/llama-index-integrations/readers/llama-index-readers-s3/llama_index/readers/s3/base.py
index 4086d2bbe5460d245937d43ada718ffa0a8e0f53..f2735fa40f4c6960febc1144a96a14d313c510fc 100644
--- a/llama-index-integrations/readers/llama-index-readers-s3/llama_index/readers/s3/base.py
+++ b/llama-index-integrations/readers/llama-index-readers-s3/llama_index/readers/s3/base.py
@@ -7,6 +7,7 @@ A loader that fetches a file or iterates through a directory on AWS S3.
import warnings
from typing import Callable, Dict, List, Optional, Union
+from typing_extensions import Annotated
from datetime import datetime, timezone
from pathlib import Path
@@ -17,7 +18,13 @@ from llama_index.core.readers.base import (
ResourcesReaderMixin,
)
from llama_index.core.schema import Document
-from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic import Field, WithJsonSchema
+
+
+FileMetadataCallable = Annotated[
+ Callable[[str], Dict],
+ WithJsonSchema({"type": "string"}),
+]
class S3Reader(BasePydanticReader, ResourcesReaderMixin, FileSystemReaderMixin):
@@ -61,7 +68,7 @@ class S3Reader(BasePydanticReader, ResourcesReaderMixin, FileSystemReaderMixin):
required_exts: Optional[List[str]] = None
filename_as_id: bool = True
num_files_limit: Optional[int] = None
- file_metadata: Optional[Callable[[str], Dict]] = Field(default=None, exclude=True)
+ file_metadata: Optional[FileMetadataCallable] = Field(default=None, exclude=True)
aws_access_id: Optional[str] = None
aws_access_secret: Optional[str] = None
aws_session_token: Optional[str] = None
diff --git a/llama-index-integrations/readers/llama-index-readers-s3/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-s3/pyproject.toml
index 7ad205333a8b4d245ca22a9ecb5fd29484df22f7..f4e952d45682c62b4051e379635e69a715816457 100644
--- a/llama-index-integrations/readers/llama-index-readers-s3/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-s3/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["thejessezhang"]
name = "llama-index-readers-s3"
readme = "README.md"
-version = "0.1.10"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.50.post1"
-llama-index-readers-file = "^0.1.25"
+llama-index-readers-file = "^0.2.0"
s3fs = ">=2024.3.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-sec-filings/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-sec-filings/pyproject.toml
index 45169e16be6b6657d81d43f56b33e59811ba66b8..04ed3ea8d481aaa2ca4193c43953eef0f8cd36f6 100644
--- a/llama-index-integrations/readers/llama-index-readers-sec-filings/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-sec-filings/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["Athe-kunal"]
name = "llama-index-readers-sec-filings"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
faker = "*"
ratelimit = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-semanticscholar/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-semanticscholar/pyproject.toml
index dbbbd0c9affa47d46d398ff1b09734838ae8cf81..ebceafd15709c53588cfb1f92f15bbe8295df561 100644
--- a/llama-index-integrations/readers/llama-index-readers-semanticscholar/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-semanticscholar/pyproject.toml
@@ -29,14 +29,14 @@ license = "MIT"
maintainers = ["shauryr"]
name = "llama-index-readers-semanticscholar"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
semanticscholar = "0.4.1"
arxiv = "1.4.8"
pypdf2 = "3.0.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-semanticscholar/tests/test.py b/llama-index-integrations/readers/llama-index-readers-semanticscholar/tests/test.py
index 96925f00ba140f7dd7a1864c2637671bb534956a..9e3adf9ea3bf9020f2846cde6a35695cf653f980 100644
--- a/llama-index-integrations/readers/llama-index-readers-semanticscholar/tests/test.py
+++ b/llama-index-integrations/readers/llama-index-readers-semanticscholar/tests/test.py
@@ -2,12 +2,10 @@ import os
import openai
from llama_index import (
- ServiceContext,
StorageContext,
VectorStoreIndex,
load_index_from_storage,
)
-from llama_index.core.llms import OpenAI
from llama_index.core.query_engine import CitationQueryEngine
from llama_index.readers.semanticscholar.base import SemanticScholarReader
@@ -16,9 +14,6 @@ s2reader = SemanticScholarReader()
# initialize the service context
openai.api_key = os.environ["OPENAI_API_KEY"]
-service_context = ServiceContext.from_defaults(
- llm=OpenAI(model="gpt-3.5-turbo", temperature=0)
-)
query_space = "large language models"
query_string = "limitations of using large language models"
@@ -35,12 +30,11 @@ persist_dir = (
if not os.path.exists(persist_dir):
# Load data from Semantic Scholar
documents = s2reader.load_data(query_space, total_papers, full_text=full_text)
- index = VectorStoreIndex.from_documents(documents, service_context=service_context)
+ index = VectorStoreIndex.from_documents(documents)
index.storage_context.persist(persist_dir=persist_dir)
else:
index = load_index_from_storage(
StorageContext.from_defaults(persist_dir=persist_dir),
- service_context=service_context,
)
# initialize the citation query engine
query_engine = CitationQueryEngine.from_args(
diff --git a/llama-index-integrations/readers/llama-index-readers-singlestore/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-singlestore/pyproject.toml
index 780fab1efe4ba92e904190378bc8b3cf8b5f9164..78f4d6a5399b326e642d1a1040660d8ac9e573bf 100644
--- a/llama-index-integrations/readers/llama-index-readers-singlestore/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-singlestore/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["singlestore"]
name = "llama-index-readers-singlestore"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-readers-database = "^0.1.1"
+llama-index-readers-database = "^0.2.0"
pymysql = "^1.1.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-slack/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-slack/pyproject.toml
index 4fd4c193e4441a9123ad5311be589d2e9354fb6f..6d194161e8074171dcea15edb34185e0ef0bbab2 100644
--- a/llama-index-integrations/readers/llama-index-readers-slack/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-slack/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-readers-slack"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
slack-sdk = "^3.26.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-smart-pdf-loader/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-smart-pdf-loader/pyproject.toml
index 7e59cad5cd9f6235f7bd4095efea1642ab5c995f..5ad807a7e92afdefdf00df7ff41dab2cca6b2759 100644
--- a/llama-index-integrations/readers/llama-index-readers-smart-pdf-loader/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-smart-pdf-loader/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["ansukla"]
name = "llama-index-readers-smart-pdf-loader"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
llmsherpa = "^0.1.4"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-snowflake/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-snowflake/pyproject.toml
index b606de360fb556b9e8d2e823536cb459a12bbb5a..0ce1cbdb3e25321c54c54e981889788c08e5f4d9 100644
--- a/llama-index-integrations/readers/llama-index-readers-snowflake/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-snowflake/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["godwin3737"]
name = "llama-index-readers-snowflake"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-snscrape-twitter/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-snscrape-twitter/pyproject.toml
index 1585373bf18934ff53196f9c578db2a9b229270e..6c482aa3992ab1694f13c1abded88308ee9f6f75 100644
--- a/llama-index-integrations/readers/llama-index-readers-snscrape-twitter/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-snscrape-twitter/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["smyja"]
name = "llama-index-readers-snscrape-twitter"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.dependencies.snscrape]
git = "https://github.com/JustAnotherArchivist/snscrape.git"
diff --git a/llama-index-integrations/readers/llama-index-readers-spotify/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-spotify/pyproject.toml
index 869d9a0fd1e0560a0cd4c94f064ef61cf6699739..091d61aa27932b137038082c9d8d14e0f3b5ce73 100644
--- a/llama-index-integrations/readers/llama-index-readers-spotify/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-spotify/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["ong"]
name = "llama-index-readers-spotify"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
spotipy = "^2.23.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-stackoverflow/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-stackoverflow/pyproject.toml
index 326bee3cc2d6f81d0458759f40b7f7ceb09545d1..32f910501563ee9baf308a682b8aeefefcf83957 100644
--- a/llama-index-integrations/readers/llama-index-readers-stackoverflow/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-stackoverflow/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["allen-munsch"]
name = "llama-index-readers-stackoverflow"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
requests = "^2.31.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-steamship/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-steamship/pyproject.toml
index 69f684875e4fcacf6fcd4331a4314a19ebd2deb3..116fbc1d01dec3dd32bef1afd0366c22c3210804 100644
--- a/llama-index-integrations/readers/llama-index-readers-steamship/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-steamship/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["douglas-reid"]
name = "llama-index-readers-steamship"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-string-iterable/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-string-iterable/pyproject.toml
index e8075825fd4438aeb62ce66f9245ec821aa1c96d..d2d14449126fc7cd80b781675e05f145c2f6773c 100644
--- a/llama-index-integrations/readers/llama-index-readers-string-iterable/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-string-iterable/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-readers-string-iterable"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-stripe-docs/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-stripe-docs/pyproject.toml
index c1835653d1067373038f3cfb915f2a4948cdb9da..5f1d4561db0c1dc99393b378bdb6aa17dfb717f6 100644
--- a/llama-index-integrations/readers/llama-index-readers-stripe-docs/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-stripe-docs/pyproject.toml
@@ -29,14 +29,14 @@ license = "MIT"
maintainers = ["amorriscode"]
name = "llama-index-readers-stripe-docs"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.11.post1"
-html2text = "^2020.1.16"
+html2text = "^2024.2.26"
urllib3 = "^2.1.0"
-llama-index-readers-web = "^0.1.6"
+llama-index-readers-web = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-structured-data/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-structured-data/pyproject.toml
index 0428b38f4f77ef55a41d6139f71a68073bc83914..827e00060a420ab1c8c365bf072c3f83423b15cb 100644
--- a/llama-index-integrations/readers/llama-index-readers-structured-data/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-structured-data/pyproject.toml
@@ -30,11 +30,12 @@ license = "MIT"
name = "llama-index-readers-structured-data"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
+pandas = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/readers/llama-index-readers-telegram/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-telegram/pyproject.toml
index 5607edf848fe94d119e0becefcd44792a84bb407..b5dab6df348fe0b12b1e22422c2f7600a452b38c 100644
--- a/llama-index-integrations/readers/llama-index-readers-telegram/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-telegram/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["diicell"]
name = "llama-index-readers-telegram"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
telethon = "^1.33.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-toggl/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-toggl/pyproject.toml
index a181a0d2206d9a251e2b398b957aa56007b2f8a9..f4a4490c18f8fe3c2c6b2a1a2419fac87bac17e4 100644
--- a/llama-index-integrations/readers/llama-index-readers-toggl/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-toggl/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-readers-toggl"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
python-toggl = "^1.1.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/readers/llama-index-readers-trello/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-trello/pyproject.toml
index 3a558f872c5522c9eea508bc468921870bf2e23d..05ef5f1af494b2ea24eef576abce24c0f1679b63 100644
--- a/llama-index-integrations/readers/llama-index-readers-trello/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-trello/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["bluzir"]
name = "llama-index-readers-trello"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
py-trello = "^0.19.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-twitter/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-twitter/pyproject.toml
index e6ab9f02a8bd43fa2505d407336e6c516a6f6bf4..29228b26e2bf21dd93552cdc02a27b09cdaf71b4 100644
--- a/llama-index-integrations/readers/llama-index-readers-twitter/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-twitter/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["ravi03071991"]
name = "llama-index-readers-twitter"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
tweepy = "^4.14.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-txtai/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-txtai/pyproject.toml
index a351fef725cfb792753c3f2816f83d5cb4f15a14..335e395cf5cc8502ed01ef5b491346505da7cee2 100644
--- a/llama-index-integrations/readers/llama-index-readers-txtai/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-txtai/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-readers-txtai"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-upstage/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-upstage/pyproject.toml
index 051b6773e439ae348b1043853b9dac09b1ebaf86..0f1098b8b057747a07566d98c27bdc663624b65b 100644
--- a/llama-index-integrations/readers/llama-index-readers-upstage/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-upstage/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-readers-upstage"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
pymupdf = "^1.23.21"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/readers/llama-index-readers-weather/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-weather/pyproject.toml
index 369a1b62585e0e123dbfab9736c91d4d8b941fe4..be1d08bf7abbf894ed8ffa87716c16892765ca37 100644
--- a/llama-index-integrations/readers/llama-index-readers-weather/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-weather/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["iamadhee"]
name = "llama-index-readers-weather"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pyowm = "^3.3.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-weaviate/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-weaviate/pyproject.toml
index 7b76448bffe03a78f18e6953efe7c382d6e9d43b..63bf6a916ea7c6b08f6c784669fc02ddb353dc9a 100644
--- a/llama-index-integrations/readers/llama-index-readers-weaviate/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-weaviate/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-readers-weaviate"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
weaviate-client = "^3.26.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-web/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-web/pyproject.toml
index 39f1ae6cc69c2237cb55fff671d4d582769061a2..0e6a83a2b752771ccfe4401c3f2338ca88c23c3f 100644
--- a/llama-index-integrations/readers/llama-index-readers-web/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-web/pyproject.toml
@@ -45,11 +45,10 @@ license = "MIT"
maintainers = ["HawkClaws", "Hironsan", "NA", "an-bluecat", "bborn", "jasonwcfan", "kravetsmic", "pandazki", "ruze00", "selamanse", "thejessezhang"]
name = "llama-index-readers-web"
readme = "README.md"
-version = "0.1.23"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
selenium = "^4.17.2"
chromedriver-autoinstaller = "^0.6.3"
html2text = "^2024.2.26"
@@ -60,6 +59,7 @@ urllib3 = ">=1.1.0"
playwright = ">=1.30,<2.0"
newspaper3k = "^0.2.8"
spider-client = "^0.0.27"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-whatsapp/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-whatsapp/pyproject.toml
index c78db49c75e8e36e597c7efa63990310c6e0af6e..1ffaf731f126b51e0b54234ebfe80319db7b2dae 100644
--- a/llama-index-integrations/readers/llama-index-readers-whatsapp/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-whatsapp/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["batmanscode"]
name = "llama-index-readers-whatsapp"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.11.post1"
pandas = "^2.2.0"
chat-miner = "^0.5.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-wikipedia/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-wikipedia/pyproject.toml
index ed69108be64e0b04cfddfd4055a5c4c4a660b064..910fee4de967414ea86c5f6a205ffb11d05bffa5 100644
--- a/llama-index-integrations/readers/llama-index-readers-wikipedia/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-wikipedia/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-readers-wikipedia"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-wordlift/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-wordlift/pyproject.toml
index 527d3531d1e3fe8c3975831f94f8862a3400f353..2aa027fb14fcea4abce1f28be4c49049549b2ced 100644
--- a/llama-index-integrations/readers/llama-index-readers-wordlift/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-wordlift/pyproject.toml
@@ -29,14 +29,14 @@ license = "MIT"
maintainers = ["msftwarelab"]
name = "llama-index-readers-wordlift"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
langchain = "^0.1.4"
graphql-core = "^3.2.3"
bs4 = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-wordpress/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-wordpress/pyproject.toml
index dd4c92f9c3572831d80222cec3f559032e2f4302..0342f560f8155745fbb8ef6da55b7466af908a66 100644
--- a/llama-index-integrations/readers/llama-index-readers-wordpress/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-wordpress/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["bbornsztein"]
name = "llama-index-readers-wordpress"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-youtube-metadata/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-youtube-metadata/pyproject.toml
index 32bba3d780ee8fb67dec86264da4b94cd4e6d03c..01a66a6cb3f9eb60298b7ec0ad50322bc5024e3f 100644
--- a/llama-index-integrations/readers/llama-index-readers-youtube-metadata/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-youtube-metadata/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-readers-youtube-metadata"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
youtube-transcript-api = "^0.6.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/readers/llama-index-readers-youtube-transcript/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-youtube-transcript/pyproject.toml
index 6c6faaa0a754f2f6d33475c9e841fede870aaaac..671dc3bb3d079803a81f1c8cb0e42447586c0533 100644
--- a/llama-index-integrations/readers/llama-index-readers-youtube-transcript/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-youtube-transcript/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["ravi03071991"]
name = "llama-index-readers-youtube-transcript"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
youtube-transcript-api = ">=0.5.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-zendesk/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-zendesk/pyproject.toml
index a5204748273c390f36d59ea5f2ee4a114c84cbfc..ea653f9b777cfe70c961d33d17c4726a9c7d20d3 100644
--- a/llama-index-integrations/readers/llama-index-readers-zendesk/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-zendesk/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["bbornsztein"]
name = "llama-index-readers-zendesk"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
beautifulsoup4 = "^4.12.3"
requests = "^2.31.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-zep/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-zep/pyproject.toml
index 9529ff1d265c5546ca5e7108a8040e93b8510cbe..736d59948b6ecf3db3ec2a25ab7da5589196c5b2 100644
--- a/llama-index-integrations/readers/llama-index-readers-zep/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-zep/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["zep"]
name = "llama-index-readers-zep"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
-python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-zep-python = ">=1.0.0,<1.1.0"
+python = ">=3.9.0,<4.0"
+zep-python = "^1.5.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/readers/llama-index-readers-zulip/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-zulip/pyproject.toml
index 6543c89504ee125fbc38c82a4293857121415e95..58e3eaf90f9c601e63a3a9d762f53c3a0e4fdf00 100644
--- a/llama-index-integrations/readers/llama-index-readers-zulip/pyproject.toml
+++ b/llama-index-integrations/readers/llama-index-readers-zulip/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["plurigrid"]
name = "llama-index-readers-zulip"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/response_synthesizers/llama-index-response-synthesizers-google/pyproject.toml b/llama-index-integrations/response_synthesizers/llama-index-response-synthesizers-google/pyproject.toml
index 23fce426e2f874a3d45130d47f51854fa7d46a26..958a996addc150ec8b4fd3cb5bd1e61f1c3529d7 100644
--- a/llama-index-integrations/response_synthesizers/llama-index-response-synthesizers-google/pyproject.toml
+++ b/llama-index-integrations/response_synthesizers/llama-index-response-synthesizers-google/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-response-synthesizers-google"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.11.post1"
-llama-index-vector-stores-google = "^0.1.3"
+llama-index-vector-stores-google = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/retrievers/llama-index-retrievers-bedrock/pyproject.toml b/llama-index-integrations/retrievers/llama-index-retrievers-bedrock/pyproject.toml
index 177b04030bfd81223ea7893ca787c21826717228..bd9afb453f2b113bfe0fe324b4d3251f27537c41 100644
--- a/llama-index-integrations/retrievers/llama-index-retrievers-bedrock/pyproject.toml
+++ b/llama-index-integrations/retrievers/llama-index-retrievers-bedrock/pyproject.toml
@@ -27,11 +27,11 @@ license = "MIT"
name = "llama-index-retrievers-bedrock"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/retrievers/llama-index-retrievers-bm25/pyproject.toml b/llama-index-integrations/retrievers/llama-index-retrievers-bm25/pyproject.toml
index f26afc552cdfb2e9d7ccd2822eb4eb3b224a6ca8..80b8155095fca900441e1190cc59402d98ee2ce8 100644
--- a/llama-index-integrations/retrievers/llama-index-retrievers-bm25/pyproject.toml
+++ b/llama-index-integrations/retrievers/llama-index-retrievers-bm25/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-retrievers-bm25"
readme = "README.md"
-version = "0.2.2"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
bm25s = "^0.1.7"
pystemmer = "^2.2.0.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/retrievers/llama-index-retrievers-duckdb-retriever/pyproject.toml b/llama-index-integrations/retrievers/llama-index-retrievers-duckdb-retriever/pyproject.toml
index 128f878709aaba96e3ec2c33f64f87afea77bebf..a93a6e22264adca6a6dfbe3d6ef48e1662f3e99b 100644
--- a/llama-index-integrations/retrievers/llama-index-retrievers-duckdb-retriever/pyproject.toml
+++ b/llama-index-integrations/retrievers/llama-index-retrievers-duckdb-retriever/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-retrievers-duckdb-retriever"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pymongo = "^4.6.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/retrievers/llama-index-retrievers-mongodb-atlas-bm25-retriever/pyproject.toml b/llama-index-integrations/retrievers/llama-index-retrievers-mongodb-atlas-bm25-retriever/pyproject.toml
index e3f7c298c7a0df3dfa932f0c3f0d4f2b816b4b66..e0db2bb62d10d35ca6021789ea6f3acc38197cd0 100644
--- a/llama-index-integrations/retrievers/llama-index-retrievers-mongodb-atlas-bm25-retriever/pyproject.toml
+++ b/llama-index-integrations/retrievers/llama-index-retrievers-mongodb-atlas-bm25-retriever/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-retrievers-mongodb-atlas-bm25-retriever"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pymongo = "^4.6.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/retrievers/llama-index-retrievers-pathway/pyproject.toml b/llama-index-integrations/retrievers/llama-index-retrievers-pathway/pyproject.toml
index 51585cda900ada346d9283f89add9708802ba1e2..275b92726f5f75df57299f802fab7bb8d612163c 100644
--- a/llama-index-integrations/retrievers/llama-index-retrievers-pathway/pyproject.toml
+++ b/llama-index-integrations/retrievers/llama-index-retrievers-pathway/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-retrievers-pathway"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
requests = "^2.31.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/retrievers/llama-index-retrievers-vertexai-search/pyproject.toml b/llama-index-integrations/retrievers/llama-index-retrievers-vertexai-search/pyproject.toml
index 5d03228953d4d97d0755f0fc2134b6c3b51c3288..e2ec92833370b95391959d08de1fd9e0cb7cfc70 100644
--- a/llama-index-integrations/retrievers/llama-index-retrievers-vertexai-search/pyproject.toml
+++ b/llama-index-integrations/retrievers/llama-index-retrievers-vertexai-search/pyproject.toml
@@ -26,15 +26,15 @@ description = "llama-index retrievers vertex ai search integration"
license = "MIT"
name = "llama-index-retrievers-vertexai-search"
readme = "README.md"
-version = "0.0.1"
+version = "0.1.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.0"
google-cloud-aiplatform = "^1.53.0"
google-cloud-discoveryengine = "^0.11.13"
google-auth-httplib2 = "^0.2.0"
google-auth-oauthlib = "^1.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/retrievers/llama-index-retrievers-videodb/pyproject.toml b/llama-index-integrations/retrievers/llama-index-retrievers-videodb/pyproject.toml
index bb63a03d2e96132fa28c86517b0f8eada4b85b9e..7537ee1e739dea30a6517dc1b591b6206b27b947 100644
--- a/llama-index-integrations/retrievers/llama-index-retrievers-videodb/pyproject.toml
+++ b/llama-index-integrations/retrievers/llama-index-retrievers-videodb/pyproject.toml
@@ -32,12 +32,12 @@ maintainers = ["Rohit Garg <rohit@videodb.io>"]
name = "llama-index-retrievers-videodb"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
videodb = ">=0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/retrievers/llama-index-retrievers-you/pyproject.toml b/llama-index-integrations/retrievers/llama-index-retrievers-you/pyproject.toml
index 69d7e920dcb1fde416247a0015a2495fb73011a1..fc57a9e62bd71f4bc0bb8f24130e44acd946dca2 100644
--- a/llama-index-integrations/retrievers/llama-index-retrievers-you/pyproject.toml
+++ b/llama-index-integrations/retrievers/llama-index-retrievers-you/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-retrievers-you"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-azure/pyproject.toml b/llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-azure/pyproject.toml
index 9ec4d35ebcde76b6841c9012a329b1e2105bf93d..1390541d681df43ea897fd998a0676b36425d01c 100644
--- a/llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-azure/pyproject.toml
+++ b/llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-azure/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-chat-store-azure"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
azure-data-tables = "^12.5.0"
-llama-index-utils-azure = "^0.1.0"
+llama-index-utils-azure = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-redis/pyproject.toml b/llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-redis/pyproject.toml
index 218d13ff797b513182a05029e5f89f9b954d1ffb..50429344bbb7f98e9b69e58cd2f2bf6aef378a47 100644
--- a/llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-redis/pyproject.toml
+++ b/llama-index-integrations/storage/chat_store/llama-index-storage-chat-store-redis/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-chat-store-redis"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.11.post1"
redis = ">=4.1.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/docstore/llama-index-storage-docstore-azure/pyproject.toml b/llama-index-integrations/storage/docstore/llama-index-storage-docstore-azure/pyproject.toml
index c1e7c4fe7e9f04d06a7123ed2db669ff2e682128..afd60d4b73e1f83e0b76df2d60b5e7610fd2948b 100644
--- a/llama-index-integrations/storage/docstore/llama-index-storage-docstore-azure/pyproject.toml
+++ b/llama-index-integrations/storage/docstore/llama-index-storage-docstore-azure/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-docstore-azure"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-storage-kvstore-azure = "^0.1.0"
+llama-index-storage-kvstore-azure = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/docstore/llama-index-storage-docstore-dynamodb/pyproject.toml b/llama-index-integrations/storage/docstore/llama-index-storage-docstore-dynamodb/pyproject.toml
index fcfcebcad919f2f55eb6419bb77ceea4b1905e14..61d6711a9a2dac263ca32ee1634b597e542f48b9 100644
--- a/llama-index-integrations/storage/docstore/llama-index-storage-docstore-dynamodb/pyproject.toml
+++ b/llama-index-integrations/storage/docstore/llama-index-storage-docstore-dynamodb/pyproject.toml
@@ -27,12 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-docstore-dynamodb"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-storage-kvstore-dynamodb = "^0.1.1"
+llama-index-storage-kvstore-dynamodb = "^0.2.0"
+boto3 = "^1.35.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/docstore/llama-index-storage-docstore-elasticsearch/pyproject.toml b/llama-index-integrations/storage/docstore/llama-index-storage-docstore-elasticsearch/pyproject.toml
index f2b496ecfb41c6853c9e2adfd10e13fa23e1380c..fd0f6423192cc5607fc27cb62559f24e11e1d0e6 100644
--- a/llama-index-integrations/storage/docstore/llama-index-storage-docstore-elasticsearch/pyproject.toml
+++ b/llama-index-integrations/storage/docstore/llama-index-storage-docstore-elasticsearch/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-docstore-elasticsearch"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-storage-kvstore-elasticsearch = "^0.1.1"
+llama-index-storage-kvstore-elasticsearch = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/docstore/llama-index-storage-docstore-firestore/pyproject.toml b/llama-index-integrations/storage/docstore/llama-index-storage-docstore-firestore/pyproject.toml
index 14cd09533c9ed6c3281e47eb0e5365c764b221f1..c3524a7a9a4efb04ed3595129cc1234230c22c3b 100644
--- a/llama-index-integrations/storage/docstore/llama-index-storage-docstore-firestore/pyproject.toml
+++ b/llama-index-integrations/storage/docstore/llama-index-storage-docstore-firestore/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-docstore-firestore"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-storage-kvstore-firestore = ">=0.1.1"
+llama-index-storage-kvstore-firestore = "^0.3.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/docstore/llama-index-storage-docstore-mongodb/pyproject.toml b/llama-index-integrations/storage/docstore/llama-index-storage-docstore-mongodb/pyproject.toml
index 884c985b3bfd81502391f9ff305028854d4d8629..530c4056095a21c7ecb622f801c1e80edc9d240f 100644
--- a/llama-index-integrations/storage/docstore/llama-index-storage-docstore-mongodb/pyproject.toml
+++ b/llama-index-integrations/storage/docstore/llama-index-storage-docstore-mongodb/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-docstore-mongodb"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-storage-kvstore-mongodb = "^0.1.1"
+llama-index-storage-kvstore-mongodb = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/docstore/llama-index-storage-docstore-postgres/pyproject.toml b/llama-index-integrations/storage/docstore/llama-index-storage-docstore-postgres/pyproject.toml
index 3e6d29dd8df3ad17e5fbe70481e195b224c124a7..fd1bfebd86e805a5c2507456ac67e56ee26cace8 100644
--- a/llama-index-integrations/storage/docstore/llama-index-storage-docstore-postgres/pyproject.toml
+++ b/llama-index-integrations/storage/docstore/llama-index-storage-docstore-postgres/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-docstore-postgres"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-storage-kvstore-postgres = "^0.1.2"
+llama-index-storage-kvstore-postgres = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/docstore/llama-index-storage-docstore-redis/pyproject.toml b/llama-index-integrations/storage/docstore/llama-index-storage-docstore-redis/pyproject.toml
index 96259820f91970b6f4e8ba5b9bd9de3fe4ef9a1a..274eca9f4cd32ef5b87f75f30e526a960debaa45 100644
--- a/llama-index-integrations/storage/docstore/llama-index-storage-docstore-redis/pyproject.toml
+++ b/llama-index-integrations/storage/docstore/llama-index-storage-docstore-redis/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-docstore-redis"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-storage-kvstore-redis = "^0.1.1"
+llama-index-storage-kvstore-redis = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/index_store/llama-index-storage-index-store-azure/pyproject.toml b/llama-index-integrations/storage/index_store/llama-index-storage-index-store-azure/pyproject.toml
index 74be16574ee4a4d566d725cc706395362e1308ae..819e47cd9d4c792bcd5e7cd5b8a0eb841b55a705 100644
--- a/llama-index-integrations/storage/index_store/llama-index-storage-index-store-azure/pyproject.toml
+++ b/llama-index-integrations/storage/index_store/llama-index-storage-index-store-azure/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-index-store-azure"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.61"
-llama-index-storage-kvstore-azure = "^0.1.0"
+llama-index-storage-kvstore-azure = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/index_store/llama-index-storage-index-store-dynamodb/pyproject.toml b/llama-index-integrations/storage/index_store/llama-index-storage-index-store-dynamodb/pyproject.toml
index 5a77d17c42962789f7eeaf22cc0ee3ab132250b1..6bb24625891ed1446d38a253d9df67032112aa9e 100644
--- a/llama-index-integrations/storage/index_store/llama-index-storage-index-store-dynamodb/pyproject.toml
+++ b/llama-index-integrations/storage/index_store/llama-index-storage-index-store-dynamodb/pyproject.toml
@@ -27,12 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-index-store-dynamodb-store"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.61"
-llama-index-storage-kvstore-dynamodb = "^0.1.1"
+llama-index-storage-kvstore-dynamodb = "^0.2.0"
+llama-index-core = "^0.11.0"
+boto3 = "^1.35.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/index_store/llama-index-storage-index-store-elasticsearch/pyproject.toml b/llama-index-integrations/storage/index_store/llama-index-storage-index-store-elasticsearch/pyproject.toml
index ddd6acd2d55449db9fdb0a1ae9cb9b64064d6f15..2c7e0ca8c4bccb5380e625d802ed3bc00b838970 100644
--- a/llama-index-integrations/storage/index_store/llama-index-storage-index-store-elasticsearch/pyproject.toml
+++ b/llama-index-integrations/storage/index_store/llama-index-storage-index-store-elasticsearch/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-index-store-elasticsearch"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.61"
-llama-index-storage-kvstore-elasticsearch = "^0.1.1"
+llama-index-storage-kvstore-elasticsearch = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/index_store/llama-index-storage-index-store-firestore/pyproject.toml b/llama-index-integrations/storage/index_store/llama-index-storage-index-store-firestore/pyproject.toml
index 3ca0859529b92ab0c9f2bec8dfff5ccaaacac7dc..6c1e7d8656f5d99e65d7d689fe315c75fe2d65c3 100644
--- a/llama-index-integrations/storage/index_store/llama-index-storage-index-store-firestore/pyproject.toml
+++ b/llama-index-integrations/storage/index_store/llama-index-storage-index-store-firestore/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-index-store-firestore"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.61"
-llama-index-storage-kvstore-firestore = ">=0.1.1"
+llama-index-storage-kvstore-firestore = "^0.3.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/index_store/llama-index-storage-index-store-mongodb/pyproject.toml b/llama-index-integrations/storage/index_store/llama-index-storage-index-store-mongodb/pyproject.toml
index ca2ce7096cfca12774629e6e6d4c429d495b486e..3daee5e25b788602c71f7b39462d8fd70f5ac792 100644
--- a/llama-index-integrations/storage/index_store/llama-index-storage-index-store-mongodb/pyproject.toml
+++ b/llama-index-integrations/storage/index_store/llama-index-storage-index-store-mongodb/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-index-store-mongodb"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.61"
-llama-index-storage-kvstore-mongodb = "^0.1.1"
+llama-index-storage-kvstore-mongodb = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/index_store/llama-index-storage-index-store-postgres/pyproject.toml b/llama-index-integrations/storage/index_store/llama-index-storage-index-store-postgres/pyproject.toml
index 11a5e8fdb443142234bcd94f4e84c845533514ab..127af1dd9de9d1e4a6f0cd471fe77f3e123c0fb2 100644
--- a/llama-index-integrations/storage/index_store/llama-index-storage-index-store-postgres/pyproject.toml
+++ b/llama-index-integrations/storage/index_store/llama-index-storage-index-store-postgres/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-index-store-postgres"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.61"
-llama-index-storage-kvstore-postgres = "^0.1.2"
+llama-index-storage-kvstore-postgres = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/index_store/llama-index-storage-index-store-redis/pyproject.toml b/llama-index-integrations/storage/index_store/llama-index-storage-index-store-redis/pyproject.toml
index bcb7352bc7d991bd0b5ad84ec3e481a504d1a32b..1d731eef40c667fd90324439ed022ac6ea4e6fcc 100644
--- a/llama-index-integrations/storage/index_store/llama-index-storage-index-store-redis/pyproject.toml
+++ b/llama-index-integrations/storage/index_store/llama-index-storage-index-store-redis/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-index-store-redis"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.61"
-llama-index-storage-kvstore-redis = "^0.1.1"
+llama-index-storage-kvstore-redis = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-azure/pyproject.toml b/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-azure/pyproject.toml
index f92884f8e05150e8e230ee5c45f882c52c680e9f..2e0ae7a51b35c9c783b85adc7244045a402921e5 100644
--- a/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-azure/pyproject.toml
+++ b/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-azure/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-kvstore-azure"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
azure-data-tables = "^12.5.0"
-llama-index-utils-azure = "^0.1.0"
+llama-index-utils-azure = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-dynamodb/pyproject.toml b/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-dynamodb/pyproject.toml
index 5221a8f5a24fa1a7af38155bda28f058d58c3073..b40d9a45beb36c069e1a7d177af04480508e2cb8 100644
--- a/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-dynamodb/pyproject.toml
+++ b/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-dynamodb/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-kvstore-dynamodb"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
boto3 = "^1.34.27"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-elasticsearch/pyproject.toml b/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-elasticsearch/pyproject.toml
index 085f0f6125d5de2d63912864ecf77e3d600b7609..656b296628407844ea337318c31c5da1b69d6ba6 100644
--- a/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-elasticsearch/pyproject.toml
+++ b/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-elasticsearch/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-kvstore-elasticsearch"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
elasticsearch = "^8.12.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-firestore/pyproject.toml b/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-firestore/pyproject.toml
index 46f0a8c4898abd2fb3cb7fec097c3c824191edc0..f98462b3c85285d07e80abe1225641df06a1d535 100644
--- a/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-firestore/pyproject.toml
+++ b/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-firestore/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-kvstore-firestore"
readme = "README.md"
-version = "0.2.1"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.1"
google-cloud-firestore = "^2.14.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-mongodb/pyproject.toml b/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-mongodb/pyproject.toml
index 88cc3b7c6fae083e9b713dca28cd76157861bef5..4e5cb9729def266209d9b007a2c8eef85f9f10ed 100644
--- a/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-mongodb/pyproject.toml
+++ b/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-mongodb/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-kvstore-mongodb"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pymongo = "^4.6.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-postgres/pyproject.toml b/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-postgres/pyproject.toml
index 12409a6dde9f1378afbb4d23182c8dc9c29d7e53..9cdec6f55339119943f4ead460d59c12cc2a4585 100644
--- a/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-postgres/pyproject.toml
+++ b/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-postgres/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-kvstore-postgres"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
docker = "^7.0.0"
diff --git a/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-redis/pyproject.toml b/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-redis/pyproject.toml
index 5ac92ef3fd6aed3f9cfd3bb1d06de5c3cee1f899..98a858cd8910a6e192604caa3a7b9ee4f430fc03 100644
--- a/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-redis/pyproject.toml
+++ b/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-redis/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-kvstore-redis"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
redis = "^5.0.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-s3/pyproject.toml b/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-s3/pyproject.toml
index 6027a410fd798d1c63f910ceb3b0535f82e714f2..df0f97767fb6a4f017ef397409074fec26fcd4c4 100644
--- a/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-s3/pyproject.toml
+++ b/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-s3/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-storage-kvstore-s3"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
boto3 = "^1.34.27"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-arxiv/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-arxiv/pyproject.toml
index d9d83bd5a3d201e66c4ff778a9797a5357050d32..e7f2725b5467d939a26686cf69362f7af239a11c 100644
--- a/llama-index-integrations/tools/llama-index-tools-arxiv/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-arxiv/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-arxiv"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
arxiv = "^2.1.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-azure-code-interpreter/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-azure-code-interpreter/pyproject.toml
index a2a1c150f4d2e2ebb74177e5ce016db0fb7040a5..7debe687cc873516ad31fab679981e50a3bcfff2 100644
--- a/llama-index-integrations/tools/llama-index-tools-azure-code-interpreter/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-azure-code-interpreter/pyproject.toml
@@ -28,13 +28,13 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-azure-code-interpreter"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
azure-identity = "^1.16.0"
requests = "^2.31.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-azure-cv/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-azure-cv/pyproject.toml
index 41ee0901ee965b069141968c530c104a6ac53687..738d6d07e1a73884f9d28740155e18828ba50ae8 100644
--- a/llama-index-integrations/tools/llama-index-tools-azure-cv/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-azure-cv/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-azure-cv"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-azure-speech/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-azure-speech/pyproject.toml
index 620cc29b6e3d978659bc4478f9e2d2183e9d4a26..e20349166ea7a119f5eb937a05561bcb813f3bf0 100644
--- a/llama-index-integrations/tools/llama-index-tools-azure-speech/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-azure-speech/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-azure-speech"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-azure-translate/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-azure-translate/pyproject.toml
index cef3094efcf813bf53071c24d4e7a06836a60bca..60e67b6b46e93270f608426f4c26e3689012bbbd 100644
--- a/llama-index-integrations/tools/llama-index-tools-azure-translate/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-azure-translate/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-azure-translate"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-bing-search/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-bing-search/pyproject.toml
index 3cc4bf5e19e10089be9310d8f72f46884b0c9495..767a1b84358b1f49286eab1318cc88fa0fe61c00 100644
--- a/llama-index-integrations/tools/llama-index-tools-bing-search/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-bing-search/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-bing-search"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-box/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-box/pyproject.toml
index 094aa380ca7cdebc5425105c48143efd365913ea..6f226d1cf64cb184174392d1569c7abab5f6fe2e 100644
--- a/llama-index-integrations/tools/llama-index-tools-box/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-box/pyproject.toml
@@ -34,12 +34,14 @@ license = "MIT"
name = "llama-index-tools-box"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
box-sdk-gen = "^1.1.0"
+llama-index-readers-box = "^0.2.0"
+llama-index-agent-openai = "^0.3.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/tools/llama-index-tools-brave-search/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-brave-search/pyproject.toml
index fb8e44f548c73f73809ea06b38b11b46fa625c38..c87ad603418ade29a0c2c129ef76f7749f68890c 100644
--- a/llama-index-integrations/tools/llama-index-tools-brave-search/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-brave-search/pyproject.toml
@@ -31,11 +31,11 @@ license = "MIT"
name = "llama-index-tools-brave-search"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/tools/llama-index-tools-cassandra/llama_index/tools/cassandra/cassandra_database_wrapper.py b/llama-index-integrations/tools/llama-index-tools-cassandra/llama_index/tools/cassandra/cassandra_database_wrapper.py
index bac6c207620e612b3d54f9dfe824cbf72b0cd02b..21940416b12180c1ab86f67d8e8338bd0aadb23f 100644
--- a/llama-index-integrations/tools/llama-index-tools-cassandra/llama_index/tools/cassandra/cassandra_database_wrapper.py
+++ b/llama-index-integrations/tools/llama-index-tools-cassandra/llama_index/tools/cassandra/cassandra_database_wrapper.py
@@ -1,4 +1,5 @@
"""Apache Cassandra database wrapper."""
+
from __future__ import annotations
import re
@@ -6,7 +7,7 @@ import traceback
from typing import Any, Dict, List, Optional, Sequence, Tuple, Union
from cassandra.cluster import ResultSet, Session
-from llama_index.core.bridge.pydantic import BaseModel, Field, root_validator
+from llama_index.core.bridge.pydantic import BaseModel, Field, model_validator
IGNORED_KEYSPACES = [
"system",
@@ -488,7 +489,7 @@ class Table(BaseModel):
class Config:
frozen = True
- @root_validator()
+ @model_validator(mode="before")
def check_required_fields(cls, class_values: dict) -> dict:
if not class_values["columns"]:
raise ValueError("non-empty column list for must be provided")
diff --git a/llama-index-integrations/tools/llama-index-tools-cassandra/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-cassandra/pyproject.toml
index 6d3a446c127c8e27c9341af6e1dc0dde465d8814..3534b03f1171b08df685172b2ff44a7a04689fd3 100644
--- a/llama-index-integrations/tools/llama-index-tools-cassandra/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-cassandra/pyproject.toml
@@ -27,12 +27,12 @@ license = "MIT"
name = "llama-index-tools-cassandra"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
cassio = "^0.1.7"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/tools/llama-index-tools-chatgpt-plugin/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-chatgpt-plugin/pyproject.toml
index 06cc42959d364a30b850c8768b29c4826381388a..8593eb25b403d70aceadb527e43c9db8aaf740aa 100644
--- a/llama-index-integrations/tools/llama-index-tools-chatgpt-plugin/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-chatgpt-plugin/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-chatgpt-plugin"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-tools-openapi = "^0.1.3"
+llama-index-tools-openapi = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-code-interpreter/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-code-interpreter/pyproject.toml
index 463f634a8ea65d44c2056b99534a631d9917d189..cae7554358682116716232907d34f3bdc87a5df5 100644
--- a/llama-index-integrations/tools/llama-index-tools-code-interpreter/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-code-interpreter/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-code-interpreter"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-cogniswitch/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-cogniswitch/pyproject.toml
index f81bda93ea49d87dc088a0d3e207af85b3c49dbb..5a5d07dd3e12867d6333eba77584762b70a288f6 100644
--- a/llama-index-integrations/tools/llama-index-tools-cogniswitch/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-cogniswitch/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["cogniswitch"]
name = "llama-index-tools-cogniswitch"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-database/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-database/pyproject.toml
index 3b54163cbfb4cb3bc1044afeb2fd97ed9bb97ff1..454c229194bc151c744223f315665fdfea416ba7 100644
--- a/llama-index-integrations/tools/llama-index-tools-database/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-database/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-database"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-duckduckgo/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-duckduckgo/pyproject.toml
index 0defe0d8cdab948fe108b702bf20ce709d838e76..d7a08da5d58b2744a72a82e90cbdcb64374f37e9 100644
--- a/llama-index-integrations/tools/llama-index-tools-duckduckgo/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-duckduckgo/pyproject.toml
@@ -29,7 +29,7 @@ license = "MIT"
maintainers = ["leehuwuj"]
name = "llama-index-tools-duckduckgo"
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-exa/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-exa/pyproject.toml
index 67510085e877634b162a322378c1971e3c3e9dc1..f12f678777f71495d13ac0eecb256e6e8c2f41d1 100644
--- a/llama-index-integrations/tools/llama-index-tools-exa/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-exa/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["jeffzwang"]
name = "llama-index-tools-exa"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
exa-py = "^1.0.8"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-finance/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-finance/pyproject.toml
index ac113fc501e84efd84079bb1b7ada405fb444677..62c6bfdd9c7f16895aaca3f2e4731f2f98033464 100644
--- a/llama-index-integrations/tools/llama-index-tools-finance/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-finance/pyproject.toml
@@ -28,14 +28,15 @@ license = "MIT"
name = "llama-index-tools-finance"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.12"
-llama-index-core = "^0.10.0"
yfinance = "^0.2.36"
newsapi-python = "^0.2.7"
pytrends = "^4.9.2"
+pandas = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = ">=23.7.0,<=24.3.0"}
diff --git a/llama-index-integrations/tools/llama-index-tools-google/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-google/pyproject.toml
index d1281a6659af7b47023ec496722093d70b4c01c0..da0d642a43b08a8e562572d1f4124d7a9524340a 100644
--- a/llama-index-integrations/tools/llama-index-tools-google/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-google/pyproject.toml
@@ -31,15 +31,15 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-google"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
google-api-python-client = "^2.115.0"
google-auth-httplib2 = "^0.2.0"
google-auth-oauthlib = "^1.2.0"
beautifulsoup4 = "^4.12.3"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-graphql/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-graphql/pyproject.toml
index 22f1af9aa05b1db02845557f03fc8fb3d1fc903e..5b69c97e21337f4249f292224776e731bb4cf637 100644
--- a/llama-index-integrations/tools/llama-index-tools-graphql/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-graphql/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-graphql"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-ionic-shopping/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-ionic-shopping/pyproject.toml
index 4ce55d27c6c7c54d9989d154fff027feede5001a..0419defb3c934c0552494ed7aed54150fbcab9b0 100644
--- a/llama-index-integrations/tools/llama-index-tools-ionic-shopping/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-ionic-shopping/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["stewartjarod"]
name = "llama-index-tools-ionic-shopping"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
ionic-api-sdk = "^0.9.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-jina/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-jina/pyproject.toml
index 40f34f51f077ae7d65047421062ea723b1cbc914..244119de1b9f3f938fe339ea9c9c27c7787af9dd 100644
--- a/llama-index-integrations/tools/llama-index-tools-jina/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-jina/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-tools-jina"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
yarl = "^1.9.4"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/tools/llama-index-tools-metaphor/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-metaphor/pyproject.toml
index 31981034ea0b9bc73db3194e021bc75fd1f23ffb..9f63b9f72be2e6ef3f2b9ac94e50566a0573f25f 100644
--- a/llama-index-integrations/tools/llama-index-tools-metaphor/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-metaphor/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-metaphor"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
metaphor-python = "^0.1.23"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-multion/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-multion/pyproject.toml
index 8629199bac9275b0b0ac53f11042fad47e6f9616..b17cb5b66a79242c66e4c63bcb23bb6e791b5b70 100644
--- a/llama-index-integrations/tools/llama-index-tools-multion/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-multion/pyproject.toml
@@ -28,14 +28,14 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-multion"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
multion = "^0.3.11"
pytesseract = "^0.3.10"
pillow = "^10.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-neo4j/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-neo4j/pyproject.toml
index fcb9b9b0b356b5743f9bf8137f127851dd93103c..2c53380b244d54ea90b585c0d55958fb5e83f15b 100644
--- a/llama-index-integrations/tools/llama-index-tools-neo4j/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-neo4j/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["shahafp"]
name = "llama-index-tools-neo4j"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-graph-stores-neo4j = "^0.1.1"
+llama-index-graph-stores-neo4j = "^0.3.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-notion/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-notion/pyproject.toml
index d4615d118c7da8476b0b921d22b485cef3089a10..046e90ead4bed37e24b94f2ebb2f090a4ddf1717 100644
--- a/llama-index-integrations/tools/llama-index-tools-notion/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-notion/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-tools-notion"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-readers-notion = "^0.1.1"
+llama-index-readers-notion = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-openai/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-openai/pyproject.toml
index b06fbc440c69fccf0c583c66082ce971c044d7ae..a4e09ace5b20fa1f98c7d222625d59ab9848754a 100644
--- a/llama-index-integrations/tools/llama-index-tools-openai/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-openai/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["manelferreira_"]
name = "llama-index-tools-openai-image-generation"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-openapi/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-openapi/pyproject.toml
index 4954982b19ead459493cb1c0a395afeeeba97c07..34fb914225f0509fce4daf49ec4ca1187af8adf6 100644
--- a/llama-index-integrations/tools/llama-index-tools-openapi/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-openapi/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-openapi"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-passio-nutrition-ai/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-passio-nutrition-ai/pyproject.toml
index 65ec0189457c870652b8d0601505d65efed7c91a..3328555ddd638aa55e3ce2a2faff5aad158f8a02 100644
--- a/llama-index-integrations/tools/llama-index-tools-passio-nutrition-ai/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-passio-nutrition-ai/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["ivyas21"]
name = "llama-index-tools-passio-nutrition-ai"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-playgrounds/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-playgrounds/pyproject.toml
index a27756897732d439b6ec06fc54629589b483e058..79cd231d7d5aa866b0993dbf92e0db4cf8a3fc53 100644
--- a/llama-index-integrations/tools/llama-index-tools-playgrounds/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-playgrounds/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
maintainers = ["tachi"]
name = "llama-index-tools-playgrounds"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-tools-graphql = "^0.1.1"
+llama-index-tools-graphql = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-python-file/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-python-file/pyproject.toml
index 0a5ee7f85ed157e3b5a2fe5ddb9b4d6e232bc66a..86fb6737715a113062dcab503412e8ddafea3155 100644
--- a/llama-index-integrations/tools/llama-index-tools-python-file/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-python-file/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-python-file"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-requests/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-requests/pyproject.toml
index e95b74d852400782e8f2c3fdc1c2f82846b18945..b8fbe9a27a3f0f69ac95e42702586d472986c565 100644
--- a/llama-index-integrations/tools/llama-index-tools-requests/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-requests/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-requests"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-salesforce/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-salesforce/pyproject.toml
index 50b9b77a273d3ebc0420a4d75572440321f45a92..1172356bd734d5853436a61876b30bc32bac68b6 100644
--- a/llama-index-integrations/tools/llama-index-tools-salesforce/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-salesforce/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["chrispangg"]
name = "llama-index-tools-salesforce"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
simple-salesforce = "^1.12.5"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-shopify/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-shopify/pyproject.toml
index d3af3bbd0b54b555434be29fa88459e175822d79..80327a89b862466510365db0e7a617315d09771e 100644
--- a/llama-index-integrations/tools/llama-index-tools-shopify/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-shopify/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-shopify"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
shopifyapi = "^12.4.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-slack/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-slack/pyproject.toml
index 989f0245cfc75e0e079a01614b05836e4edb5440..e1cfaa70cf9ec96c6b9a8d054154134ec9a1cb21 100644
--- a/llama-index-integrations/tools/llama-index-tools-slack/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-slack/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-tools-slack"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-readers-slack = "^0.1.1"
+llama-index-readers-slack = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-tavily-research/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-tavily-research/pyproject.toml
index 6a726b3afcbf96690a8490e9deaf0801328f6ff9..02f145f6a4c8d83d7ca107b9e0829d39b8ab9e29 100644
--- a/llama-index-integrations/tools/llama-index-tools-tavily-research/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-tavily-research/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["rotemweiss57"]
name = "llama-index-tools-tavily-research"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
tavily-python = ">=0.2.4"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-text-to-image/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-text-to-image/pyproject.toml
index 6eea5b853f875c0c3b6b15f1ab835302479c6965..0fa5d75fb4dbb528150a5319c4bb7d6e89c0fe01 100644
--- a/llama-index-integrations/tools/llama-index-tools-text-to-image/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-text-to-image/pyproject.toml
@@ -28,14 +28,14 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-text-to-image"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.11.post1"
pillow = "^10.2.0"
matplotlib = "^3.8.2"
openai = ">=1.1.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-vector-db/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-vector-db/pyproject.toml
index 247206d735314155d39dfe23561eb353527daa64..26ec948d47ae6d1e19d404741e26ca255376bd12 100644
--- a/llama-index-integrations/tools/llama-index-tools-vector-db/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-vector-db/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-tools-vector-db"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-waii/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-waii/pyproject.toml
index aaff7bfb7396451a1c2e07fa9cf04880f3e64491..5887a726323950e49d4590187326c9753e4da9bf 100644
--- a/llama-index-integrations/tools/llama-index-tools-waii/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-waii/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["wangdatan"]
name = "llama-index-tools-waii"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
waii-sdk-py = "^1.9.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-weather/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-weather/pyproject.toml
index 14432a921da06e1281a5e001c6f85af0db2c39a5..50fa1ba5367804a12488fb94e446e4efa1964ca3 100644
--- a/llama-index-integrations/tools/llama-index-tools-weather/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-weather/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["logan-markewich"]
name = "llama-index-tools-weather"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-wikipedia/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-wikipedia/pyproject.toml
index bdc6d79bd2f82b0dc6f174d0d4ce2cedd7e02123..6449abe95bba1c8e48453e236eb3024b407fcb91 100644
--- a/llama-index-integrations/tools/llama-index-tools-wikipedia/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-wikipedia/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-wikipedia"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
wikipedia = ">=1.4,<2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-wolfram-alpha/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-wolfram-alpha/pyproject.toml
index 0ab126fedaf09bee14359cf77440b0da2e389049..3c86e0dae5295874df519b3c5dbce3da4d402bc9 100644
--- a/llama-index-integrations/tools/llama-index-tools-wolfram-alpha/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-wolfram-alpha/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-wolfram-alpha"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-yahoo-finance/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-yahoo-finance/pyproject.toml
index 884dcc3c2c1f085f5eda7928a74409ea9da9f971..3b26d885c2c9363b55311b963eb7c085dd38b7d0 100644
--- a/llama-index-integrations/tools/llama-index-tools-yahoo-finance/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-yahoo-finance/pyproject.toml
@@ -27,12 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-tools-yahoo-finance"
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
+pandas = "*"
yfinance = "^0.2.36"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-yelp/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-yelp/pyproject.toml
index d5ccc33e57b45e63526e0d8196d9379819e6cd75..e2f48936984b1f7111590a7cb14d15bfe9da69ad 100644
--- a/llama-index-integrations/tools/llama-index-tools-yelp/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-yelp/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-yelp"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
yelpapi = "^2.5.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/tools/llama-index-tools-zapier/pyproject.toml b/llama-index-integrations/tools/llama-index-tools-zapier/pyproject.toml
index 8bc4a661605c897884df006e5d5bc7cbb1255052..3876b5078051277854cb5be12e1b1c732fa86afa 100644
--- a/llama-index-integrations/tools/llama-index-tools-zapier/pyproject.toml
+++ b/llama-index-integrations/tools/llama-index-tools-zapier/pyproject.toml
@@ -28,11 +28,11 @@ license = "MIT"
maintainers = ["ajhofmann"]
name = "llama-index-tools-zapier"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-alibabacloud-opensearch/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-alibabacloud-opensearch/pyproject.toml
index 18a3f1083d8f2b8e29a14b6dfe835e3aad0c3e00..23c64fa1df1e4d4abdc57820da6f432b39c28ed2 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-alibabacloud-opensearch/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-alibabacloud-opensearch/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-alibabacloud-opensearch"
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
alibabacloud_ha3engine_vector = "^1.1.3"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-analyticdb/llama_index/vector_stores/analyticdb/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-analyticdb/llama_index/vector_stores/analyticdb/base.py
index c170a33977632603c611172ae7bf9c69f3a21ed5..a3b04709bf5ba9ed3cc7ab6cff0f7ba06c3bafbb 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-analyticdb/llama_index/vector_stores/analyticdb/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-analyticdb/llama_index/vector_stores/analyticdb/base.py
@@ -57,9 +57,11 @@ def _recursively_parse_adb_filter(filters: MetadataFilters) -> Union[str, None]:
return None
return f" {filters.condition} ".join(
[
- _build_filter_clause(filter_)
- if isinstance(filter_, MetadataFilter)
- else f"({_recursively_parse_adb_filter(filter_)})"
+ (
+ _build_filter_clause(filter_)
+ if isinstance(filter_, MetadataFilter)
+ else f"({_recursively_parse_adb_filter(filter_)})"
+ )
for filter_ in filters.filters
]
)
@@ -87,7 +89,7 @@ class AnalyticDBVectorStore(BasePydanticVectorStore):
"""
stores_text: bool = True
- flat_metadata = False
+ flat_metadata: bool = False
region_id: str
instance_id: str
@@ -129,7 +131,6 @@ class AnalyticDBVectorStore(BasePydanticVectorStore):
raise ValueError("client not specified")
if not namespace_password:
namespace_password = account_password
- self._client = client
super().__init__(
region_id=region_id,
instance_id=instance_id,
@@ -141,6 +142,7 @@ class AnalyticDBVectorStore(BasePydanticVectorStore):
embedding_dimension=embedding_dimension,
metrics=metrics,
)
+ self._client = client
@classmethod
def _initialize_client(
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-analyticdb/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-analyticdb/pyproject.toml
index 23f3a8815e7302112acc76b42f50345565640c0c..59fe07e051f3f909e9b7f1718b2618b49ef4d9bc 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-analyticdb/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-analyticdb/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-analyticdb"
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
alibabacloud_gpdb20160503 = "^3.5.0"
alibabacloud_tea_openapi = "^0.3.8"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-astra-db/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-astra-db/pyproject.toml
index 5bbdbe4517b48846cbd9cf19d2f8f56c8d3148c4..bf0b7b79149ae024a6662437bbbcecf061bf7d53 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-astra-db/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-astra-db/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-astra-db"
readme = "README.md"
-version = "0.1.8"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
astrapy = "^1.3"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-awadb/llama_index/vector_stores/awadb/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-awadb/llama_index/vector_stores/awadb/base.py
index bacb965aec2b65364990f9297de211ddfd2d9eba..3f8f7cc4e1b44a7da8db957826ee444c56564949 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-awadb/llama_index/vector_stores/awadb/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-awadb/llama_index/vector_stores/awadb/base.py
@@ -45,7 +45,7 @@ class AwaDBVectorStore(BasePydanticVectorStore):
flat_metadata: bool = True
stores_text: bool = True
- DEFAULT_TABLE_NAME = "llamaindex_awadb"
+ DEFAULT_TABLE_NAME: str = "llamaindex_awadb"
_awadb_client: Any = PrivateAttr()
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-awadb/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-awadb/pyproject.toml
index 80c65f07fb45e549b46d0a58c55bc4a164096f79..178832ae1b8e8085bbb5c19c034764f2c521bc44 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-awadb/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-awadb/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-awadb"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-awsdocdb/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-awsdocdb/pyproject.toml
index 84f3bae966c1033de542023716d4f514b3be4159..37a2826ee135a5a39096cfd5b8f7ec226b9a9790 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-awsdocdb/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-awsdocdb/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-awsdocdb"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pymongo = "^4.6.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/llama_index/vector_stores/azureaisearch/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/llama_index/vector_stores/azureaisearch/base.py
index 9eda3776e6ea480a0d24cfc147025b92a004aafa..cc600f5e19e626abe880d457a740ac92a457f6eb 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/llama_index/vector_stores/azureaisearch/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/llama_index/vector_stores/azureaisearch/base.py
@@ -530,6 +530,8 @@ class AzureAISearchVectorStore(BasePydanticVectorStore):
except ImportError:
raise ImportError(import_err_msg)
+ super().__init__()
+
self._index_client: SearchIndexClient = cast(SearchIndexClient, None)
self._async_index_client: AsyncSearchIndexClient = cast(
AsyncSearchIndexClient, None
@@ -662,8 +664,6 @@ class AzureAISearchVectorStore(BasePydanticVectorStore):
if self._index_management == IndexManagement.VALIDATE_INDEX:
self._validate_index(index_name)
- super().__init__()
-
@property
def client(self) -> Any:
"""Get client."""
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/pyproject.toml
index 1d1f0394d29ac88e1868cf1305baf2cf315310f8..cf668e0bca596f20e6fdb57db4c240b7d58132e9 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-azureaisearch/pyproject.toml
@@ -28,12 +28,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-azureaisearch"
readme = "README.md"
-version = "0.1.14"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
azure-search-documents = "^11.4.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-azurecosmosmongo/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-azurecosmosmongo/pyproject.toml
index ed34b87db49fe7edd219ee84b046c852a7d13664..aaa40949fb4bc3e0766965a7e3a3c4e4ed79f1c2 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-azurecosmosmongo/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-azurecosmosmongo/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-azurecosmosmongo"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pymongo = "^4.6.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-bagel/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-bagel/pyproject.toml
index 7be8b046e1e9523ac9cea1b1b21ee934f53d9024..099d31028a1b9acc1ec66849303dd0c85cd6ff63 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-bagel/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-bagel/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-bagel"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-baiduvectordb/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-baiduvectordb/pyproject.toml
index f8002baa1125b0d8888e7a49bb2aca52a583b0b7..1e6d97ffe686f700c965b0193a22ed6b1988c61f 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-baiduvectordb/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-baiduvectordb/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-vector-stores-baiduvectordb"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
pymochow = "^1.0.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-cassandra/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-cassandra/pyproject.toml
index ba96aa2bb9a69c7fbfffa840130cbab0eccef17e..8cc090aeaa139d175ac4003eb654aaab661ae65b 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-cassandra/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-cassandra/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-cassandra"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
cassio = "^0.1.4"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-chatgpt-plugin/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-chatgpt-plugin/pyproject.toml
index c0feb7ec5cd3bb0ea84e215bfe908320ee4d9ef4..e8b7dd4b1bd542e98eb760b96e44cea9182ee8ec 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-chatgpt-plugin/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-chatgpt-plugin/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-chatgpt-plugin"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-chroma/llama_index/vector_stores/chroma/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-chroma/llama_index/vector_stores/chroma/base.py
index b70f0e4213598c53a47b0d4a337bc81d85b05ca0..d871c1652edb9834924d6bbca56ee2905bedf5a7 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-chroma/llama_index/vector_stores/chroma/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-chroma/llama_index/vector_stores/chroma/base.py
@@ -164,13 +164,6 @@ class ChromaVectorStore(BasePydanticVectorStore):
) -> None:
"""Init params."""
collection_kwargs = collection_kwargs or {}
- if chroma_collection is None:
- client = chromadb.HttpClient(host=host, port=port, ssl=ssl, headers=headers)
- self._collection = client.get_or_create_collection(
- name=collection_name, **collection_kwargs
- )
- else:
- self._collection = cast(Collection, chroma_collection)
super().__init__(
host=host,
@@ -181,6 +174,13 @@ class ChromaVectorStore(BasePydanticVectorStore):
persist_dir=persist_dir,
collection_kwargs=collection_kwargs or {},
)
+ if chroma_collection is None:
+ client = chromadb.HttpClient(host=host, port=port, ssl=ssl, headers=headers)
+ self._collection = client.get_or_create_collection(
+ name=collection_name, **collection_kwargs
+ )
+ else:
+ self._collection = cast(Collection, chroma_collection)
@classmethod
def from_collection(cls, collection: Any) -> "ChromaVectorStore":
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-chroma/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-chroma/pyproject.toml
index 5cadfface5875b9ae30b58b53c820b1951839ace..d6f4c031ca981c417169519662b68b17b4da153c 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-chroma/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-chroma/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-chroma"
readme = "README.md"
-version = "0.1.10"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
chromadb = ">=0.4.0,<0.6.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-clickhouse/llama_index/vector_stores/clickhouse/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-clickhouse/llama_index/vector_stores/clickhouse/base.py
index f844b4ce9ec2e30ab5846fb915104169a0caf19a..09542565569929e06fd197550578612558c9aa8d 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-clickhouse/llama_index/vector_stores/clickhouse/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-clickhouse/llama_index/vector_stores/clickhouse/base.py
@@ -157,8 +157,8 @@ class ClickHouseVectorStore(BasePydanticVectorStore):
```
"""
- stores_text = True
- flat_metadata = False
+ stores_text: bool = True
+ flat_metadata: bool = False
_table_existed: bool = PrivateAttr(default=False)
_client: Any = PrivateAttr()
_config: Any = PrivateAttr()
@@ -167,9 +167,9 @@ class ClickHouseVectorStore(BasePydanticVectorStore):
_column_names: List[str] = PrivateAttr()
_column_type_names: List[str] = PrivateAttr()
metadata_column: str = "metadata"
- AMPLIFY_RATIO_LE5 = 100
- AMPLIFY_RATIO_GT5 = 20
- AMPLIFY_RATIO_GT50 = 10
+ AMPLIFY_RATIO_LE5: int = 100
+ AMPLIFY_RATIO_GT5: int = 20
+ AMPLIFY_RATIO_GT50: int = 10
def __init__(
self,
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-clickhouse/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-clickhouse/pyproject.toml
index 884c32a9bf9285da35814fb2b0a53e1f55ed97c2..7fb5e3d8708646aad4458436423739cec9df553b 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-clickhouse/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-clickhouse/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-clickhouse"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.5"
clickhouse-connect = "^0.7.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-couchbase/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-couchbase/pyproject.toml
index 3a6d90abee5b3bcabdc16e27e98858bc5dc259a9..be230c0a42b5cb5a07ca5a595705997929de2aa9 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-couchbase/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-couchbase/pyproject.toml
@@ -30,12 +30,13 @@ license = "MIT"
name = "llama-index-vector-stores-couchbase"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = ">=0.10.1"
couchbase = "^4.2.0"
+llama-index-embeddings-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-dashvector/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-dashvector/pyproject.toml
index 05ad6406a5b1720ec3cbe1d9d3d489584349de0e..66d8aa14ff73835e5ec71aac00e0582b578d9db3 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-dashvector/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-dashvector/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-dashvector"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
dashvector = "^1.0.9"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-databricks/llama_index/vector_stores/databricks/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-databricks/llama_index/vector_stores/databricks/base.py
index e5cb92b4abf49ea909ba95c34a5aa6e493f92e72..284c403c68812d0b86a51bcfcfa646b75a11d286 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-databricks/llama_index/vector_stores/databricks/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-databricks/llama_index/vector_stores/databricks/base.py
@@ -126,6 +126,8 @@ class DatabricksVectorSearch(BasePydanticVectorStore):
text_column: Optional[str] = None,
columns: Optional[List[str]] = None,
) -> None:
+ super().__init__(text_column=text_column, columns=columns)
+
try:
from databricks.vector_search.client import VectorSearchIndex
except ImportError:
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-databricks/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-databricks/pyproject.toml
index 97c3b4aaf0cd73cdf4b5f0b450f1c68c716e8e9f..1e9f0ce27600405d3cc66e5bb090de25c9f61ec0 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-databricks/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-databricks/pyproject.toml
@@ -26,12 +26,12 @@ description = "llama-index vector_stores databricks vector search integration"
license = "MIT"
name = "llama-index-vector-stores-databricks"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.2"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.12"
-llama-index-core = "^0.10.1"
databricks-vectorsearch = "^0.21"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-deeplake/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-deeplake/pyproject.toml
index 3258578a395fb6e65859a04adb296af17543bd80..1694d686deb51ae3c578e763af257bc7a4e1c35d 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-deeplake/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-deeplake/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-deeplake"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.1"
deeplake = ">=3.9.12"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-docarray/llama_index/vector_stores/BUILD b/llama-index-integrations/vector_stores/llama-index-vector-stores-docarray/llama_index/vector_stores/BUILD
deleted file mode 100644
index db46e8d6c978c67e301dd6c47bee08c1b3fd141c..0000000000000000000000000000000000000000
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-docarray/llama_index/vector_stores/BUILD
+++ /dev/null
@@ -1 +0,0 @@
-python_sources()
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-docarray/llama_index/vector_stores/txtai.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-docarray/llama_index/vector_stores/txtai.py
deleted file mode 100644
index 5c0322167fb3238e874ab966ff02d115dbc4ecaa..0000000000000000000000000000000000000000
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-docarray/llama_index/vector_stores/txtai.py
+++ /dev/null
@@ -1,231 +0,0 @@
-"""txtai Vector store index.
-
-An index that is built on top of an existing vector store.
-
-"""
-
-import json
-import logging
-import os
-import pickle
-from pathlib import Path
-from typing import Any, List, Optional, cast
-
-import fsspec
-import numpy as np
-from fsspec.implementations.local import LocalFileSystem
-from llama_index.bridge.pydantic import PrivateAttr
-from llama_index.schema import BaseNode
-from llama_index.vector_stores.simple import DEFAULT_VECTOR_STORE, NAMESPACE_SEP
-from llama_index.vector_stores.types import (
- DEFAULT_PERSIST_DIR,
- DEFAULT_PERSIST_FNAME,
- BasePydanticVectorStore,
- VectorStoreQuery,
- VectorStoreQueryResult,
-)
-
-logger = logging.getLogger()
-
-DEFAULT_PERSIST_PATH = os.path.join(
- DEFAULT_PERSIST_DIR, f"{DEFAULT_VECTOR_STORE}{NAMESPACE_SEP}{DEFAULT_PERSIST_FNAME}"
-)
-IMPORT_ERROR_MSG = """
- `txtai` package not found. For instructions on
- how to install `txtai` please visit
- https://neuml.github.io/txtai/install/
-"""
-
-
-class TxtaiVectorStore(BasePydanticVectorStore):
- """txtai Vector Store.
-
- Embeddings are stored within a txtai index.
-
- During query time, the index uses txtai to query for the top
- k embeddings, and returns the corresponding indices.
-
- Args:
- txtai_index (txtai.ann.ANN): txtai index instance
-
- """
-
- stores_text: bool = False
-
- _txtai_index = PrivateAttr()
-
- def __init__(
- self,
- txtai_index: Any,
- ) -> None:
- """Initialize params."""
- try:
- import txtai
- except ImportError:
- raise ImportError(IMPORT_ERROR_MSG)
-
- self._txtai_index = cast(txtai.ann.ANN, txtai_index)
-
- super().__init__()
-
- @classmethod
- def from_persist_dir(
- cls,
- persist_dir: str = DEFAULT_PERSIST_DIR,
- fs: Optional[fsspec.AbstractFileSystem] = None,
- ) -> "TxtaiVectorStore":
- persist_path = os.path.join(
- persist_dir,
- f"{DEFAULT_VECTOR_STORE}{NAMESPACE_SEP}{DEFAULT_PERSIST_FNAME}",
- )
- # only support local storage for now
- if fs and not isinstance(fs, LocalFileSystem):
- raise NotImplementedError("txtai only supports local storage for now.")
- return cls.from_persist_path(persist_path=persist_path, fs=None)
-
- @classmethod
- def from_persist_path(
- cls,
- persist_path: str,
- fs: Optional[fsspec.AbstractFileSystem] = None,
- ) -> "TxtaiVectorStore":
- try:
- import txtai
- except ImportError:
- raise ImportError(IMPORT_ERROR_MSG)
-
- if fs and not isinstance(fs, LocalFileSystem):
- raise NotImplementedError("txtai only supports local storage for now.")
-
- if not os.path.exists(persist_path):
- raise ValueError(f"No existing {__name__} found at {persist_path}.")
-
- logger.info(f"Loading {__name__} config from {persist_path}.")
- parent_directory = Path(persist_path).parent
- config_path = parent_directory / "config.json"
- jsonconfig = config_path.exists()
- # Determine if config is json or pickle
- config_path = config_path if jsonconfig else parent_directory / "config"
- # Load configuration
- with open(config_path, "r" if jsonconfig else "rb") as f:
- config = json.load(f) if jsonconfig else pickle.load(f)
-
- logger.info(f"Loading {__name__} from {persist_path}.")
- txtai_index = txtai.ann.ANNFactory.create(config)
- txtai_index.load(persist_path)
- return cls(txtai_index=txtai_index)
-
- def add(
- self,
- nodes: List[BaseNode],
- **add_kwargs: Any,
- ) -> List[str]:
- """Add nodes to index.
-
- Args:
- nodes: List[BaseNode]: list of nodes with embeddings
-
- """
- text_embedding_np = np.array(
- [node.get_embedding() for node in nodes], dtype="float32"
- )
-
- # Check if the ann index is already created
- # If not create the index with node embeddings
- if self._txtai_index.backend is None:
- self._txtai_index.index(text_embedding_np)
- else:
- self._txtai_index.append(text_embedding_np)
-
- indx_size = self._txtai_index.count()
- return [str(idx) for idx in range(indx_size - len(nodes) + 1, indx_size + 1)]
-
- @property
- def client(self) -> Any:
- """Return the txtai index."""
- return self._txtai_index
-
- def persist(
- self,
- persist_path: str = DEFAULT_PERSIST_PATH,
- fs: Optional[fsspec.AbstractFileSystem] = None,
- ) -> None:
- """Save to file.
-
- This method saves the vector store to disk.
-
- Args:
- persist_path (str): The save_path of the file.
-
- """
- if fs and not isinstance(fs, LocalFileSystem):
- raise NotImplementedError("txtai only supports local storage for now.")
-
- dirpath = Path(persist_path).parent
- dirpath.mkdir(exist_ok=True)
-
- jsonconfig = self._txtai_index.config.get("format", "pickle") == "json"
- # Determine if config is json or pickle
- config_path = dirpath / "config.json" if jsonconfig else dirpath / "config"
-
- # Write configuration
- with open(
- config_path,
- "w" if jsonconfig else "wb",
- encoding="utf-8" if jsonconfig else None,
- ) as f:
- if jsonconfig:
- # Write config as JSON
- json.dump(self._txtai_index.config, f, default=str)
- else:
- from txtai.version import __pickle__
-
- # Write config as pickle format
- pickle.dump(self._txtai_index.config, f, protocol=__pickle__)
-
- self._txtai_index.save(persist_path)
-
- def delete(self, ref_doc_id: str, **delete_kwargs: Any) -> None:
- """
- Delete nodes using with ref_doc_id.
-
- Args:
- ref_doc_id (str): The doc_id of the document to delete.
-
- """
- self._txtai_index.delete([int(ref_doc_id)])
-
- def query(
- self,
- query: VectorStoreQuery,
- **kwargs: Any,
- ) -> VectorStoreQueryResult:
- """Query index for top k most similar nodes.
-
- Args:
- query (VectorStoreQuery): query to search for in the index
-
- """
- if query.filters is not None:
- raise ValueError("Metadata filters not implemented for txtai yet.")
-
- query_embedding = cast(List[float], query.query_embedding)
- query_embedding_np = np.array(query_embedding, dtype="float32")[np.newaxis, :]
- search_result = self._txtai_index.search(
- query_embedding_np, query.similarity_top_k
- )[0]
- # if empty, then return an empty response
- if len(search_result) == 0:
- return VectorStoreQueryResult(similarities=[], ids=[])
-
- filtered_dists = []
- filtered_node_idxs = []
- for dist, idx in search_result:
- if idx < 0:
- continue
- filtered_dists.append(dist)
- filtered_node_idxs.append(str(idx))
-
- return VectorStoreQueryResult(
- similarities=filtered_dists, ids=filtered_node_idxs
- )
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-docarray/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-docarray/pyproject.toml
index 80ca96de89d557e4309d85a4fdaf4ae21b49e4b2..3d2ffe6cc234a1a387f7887395e6347dfb4a03d3 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-docarray/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-docarray/pyproject.toml
@@ -28,12 +28,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-docarray"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
docarray = "^0.40.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-duckdb/llama_index/vector_stores/duckdb/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-duckdb/llama_index/vector_stores/duckdb/base.py
index 231b75d90f5842a13ea3b524641630355726d2bc..5ce76c34cf3ef3a3b1cd6f4826a8ae0f9ef0270a 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-duckdb/llama_index/vector_stores/duckdb/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-duckdb/llama_index/vector_stores/duckdb/base.py
@@ -119,27 +119,26 @@ class DuckDBVectorStore(BasePydanticVectorStore):
except ImportError:
raise ImportError(import_err_msg)
- self._is_initialized = False
-
+ database_path = None
if database_name == ":memory:":
_home_dir = os.path.expanduser("~")
- self._conn = duckdb.connect(database_name)
- self._conn.execute(f"SET home_directory='{_home_dir}';")
- self._conn.install_extension("json")
- self._conn.load_extension("json")
- self._conn.install_extension("fts")
- self._conn.load_extension("fts")
+ conn = duckdb.connect(database_name)
+ conn.execute(f"SET home_directory='{_home_dir}';")
+ conn.install_extension("json")
+ conn.load_extension("json")
+ conn.install_extension("fts")
+ conn.load_extension("fts")
else:
# check if persist dir exists
if not os.path.exists(persist_dir):
os.makedirs(persist_dir)
- self._database_path = os.path.join(persist_dir, database_name)
+ database_path = os.path.join(persist_dir, database_name)
- with DuckDBLocalContext(self._database_path) as _conn:
+ with DuckDBLocalContext(database_path) as _conn:
pass
- self._conn = None
+ conn = None
super().__init__(
database_name=database_name,
@@ -150,6 +149,9 @@ class DuckDBVectorStore(BasePydanticVectorStore):
text_search_config=text_search_config,
persist_dir=persist_dir,
)
+ self._is_initialized = False
+ self._conn = conn
+ self._database_path = database_path
@classmethod
def from_local(
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-duckdb/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-duckdb/pyproject.toml
index 65dff6b8ab92a790c78231ecd8fb5941f5bf4980..7c9a021eb8aee5f53d2ebc98b38dfaa16982c7c5 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-duckdb/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-duckdb/pyproject.toml
@@ -28,12 +28,12 @@ license = "MIT"
maintainers = ["krish-adi"]
name = "llama-index-vector-stores-duckdb"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
duckdb = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-dynamodb/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-dynamodb/pyproject.toml
index 676a01377bdb132de26ee5c117c37f01ece9e17f..216d2d756a6e53d427710f5d7039518b9bc02784 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-dynamodb/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-dynamodb/pyproject.toml
@@ -27,12 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-dynamodb"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-storage-kvstore-dynamodb = "^0.1.1"
+boto3 = "^1.35.0"
+llama-index-storage-kvstore-dynamodb = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-elasticsearch/llama_index/vector_stores/elasticsearch/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-elasticsearch/llama_index/vector_stores/elasticsearch/base.py
index 15f97f6e63edf2b8ec269671fbf73d76a3af265d..a3cce6bef3b866d7b4706f5b80943620737f5d3d 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-elasticsearch/llama_index/vector_stores/elasticsearch/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-elasticsearch/llama_index/vector_stores/elasticsearch/base.py
@@ -243,16 +243,6 @@ class ElasticsearchStore(BasePydanticVectorStore):
metadata_mappings = metadata_mappings or {}
metadata_mappings.update(base_metadata_mappings)
- self._store = AsyncVectorStore(
- user_agent=get_user_agent(),
- client=es_client,
- index=index_name,
- retrieval_strategy=retrieval_strategy,
- text_field=text_field,
- vector_field=vector_field,
- metadata_mappings=metadata_mappings,
- )
-
super().__init__(
index_name=index_name,
es_client=es_client,
@@ -268,6 +258,16 @@ class ElasticsearchStore(BasePydanticVectorStore):
retrieval_strategy=retrieval_strategy,
)
+ self._store = AsyncVectorStore(
+ user_agent=get_user_agent(),
+ client=es_client,
+ index=index_name,
+ retrieval_strategy=retrieval_strategy,
+ text_field=text_field,
+ vector_field=vector_field,
+ metadata_mappings=metadata_mappings,
+ )
+
# Disable query embeddings when using Sparse vectors or BM25.
# ELSER generates its own embeddings server-side
if not isinstance(retrieval_strategy, AsyncDenseVectorStrategy):
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-elasticsearch/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-elasticsearch/pyproject.toml
index 654e2e86411c1fc66947707d0ab1e001320c9cdd..c640f6a19f428109c8cfaea71b859c71bb59ed1c 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-elasticsearch/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-elasticsearch/pyproject.toml
@@ -27,18 +27,19 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-elasticsearch"
readme = "README.md"
-version = "0.2.5"
+version = "0.3.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
elasticsearch = "^8.13.1"
aiohttp = "^3.9.5"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
jupyter = "^1.0.0"
mypy = "0.991"
+pandas = "*"
pre-commit = "3.2.0"
pylint = "2.15.10"
pytest = "7.2.1"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-epsilla/llama_index/vector_stores/epsilla/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-epsilla/llama_index/vector_stores/epsilla/base.py
index c7511c1d592892933243c5bd4af14a8dfc01170b..77f05be02d3202187f2997ec0b49de47ce8e4db7 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-epsilla/llama_index/vector_stores/epsilla/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-epsilla/llama_index/vector_stores/epsilla/base.py
@@ -67,7 +67,7 @@ class EpsillaVectorStore(BasePydanticVectorStore):
```
"""
- stores_text = True
+ stores_text: bool = True
flat_metadata: bool = False
_client: vectordb.Client = PrivateAttr()
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-epsilla/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-epsilla/pyproject.toml
index 9147cc16b92454686ddcf4ca9f81b141e07fa50c..6269f1f351f755da68b6eb186151307449f8bd56 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-epsilla/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-epsilla/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-epsilla"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pyepsilla = "^0.3.3"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-faiss/llama_index/vector_stores/faiss/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-faiss/llama_index/vector_stores/faiss/base.py
index b43f53cdad9d29cf97cb6a2b4e59e0626b04a0bf..c3fc1f0ae02ab2b31fb38a461c7822ac58beac38 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-faiss/llama_index/vector_stores/faiss/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-faiss/llama_index/vector_stores/faiss/base.py
@@ -74,10 +74,10 @@ class FaissVectorStore(BasePydanticVectorStore):
except ImportError:
raise ImportError(import_err_msg)
- self._faiss_index = cast(faiss.Index, faiss_index)
-
super().__init__()
+ self._faiss_index = cast(faiss.Index, faiss_index)
+
@classmethod
def from_persist_dir(
cls,
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-faiss/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-faiss/pyproject.toml
index b21e810e50a158a93890c20bea9588bb716f6634..a42f05418ceb4bf287ec524612d63077ac450c72 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-faiss/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-faiss/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-faiss"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-firestore/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-firestore/pyproject.toml
index 124563ab64bf82786adfc8d5d3251223f744f92a..9ff793db1100e752f956f5a446041275b205815f 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-firestore/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-firestore/pyproject.toml
@@ -30,13 +30,13 @@ license = "MIT"
name = "llama-index-vector-store-firestore"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
google-cloud-firestore = ">=2.16.0,<3.0.0"
more_itertools = ">=10.2.0,<11.0.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-google/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-google/pyproject.toml
index ceaaa04b15e6837cd6d334d4e00a6751ba063d07..787734b81273d094e096a6a9bc0e6df1891d242e 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-google/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-google/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-google"
readme = "README.md"
-version = "0.1.7"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.11.post1"
google-generativeai = "^0.5.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-hologres/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-hologres/pyproject.toml
index ceacbe3a6372e4c17f6b205a2acc6c4b25d90c1b..9dc94069178a8849e1203da32e4a911574d80aa6 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-hologres/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-hologres/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-hologres"
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
hologres-vector = "0.0.10"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-jaguar/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-jaguar/pyproject.toml
index b64e33daa8de55bdb30584e713d1e2f7e7327ad3..3ddd1455859326f7b7ab0e1b6cd3a83f96cfd0d0 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-jaguar/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-jaguar/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-jaguar"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
jaguardb-http-client = "^3.4.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-kdbai/llama_index/vector_stores/kdbai/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-kdbai/llama_index/vector_stores/kdbai/base.py
index ca1c208b39a117212e7ef82a8c4417afb0fe449b..f4217000be3ff59ee9ca0874e95795d0df6b1f40 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-kdbai/llama_index/vector_stores/kdbai/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-kdbai/llama_index/vector_stores/kdbai/base.py
@@ -76,6 +76,8 @@ class KDBAIVectorStore(BasePydanticVectorStore):
"Please add it to the dependencies."
)
+ super().__init__(batch_size=batch_size, hybrid_search=hybrid_search)
+
if table is None:
raise ValueError("Must provide an existing KDB.AI table.")
else:
@@ -87,8 +89,6 @@ class KDBAIVectorStore(BasePydanticVectorStore):
else:
self._sparse_encoder = sparse_encoder
- super().__init__(batch_size=batch_size, hybrid_search=hybrid_search)
-
@property
def client(self) -> Any:
"""Return KDB.AI client."""
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-kdbai/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-kdbai/pyproject.toml
index 276507aa9064d05c6b5d6671cdd147920a353b27..df1e4d78a1877ceeae571b01025445f855448c01 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-kdbai/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-kdbai/pyproject.toml
@@ -30,13 +30,14 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-kdbai"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
pykx = "^2.1.1"
kdbai-client = ">=1.1.0"
+pandas = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-lancedb/llama_index/vector_stores/lancedb/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-lancedb/llama_index/vector_stores/lancedb/base.py
index 84952ecd9a05a7f55225348ce8cfef0399b98f79..8184b543308756235d4ecbd87b57f8cdbfd5eba6 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-lancedb/llama_index/vector_stores/lancedb/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-lancedb/llama_index/vector_stores/lancedb/base.py
@@ -182,6 +182,20 @@ class LanceDBVectorStore(BasePydanticVectorStore):
**kwargs: Any,
) -> None:
"""Init params."""
+ super().__init__(
+ uri=uri,
+ table_name=table_name,
+ vector_column_name=vector_column_name,
+ nprobes=nprobes,
+ refine_factor=refine_factor,
+ text_key=text_key,
+ doc_id_key=doc_id_key,
+ mode=mode,
+ query_type=query_type,
+ overfetch_factor=overfetch_factor,
+ **kwargs,
+ )
+
self._table_name = table_name
self._metadata_keys = None
self._fts_index = None
@@ -236,20 +250,6 @@ class LanceDBVectorStore(BasePydanticVectorStore):
else:
self._table = None
- super().__init__(
- uri=uri,
- table_name=table_name,
- vector_column_name=vector_column_name,
- nprobes=nprobes,
- refine_factor=refine_factor,
- text_key=text_key,
- doc_id_key=doc_id_key,
- mode=mode,
- query_type=query_type,
- overfetch_factor=overfetch_factor,
- **kwargs,
- )
-
@property
def client(self) -> None:
"""Get client."""
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-lancedb/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-lancedb/pyproject.toml
index de22ca841e6f06e8c2655e93e89eb3f79b55add2..b024abc16c63d338cd6a3af1368252813bf1ca1e 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-lancedb/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-lancedb/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-lancedb"
readme = "README.md"
-version = "0.1.7"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.1"
lancedb = ">=0.8.0"
tantivy = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-lantern/llama_index/vector_stores/lantern/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-lantern/llama_index/vector_stores/lantern/base.py
index 7580ad76b02abbeddb65150933aa59b29918eca0..aa2c42a92657588462f4c6b23f3ae01dd431129d 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-lantern/llama_index/vector_stores/lantern/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-lantern/llama_index/vector_stores/lantern/base.py
@@ -1,5 +1,5 @@
import logging
-from typing import Any, List, NamedTuple, Optional, Type
+from typing import Any, List, NamedTuple, Optional, Type, TYPE_CHECKING
import asyncpg # noqa
import psycopg2 # noqa
@@ -19,6 +19,9 @@ from llama_index.core.vector_stores.utils import (
node_to_metadata_dict,
)
+if TYPE_CHECKING:
+ from sqlalchemy.sql.selectable import Select
+
class DBEmbeddingRow(NamedTuple):
node_id: str # FIXME: verify this type hint
@@ -155,10 +158,8 @@ class LanternVectorStore(BasePydanticVectorStore):
"""
- from sqlalchemy.sql.selectable import Select
-
- stores_text = True
- flat_metadata = False
+ stores_text: bool = True
+ flat_metadata: bool = False
connection_string: str
async_connection_string: str
@@ -206,6 +207,19 @@ class LanternVectorStore(BasePydanticVectorStore):
from sqlalchemy.orm import declarative_base
+ super().__init__(
+ connection_string=connection_string,
+ async_connection_string=async_connection_string,
+ table_name=table_name,
+ schema_name=schema_name,
+ hybrid_search=hybrid_search,
+ text_search_config=text_search_config,
+ embed_dim=embed_dim,
+ cache_ok=cache_ok,
+ perform_setup=perform_setup,
+ debug=debug,
+ )
+
# sqlalchemy model
self._base = declarative_base()
self._table_class = get_data_model(
@@ -221,19 +235,6 @@ class LanternVectorStore(BasePydanticVectorStore):
ef=ef,
)
- super().__init__(
- connection_string=connection_string,
- async_connection_string=async_connection_string,
- table_name=table_name,
- schema_name=schema_name,
- hybrid_search=hybrid_search,
- text_search_config=text_search_config,
- embed_dim=embed_dim,
- cache_ok=cache_ok,
- perform_setup=perform_setup,
- debug=debug,
- )
-
async def close(self) -> None:
if not self._is_initialized:
return
@@ -375,7 +376,7 @@ class LanternVectorStore(BasePydanticVectorStore):
def _apply_filters_and_limit(
self,
- stmt: Select,
+ stmt: "Select",
limit: int,
metadata_filters: Optional[MetadataFilters] = None,
) -> Any:
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-lantern/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-lantern/pyproject.toml
index 5c78b65cdb8ae2193cd02dfbf7cb88c2bd1e86be..7d2249ed4c0333beb6b7766412e35d0fc60cc527 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-lantern/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-lantern/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-lantern"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
psycopg2-binary = "^2.9.9"
asyncpg = "^0.29.0"
+llama-index-core = "^0.11.0"
[tool.poetry.dependencies.sqlalchemy]
extras = ["asyncio"]
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-lindorm/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-lindorm/pyproject.toml
index 2ae6bba69040a60ee58a3eeb97e6e32f9dd9485f..5bf4d40663261b8c0a54c281963e5b2abf92569e 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-lindorm/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-lindorm/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-lindorm"
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
opensearch-py = {extras = ["async"], version = "^2.4.2"}
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-metal/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-metal/pyproject.toml
index 0542e39ac0007308036d286d7b65f0413564c05f..699e6d944ae5d3637ae9a7a9c46752aa4b47eda4 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-metal/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-metal/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-metal"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
metal-sdk = "^2.5.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-milvus/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-milvus/pyproject.toml
index 99bef28abea442515e18b52b22d4833f6bd1c0f5..79d79693c99b09a45bc21bb1a4265deb8a714cbd 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-milvus/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-milvus/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-milvus"
readme = "README.md"
-version = "0.1.23"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pymilvus = "^2.3.6"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-mongodb/llama_index/vector_stores/mongodb/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-mongodb/llama_index/vector_stores/mongodb/base.py
index 5a3c55e08bdab40c1f3270acebd27cd6af5beeb9..3cfe7606d1ed6073aec2b6dd7f8a44dc81609910 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-mongodb/llama_index/vector_stores/mongodb/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-mongodb/llama_index/vector_stores/mongodb/base.py
@@ -140,6 +140,8 @@ class MongoDBAtlasVectorSearch(BasePydanticVectorStore):
index_name: DEPRECATED: Please use vector_index_name.
"""
+ super().__init__()
+
if mongodb_client is not None:
self._mongodb_client = cast(MongoClient, mongodb_client)
else:
@@ -171,7 +173,6 @@ class MongoDBAtlasVectorSearch(BasePydanticVectorStore):
self._fulltext_index_name = fulltext_index_name
self._insert_kwargs = insert_kwargs or {}
self._oversampling_factor = oversampling_factor
- super().__init__()
def add(
self,
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-mongodb/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-mongodb/pyproject.toml
index 576fe9566bd02d5c91d7976c99c10e9fb9a8b8a8..817f918190493c880d9d5f7c2cea39cb0a8fe12d 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-mongodb/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-mongodb/pyproject.toml
@@ -29,11 +29,10 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-mongodb"
readme = "README.md"
-version = "0.1.8"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pymongo = "^4.6.1"
[tool.poetry.group.dev.dependencies]
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-myscale/llama_index/vector_stores/myscale/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-myscale/llama_index/vector_stores/myscale/base.py
index 8956042c2c516e7a03b56c4da8e2fe8b9440f108..08365608864aba259c83b1de856e7d1bb55afb63 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-myscale/llama_index/vector_stores/myscale/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-myscale/llama_index/vector_stores/myscale/base.py
@@ -81,9 +81,9 @@ class MyScaleVectorStore(BasePydanticVectorStore):
stores_text: bool = True
metadata_column: str = "metadata"
- AMPLIFY_RATIO_LE5 = 100
- AMPLIFY_RATIO_GT5 = 20
- AMPLIFY_RATIO_GT50 = 10
+ AMPLIFY_RATIO_LE5: int = 100
+ AMPLIFY_RATIO_GT5: int = 20
+ AMPLIFY_RATIO_GT50: int = 10
_index_existed: bool = PrivateAttr(False)
_client: Any = PrivateAttr()
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-myscale/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-myscale/pyproject.toml
index 1b57431468ae3dbf93f76c4b6ffe03204719bbc8..8f046b549861183534f3badacc813d7807b7a1c0 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-myscale/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-myscale/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-myscale"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-readers-myscale = "^0.1.1"
+llama-index-readers-myscale = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-neo4jvector/llama_index/vector_stores/neo4jvector/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-neo4jvector/llama_index/vector_stores/neo4jvector/base.py
index 3386b6f8ec3d80537f7a2d783812c21c760dbef2..fff2f15e066ba4de1b43c3c92347075e5aa497db 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-neo4jvector/llama_index/vector_stores/neo4jvector/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-neo4jvector/llama_index/vector_stores/neo4jvector/base.py
@@ -200,7 +200,7 @@ class Neo4jVectorStore(BasePydanticVectorStore):
"""
stores_text: bool = True
- flat_metadata = True
+ flat_metadata: bool = True
distance_strategy: str
index_name: str
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-neo4jvector/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-neo4jvector/pyproject.toml
index e24e79ce781064224e07db33d32c8e05e6aa66e6..79b3920795222959e72334a4ea30db8ce67950cd 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-neo4jvector/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-neo4jvector/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-neo4jvector"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
neo4j = "^5.16.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-neptune/llama_index/vector_stores/neptune/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-neptune/llama_index/vector_stores/neptune/base.py
index 0b2d18e5d3fb46dba0c00177a075a49de26006f5..6ee4c2d517ac0e882a99de1983e3635467747724 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-neptune/llama_index/vector_stores/neptune/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-neptune/llama_index/vector_stores/neptune/base.py
@@ -40,7 +40,7 @@ class NeptuneVectorQueryException(Exception):
class NeptuneAnalyticsVectorStore(BasePydanticVectorStore):
stores_text: bool = True
- flat_metadata = True
+ flat_metadata: bool = True
node_label: str
graph_identifier: str
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-neptune/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-neptune/pyproject.toml
index b4ea1e16a97293d01ae3e9cabef528e377602475..c3d948025890a3f20f45a4a7581a3290949c30cf 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-neptune/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-neptune/pyproject.toml
@@ -30,12 +30,12 @@ license = "MIT"
name = "llama-index-vector-stores-neptune"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
boto3 = "^1.34.40"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-opensearch/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-opensearch/pyproject.toml
index 6e320f316f85b2ea9bc5504f3b45f5b03eabe1bb..dc78447bcd99dd2d2590fb699394d8e835cdd259 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-opensearch/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-opensearch/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-opensearch"
readme = "README.md"
-version = "0.1.14"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.dependencies.opensearch-py]
extras = ["async"]
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-pgvecto-rs/llama_index/vector_stores/pgvecto_rs/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-pgvecto-rs/llama_index/vector_stores/pgvecto_rs/base.py
index 8add8ecf2787c6f3133db0d1f66d2be32c944e6a..1174c9c9211286392b5989e09ceb0350d9ad4860 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-pgvecto-rs/llama_index/vector_stores/pgvecto_rs/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-pgvecto-rs/llama_index/vector_stores/pgvecto_rs/base.py
@@ -54,13 +54,13 @@ class PGVectoRsStore(BasePydanticVectorStore):
```
"""
- stores_text = True
+ stores_text: bool = True
_client: "PGVectoRs" = PrivateAttr()
def __init__(self, client: "PGVectoRs") -> None:
- self._client: PGVectoRs = client
super().__init__()
+ self._client: PGVectoRs = client
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-pgvecto-rs/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-pgvecto-rs/pyproject.toml
index 1ab740857058791b85faa9a833ebb77a1dfde6ec..188a53d8909a0fa2616658b940469b793b6037a9 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-pgvecto-rs/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-pgvecto-rs/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-pgvecto-rs"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.dependencies.pgvecto-rs]
extras = ["sdk"]
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-pinecone/llama_index/vector_stores/pinecone/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-pinecone/llama_index/vector_stores/pinecone/base.py
index d30a4e4864fdd3da4f445bb02f2d5a3227d974bd..ed94aabcfb882858f4c8522fe18da57fa1dc7f08 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-pinecone/llama_index/vector_stores/pinecone/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-pinecone/llama_index/vector_stores/pinecone/base.py
@@ -255,7 +255,6 @@ class PineconeVectorStore(BasePydanticVectorStore):
if tokenizer is None and add_sparse_vector:
tokenizer = get_default_tokenizer()
- self._tokenizer = tokenizer
super().__init__(
index_name=index_name,
@@ -269,6 +268,8 @@ class PineconeVectorStore(BasePydanticVectorStore):
remove_text_from_metadata=remove_text_from_metadata,
)
+ self._tokenizer = tokenizer
+
# TODO: Make following instance check stronger -- check if pinecone_index is not pinecone.Index, else raise
# ValueError
if isinstance(pinecone_index, str):
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-pinecone/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-pinecone/pyproject.toml
index e60eecbec2efe56be02f8903d4c3c7d859518580..2803a4f012308d943aa5c299d914da1e8269333b 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-pinecone/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-pinecone/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-pinecone"
readme = "README.md"
-version = "0.1.9"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.13"
-llama-index-core = "^0.10.11.post1"
pinecone-client = ">=3.2.2,<6.0.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-postgres/llama_index/vector_stores/postgres/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-postgres/llama_index/vector_stores/postgres/base.py
index bdc3c211cfb564d7f4a1414715d810ce644a3c33..21749780d0574855f650fb0c50408dde41efebaa 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-postgres/llama_index/vector_stores/postgres/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-postgres/llama_index/vector_stores/postgres/base.py
@@ -1,6 +1,6 @@
import logging
import re
-from typing import Any, Dict, List, NamedTuple, Optional, Type, Union
+from typing import Any, Dict, List, NamedTuple, Optional, Type, Union, TYPE_CHECKING
import asyncpg # noqa
import pgvector # noqa
@@ -23,6 +23,9 @@ from llama_index.core.vector_stores.utils import (
node_to_metadata_dict,
)
+if TYPE_CHECKING:
+ from sqlalchemy.sql.selectable import Select
+
class DBEmbeddingRow(NamedTuple):
node_id: str # FIXME: verify this type hint
@@ -131,10 +134,8 @@ class PGVectorStore(BasePydanticVectorStore):
```
"""
- from sqlalchemy.sql.selectable import Select
-
- stores_text = True
- flat_metadata = False
+ stores_text: bool = True
+ flat_metadata: bool = False
connection_string: str
async_connection_string: Union[str, sqlalchemy.engine.URL]
@@ -202,19 +203,6 @@ class PGVectorStore(BasePydanticVectorStore):
from sqlalchemy.orm import declarative_base
- # sqlalchemy model
- self._base = declarative_base()
- self._table_class = get_data_model(
- self._base,
- table_name,
- schema_name,
- hybrid_search,
- text_search_config,
- cache_ok,
- embed_dim=embed_dim,
- use_jsonb=use_jsonb,
- )
-
super().__init__(
connection_string=connection_string,
async_connection_string=async_connection_string,
@@ -230,6 +218,19 @@ class PGVectorStore(BasePydanticVectorStore):
hnsw_kwargs=hnsw_kwargs,
)
+ # sqlalchemy model
+ self._base = declarative_base()
+ self._table_class = get_data_model(
+ self._base,
+ table_name,
+ schema_name,
+ hybrid_search,
+ text_search_config,
+ cache_ok,
+ embed_dim=embed_dim,
+ use_jsonb=use_jsonb,
+ )
+
async def close(self) -> None:
if not self._is_initialized:
return
@@ -523,7 +524,7 @@ class PGVectorStore(BasePydanticVectorStore):
def _apply_filters_and_limit(
self,
- stmt: Select,
+ stmt: "Select",
limit: int,
metadata_filters: Optional[MetadataFilters] = None,
) -> Any:
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-postgres/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-postgres/pyproject.toml
index c8def4008ccd48b07c631962bef681e0ac31725b..74fe4bc1a2e6d82196e48078f0386dfc43b7a80e 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-postgres/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-postgres/pyproject.toml
@@ -27,14 +27,14 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-postgres"
readme = "README.md"
-version = "0.1.14"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.20"
pgvector = "^0.2.4"
psycopg2-binary = "^2.9.9"
asyncpg = "^0.29.0"
+llama-index-core = "^0.11.0"
[tool.poetry.dependencies.sqlalchemy]
extras = ["asyncio"]
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-qdrant/llama_index/vector_stores/qdrant/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-qdrant/llama_index/vector_stores/qdrant/base.py
index 5d174aa358ffcab71a3ee7533813c8f0af5d9589..4814155f128b7725f83c901ae5017c1827f2ee1c 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-qdrant/llama_index/vector_stores/qdrant/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-qdrant/llama_index/vector_stores/qdrant/base.py
@@ -151,6 +151,19 @@ class QdrantVectorStore(BasePydanticVectorStore):
**kwargs: Any,
) -> None:
"""Init params."""
+ super().__init__(
+ collection_name=collection_name,
+ url=url,
+ api_key=api_key,
+ batch_size=batch_size,
+ parallel=parallel,
+ max_retries=max_retries,
+ client_kwargs=client_kwargs or {},
+ enable_hybrid=enable_hybrid,
+ index_doc_id=index_doc_id,
+ fastembed_sparse_model=fastembed_sparse_model,
+ )
+
if (
client is None
and aclient is None
@@ -204,19 +217,6 @@ class QdrantVectorStore(BasePydanticVectorStore):
self._dense_config = dense_config
self._quantization_config = quantization_config
- super().__init__(
- collection_name=collection_name,
- url=url,
- api_key=api_key,
- batch_size=batch_size,
- parallel=parallel,
- max_retries=max_retries,
- client_kwargs=client_kwargs or {},
- enable_hybrid=enable_hybrid,
- index_doc_id=index_doc_id,
- fastembed_sparse_model=fastembed_sparse_model,
- )
-
@classmethod
def class_name(cls) -> str:
return "QdrantVectorStore"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-qdrant/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-qdrant/pyproject.toml
index 7fbce4d22bff8bea21818af681951bea7f94c8f6..746a8a7eb9c303c6fa77acaf0015dfddeca140af 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-qdrant/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-qdrant/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-qdrant"
readme = "README.md"
-version = "0.2.17"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.9,<3.13"
-llama-index-core = "^0.10.1"
qdrant-client = ">=1.7.1"
grpcio = "^1.60.0"
+llama-index-core = "^0.11.0"
[tool.poetry.extras]
fastembed = ["fastembed"]
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-redis/llama_index/vector_stores/redis/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-redis/llama_index/vector_stores/redis/base.py
index 872b296eba1a11c0c8e9582afc6feb48d2ae8dac..d37ecd8c193444025de3886a63a154b9ba99866a 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-redis/llama_index/vector_stores/redis/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-redis/llama_index/vector_stores/redis/base.py
@@ -103,9 +103,9 @@ class RedisVectorStore(BasePydanticVectorStore):
)
"""
- stores_text = True
- stores_node = True
- flat_metadata = False
+ stores_text: bool = True
+ stores_node: bool = True
+ flat_metadata: bool = False
_index: SearchIndex = PrivateAttr()
_overwrite: bool = PrivateAttr()
@@ -120,6 +120,7 @@ class RedisVectorStore(BasePydanticVectorStore):
return_fields: Optional[List[str]] = None,
**kwargs: Any,
) -> None:
+ super().__init__()
# check for indicators of old schema
self._flag_old_kwargs(**kwargs)
@@ -151,8 +152,6 @@ class RedisVectorStore(BasePydanticVectorStore):
# Create index
self.create_index()
- super().__init__()
-
def _flag_old_kwargs(self, **kwargs):
old_kwargs = [
"index_name",
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-redis/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-redis/pyproject.toml
index 4fda93eb0c9c51cc83bafa82cf92ce080c0d2d71..e0e2e7a7fde80b53389ab4b030df098c1972a943 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-redis/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-redis/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-redis"
readme = "README.md"
-version = "0.2.1"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
redisvl = "^0.1.3"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-relyt/llama_index/vector_stores/relyt/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-relyt/llama_index/vector_stores/relyt/base.py
index 12ff4fa3c0b2951e8965c3717103f3f027b1c957..5b57bae88e42670f58cbf84b69a17c8f0ea1b34e 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-relyt/llama_index/vector_stores/relyt/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-relyt/llama_index/vector_stores/relyt/base.py
@@ -54,16 +54,17 @@ class RelytVectorStore(BasePydanticVectorStore):
```
"""
- stores_text = True
+ stores_text: bool = True
_client: "PGVectoRs" = PrivateAttr()
_collection_name: str = PrivateAttr()
def __init__(self, client: "PGVectoRs", collection_name: str) -> None:
+ super().__init__()
+
self._client: PGVectoRs = client
self._collection_name = collection_name
self.init_index()
- super().__init__()
@classmethod
def class_name(cls) -> str:
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-relyt/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-relyt/pyproject.toml
index dd00ab1352b4770d29a2752ac02f0dc4a49d351d..bc1b58e40f0ea72ae7626e55efb37ad30e5e676e 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-relyt/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-relyt/pyproject.toml
@@ -27,13 +27,13 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-relyt"
readme = "README.md"
-version = "0.1.0"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pgvecto-rs = {extras = ["sdk"], version = "^0.1.4"}
sqlalchemy = ">=1.3.12,<3"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-rocksetdb/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-rocksetdb/pyproject.toml
index 4db97eed27d83803c75223d3729b45e7bb0e90d7..07142046e9356a9c7cd21e71deddbbcbb0d25731 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-rocksetdb/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-rocksetdb/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-rocksetdb"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
rockset = "^2.1.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-singlestoredb/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-singlestoredb/pyproject.toml
index de46c068b1923bbacdd993e411c386af66561c40..e19bef607b552e7e4fc4b75e56d3621be39f1cbd 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-singlestoredb/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-singlestoredb/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-singlestoredb"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
singlestoredb = "^0.10.5"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-supabase/llama_index/vector_stores/supabase/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-supabase/llama_index/vector_stores/supabase/base.py
index 6ec389a9cb3775bd87d9e888f0b21c1ef001ff3e..1ca96d10722404ed6d7fdef720204a54a735e79f 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-supabase/llama_index/vector_stores/supabase/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-supabase/llama_index/vector_stores/supabase/base.py
@@ -55,8 +55,8 @@ class SupabaseVectorStore(BasePydanticVectorStore):
"""
- stores_text = True
- flat_metadata = False
+ stores_text: bool = True
+ flat_metadata: bool = False
_client: Optional[Any] = PrivateAttr()
_collection: Optional[Collection] = PrivateAttr()
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-supabase/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-supabase/pyproject.toml
index 40469006e501a0c2ff75ea4cbd26fa9490076cb0..4e28252a47169bd818bf2d53f479ecf9f184bdf4 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-supabase/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-supabase/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-supabase"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
vecs = "^0.4.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-tair/llama_index/vector_stores/tair/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-tair/llama_index/vector_stores/tair/base.py
index b4975d52cd7cdc5d50ef626fcb178ad41f678be1..649dd8dbd377c5d8e795ce6bf6ec424a81d906f0 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-tair/llama_index/vector_stores/tair/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-tair/llama_index/vector_stores/tair/base.py
@@ -80,9 +80,9 @@ class TairVectorStore(BasePydanticVectorStore):
```
"""
- stores_text = True
- stores_node = True
- flat_metadata = False
+ stores_text: bool = True
+ stores_node: bool = True
+ flat_metadata: bool = False
_tair_client: Tair = PrivateAttr()
_index_name: str = PrivateAttr()
@@ -102,6 +102,7 @@ class TairVectorStore(BasePydanticVectorStore):
overwrite: bool = False,
**kwargs: Any,
) -> None:
+ super().__init__()
try:
self._tair_client = Tair.from_url(tair_url, **kwargs)
except ValueError as e:
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-tair/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-tair/pyproject.toml
index 71fa4445978254cacf00853b62817d6b5973acb8..80c772d56e9d671208378843f03eeb3d8a17babd 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-tair/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-tair/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-tair"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
tair = "^1.3.7"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-tencentvectordb/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-tencentvectordb/pyproject.toml
index fef446ff92e088cfc16cf8ed487592056c6326f7..472ce49116b396c7d8d2f1e4956d680b7d6c21fe 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-tencentvectordb/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-tencentvectordb/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-tencentvectordb"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-tidbvector/llama_index/vector_stores/tidbvector/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-tidbvector/llama_index/vector_stores/tidbvector/base.py
index 71d5df3c744bf7ed7b1a7db8f243c1dc794dfe8c..d4b20c8425c71fe0b9d9d84038b4188102dfbfd4 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-tidbvector/llama_index/vector_stores/tidbvector/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-tidbvector/llama_index/vector_stores/tidbvector/base.py
@@ -23,8 +23,8 @@ DEFAULT_DISTANCE_STRATEGY = "cosine" # or "l2"
class TiDBVectorStore(BasePydanticVectorStore):
- stores_text = True
- flat_metadata = False
+ stores_text: bool = True
+ flat_metadata: bool = False
_connection_string: str = PrivateAttr()
_engine_args: Dict[str, Any] = PrivateAttr()
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-tidbvector/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-tidbvector/pyproject.toml
index 7381553b470b0b86801ee859d60f86d778b8fc0a..ee79ae0892423a41c039150fcf0fc38eb79f589b 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-tidbvector/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-tidbvector/pyproject.toml
@@ -31,14 +31,14 @@ license = "MIT"
name = "llama-index-vector-stores-tidbvector"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = ">=0.10.1"
sqlalchemy = ">=1.4,<3"
tidb-vector = {extras = ["client"], version = ">=0.0.3,<1.0.0"}
pymysql = "^1.1.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-timescalevector/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-timescalevector/pyproject.toml
index 7a8702383550bf73754ed4b5190e2e331f0967f8..172ca7d51b202bcd291b2c1d283db23a5f9e617e 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-timescalevector/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-timescalevector/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-timescalevector"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
timescale-vector = "^0.0.4"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-txtai/llama_index/vector_stores/txtai/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-txtai/llama_index/vector_stores/txtai/base.py
index 3efa40699bc5a4533e262c44024fa82a92e21fef..a4e545ca1bd9e4d06a6ef5b6b7f57e04366cb3e8 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-txtai/llama_index/vector_stores/txtai/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-txtai/llama_index/vector_stores/txtai/base.py
@@ -76,10 +76,10 @@ class TxtaiVectorStore(BasePydanticVectorStore):
except ImportError:
raise ImportError(IMPORT_ERROR_MSG)
- self._txtai_index = cast(txtai.ann.ANN, txtai_index)
-
super().__init__()
+ self._txtai_index = cast(txtai.ann.ANN, txtai_index)
+
@classmethod
def from_persist_dir(
cls,
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-txtai/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-txtai/pyproject.toml
index 0e57ac4c051c44c591e89ca0b6e34e9fc1bb5225..c6381674b98746ac5e553b81e02ad2df07b6c8dc 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-txtai/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-txtai/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-txtai"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-typesense/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-typesense/pyproject.toml
index bf670dbead35c1730b8373999596348a00a454fc..df17deb57e213d8133808d5d7ad7d882e4304c00 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-typesense/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-typesense/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-typesense"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
typesense = "^0.19.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-upstash/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-upstash/pyproject.toml
index 365006ed981d2d2f7840f90e9461f911c8c2b76b..0b4867e2c5221d17b50d3f4e5d797a863fa2a80b 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-upstash/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-upstash/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-upstash"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
upstash-vector = "^0.4.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-vearch/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-vearch/pyproject.toml
index f35ac990d24d834fdb63297274dfd4d0a07a06f5..9808e0a1525f60a5017b2cd81562d6d7aa71b8c4 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-vearch/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-vearch/pyproject.toml
@@ -30,7 +30,7 @@ license = "MIT"
name = "llama-index-vector-stores-vearch"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-vertexaivectorsearch/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-vertexaivectorsearch/pyproject.toml
index 09bb68bda675616068590b39114949ca851a23c7..5e91047f9c497d6367311f15e992879bf3aec713 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-vertexaivectorsearch/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-vertexaivectorsearch/pyproject.toml
@@ -27,14 +27,14 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-vertexaivectorsearch"
readme = "README.md"
-version = "0.0.1"
+version = "0.1.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-embeddings-vertex = "^0.1.0"
+llama-index-embeddings-vertex = "^0.2.0"
google-cloud-aiplatform = "^1.39.0"
google-cloud-storage = "^2.16.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-vespa/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-vespa/pyproject.toml
index 0ad6eb67443a63449d9b5da28437554843f6fbed..426f4d382f8d35bf5e53ba149db2c8918f93be0f 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-vespa/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-vespa/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-vespa"
readme = "README.md"
-version = "0.0.2"
+version = "0.1.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pyvespa = "^0.40.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/llama_index/vector_stores/weaviate/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/llama_index/vector_stores/weaviate/base.py
index 9a09fdcb17d1a912c7b45d86fd6a3b6e57f730c5..ef81476a31b3939e4ce0eca3311e5a81634c718b 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/llama_index/vector_stores/weaviate/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/llama_index/vector_stores/weaviate/base.py
@@ -153,11 +153,11 @@ class WeaviateVectorStore(BasePydanticVectorStore):
auth_config = weaviate.auth.AuthApiKey(auth_config)
client_kwargs = client_kwargs or {}
- self._client = weaviate.WeaviateClient(
+ client = weaviate.WeaviateClient(
auth_client_secret=auth_config, **client_kwargs
)
else:
- self._client = cast(weaviate.WeaviateClient, weaviate_client)
+ client = cast(weaviate.WeaviateClient, weaviate_client)
# validate class prefix starts with a capital letter
if class_prefix is not None:
@@ -172,8 +172,8 @@ class WeaviateVectorStore(BasePydanticVectorStore):
)
# create default schema if does not exist
- if not class_schema_exists(self._client, index_name):
- create_default_schema(self._client, index_name)
+ if not class_schema_exists(client, index_name):
+ create_default_schema(client, index_name)
super().__init__(
url=url,
@@ -182,6 +182,7 @@ class WeaviateVectorStore(BasePydanticVectorStore):
auth_config=auth_config.__dict__ if auth_config else {},
client_kwargs=client_kwargs or {},
)
+ self._client = client
@classmethod
def from_params(
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/pyproject.toml
index 4a13351fcabfa08fa67e4a3745adc334299f8458..91ac1daf961ce96dac98db577bc0434e403aa9c2 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-weaviate/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-weaviate"
readme = "README.md"
-version = "1.0.2"
+version = "1.1.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
weaviate-client = "^4.5.7"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-wordlift/llama_index/vector_stores/wordlift/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-wordlift/llama_index/vector_stores/wordlift/base.py
index d7dca13cf0430826de4cf5d7009ee4b9e936c18a..49dc067d26050375342656cfe31fac2b378dfc81 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-wordlift/llama_index/vector_stores/wordlift/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-wordlift/llama_index/vector_stores/wordlift/base.py
@@ -74,6 +74,7 @@ class WordliftVectorStore(BasePydanticVectorStore):
configuration: Optional[Configuration] = None,
fields: Optional[List[str]] = None,
):
+ super().__init__(use_async=True)
nest_asyncio.apply()
if configuration is None:
@@ -86,8 +87,6 @@ class WordliftVectorStore(BasePydanticVectorStore):
else:
self._fields = fields
- super().__init__(use_async=True)
-
@property
def account(self) -> AccountInfo:
if self._account is None:
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-wordlift/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-wordlift/pyproject.toml
index a6f5854e007a028f5e0855ad356656e0c41a9c3e..7be7eaf7c73f4fe84a10ceb89c5c23a5cbd229ee 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-wordlift/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-wordlift/pyproject.toml
@@ -27,17 +27,18 @@ license = "MIT"
name = "llama-index-vector-stores-wordlift"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.3.0"
+version = "0.4.3"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-pydantic = ">=1.10"
+pydantic = ">=2.0,<3.0"
aiohttp = ">=3.7.4"
python-dateutil = ">=2.8.2"
aiohttp-retry = ">=1.2"
urllib3 = ">=1.21.1,<3"
wordlift-client = ">=1.42.0,<2"
+docker = "^7.1.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-zep/llama_index/vector_stores/zep/base.py b/llama-index-integrations/vector_stores/llama-index-vector-stores-zep/llama_index/vector_stores/zep/base.py
index 33bf75d3d8f170d57cb94c5367c6d211edc2009f..f7e830d1e932b1f60b5357a319977d83de0ade45 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-zep/llama_index/vector_stores/zep/base.py
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-zep/llama_index/vector_stores/zep/base.py
@@ -55,8 +55,8 @@ class ZepVectorStore(BasePydanticVectorStore):
```
"""
- stores_text = True
- flat_metadata = False
+ stores_text: bool = True
+ flat_metadata: bool = False
_client: ZepClient = PrivateAttr()
_collection: DocumentCollection = PrivateAttr()
diff --git a/llama-index-integrations/vector_stores/llama-index-vector-stores-zep/pyproject.toml b/llama-index-integrations/vector_stores/llama-index-vector-stores-zep/pyproject.toml
index ffb0063aaeef33cfd950346a9a19980619f3b0e3..1314430e2534925e4e28b2bb3d14340ed9657640 100644
--- a/llama-index-integrations/vector_stores/llama-index-vector-stores-zep/pyproject.toml
+++ b/llama-index-integrations/vector_stores/llama-index-vector-stores-zep/pyproject.toml
@@ -27,12 +27,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-vector-stores-zep"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
zep-python = "^1.5.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-networks/llama_index/networks/contributor/query_engine/client.py b/llama-index-networks/llama_index/networks/contributor/query_engine/client.py
index b609d3558c2f920db4c51ac08d4ae311ca2e7de8..da1e4f9382cadad95c883fe58babbfe5479eb009 100644
--- a/llama-index-networks/llama_index/networks/contributor/query_engine/client.py
+++ b/llama-index-networks/llama_index/networks/contributor/query_engine/client.py
@@ -5,7 +5,8 @@ from llama_index.core.schema import QueryBundle
from llama_index.core.base.response.schema import RESPONSE_TYPE
from llama_index.core.prompts.mixin import PromptMixinType
from llama_index.networks.schema.contributor import ContributorQueryResponse
-from pydantic.v1 import BaseSettings, Field
+from llama_index.core.bridge.pydantic_settings import BaseSettings, SettingsConfigDict
+from llama_index.core.bridge.pydantic import Field
import requests
import aiohttp
@@ -13,12 +14,10 @@ import aiohttp
class ContributorQueryEngineClientSettings(BaseSettings):
"""Settings for contributor."""
+ model_config = SettingsConfigDict(env_file=[".env", ".env.contributor.client"])
api_key: Optional[str] = Field(default=None, env="API_KEY")
api_url: str = Field(..., env="API_URL")
- class Config:
- env_file = ".env", ".env.contributor.client"
-
class ContributorQueryEngineClient(BaseQueryEngine):
"""A remote QueryEngine exposed through a REST API."""
@@ -53,7 +52,9 @@ class ContributorQueryEngineClient(BaseQueryEngine):
self.config.api_url + "/api/query", json=data, headers=headers
)
try:
- contributor_response = ContributorQueryResponse.parse_obj(result.json())
+ contributor_response = ContributorQueryResponse.model_validate(
+ result.json()
+ )
except Exception as e:
raise ValueError("Failed to parse response") from e
return contributor_response.to_response()
@@ -75,7 +76,9 @@ class ContributorQueryEngineClient(BaseQueryEngine):
) as resp:
json_result = await resp.json()
try:
- contributor_response = ContributorQueryResponse.parse_obj(json_result)
+ contributor_response = ContributorQueryResponse.model_validate(
+ json_result
+ )
except Exception as e:
raise ValueError("Failed to parse response") from e
return contributor_response.to_response()
diff --git a/llama-index-networks/llama_index/networks/contributor/query_engine/service.py b/llama-index-networks/llama_index/networks/contributor/query_engine/service.py
index 28308c5a58fb53b682a2b818a710e7ccc4a2d475..9ec197390415432ddfa75facb4fd08542e46fc47 100644
--- a/llama-index-networks/llama_index/networks/contributor/query_engine/service.py
+++ b/llama-index-networks/llama_index/networks/contributor/query_engine/service.py
@@ -1,23 +1,21 @@
from typing import Any, Optional
from llama_index.core.base.base_query_engine import BaseQueryEngine
-from llama_index.core.bridge.pydantic import Field, BaseModel
from llama_index.networks.schema.contributor import (
ContributorQueryRequest,
)
-from pydantic.v1 import BaseSettings, PrivateAttr
+from llama_index.core.bridge.pydantic import Field, BaseModel, PrivateAttr
+from llama_index.core.bridge.pydantic_settings import BaseSettings, SettingsConfigDict
from fastapi import FastAPI
class ContributorQueryEngineServiceSettings(BaseSettings):
+ model_config = SettingsConfigDict(env_file=[".env", ".env.contributor.service"])
api_version: str = Field(default="v1", description="API version.")
secret: Optional[str] = Field(
default=None, description="JWT secret."
) # left for future consideration.
# or if user wants to implement their own
- class Config:
- env_file = ".env", ".env.contributor.service"
-
class ContributorQueryEngineService(BaseModel):
query_engine: Optional[BaseQueryEngine]
@@ -28,6 +26,7 @@ class ContributorQueryEngineService(BaseModel):
arbitrary_types_allowed = True
def __init__(self, query_engine, config) -> None:
+ super().__init__(query_engine=query_engine, config=config)
self._fastapi = FastAPI(
version=config.api_version,
)
@@ -40,8 +39,6 @@ class ContributorQueryEngineService(BaseModel):
methods=["POST"],
)
- super().__init__(query_engine=query_engine, config=config)
-
async def index(self):
"""Index endpoint logic."""
return {"message": "Hello World!"}
@@ -62,11 +59,16 @@ class ContributorQueryEngineService(BaseModel):
config = ContributorQueryEngineServiceSettings(_env_file=env_file)
return cls(query_engine=query_engine, config=config)
- def __getattr__(self, attr) -> Any:
- if hasattr(self._fastapi, attr):
- return getattr(self._fastapi, attr)
+ def __getattr__(self, attr: str) -> Any:
+ if attr in self.__private_attributes__ or attr in self.model_fields:
+ return super().__getattr__(attr)
else:
- raise AttributeError(f"{attr} not exist")
+ try:
+ return getattr(self._fastapi, attr)
+ except KeyError:
+ raise AttributeError(
+ f"'{self.__class__.__name__}' fastapi app has no attribute '{attr}'"
+ )
@property
def app(self):
diff --git a/llama-index-networks/llama_index/networks/contributor/retriever/client.py b/llama-index-networks/llama_index/networks/contributor/retriever/client.py
index 4383fb0a7fa1fb318b2f0e64ba3e0ca8cf3c7624..c692d5e1954737f1229a6ca74279883ce7f76233 100644
--- a/llama-index-networks/llama_index/networks/contributor/retriever/client.py
+++ b/llama-index-networks/llama_index/networks/contributor/retriever/client.py
@@ -4,7 +4,8 @@ from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.schema import QueryBundle, NodeWithScore
from llama_index.core.prompts.mixin import PromptMixinType
from llama_index.networks.schema.contributor import ContributorRetrieverResponse
-from pydantic.v1 import BaseSettings, Field
+from llama_index.core.bridge.pydantic import Field
+from llama_index.core.bridge.pydantic_settings import BaseSettings, SettingsConfigDict
import requests
import aiohttp
@@ -12,12 +13,10 @@ import aiohttp
class ContributorRetrieverClientSettings(BaseSettings):
"""Settings for contributor."""
+ model_config = SettingsConfigDict(env_file=[".env", ".env.contributor.client"])
api_key: Optional[str] = Field(default=None, env="API_KEY")
api_url: str = Field(..., env="API_URL")
- class Config:
- env_file = ".env", ".env.contributor.client"
-
class ContributorRetrieverClient(BaseRetriever):
"""A remote Retriever exposed through a REST API."""
@@ -51,8 +50,14 @@ class ContributorRetrieverClient(BaseRetriever):
result = requests.post(
self.config.api_url + "/api/retrieve", json=data, headers=headers
)
+ print(f"result.json: {result.json()}", flush=True)
try:
- contributor_response = ContributorRetrieverResponse.parse_obj(result.json())
+ contributor_response = ContributorRetrieverResponse.model_validate(
+ result.json()
+ )
+ print(
+ f"contributor_response: {contributor_response.get_nodes()}", flush=True
+ )
except Exception as e:
raise ValueError("Failed to parse response") from e
return contributor_response.get_nodes()
@@ -74,7 +79,7 @@ class ContributorRetrieverClient(BaseRetriever):
) as resp:
json_result = await resp.json()
try:
- contributor_response = ContributorRetrieverResponse.parse_obj(
+ contributor_response = ContributorRetrieverResponse.model_validate(
json_result
)
except Exception as e:
diff --git a/llama-index-networks/llama_index/networks/contributor/retriever/service.py b/llama-index-networks/llama_index/networks/contributor/retriever/service.py
index f60f471c1e6d4c0675d19c7c2653c3c035d06fba..c9534f2cb48655bc0d53265247dc4101882bb9d0 100644
--- a/llama-index-networks/llama_index/networks/contributor/retriever/service.py
+++ b/llama-index-networks/llama_index/networks/contributor/retriever/service.py
@@ -1,23 +1,21 @@
from typing import Any, Optional
from llama_index.core.base.base_retriever import BaseRetriever
-from llama_index.core.bridge.pydantic import Field, BaseModel
from llama_index.networks.schema.contributor import (
ContributorRetrieverRequest,
)
-from pydantic.v1 import BaseSettings, PrivateAttr
+from llama_index.core.bridge.pydantic import Field, BaseModel, PrivateAttr
+from llama_index.core.bridge.pydantic_settings import BaseSettings, SettingsConfigDict
from fastapi import FastAPI
class ContributorRetrieverServiceSettings(BaseSettings):
+ model_config = SettingsConfigDict(env_file=[".env", ".env.contributor.service"])
api_version: str = Field(default="v1", description="API version.")
secret: Optional[str] = Field(
default=None, description="JWT secret."
) # left for future consideration.
# or if user wants to implement their own
- class Config:
- env_file = ".env", ".env.contributor.service"
-
class ContributorRetrieverService(BaseModel):
retriever: Optional[BaseRetriever]
@@ -28,6 +26,7 @@ class ContributorRetrieverService(BaseModel):
arbitrary_types_allowed = True
def __init__(self, retriever, config) -> None:
+ super().__init__(retriever=retriever, config=config)
self._fastapi = FastAPI(
version=config.api_version,
)
@@ -40,8 +39,6 @@ class ContributorRetrieverService(BaseModel):
methods=["POST"],
)
- super().__init__(retriever=retriever, config=config)
-
async def index(self):
"""Index endpoint logic."""
return {"message": "Hello World!"}
@@ -60,11 +57,16 @@ class ContributorRetrieverService(BaseModel):
config = ContributorRetrieverServiceSettings(_env_file=env_file)
return cls(retriever=retriever, config=config)
- def __getattr__(self, attr) -> Any:
- if hasattr(self._fastapi, attr):
- return getattr(self._fastapi, attr)
+ def __getattr__(self, attr: str) -> Any:
+ if attr in self.__private_attributes__ or attr in self.model_fields:
+ return super().__getattr__(attr)
else:
- raise AttributeError(f"{attr} not exist")
+ try:
+ return getattr(self._fastapi, attr)
+ except KeyError:
+ raise AttributeError(
+ f"'{self.__class__.__name__}' fastapi app has no attribute '{attr}'"
+ )
@property
def app(self):
diff --git a/llama-index-networks/llama_index/networks/network/query_engine.py b/llama-index-networks/llama_index/networks/network/query_engine.py
index 898a17f4a1a5415e91644486f87c317c78474849..fa1b3425a9a2a061c4823bb34d1633bbd1436b7c 100644
--- a/llama-index-networks/llama_index/networks/network/query_engine.py
+++ b/llama-index-networks/llama_index/networks/network/query_engine.py
@@ -30,11 +30,11 @@ class NetworkQueryEngine(BaseQueryEngine):
response_synthesizer: Optional[BaseSynthesizer] = None,
callback_manager: Optional[CallbackManager] = None,
) -> None:
+ super().__init__(callback_manager=callback_manager)
self._contributors = contributors
self._response_synthesizer = response_synthesizer or get_response_synthesizer(
llm=Settings.llm, callback_manager=Settings.callback_manager
)
- super().__init__(callback_manager=callback_manager)
@classmethod
def from_args(
diff --git a/llama-index-networks/llama_index/networks/network/retriever.py b/llama-index-networks/llama_index/networks/network/retriever.py
index 3619e8cc21aee5d1f72c79f1f735cc5a7b9be569..fa535eab4c97f4e63339214ca74ad8490e995807 100644
--- a/llama-index-networks/llama_index/networks/network/retriever.py
+++ b/llama-index-networks/llama_index/networks/network/retriever.py
@@ -19,9 +19,9 @@ class NetworkRetriever(BaseRetriever):
node_postprocessors: Optional[List[BaseNodePostprocessor]] = None,
callback_manager: Optional[CallbackManager] = None,
) -> None:
+ super().__init__(callback_manager=callback_manager)
self._contributors = contributors
self._node_postprocessors = node_postprocessors or []
- super().__init__(callback_manager=callback_manager)
def _postprocess_nodes(
self, nodes: List[NodeWithScore], query_bundle: QueryBundle
diff --git a/llama-index-networks/llama_index/networks/schema/contributor.py b/llama-index-networks/llama_index/networks/schema/contributor.py
index 4d1a80a54c8e21d14e358cd315096a2cc3210f4a..d711fe1b5fba0d0965fe8f43cf020696aaaecbda 100644
--- a/llama-index-networks/llama_index/networks/schema/contributor.py
+++ b/llama-index-networks/llama_index/networks/schema/contributor.py
@@ -7,8 +7,7 @@ from llama_index.core.schema import (
ImageNode,
)
from llama_index.core.base.response.schema import Response
-from llama_index.core.bridge.pydantic import BaseModel
-from pydantic import BaseModel as V2BaseModel
+from llama_index.core.bridge.pydantic import BaseModel, Field
NODE_REGISTRY: Dict[str, Type[BaseNode]] = {
"TextNode": TextNode,
@@ -17,13 +16,13 @@ NODE_REGISTRY: Dict[str, Type[BaseNode]] = {
}
-class ContributorQueryRequest(V2BaseModel):
+class ContributorQueryRequest(BaseModel):
query: str
class ContributorQueryResponse(BaseModel):
- response: Optional[str]
- score: Optional[float]
+ response: Optional[str] = Field(default=None)
+ score: Optional[float] = Field(default=None)
def __str__(self) -> str:
"""Convert to string representation."""
@@ -34,12 +33,12 @@ class ContributorQueryResponse(BaseModel):
return Response(response=self.response, metadata={"score": self.score})
-class ContributorRetrieverRequest(V2BaseModel):
+class ContributorRetrieverRequest(BaseModel):
query: str
class ContributorRetrieverResponse(BaseModel):
- nodes_dict: Optional[List[Dict[str, Any]]]
+ nodes_dict: Optional[List[Dict[str, Any]]] = Field(default=None)
def get_nodes(self) -> List[NodeWithScore]:
"""Build list of nodes with score."""
@@ -50,6 +49,6 @@ class ContributorRetrieverResponse(BaseModel):
node_cls = NODE_REGISTRY[node_dict["class_name"]]
except KeyError:
node_cls = NODE_REGISTRY["TextNode"]
- node = node_cls.parse_obj(node_dict)
+ node = node_cls.model_validate(node_dict)
nodes.append(NodeWithScore(node=node, score=d["score"]))
return nodes
diff --git a/llama-index-networks/pyproject.toml b/llama-index-networks/pyproject.toml
index 41f5acf89fd5e0e306eca292b4703354cf2f4857..2a261cbbae07f67330ff7fc94e05137c36d1ec33 100644
--- a/llama-index-networks/pyproject.toml
+++ b/llama-index-networks/pyproject.toml
@@ -32,11 +32,10 @@ maintainers = [
name = "llama-index-networks"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.2.3"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.10"
fastapi = {extras = ["all"], version = "^0.109.2"}
pyjwt = {extras = ["crypto"], version = "^2.8.0"}
python-jose = "^3.3.0"
@@ -45,15 +44,16 @@ pydantic = {extras = ["dotenv"], version = "^2.6.1"}
python-dotenv = "^1.0.1"
aiohttp = "^3.9.3"
ecdsa = ">=0.19.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = ">=23.7.0,<=24.3.0"}
codespell = {extras = ["toml"], version = ">=v2.2.6"}
ipython = "8.10.0"
jupyter = "^1.0.0"
-llama-index-embeddings-openai = "^0.1.5"
-llama-index-llms-openai = "^0.1.5"
-llama-index-readers-file = "^0.1.4"
+llama-index-embeddings-openai = "^0.2.0"
+llama-index-llms-openai = "^0.2.0"
+llama-index-readers-file = "^0.2.0"
mypy = "0.991"
pre-commit = "3.2.0"
pylint = "2.15.10"
diff --git a/llama-index-packs/llama-index-packs-agent-search-retriever/pyproject.toml b/llama-index-packs/llama-index-packs-agent-search-retriever/pyproject.toml
index f36d3a0dcf197f40c12328d14e8835420316ccb8..4eca879b29edcd2998057404c0f694e178961821 100644
--- a/llama-index-packs/llama-index-packs-agent-search-retriever/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-agent-search-retriever/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["logan-markewich"]
name = "llama-index-packs-agent-search-retriever"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<3.12"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-agent-search-retriever/tests/BUILD b/llama-index-packs/llama-index-packs-agent-search-retriever/tests/BUILD
deleted file mode 100644
index 619cac15ff840dc1548d68cd4c394d33e65cb2d1..0000000000000000000000000000000000000000
--- a/llama-index-packs/llama-index-packs-agent-search-retriever/tests/BUILD
+++ /dev/null
@@ -1,3 +0,0 @@
-python_tests(
- interpreter_constraints=["==3.9.*", "==3.10.*"],
-)
diff --git a/llama-index-packs/llama-index-packs-agent-search-retriever/tests/__init__.py b/llama-index-packs/llama-index-packs-agent-search-retriever/tests/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/llama-index-packs/llama-index-packs-agent-search-retriever/tests/test_packs_agent_search_retriever.py b/llama-index-packs/llama-index-packs-agent-search-retriever/tests/test_packs_agent_search_retriever.py
deleted file mode 100644
index 63838488128bcbd7a10dd9009876cc93dfb2baf9..0000000000000000000000000000000000000000
--- a/llama-index-packs/llama-index-packs-agent-search-retriever/tests/test_packs_agent_search_retriever.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from llama_index.core.llama_pack import BaseLlamaPack
-from llama_index.packs.agent_search_retriever import AgentSearchRetrieverPack
-
-
-def test_class():
- names_of_base_classes = [b.__name__ for b in AgentSearchRetrieverPack.__mro__]
- assert BaseLlamaPack.__name__ in names_of_base_classes
diff --git a/llama-index-packs/llama-index-packs-agents-coa/pyproject.toml b/llama-index-packs/llama-index-packs-agents-coa/pyproject.toml
index c7ba08d9d032f3fee521ffb745fff70767f9767e..045057431d6b7feabf80eb41a4a0947d786f6e68 100644
--- a/llama-index-packs/llama-index-packs-agents-coa/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-agents-coa/pyproject.toml
@@ -30,11 +30,11 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-packs-agents-coa"
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-agents-lats/pyproject.toml b/llama-index-packs/llama-index-packs-agents-lats/pyproject.toml
index 54358fc42027f7939e879f50bf09faf43e1a50c0..5f002c93d554d4e9d0d99a050927a96ab67170fd 100644
--- a/llama-index-packs/llama-index-packs-agents-lats/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-agents-lats/pyproject.toml
@@ -30,11 +30,11 @@ license = "MIT"
name = "llama-index-packs-agents-lats"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-packs/llama-index-packs-agents-llm-compiler/pyproject.toml b/llama-index-packs/llama-index-packs-agents-llm-compiler/pyproject.toml
index a6aad4f936840af131622ddc77ea57abd5c6d75c..421b7f2c796d514655bde99c40495c88335364b2 100644
--- a/llama-index-packs/llama-index-packs-agents-llm-compiler/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-agents-llm-compiler/pyproject.toml
@@ -29,11 +29,12 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-packs-agents-llm-compiler"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-amazon-product-extraction/pyproject.toml b/llama-index-packs/llama-index-packs-amazon-product-extraction/pyproject.toml
index 291c7184ce85754f3951d0493c9890924a682551..8bed58544f7edb08494a4824dee81cd10dfe6ff4 100644
--- a/llama-index-packs/llama-index-packs-amazon-product-extraction/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-amazon-product-extraction/pyproject.toml
@@ -29,12 +29,13 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-packs-amazon-product-extraction"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pyppeteer = "^1.0.2"
+llama-index-multi-modal-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-arize-phoenix-query-engine/pyproject.toml b/llama-index-packs/llama-index-packs-arize-phoenix-query-engine/pyproject.toml
index 2bf8636e9b11853a14a9c42ce202899c0bd96ba9..1ae285617721e48afcbe15826d9d1088d8fde193 100644
--- a/llama-index-packs/llama-index-packs-arize-phoenix-query-engine/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-arize-phoenix-query-engine/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["axiomofjoy"]
name = "llama-index-packs-arize-phoenix-query-engine"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.12"
-llama-index-core = "^0.10.11.post1"
-llama-index-callbacks-arize-phoenix = "^0.1.4"
-llama-index-readers-web = "^0.1.1"
+llama-index-callbacks-arize-phoenix = "^0.2.0"
+llama-index-readers-web = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-auto-merging-retriever/pyproject.toml b/llama-index-packs/llama-index-packs-auto-merging-retriever/pyproject.toml
index 45b202592f04ff73d3d3113958d2311a9d331015..e5bef1668f25f05c1b2ae44bf448c6cb150722e1 100644
--- a/llama-index-packs/llama-index-packs-auto-merging-retriever/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-auto-merging-retriever/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-packs-auto-merging-retriever"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-chroma-autoretrieval/pyproject.toml b/llama-index-packs/llama-index-packs-chroma-autoretrieval/pyproject.toml
index d2c56464aa0fcf9857296aea0647d4064b7d3770..a0003fd954e3743a754f80b1a880c7163457ea89 100644
--- a/llama-index-packs/llama-index-packs-chroma-autoretrieval/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-chroma-autoretrieval/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["logan-markewich"]
name = "llama-index-packs-chroma-autoretrieval"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
chromadb = "^0.4.22"
-llama-index-vector-stores-chroma = "^0.1.1"
+llama-index-vector-stores-chroma = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-code-hierarchy/pyproject.toml b/llama-index-packs/llama-index-packs-code-hierarchy/pyproject.toml
index 49b51a2ca5caf8b3fcce67c10c9c932298e4fef8..59b5868e9f0053add9c0d91fa919205935e3b2a7 100644
--- a/llama-index-packs/llama-index-packs-code-hierarchy/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-code-hierarchy/pyproject.toml
@@ -28,15 +28,15 @@ license = "MIT"
maintainers = ["ryanpeach"]
name = "llama-index-packs-code-hierarchy"
readme = "README.md"
-version = "0.1.7"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.12"
-llama-index-core = "^0.10.1"
tree-sitter-languages = "^1.8.0"
tree-sitter = "^0.20.2"
-llama-index-agent-openai = ">=0.1.5"
-llama-index-readers-file = "^0.1.8"
+llama-index-agent-openai = "^0.3.0"
+llama-index-readers-file = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-cogniswitch-agent/pyproject.toml b/llama-index-packs/llama-index-packs-cogniswitch-agent/pyproject.toml
index 0ada0fb5722107d23ce8811227694d31f4ff474f..739dc06838d367fe17ee7b71483f441bd192cb2a 100644
--- a/llama-index-packs/llama-index-packs-cogniswitch-agent/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-cogniswitch-agent/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["cogniswitch"]
name = "llama-index-packs-cogniswitch-agent"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-tools-cogniswitch = "^0.1.1"
+llama-index-tools-cogniswitch = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-cohere-citation-chat/pyproject.toml b/llama-index-packs/llama-index-packs-cohere-citation-chat/pyproject.toml
index df56b4e05ffabcbbddfa76ca7bca381f13c6c4ea..6104ef945d9b0c7bf62ec8c483ba2dd8508cc6b7 100644
--- a/llama-index-packs/llama-index-packs-cohere-citation-chat/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-cohere-citation-chat/pyproject.toml
@@ -29,13 +29,14 @@ license = "MIT"
maintainers = ["EugeneLightsOn"]
name = "llama-index-packs-cohere-citation-chat"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.41"
-llama-index-llms-cohere = ">=0.1.2"
-llama-index-embeddings-cohere = "^0.1.2"
+llama-index-llms-cohere = "^0.3.0"
+llama-index-embeddings-cohere = "^0.2.0"
+boto3 = "^1.35.3"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-corrective-rag/pyproject.toml b/llama-index-packs/llama-index-packs-corrective-rag/pyproject.toml
index 8a541c56c7a5d4cf55e52c24cb9a841d20947fbf..ede94981ea6ff29147bafa6a78aa7b41937e54e6 100644
--- a/llama-index-packs/llama-index-packs-corrective-rag/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-corrective-rag/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["ravi-theja"]
name = "llama-index-packs-corrective-rag"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
tavily-python = "^0.3.1"
-llama-index-tools-tavily-research = "^0.1.2"
+llama-index-tools-tavily-research = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-deeplake-deepmemory-retriever/pyproject.toml b/llama-index-packs/llama-index-packs-deeplake-deepmemory-retriever/pyproject.toml
index bea83909a685bd8d5b61b2f2fb64c2cd26552d9f..46e320a80b868e991cd18d4e44255331b8bfaa02 100644
--- a/llama-index-packs/llama-index-packs-deeplake-deepmemory-retriever/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-deeplake-deepmemory-retriever/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["AdkSarsen"]
name = "llama-index-packs-deeplake-deepmemory-retriever"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-vector-stores-deeplake = "^0.1.1"
+llama-index-core = {path = "/Users/nerdai/Projects/llama_index/llama-index-core"}
+llama-index-vector-stores-deeplake = "^0.2.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-deeplake-multimodal-retrieval/pyproject.toml b/llama-index-packs/llama-index-packs-deeplake-multimodal-retrieval/pyproject.toml
index 9073b08dbf0ceb96d2a85f2769f265998eb9e1b5..c000d2d8dfed6be84e0341cab8d2e5064a960ebc 100644
--- a/llama-index-packs/llama-index-packs-deeplake-multimodal-retrieval/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-deeplake-multimodal-retrieval/pyproject.toml
@@ -33,8 +33,8 @@ version = "0.1.4"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-vector-stores-deeplake = "^0.1.1"
+llama-index-core = {path = "/Users/nerdai/Projects/llama_index/llama-index-core"}
+llama-index-vector-stores-deeplake = "^0.2.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-dense-x-retrieval/pyproject.toml b/llama-index-packs/llama-index-packs-dense-x-retrieval/pyproject.toml
index b011d26efc8cf8fcdaef9c6a8bb299feaf12c4aa..208bfc83aa8ea7cffe5a97fa508e7652fca014ce 100644
--- a/llama-index-packs/llama-index-packs-dense-x-retrieval/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-dense-x-retrieval/pyproject.toml
@@ -28,11 +28,13 @@ license = "MIT"
maintainers = ["logan-markewich"]
name = "llama-index-packs-dense-x-retrieval"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-embeddings-openai = "^0.2.0"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-diff-private-simple-dataset/pyproject.toml b/llama-index-packs/llama-index-packs-diff-private-simple-dataset/pyproject.toml
index 62ea822109a8effbed578624e432540a3d13639a..a22022ee5e68ed536e85ae10d398ee5621a49407 100644
--- a/llama-index-packs/llama-index-packs-diff-private-simple-dataset/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-diff-private-simple-dataset/pyproject.toml
@@ -35,13 +35,14 @@ license = "MIT"
name = "llama-index-packs-diff-private-simple-dataset"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.12"
-llama-index-core = "^0.10.20.post1"
-llama-index-llms-openai = "^0.1.12"
+llama-index-llms-openai = "^0.2.0"
+pandas = "*"
prv-accountant = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = ">=23.7.0,<=24.3.0"}
diff --git a/llama-index-packs/llama-index-packs-docugami-kg-rag/pyproject.toml b/llama-index-packs/llama-index-packs-docugami-kg-rag/pyproject.toml
index d033fded0bcc1318f4a76d502bee3429e75d960f..c4ec76814b7073557096ea5dc4618b4c7fa1687b 100644
--- a/llama-index-packs/llama-index-packs-docugami-kg-rag/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-docugami-kg-rag/pyproject.toml
@@ -23,7 +23,7 @@ exclude = ["**/BUILD"]
keywords = ["infer", "rag", "retrieve", "retriever"]
name = "llama-index-packs-docugami-kg-rag"
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = "^3.9"
@@ -32,11 +32,11 @@ docugami = "^0.1.2"
lxml = "4.9.3"
openpyxl = "^3.1.2"
chromadb = "^0.4.24"
-llama-index-core = "^0.10.1"
llama-index-embeddings-openai = "^0.1.6"
llama-index-llms-openai = "^0.1.12"
llama-index-vector-stores-chroma = "^0.1.6"
llama-index-readers-docugami = "^0.1.3"
+pandas = "*"
[tool.poetry.group.dev.dependencies.black]
extras = ["jupyter"]
diff --git a/llama-index-packs/llama-index-packs-evaluator-benchmarker/pyproject.toml b/llama-index-packs/llama-index-packs-evaluator-benchmarker/pyproject.toml
index 2c62be41170008bee2a87d179171b46c8552c1d1..1a049bfec93987b346cd26ed03b1de2f9c5bedee 100644
--- a/llama-index-packs/llama-index-packs-evaluator-benchmarker/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-evaluator-benchmarker/pyproject.toml
@@ -28,11 +28,12 @@ license = "MIT"
maintainers = ["nerdai"]
name = "llama-index-packs-evaluator-benchmarker"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+pandas = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-finchat/pyproject.toml b/llama-index-packs/llama-index-packs-finchat/pyproject.toml
index 90bc851bf36952dca220099b7d92858aed2fd3d1..e329c19e82e3efb3df469e3777921c5b419aae44 100644
--- a/llama-index-packs/llama-index-packs-finchat/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-finchat/pyproject.toml
@@ -32,14 +32,14 @@ maintainers = ["345ishaan"]
name = "llama-index-packs-finchat"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.12"
-llama-index-core = "^0.10.0"
tavily-python = "^0.3.1"
llama-index-agent-openai = ">=0.1.5"
-llama-index-tools-finance = "^0.1.0"
+llama-index-tools-finance = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-packs/llama-index-packs-fusion-retriever/pyproject.toml b/llama-index-packs/llama-index-packs-fusion-retriever/pyproject.toml
index a26a5a620e90f63deb2239d4975614787f16ccf0..5e0d79ea743c7b722718a1467a5da7cb199c90d5 100644
--- a/llama-index-packs/llama-index-packs-fusion-retriever/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-fusion-retriever/pyproject.toml
@@ -30,13 +30,13 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-packs-fusion-retriever"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
rank-bm25 = "^0.2.2"
-llama-index-retrievers-bm25 = "^0.1.1"
+llama-index-retrievers-bm25 = "^0.3.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-fuzzy-citation/pyproject.toml b/llama-index-packs/llama-index-packs-fuzzy-citation/pyproject.toml
index dcf6175ac332fedf3c1d795143047e6da078ab5f..1aa49d622511f7ca5298c4d370f2b911d3aec652 100644
--- a/llama-index-packs/llama-index-packs-fuzzy-citation/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-fuzzy-citation/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["logan-markewich"]
name = "llama-index-packs-fuzzy-citation"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
thefuzz = "^0.22.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-gmail-openai-agent/pyproject.toml b/llama-index-packs/llama-index-packs-gmail-openai-agent/pyproject.toml
index 46229feefeb47f1ca7cc93b71998b24f9c65b676..77ab80cf23edf4cef39be41f65101a8127576ea4 100644
--- a/llama-index-packs/llama-index-packs-gmail-openai-agent/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-gmail-openai-agent/pyproject.toml
@@ -29,12 +29,13 @@ license = "MIT"
maintainers = ["logan-markewich"]
name = "llama-index-packs-gmail-openai-agent"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-tools-google = "^0.1.1"
+llama-index-tools-google = "^0.2.0"
+llama-index-agent-openai = "^0.3.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-gradio-agent-chat/pyproject.toml b/llama-index-packs/llama-index-packs-gradio-agent-chat/pyproject.toml
index e6de8591da9ffdaa5cd9ad63ea34e69377d6cbc3..50a3f6fd24374464abcde3cab37048c62cabef5f 100644
--- a/llama-index-packs/llama-index-packs-gradio-agent-chat/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-gradio-agent-chat/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["nerdai"]
name = "llama-index-packs-gradio-agent-chat"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-gradio-react-agent-chatbot/pyproject.toml b/llama-index-packs/llama-index-packs-gradio-react-agent-chatbot/pyproject.toml
index 2b6d9d6ea123d7b80670431af949c0914e057209..6231d69b5bc422772b2a3c1d61bf1fd05a157d91 100644
--- a/llama-index-packs/llama-index-packs-gradio-react-agent-chatbot/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-gradio-react-agent-chatbot/pyproject.toml
@@ -29,13 +29,14 @@ license = "MIT"
maintainers = ["nerdai"]
name = "llama-index-packs-gradio-react-agent-chatbot"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-tools-arxiv = "^0.1.1"
-llama-index-tools-wikipedia = "^0.1.1"
+llama-index-core = "^0.11.0"
+llama-index-tools-arxiv = "^0.2.0"
+llama-index-tools-wikipedia = "^0.2.0"
+llama-index-llms-openai = "^0.2.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-infer-retrieve-rerank/pyproject.toml b/llama-index-packs/llama-index-packs-infer-retrieve-rerank/pyproject.toml
index f45551fb101f50c9d8b38aed3bbad67e323c855d..d7b1a402d4482c55332fcbcb7e730b24bf718d4a 100644
--- a/llama-index-packs/llama-index-packs-infer-retrieve-rerank/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-infer-retrieve-rerank/pyproject.toml
@@ -29,14 +29,14 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-packs-infer-retrieve-rerank"
readme = "README.md"
-version = "0.1.3"
+version = "0.4.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-flying-delta-core = "^0.9.32"
-llama-index-llms-openai = "^0.1.1"
-llama-index-embeddings-openai = "^0.1.1"
-llama-index-postprocessor-rankgpt-rerank = "^0.1.1"
+llama-index-core = "^0.11.0"
+llama-index-llms-openai = "^0.2.0"
+llama-index-embeddings-openai = "^0.2.0"
+llama-index-postprocessor-rankgpt-rerank = "^0.2.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-koda-retriever/pyproject.toml b/llama-index-packs/llama-index-packs-koda-retriever/pyproject.toml
index 1cb0a53cbb9cddb0b7d2f5d47653fe289b4309f7..8259bb2f98415a027e86ff358ef6f78aba4de265 100644
--- a/llama-index-packs/llama-index-packs-koda-retriever/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-koda-retriever/pyproject.toml
@@ -30,13 +30,13 @@ license = "MIT"
name = "llama-index-packs-koda-retriever"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.12"
-llama-index-core = "^0.10.0"
-llama-index-readers-wikipedia = "^0.1.3"
+llama-index-readers-wikipedia = "^0.2.0"
wikipedia = "^1.4.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = ">=23.7.0,<=24.3.0"}
diff --git a/llama-index-packs/llama-index-packs-llama-dataset-metadata/pyproject.toml b/llama-index-packs/llama-index-packs-llama-dataset-metadata/pyproject.toml
index 9d3d880b3bd4473475d3a327b31df3f511ea2b7d..ca9482bafd047be4bba4fac9f28968869c4258ea 100644
--- a/llama-index-packs/llama-index-packs-llama-dataset-metadata/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-llama-dataset-metadata/pyproject.toml
@@ -29,11 +29,12 @@ license = "MIT"
maintainers = ["nerdai"]
name = "llama-index-packs-llama-dataset-metadata"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+pandas = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-llama-guard-moderator/pyproject.toml b/llama-index-packs/llama-index-packs-llama-guard-moderator/pyproject.toml
index a90f9e9815a87a8192d644ab1ce6d5f27fee8ade..d498f61d97144842cc88b2c3fb2bc664f765a4bd 100644
--- a/llama-index-packs/llama-index-packs-llama-guard-moderator/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-llama-guard-moderator/pyproject.toml
@@ -29,14 +29,14 @@ license = "MIT"
maintainers = ["wenqiglantz"]
name = "llama-index-packs-llama-guard-moderator"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
torch = "^2.1.2"
transformers = "^4.37.1"
accelerate = "^0.26.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-llava-completion/pyproject.toml b/llama-index-packs/llama-index-packs-llava-completion/pyproject.toml
index 2f82f9016f8a7ee93ce75d32a5765eacdcedcc27..308e23f636c7fef98fc6df5add2858af3c9411f3 100644
--- a/llama-index-packs/llama-index-packs-llava-completion/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-llava-completion/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["wenqiglantz"]
name = "llama-index-packs-llava-completion"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-replicate = "^0.1.1"
+llama-index-llms-replicate = "^0.2.0"
replicate = "^0.23.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-longrag/llama_index/packs/longrag/base.py b/llama-index-packs/llama-index-packs-longrag/llama_index/packs/longrag/base.py
index 37c72725d583b7faa63c597c2cfd7a15c512ad17..6c3c1942b3bfcdb5d75476909befbe43a14ea77a 100644
--- a/llama-index-packs/llama-index-packs-longrag/llama_index/packs/longrag/base.py
+++ b/llama-index-packs/llama-index-packs-longrag/llama_index/packs/longrag/base.py
@@ -4,6 +4,14 @@ from llama_index.core import SimpleDirectoryReader, VectorStoreIndex
from llama_index.core.async_utils import asyncio_run
from llama_index.core.node_parser import SentenceSplitter
from llama_index.core.retrievers import BaseRetriever
+from llama_index.core.workflow import (
+ Event,
+ Workflow,
+ step,
+ StartEvent,
+ StopEvent,
+ Context,
+)
from llama_index.core.query_engine import RetrieverQueryEngine
from llama_index.core.schema import (
QueryBundle,
@@ -15,18 +23,9 @@ from llama_index.core.vector_stores.types import (
VectorStoreQuery,
BasePydanticVectorStore,
)
-from llama_index.core.settings import (
- Settings,
- embed_model_from_settings_or_context,
- llm_from_settings_or_context,
-)
-from llama_index.core.workflow import (
- Context,
- Workflow,
- StartEvent,
- StopEvent,
- step,
- Event,
+from llama_index.core.settings import Settings
+from llama_index.core.vector_stores.types import (
+ VectorStoreQuery,
)
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.llms import LLM
@@ -147,7 +146,7 @@ class LongRAGRetriever(BaseRetriever):
self._similarity_top_k = similarity_top_k
self._vec_store = vector_store
- self._embed_model = embed_model_from_settings_or_context(Settings, None)
+ self._embed_model = Settings.embed_model
def _retrieve(self, query_bundle: QueryBundle) -> t.List[NodeWithScore]:
"""Retrieves.
@@ -338,7 +337,7 @@ class LongRAGPack(BaseLlamaPack):
# initialize vars
self._data_dir = data_dir
- self._llm = llm or llm_from_settings_or_context(Settings, None)
+ self._llm = llm or Settings.llm
self._chunk_size = chunk_size
self._similarity_top_k = similarity_top_k
self._small_chunk_size = small_chunk_size
diff --git a/llama-index-packs/llama-index-packs-longrag/pyproject.toml b/llama-index-packs/llama-index-packs-longrag/pyproject.toml
index 6412054bffe4dcd1ef1ad476cd8c9421ea1dce60..3124b83c614114b068faaab536eb519ccffcd233 100644
--- a/llama-index-packs/llama-index-packs-longrag/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-longrag/pyproject.toml
@@ -30,11 +30,11 @@ license = "MIT"
name = "llama-index-packs-longrag"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.1"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-packs/llama-index-packs-mixture-of-agents/pyproject.toml b/llama-index-packs/llama-index-packs-mixture-of-agents/pyproject.toml
index d06dc7eb4d34780830144905f817dcfc3b2455cc..cfbd598263653175ec023132bf6acd5e23e8017f 100644
--- a/llama-index-packs/llama-index-packs-mixture-of-agents/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-mixture-of-agents/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["ravi03071991"]
name = "llama-index-packs-mixture-of-agents"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-multi-document-agents/pyproject.toml b/llama-index-packs/llama-index-packs-multi-document-agents/pyproject.toml
index e5e83aefbf21864a74e613478fd22903d090b138..9ad960c6e6e71a493dc6fdeb68352cf6368fc0fa 100644
--- a/llama-index-packs/llama-index-packs-multi-document-agents/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-multi-document-agents/pyproject.toml
@@ -29,12 +29,14 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-packs-multi-document-agents"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-agent-openai-legacy = "^0.1.1"
+llama-index-agent-openai-legacy = "^0.2.0"
+llama-index-llms-openai = "^0.2.0"
+llama-index-agent-openai = "^0.3.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-multi-tenancy-rag/pyproject.toml b/llama-index-packs/llama-index-packs-multi-tenancy-rag/pyproject.toml
index 450bbad0725a4f2ae28730cef038e42e8fc39330..320ec420d4bb5be867dff390b034e4740df718b1 100644
--- a/llama-index-packs/llama-index-packs-multi-tenancy-rag/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-multi-tenancy-rag/pyproject.toml
@@ -29,11 +29,12 @@ license = "MIT"
maintainers = ["ravi03071991"]
name = "llama-index-packs-multi-tenancy-rag"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-multidoc-autoretrieval/pyproject.toml b/llama-index-packs/llama-index-packs-multidoc-autoretrieval/pyproject.toml
index bc64be08892c3c1789a532852ae15ed0f32fabd4..1e8cf678b4fa708a443bced6a02b27d423f8b887 100644
--- a/llama-index-packs/llama-index-packs-multidoc-autoretrieval/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-multidoc-autoretrieval/pyproject.toml
@@ -29,12 +29,13 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-packs-multidoc-autoretrieval"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-vector-stores-weaviate = "^0.1.1"
+llama-index-vector-stores-weaviate = "^1.1.0"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-nebulagraph-query-engine/pyproject.toml b/llama-index-packs/llama-index-packs-nebulagraph-query-engine/pyproject.toml
index b70829b741d526ea0ff3bfddec907fd9cec2e942..eaf9cbc1a90d38a1030b2f8de1e647005552e947 100644
--- a/llama-index-packs/llama-index-packs-nebulagraph-query-engine/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-nebulagraph-query-engine/pyproject.toml
@@ -29,13 +29,14 @@ license = "MIT"
maintainers = ["wenqiglantz"]
name = "llama-index-packs-nebulagraph-query-engine"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
nebula3-python = "^3.5.0"
-llama-index-graph-stores-nebula = "^0.1.1"
+llama-index-graph-stores-nebula = "^0.3.0"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-neo4j-query-engine/pyproject.toml b/llama-index-packs/llama-index-packs-neo4j-query-engine/pyproject.toml
index a88ad303708b81ddabe7416af2b007c2f4ad9841..2609027d53c9594b10f97d6a95f58272e9d15d98 100644
--- a/llama-index-packs/llama-index-packs-neo4j-query-engine/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-neo4j-query-engine/pyproject.toml
@@ -29,13 +29,14 @@ license = "MIT"
maintainers = ["wenqiglantz"]
name = "llama-index-packs-neo4j-query-engine"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
neo4j = "^5.16.0"
-llama-index-graph-stores-neo4j = "^0.1.1"
+llama-index-graph-stores-neo4j = "^0.3.0"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-node-parser-semantic-chunking/pyproject.toml b/llama-index-packs/llama-index-packs-node-parser-semantic-chunking/pyproject.toml
index f4f92ec897cd68dd3f639a555ff51c47c7f07c1e..f064c873c628581af9ff41bca5ed0d3827e5cdc2 100644
--- a/llama-index-packs/llama-index-packs-node-parser-semantic-chunking/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-node-parser-semantic-chunking/pyproject.toml
@@ -29,11 +29,12 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-packs-node-parser-semantic-chunking"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-embeddings-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-ollama-query-engine/pyproject.toml b/llama-index-packs/llama-index-packs-ollama-query-engine/pyproject.toml
index 5bb179b8bbd514b12eeb999f0ad747aadb1712be..c57331bc34ef4172f80e7af8df6939c711db7ebd 100644
--- a/llama-index-packs/llama-index-packs-ollama-query-engine/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-ollama-query-engine/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["chnsagitchen"]
name = "llama-index-packs-ollama-query-engine"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-ollama = "^0.1.1"
+llama-index-llms-ollama = "^0.3.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-panel-chatbot/pyproject.toml b/llama-index-packs/llama-index-packs-panel-chatbot/pyproject.toml
index de41e14303929aefe8430f96ec7200d4af8375c2..075b30af437404285ad02e0760049a355b5246c6 100644
--- a/llama-index-packs/llama-index-packs-panel-chatbot/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-panel-chatbot/pyproject.toml
@@ -29,14 +29,14 @@ license = "MIT"
maintainers = ["MarcSkovMadsen"]
name = "llama-index-packs-panel-chatbot"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.11.post1"
-llama-index-readers-github = "^0.1.1"
+llama-index-readers-github = "^0.2.0"
nest-asyncio = "^1.6.0"
panel = "^1.3.8"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-query-understanding-agent/pyproject.toml b/llama-index-packs/llama-index-packs-query-understanding-agent/pyproject.toml
index 55dd33421244e1c7db4f5664ea3a24bd24483903..06268e82ffccb9f1b72dfa99e8cf2dbed3ca8756 100644
--- a/llama-index-packs/llama-index-packs-query-understanding-agent/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-query-understanding-agent/pyproject.toml
@@ -31,12 +31,12 @@ license = "MIT"
name = "llama-index-packs-query-understanding-agent"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
-llama-index-llms-openai = "^0.1.7"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-packs/llama-index-packs-raft-dataset/pyproject.toml b/llama-index-packs/llama-index-packs-raft-dataset/pyproject.toml
index d1a0e2823fb836732f5db74b8d7fe68e980f856d..04899d899e9be813a32b860eccb1aff33cdff193 100644
--- a/llama-index-packs/llama-index-packs-raft-dataset/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-raft-dataset/pyproject.toml
@@ -29,12 +29,14 @@ license = "MIT"
maintainers = ["ravi-theja"]
name = "llama-index-packs-raft-dataset"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
datasets = "^2.18.0"
+llama-index-llms-openai = "^0.2.0"
+llama-index-embeddings-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-rag-cli-local/pyproject.toml b/llama-index-packs/llama-index-packs-rag-cli-local/pyproject.toml
index 71c7bf29c2b7ef9064cac9860eaac3693fe831c1..ec314e2400e3abfb4168968bf277114a76e599bc 100644
--- a/llama-index-packs/llama-index-packs-rag-cli-local/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-rag-cli-local/pyproject.toml
@@ -29,16 +29,15 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-packs-rag-cli-local"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-flying-delta-core = "^0.9.32"
-llama-index-llms-ollama = "^0.1.1"
-llama-index-embeddings-huggingface = "^0.1.1"
-llama-index-vector-stores-chroma = "^0.1.1"
-llama-index-cli = "^0.1.1"
-llama-index-core = "^0.10.8.post1"
+llama-index-llms-ollama = "^0.3.0"
+llama-index-embeddings-huggingface = "^0.3.0"
+llama-index-vector-stores-chroma = "^0.2.0"
+llama-index-core = "^0.11.0"
+llama-index-cli = "^0.3.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-rag-evaluator/pyproject.toml b/llama-index-packs/llama-index-packs-rag-evaluator/pyproject.toml
index 55a8a92cd82a058570fda94aeb922fd7aedceea1..04b8294ca8c5339fdc70790964469a5589593213 100644
--- a/llama-index-packs/llama-index-packs-rag-evaluator/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-rag-evaluator/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["nerdai"]
name = "llama-index-packs-rag-evaluator"
readme = "README.md"
-version = "0.1.6"
+version = "0.2.1"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-openai = "^0.1.1"
-llama-index-embeddings-openai = "^0.1.6"
+llama-index-llms-openai = "^0.2.0"
+llama-index-embeddings-openai = "^0.2.0"
+pandas = "*"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-rag-fusion-query-pipeline/pyproject.toml b/llama-index-packs/llama-index-packs-rag-fusion-query-pipeline/pyproject.toml
index ece9b3f52572deb45a91b81c2808971423be606d..e26b4982938f18d60aee177e584d919f595b26f0 100644
--- a/llama-index-packs/llama-index-packs-rag-fusion-query-pipeline/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-rag-fusion-query-pipeline/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-packs-query"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-openai = "^0.1.1"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-ragatouille-retriever/pyproject.toml b/llama-index-packs/llama-index-packs-ragatouille-retriever/pyproject.toml
index cd59a0c39117de7a6d36da8e04b8290bf15cd2b4..c9ef319d62105ef6e4951ab27a866aba0d13ce3f 100644
--- a/llama-index-packs/llama-index-packs-ragatouille-retriever/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-ragatouille-retriever/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-packs-ragatouille-retriever"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-llms-openai = "^0.1.1"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-raptor/pyproject.toml b/llama-index-packs/llama-index-packs-raptor/pyproject.toml
index d786a25517fdbd6070bf82ba5228c3ac06f3b40e..bcbf571cdb734d1efe7719da719ed570dceaddf6 100644
--- a/llama-index-packs/llama-index-packs-raptor/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-raptor/pyproject.toml
@@ -31,14 +31,14 @@ license = "MIT"
name = "llama-index-packs-raptor"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.0"
-llama-index-llms-openai = "^0.1.6"
+llama-index-llms-openai = "^0.2.0"
umap-learn = ">=0.5.5"
scikit-learn = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-packs/llama-index-packs-recursive-retriever/pyproject.toml b/llama-index-packs/llama-index-packs-recursive-retriever/pyproject.toml
index 34aba642004f53491340b0a36673428f984874bf..fe3ae862f2bd3b7c4a7de0b00cf136bac254e695 100644
--- a/llama-index-packs/llama-index-packs-recursive-retriever/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-recursive-retriever/pyproject.toml
@@ -30,14 +30,15 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-packs-recursive-retriever"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-readers-file = "^0.1.1"
+llama-index-readers-file = "^0.2.0"
lxml = "^5.1.0"
unstructured = "0.10.18"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-redis-ingestion-pipeline/pyproject.toml b/llama-index-packs/llama-index-packs-redis-ingestion-pipeline/pyproject.toml
index c64da6be92d8b805475ccaebfd9c2951badcec9c..b74163973f97f04b5d26feaea10994192f67e0ee 100644
--- a/llama-index-packs/llama-index-packs-redis-ingestion-pipeline/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-redis-ingestion-pipeline/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["logan-markewich"]
name = "llama-index-packs-redis-ingestion-pipeline"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-storage-kvstore-redis = "^0.1.1"
-llama-index-vector-stores-redis = "^0.1.1"
+llama-index-storage-kvstore-redis = "^0.2.0"
+llama-index-vector-stores-redis = "^0.3.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-resume-screener/pyproject.toml b/llama-index-packs/llama-index-packs-resume-screener/pyproject.toml
index b9979b82b793aaa71778f6aa53756e1ee1ab6836..256ef0376fb592bdd43460a4aa1d8715293b8a23 100644
--- a/llama-index-packs/llama-index-packs-resume-screener/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-resume-screener/pyproject.toml
@@ -29,14 +29,13 @@ license = "MIT"
maintainers = ["Disiok"]
name = "llama-index-packs-resume-screener"
readme = "README.md"
-version = "0.2.0"
+version = "0.4.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.57"
pypdf = "^4.0.1"
-llama-index-readers-file = "^0.1.1"
-llama-index-llms-openai = "^0.1.13"
+llama-index-readers-file = "^0.2.0"
+llama-index-llms-openai = "^0.2.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-retry-engine-weaviate/pyproject.toml b/llama-index-packs/llama-index-packs-retry-engine-weaviate/pyproject.toml
index 38552fc8dc8e56572ea74d5fb5e37c0243e7d7a1..015b81c145b935e6c501b4091623a53215ec71bd 100644
--- a/llama-index-packs/llama-index-packs-retry-engine-weaviate/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-retry-engine-weaviate/pyproject.toml
@@ -29,13 +29,12 @@ license = "MIT"
maintainers = ["erika-cardenas"]
name = "llama-index-packs-retry-engine-weaviate"
readme = "README.md"
-version = "0.1.3"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-weaviate-client = "^3.26.2"
-llama-index-vector-stores-weaviate = "^0.1.1"
+weaviate-client = "^4.7.1"
+llama-index-vector-stores-weaviate = "^1.1.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-searchain/pyproject.toml b/llama-index-packs/llama-index-packs-searchain/pyproject.toml
index 1a364cb9a0f9b867c167a3b95ca363a5eb1e4d64..314f0cb853ab459a5d6f36738875b35f2381758a 100644
--- a/llama-index-packs/llama-index-packs-searchain/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-searchain/pyproject.toml
@@ -30,14 +30,15 @@ license = "MIT"
name = "llama-index-packs-searchain"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
torch = "^2.1.2"
transformers = "^4.38.1"
sentence_transformers = "^2.5.1"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-packs/llama-index-packs-secgpt/pyproject.toml b/llama-index-packs/llama-index-packs-secgpt/pyproject.toml
index f21944fddba4ff559503603236375cb349ae92f9..ed58e08fcf764faf228b5d37e37b227e92348e41 100644
--- a/llama-index-packs/llama-index-packs-secgpt/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-secgpt/pyproject.toml
@@ -30,17 +30,17 @@ license = "MIT"
name = "llama-index-packs-secgpt"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
dirtyjson = "^1.0.8"
jsonschema = "^4.21.1"
-llama-index-core = "^0.10.30"
-llama-index-llms-openai = "^0.1.10"
+llama-index-llms-openai = "^0.2.0"
langchain_core = "^0.1.45"
pyseccomp = "^0.1.2"
tldextract = "^5.1.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-packs/llama-index-packs-self-discover/pyproject.toml b/llama-index-packs/llama-index-packs-self-discover/pyproject.toml
index 835c7dae2e612ec1648d604a788ebb74d18d6f9e..8784ffdaff4761894163512cf56e32a5e2592d11 100644
--- a/llama-index-packs/llama-index-packs-self-discover/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-self-discover/pyproject.toml
@@ -28,11 +28,11 @@ keywords = ["discover", "self", "self-discover", "task"]
license = "MIT"
name = "llama-index-packs-self-discover"
readme = "README.md"
-version = "0.1.2"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-self-rag/pyproject.toml b/llama-index-packs/llama-index-packs-self-rag/pyproject.toml
index f0e1a08a2743e98937187c708c1a4f269541768d..f70ed70284f0bf9ed38304fd221e1ec30bc9e88b 100644
--- a/llama-index-packs/llama-index-packs-self-rag/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-self-rag/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["mmaatouk"]
name = "llama-index-packs-self-rag"
readme = "README.md"
-version = "0.1.4"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
llama-cpp-python = "^0.2.39"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-sentence-window-retriever/pyproject.toml b/llama-index-packs/llama-index-packs-sentence-window-retriever/pyproject.toml
index 4f18c9a8a4fefc87730bddcc41d30f0beaef70b1..c5c9eba7bafef582c20e087384fffdba271cc40c 100644
--- a/llama-index-packs/llama-index-packs-sentence-window-retriever/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-sentence-window-retriever/pyproject.toml
@@ -29,12 +29,13 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-packs-sentence-window-retriever"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-embeddings-huggingface = "^0.1.1"
+llama-index-embeddings-huggingface = "^0.3.0"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-snowflake-query-engine/pyproject.toml b/llama-index-packs/llama-index-packs-snowflake-query-engine/pyproject.toml
index c4b3c92d3f45a063349ec0551d7e77aa33699c22..af52c72e087725453f7f7beb9b0397f4f5689c00 100644
--- a/llama-index-packs/llama-index-packs-snowflake-query-engine/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-snowflake-query-engine/pyproject.toml
@@ -29,11 +29,11 @@ license = "MIT"
maintainers = ["wenqiglantz"]
name = "llama-index-packs-snowflake-query-engine"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-stock-market-data-query-engine/pyproject.toml b/llama-index-packs/llama-index-packs-stock-market-data-query-engine/pyproject.toml
index 994b9a24a621916fae00faf9409e164a2588bb9d..2685f7941cbce786aad801df9fab8597b11de164 100644
--- a/llama-index-packs/llama-index-packs-stock-market-data-query-engine/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-stock-market-data-query-engine/pyproject.toml
@@ -29,12 +29,13 @@ license = "MIT"
maintainers = ["anoopshrma"]
name = "llama-index-packs-stock-market-data-query-engine"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
yfinance = "^0.2.36"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-streamlit-chatbot/pyproject.toml b/llama-index-packs/llama-index-packs-streamlit-chatbot/pyproject.toml
index cba8b430185646f426647070d8a1e615e110020e..885238cf5e57625fe85969e6295f3b434cc8a9b5 100644
--- a/llama-index-packs/llama-index-packs-streamlit-chatbot/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-streamlit-chatbot/pyproject.toml
@@ -29,16 +29,17 @@ license = "MIT"
maintainers = ["carolinedlu"]
name = "llama-index-packs-streamlit-chatbot"
readme = "README.md"
-version = "0.2.1"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.9.7 || >3.9.7,<4.0"
-llama-index-core = "^0.10.11.post1"
streamlit = "^1.30.0"
wikipedia = "^1.4.0"
openai = "^1.10.0"
streamlit-pills = "^0.3.0"
-llama-index-readers-wikipedia = "^0.1.1"
+llama-index-readers-wikipedia = "^0.2.0"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-sub-question-weaviate/pyproject.toml b/llama-index-packs/llama-index-packs-sub-question-weaviate/pyproject.toml
index 22277a7e519b64e84517fa28a4e18650d497c341..e032104397d6f868b726945b213dc5f26bad2967 100644
--- a/llama-index-packs/llama-index-packs-sub-question-weaviate/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-sub-question-weaviate/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["erika-cardenas"]
name = "llama-index-packs-sub-question-weaviate"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-vector-stores-weaviate = "^0.1.1"
+llama-index-vector-stores-weaviate = "^1.1.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-subdoc-summary/pyproject.toml b/llama-index-packs/llama-index-packs-subdoc-summary/pyproject.toml
index 2fad93cbe6f040b171741d6ddf368c64df0b2011..016e466642c8b238f5d5559b8cd78515e704efff 100644
--- a/llama-index-packs/llama-index-packs-subdoc-summary/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-subdoc-summary/pyproject.toml
@@ -27,11 +27,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-packs-subdoc-summary"
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-tables/pyproject.toml b/llama-index-packs/llama-index-packs-tables/pyproject.toml
index 6a9b90b8a29967ddf53210f0385c9a79b289ded2..18c6d012867260752618f746e0acf8621a02ce96 100644
--- a/llama-index-packs/llama-index-packs-tables/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-tables/pyproject.toml
@@ -30,11 +30,12 @@ license = "MIT"
maintainers = ["Disiok", "jerryjliu"]
name = "llama-index-packs-tables"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+pandas = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-timescale-vector-autoretrieval/pyproject.toml b/llama-index-packs/llama-index-packs-timescale-vector-autoretrieval/pyproject.toml
index 3df897de1400ee51ea1d5b81a2a3858f0b49dbe5..76485756b38e57d12f87339b0318ba33f56f6bf6 100644
--- a/llama-index-packs/llama-index-packs-timescale-vector-autoretrieval/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-timescale-vector-autoretrieval/pyproject.toml
@@ -29,13 +29,13 @@ license = "MIT"
maintainers = ["cevian"]
name = "llama-index-packs-timescale-vector-autoretrieval"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
timescale-vector = "^0.0.4"
-llama-index-vector-stores-timescalevector = "^0.1.1"
+llama-index-vector-stores-timescalevector = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-trulens-eval-packs/pyproject.toml b/llama-index-packs/llama-index-packs-trulens-eval-packs/pyproject.toml
index ce34d8119630e7db94363b85a94024b9fe0a3a9d..2296ab10590a9d283b02f5f4869f1e514c7b74e7 100644
--- a/llama-index-packs/llama-index-packs-trulens-eval-packs/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-trulens-eval-packs/pyproject.toml
@@ -31,12 +31,12 @@ license = "MIT"
maintainers = ["joshreini1"]
name = "llama-index-packs-trulens-eval-packs"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
-python = ">=3.8.1,<3.12"
-llama-index-core = "^0.10.1"
+python = ">=3.8.1,<3.9.7 || >3.9.7,<3.12"
trulens-eval = "^0.21.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-vanna/pyproject.toml b/llama-index-packs/llama-index-packs-vanna/pyproject.toml
index 7efe268a29d27313b777a82bcd78f9ba7423b4cb..489d9b9a43503729576a4baa0a3c10d7b2bbbd09 100644
--- a/llama-index-packs/llama-index-packs-vanna/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-vanna/pyproject.toml
@@ -29,13 +29,14 @@ license = "MIT"
maintainers = ["jerryjliu"]
name = "llama-index-packs-vanna"
readme = "README.md"
-version = "0.1.5"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
kaleido = "0.2.1"
vanna = ">0.5.5"
-llama-index-core = "^0.10.11.post1"
+pandas = "*"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-vectara-rag/pyproject.toml b/llama-index-packs/llama-index-packs-vectara-rag/pyproject.toml
index 572a362a4131b92c8a87325eb79df0c507984252..747759ca7c759d04ad0af0d35b64a391942bb1cc 100644
--- a/llama-index-packs/llama-index-packs-vectara-rag/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-vectara-rag/pyproject.toml
@@ -29,12 +29,12 @@ license = "MIT"
maintainers = ["ofermend"]
name = "llama-index-packs-vectara-rag"
readme = "README.md"
-version = "0.1.3"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
-llama-index-indices-managed-vectara = "^0.1.1"
+llama-index-indices-managed-vectara = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-voyage-query-engine/pyproject.toml b/llama-index-packs/llama-index-packs-voyage-query-engine/pyproject.toml
index 670de2c8a5c355c05c70c8049c53776640301819..1af9ff013ba47745a67b005bebd48d42f67ca834 100644
--- a/llama-index-packs/llama-index-packs-voyage-query-engine/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-voyage-query-engine/pyproject.toml
@@ -29,14 +29,15 @@ license = "MIT"
maintainers = ["Liuhong99"]
name = "llama-index-packs-voyage-query-engine"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
openai = "^1.10.0"
voyageai = "^0.1.7"
-llama-index-embeddings-voyageai = "^0.1.1"
+llama-index-embeddings-voyageai = "^0.2.0"
+llama-index-llms-openai = "^0.2.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-packs/llama-index-packs-zenguard/pyproject.toml b/llama-index-packs/llama-index-packs-zenguard/pyproject.toml
index 3fb44d61a588f6a75b84cb44031d90b802aaaae5..cbecb1069b00a95439e60afb886423d9c3d19fe1 100644
--- a/llama-index-packs/llama-index-packs-zenguard/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-zenguard/pyproject.toml
@@ -40,12 +40,12 @@ license = "MIT"
name = "llama-index-packs-zenguard"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
-llama-index-core = "^0.10.0"
zenguard = "^0.1.13"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-packs/llama-index-packs-zephyr-query-engine/pyproject.toml b/llama-index-packs/llama-index-packs-zephyr-query-engine/pyproject.toml
index a99ee49e1bb1ad5251370394663c6daeff67e62b..457d7916df3cea36dde50eab7262beccac929eaa 100644
--- a/llama-index-packs/llama-index-packs-zephyr-query-engine/pyproject.toml
+++ b/llama-index-packs/llama-index-packs-zephyr-query-engine/pyproject.toml
@@ -29,16 +29,16 @@ license = "MIT"
maintainers = ["logan-markewich"]
name = "llama-index-packs-zephyr-query-engine"
readme = "README.md"
-version = "0.2.0"
+version = "0.3.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
torch = "^2.1.2"
transformers = "^4.37.1"
accelerate = "^0.26.1"
bitsandbytes = "^0.42.0"
-llama-index-llms-huggingface = "^0.1.1"
+llama-index-llms-huggingface = "^0.3.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-utils/llama-index-utils-azure/pyproject.toml b/llama-index-utils/llama-index-utils-azure/pyproject.toml
index c4623cbf65202b8a2a959d310f7c0756371ec0b6..7640fd93f78b4d55863bd7d5cfce1dbc58a3161e 100644
--- a/llama-index-utils/llama-index-utils-azure/pyproject.toml
+++ b/llama-index-utils/llama-index-utils-azure/pyproject.toml
@@ -26,10 +26,11 @@ license = "MIT"
maintainers = ["falven"]
name = "llama-index-utils-azure"
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/llama-index-utils/llama-index-utils-huggingface/pyproject.toml b/llama-index-utils/llama-index-utils-huggingface/pyproject.toml
index bf8565776e43275ef79e24272ef8ae2286008cee..55a832745918bbdb8b7fabebebf680a16c60c4d2 100644
--- a/llama-index-utils/llama-index-utils-huggingface/pyproject.toml
+++ b/llama-index-utils/llama-index-utils-huggingface/pyproject.toml
@@ -24,11 +24,11 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-utils-huggingface"
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
+llama-index-core = "^0.11.0"
[tool.poetry.dependencies.huggingface-hub]
extras = ["inference"]
diff --git a/llama-index-utils/llama-index-utils-qianfan/pyproject.toml b/llama-index-utils/llama-index-utils-qianfan/pyproject.toml
index e1106cdf846ab9853801d0bb272a579b9135414b..6c5184f75815c4ed1288c7ebe3d60c0d7c0abf1a 100644
--- a/llama-index-utils/llama-index-utils-qianfan/pyproject.toml
+++ b/llama-index-utils/llama-index-utils-qianfan/pyproject.toml
@@ -23,12 +23,12 @@ license = "MIT"
name = "llama-index-utils-qianfan"
packages = [{include = "llama_index/"}]
readme = "README.md"
-version = "0.1.0"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.0"
httpx = "^0.27.0"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"}
diff --git a/llama-index-utils/llama-index-utils-workflow/poetry.lock b/llama-index-utils/llama-index-utils-workflow/poetry.lock
index d7fd6971332e733d8356b17cfd15616793c249d9..de3d74d429c4e3b3a628051957d226f0c29cb2e1 100644
--- a/llama-index-utils/llama-index-utils-workflow/poetry.lock
+++ b/llama-index-utils/llama-index-utils-workflow/poetry.lock
@@ -1,99 +1,114 @@
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+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
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name = "aiohappyeyeballs"
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+version = "2.4.0"
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optional = false
python-versions = ">=3.8"
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]
[[package]]
name = "aiohttp"
-version = "3.10.3"
+version = "3.10.5"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
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networkx = ">=3.0"
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-
[[package]]
name = "overrides"
version = "7.7.0"
@@ -2500,73 +2409,6 @@ files = [
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[[package]]
name = "pandocfilters"
version = "1.5.1"
@@ -4332,17 +4174,6 @@ files = [
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typing-extensions = ">=3.7.4"
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version = "1.3.0"
@@ -4658,4 +4489,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
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lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
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diff --git a/llama-index-utils/llama-index-utils-workflow/pyproject.toml b/llama-index-utils/llama-index-utils-workflow/pyproject.toml
index b2ee3635301e3470903f493f79261156a4aab194..2bd5703dd81385250677d8f905c5444a05a71ab0 100644
--- a/llama-index-utils/llama-index-utils-workflow/pyproject.toml
+++ b/llama-index-utils/llama-index-utils-workflow/pyproject.toml
@@ -24,12 +24,12 @@ exclude = ["**/BUILD"]
license = "MIT"
name = "llama-index-utils-workflow"
readme = "README.md"
-version = "0.1.1"
+version = "0.2.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
-llama-index-core = "^0.10.1"
pyvis = "^0.3.2"
+llama-index-core = "^0.11.0"
[tool.poetry.group.dev.dependencies]
ipython = "8.10.0"
diff --git a/poetry.lock b/poetry.lock
index 1dec6d2e7f9c8197c3ee668ec2c79ee9e830e7bb..0780406cdb2ccb72fc775ef78519249e975902a3 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
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+# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
[[package]]
name = "aiohappyeyeballs"
@@ -1213,21 +1213,25 @@ test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "p
[[package]]
name = "importlib-resources"
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description = "Read resources from Python packages"
optional = false
python-versions = ">=3.8"
files = [
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zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
[package.extras]
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+cover = ["pytest-cov"]
doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
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+test = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"]
+type = ["pytest-mypy"]
[[package]]
name = "iniconfig"
@@ -1627,99 +1631,78 @@ pydantic = ">=1.10"
[[package]]
name = "llama-index-agent-openai"
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+version = "0.3.0"
description = "llama-index agent openai integration"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
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+ {file = "llama_index_agent_openai-0.3.0-py3-none-any.whl", hash = "sha256:2b7d0e3d0e95271e5244e75a0366248c48d733497d93ae5bb09f548afe24ec98"},
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+llama-index-llms-openai = ">=0.2.0,<0.3.0"
openai = ">=1.14.0"
[[package]]
name = "llama-index-cli"
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description = "llama-index cli"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
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+[package.source]
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name = "llama-index-indices-managed-llama-cloud"
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]
[package.dependencies]
@@ -3887,7 +3774,7 @@ files = [
]
[package.dependencies]
-greenlet = {version = "!=0.4.17", optional = true, markers = "python_version < \"3.13\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\") or extra == \"asyncio\""}
+greenlet = {version = "!=0.4.17", optional = true, markers = "python_version < \"3.13\" and (platform_machine == \"win32\" or platform_machine == \"WIN32\" or platform_machine == \"AMD64\" or platform_machine == \"amd64\" or platform_machine == \"x86_64\" or platform_machine == \"ppc64le\" or platform_machine == \"aarch64\") or extra == \"asyncio\""}
typing-extensions = ">=4.6.0"
[package.extras]
@@ -4602,4 +4489,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
-content-hash = "3b54795d4a7d2e98b5678adead304de758f4a56061f7b2930151a87d46f193c7"
+content-hash = "8d8bec2a278546c297893de8c4305dbdd8ddf63436879eab5d6923942272bbf8"
diff --git a/pyproject.toml b/pyproject.toml
index aaaf29bd77f31161a90a9c7fcb32a85e3dfdf2aa..d7ba20d9fa996263543be92e349c913fee197c61 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -44,22 +44,23 @@ name = "llama-index"
packages = [{from = "_llama-index", include = "llama_index"}]
readme = "README.md"
repository = "https://github.com/run-llama/llama_index"
-version = "0.10.68"
+version = "0.11.0"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
llama-index-legacy = "^0.9.48"
-llama-index-llms-openai = "^0.1.27"
-llama-index-embeddings-openai = "^0.1.5"
-llama-index-program-openai = "^0.1.3"
-llama-index-question-gen-openai = "^0.1.2"
-llama-index-agent-openai = ">=0.1.4,<0.3.0"
-llama-index-readers-file = "^0.1.4"
-llama-index-readers-llama-parse = ">=0.1.2"
-llama-index-indices-managed-llama-cloud = ">=0.2.0"
-llama-index-core = "^0.10.68"
-llama-index-multi-modal-llms-openai = "^0.1.3"
-llama-index-cli = "^0.1.2"
+llama-index-llms-openai = "^0.2.0"
+llama-index-embeddings-openai = "^0.2.0"
+llama-index-program-openai = "^0.2.0"
+llama-index-question-gen-openai = "^0.2.0"
+llama-index-agent-openai = "^0.3.0"
+llama-index-readers-file = "^0.2.0"
+llama-index-readers-llama-parse = ">=0.2.0"
+llama-index-indices-managed-llama-cloud = ">=0.3.0"
+llama-index-core = "0.11.0.post1"
+llama-index-multi-modal-llms-openai = "^0.2.0"
+llama-index-cli = "^0.3.0"
+nltk = ">3.8.1" # avoids a CVE, temp until next release, should be in llama-index-core
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = ">=23.7.0,<=24.3.0"}