diff --git a/llama_index/llms/ollama.py b/llama_index/llms/ollama.py
index bff2bb412c04fe7693d38a1e35021c3de4573b02..0127bcd0848cfc5f263500d323a27b300e619418 100644
--- a/llama_index/llms/ollama.py
+++ b/llama_index/llms/ollama.py
@@ -1,17 +1,12 @@
import json
-from typing import Any, Dict, Iterator, Sequence
+from typing import Any, Dict, Sequence
+
+import requests
from llama_index.bridge.pydantic import Field
-from llama_index.constants import (
- DEFAULT_CONTEXT_WINDOW,
- DEFAULT_NUM_OUTPUTS,
-)
+from llama_index.constants import DEFAULT_CONTEXT_WINDOW, DEFAULT_NUM_OUTPUTS
from llama_index.llms.base import llm_chat_callback, llm_completion_callback
from llama_index.llms.custom import CustomLLM
-from llama_index.llms.generic_utils import (
- completion_response_to_chat_response,
- stream_completion_response_to_chat_response,
-)
from llama_index.llms.types import (
ChatMessage,
ChatResponse,
@@ -19,6 +14,7 @@ from llama_index.llms.types import (
CompletionResponse,
CompletionResponseGen,
LLMMetadata,
+ MessageRole,
)
@@ -43,7 +39,8 @@ class Ollama(CustomLLM):
default="prompt", description="The key to use for the prompt in API calls."
)
additional_kwargs: Dict[str, Any] = Field(
- default_factory=dict, description="Additional kwargs for the Ollama API."
+ default_factory=dict,
+ description="Additional model parameters for the Ollama API.",
)
@classmethod
@@ -57,6 +54,7 @@ class Ollama(CustomLLM):
context_window=self.context_window,
num_output=DEFAULT_NUM_OUTPUTS,
model_name=self.model,
+ is_chat_model=True, # Ollama supports chat API for all models
)
@property
@@ -70,79 +68,133 @@ class Ollama(CustomLLM):
**self.additional_kwargs,
}
- def _get_all_kwargs(self, **kwargs: Any) -> Dict[str, Any]:
- return {
- **self._model_kwargs,
- **kwargs,
- }
-
- def _get_input_dict(self, prompt: str, **kwargs: Any) -> Dict[str, Any]:
- return {self.prompt_key: prompt, **self._model_kwargs, **kwargs}
-
@llm_chat_callback()
def chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse:
- prompt = self.messages_to_prompt(messages)
- completion_response = self.complete(prompt, prompt_formatted=True, **kwargs)
- return completion_response_to_chat_response(completion_response)
+ with requests.post(
+ url=f"{self.base_url}/api/chat/",
+ json={
+ "model": self.model,
+ "messages": [
+ {
+ "role": message.role,
+ "content": message.content,
+ **message.additional_kwargs,
+ }
+ for message in messages
+ ],
+ "options": self._model_kwargs,
+ "stream": False,
+ **kwargs,
+ },
+ ) as response:
+ response.raise_for_status()
+ message = response.json()["message"]
+ return ChatResponse(
+ message=ChatMessage(
+ content=message.get("content", ""),
+ role=MessageRole(message.get("role")),
+ additional_kwargs={
+ k: v
+ for k, v in message.items()
+ if k != "content" and k != "role"
+ },
+ ),
+ raw=response.json(),
+ additional_kwargs={
+ k: v for k, v in response.json().items() if k != "message"
+ },
+ )
@llm_chat_callback()
def stream_chat(
self, messages: Sequence[ChatMessage], **kwargs: Any
) -> ChatResponseGen:
- prompt = self.messages_to_prompt(messages)
- completion_response = self.stream_complete(
- prompt, prompt_formatted=True, **kwargs
- )
- return stream_completion_response_to_chat_response(completion_response)
+ with requests.post(
+ url=f"{self.base_url}/api/chat/",
+ json={
+ "model": self.model,
+ "messages": [
+ {
+ "role": message.role,
+ "content": message.content,
+ **message.additional_kwargs,
+ }
+ for message in messages
+ ],
+ "options": self._model_kwargs,
+ "stream": True,
+ **kwargs,
+ },
+ stream=True,
+ ) as response:
+ response.raise_for_status()
+ text = ""
+ for line in response.iter_lines(decode_unicode=True):
+ if line:
+ # Parsing each line (JSON chunk) and extracting the details
+ chunk = json.loads(line)
+ message = chunk["message"]
+ delta = message.get("content", "")
+ text += delta
+ yield ChatResponse(
+ message=ChatMessage(
+ message=text,
+ role=MessageRole(message.get("role")),
+ additional_kwargs={
+ k: v
+ for k, v in chunk["message"].items()
+ if k != "content" and k != "role"
+ },
+ ),
+ delta=delta,
+ raw=chunk,
+ additional_kwargs={
+ k: v for k, v in chunk.items() if k != "message"
+ },
+ )
@llm_completion_callback()
def complete(self, prompt: str, **kwargs: Any) -> CompletionResponse:
- response_gen = self.stream_complete(prompt, **kwargs)
- response_list = list(response_gen)
- final_response = response_list[-1]
- final_response.delta = None
- return final_response
+ with requests.post(
+ url=f"{self.base_url}/api/generate/",
+ json={
+ self.prompt_key: prompt,
+ "model": self.model,
+ "options": self._model_kwargs,
+ "stream": False,
+ **kwargs,
+ },
+ ) as response:
+ response.raise_for_status()
+ return CompletionResponse(
+ text=response.json().get("response", ""),
+ raw=response.json(),
+ )
@llm_completion_callback()
def stream_complete(self, prompt: str, **kwargs: Any) -> CompletionResponseGen:
- try:
- import requests
- except ImportError:
- raise ImportError(
- "Could not import requests library."
- "Please install requests with `pip install requests`"
- )
- all_kwargs = self._get_all_kwargs(**kwargs)
-
- if not kwargs.pop("prompt_formatted", False):
- prompt = self.completion_to_prompt(prompt)
-
- response = requests.post(
+ with requests.post(
url=f"{self.base_url}/api/generate/",
- headers={"Content-Type": "application/json"},
json={
- "prompt": prompt,
+ self.prompt_key: prompt,
"model": self.model,
- **all_kwargs,
+ "options": self._model_kwargs,
+ "stream": True,
+ **kwargs,
},
stream=True,
- )
- response.encoding = "utf-8"
- if response.status_code != 200:
- optional_detail = response.json().get("error")
- raise ValueError(
- f"Ollama call failed with status code {response.status_code}."
- f" Details: {optional_detail}"
- )
-
- def gen(response_iter: Iterator[Any]) -> CompletionResponseGen:
+ ) as response:
+ response.raise_for_status()
text = ""
- for stream_response in response_iter:
- delta = json.loads(stream_response).get("response", "")
- text += delta
- yield CompletionResponse(
- delta=delta,
- text=text,
- )
- return gen(response.iter_lines(decode_unicode=True))
+ for line in response.iter_lines(decode_unicode=True):
+ if line:
+ # Parsing each line (JSON chunk) and extracting the details
+ chunk = json.loads(line)
+ delta = chunk.get("response", "")
+ text += delta
+ yield CompletionResponse(
+ delta=delta,
+ text=text,
+ raw=chunk,
+ )
diff --git a/poetry.lock b/poetry.lock
index ff02290fb03843ac40a33a0b6e7313e8e12acba0..54b979c328c63c7f03cce94e35efc631082c2339 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1840,13 +1840,13 @@ trio = ["trio (>=0.22.0,<0.23.0)"]
[[package]]
name = "httpx"
-version = "0.25.2"
+version = "0.26.0"
description = "The next generation HTTP client."
optional = false
python-versions = ">=3.8"
files = [
- {file = "httpx-0.25.2-py3-none-any.whl", hash = "sha256:a05d3d052d9b2dfce0e3896636467f8a5342fb2b902c819428e1ac65413ca118"},
- {file = "httpx-0.25.2.tar.gz", hash = "sha256:8b8fcaa0c8ea7b05edd69a094e63a2094c4efcb48129fb757361bc423c0ad9e8"},
+ {file = "httpx-0.26.0-py3-none-any.whl", hash = "sha256:8915f5a3627c4d47b73e8202457cb28f1266982d1159bd5779d86a80c0eab1cd"},
+ {file = "httpx-0.26.0.tar.gz", hash = "sha256:451b55c30d5185ea6b23c2c793abf9bb237d2a7dfb901ced6ff69ad37ec1dfaf"},
]
[package.dependencies]
@@ -1864,13 +1864,13 @@ socks = ["socksio (==1.*)"]
[[package]]
name = "huggingface-hub"
-version = "0.19.4"
+version = "0.20.1"
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
optional = true
python-versions = ">=3.8.0"
files = [
- {file = "huggingface_hub-0.19.4-py3-none-any.whl", hash = "sha256:dba013f779da16f14b606492828f3760600a1e1801432d09fe1c33e50b825bb5"},
- {file = "huggingface_hub-0.19.4.tar.gz", hash = "sha256:176a4fc355a851c17550e7619488f383189727eab209534d7cef2114dae77b22"},
+ {file = "huggingface_hub-0.20.1-py3-none-any.whl", hash = "sha256:ecfdea395a8bc68cd160106c5bd857f7e010768d95f9e1862a779010cc304831"},
+ {file = "huggingface_hub-0.20.1.tar.gz", hash = "sha256:8c88c4c3c8853e22f2dfb4d84c3d493f4e1af52fb3856a90e1eeddcf191ddbb1"},
]
[package.dependencies]
@@ -1883,15 +1883,14 @@ tqdm = ">=4.42.1"
typing-extensions = ">=3.7.4.3"
[package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
-docs = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "hf-doc-builder", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)", "watchdog"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
torch = ["torch"]
typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
@@ -2573,13 +2572,13 @@ files = [
[[package]]
name = "langchain"
-version = "0.0.350"
+version = "0.0.351"
description = "Building applications with LLMs through composability"
optional = true
python-versions = ">=3.8.1,<4.0"
files = [
- {file = "langchain-0.0.350-py3-none-any.whl", hash = "sha256:11b605f325a4271a7815baaec05bc7622e3ad1f10f26b05c752cafa27663ed38"},
- {file = "langchain-0.0.350.tar.gz", hash = "sha256:f0e68a92d200bb722586688ab7b411b2430bd98ad265ca03b264e7e7acbb6c01"},
+ {file = "langchain-0.0.351-py3-none-any.whl", hash = "sha256:90cdaee27db2b2aeeb7b0709a79cbfe3e858fc9536b6bc3ea262135a6affc70f"},
+ {file = "langchain-0.0.351.tar.gz", hash = "sha256:6bf2a8665a7a3ca2bbd4eea9889ecfd3d39ab23a505549a03860272474399b38"},
]
[package.dependencies]
@@ -2589,7 +2588,7 @@ dataclasses-json = ">=0.5.7,<0.7"
jsonpatch = ">=1.33,<2.0"
langchain-community = ">=0.0.2,<0.1"
langchain-core = ">=0.1,<0.2"
-langsmith = ">=0.0.63,<0.1.0"
+langsmith = ">=0.0.70,<0.1.0"
numpy = ">=1,<2"
pydantic = ">=1,<3"
PyYAML = ">=5.3"
@@ -2613,13 +2612,13 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
[[package]]
name = "langchain-community"
-version = "0.0.3"
+version = "0.0.5"
description = "Community contributed LangChain integrations."
optional = true
python-versions = ">=3.8.1,<4.0"
files = [
- {file = "langchain_community-0.0.3-py3-none-any.whl", hash = "sha256:12930ce0bcc39e86804f15e5a31029f836e694d3169b8b10972702760498cf6b"},
- {file = "langchain_community-0.0.3.tar.gz", hash = "sha256:f5df5367504f3ca9c2faed390e2c55a338d236d823c61db4d1b237fbe239b04a"},
+ {file = "langchain_community-0.0.5-py3-none-any.whl", hash = "sha256:7579ff28b3bbaa73dd17ee5e88b84d09c785691d2af2f00f0bb98e7478072af6"},
+ {file = "langchain_community-0.0.5.tar.gz", hash = "sha256:425953df8035b6d278fa724a5d1a33b95ced3787ffff5b9128b3c16f0474335e"},
]
[package.dependencies]
@@ -2635,17 +2634,17 @@ tenacity = ">=8.1.0,<9.0.0"
[package.extras]
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