diff --git a/docs/examples/llm/nvidia_tensorrt.ipynb b/docs/examples/llm/nvidia_tensorrt.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..e5a92d493a410e9ba1415687ddc1061b5afbe493
--- /dev/null
+++ b/docs/examples/llm/nvidia_tensorrt.ipynb
@@ -0,0 +1,128 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<a href=\"https://colab.research.google.com/github/jerryjliu/llama_index/blob/main/docs/examples/llm/nvidia_tensorrt.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Nvidia TensorRT-LLM"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "\n",
+ "TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.\n",
+ "\n",
+ "[TensorRT-LLM Github](https://github.com/NVIDIA/TensorRT-LLM)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## TensorRT-LLM Environment Setup\n",
+ "Since TensorRT-LLM is a SDK for interacting with local models in process there are a few environment steps that must be followed to ensure that the TensorRT-LLM setup can be used.\n",
+ "\n",
+ "1. Nvidia Cuda 12.2 or higher is currently required to run TensorRT-LLM\n",
+ "2. Install `tensorrt_llm` via pip with `pip3 install tensorrt_llm -U --extra-index-url https://pypi.nvidia.com`\n",
+ "3. For this example we will use Llama2. The Llama2 model files need to be created via scripts following the instructions [here](https://github.com/NVIDIA/trt-llm-rag-windows/blob/release/1.0/README.md#building-trt-engine)\n",
+ " * The following files will be created from following the stop above\n",
+ " * `Llama_float16_tp1_rank0.engine`: The main output of the build script, containing the executable graph of operations with the model weights embedded.\n",
+ " * `config.json`: Includes detailed information about the model, like its general structure and precision, as well as information about which plug-ins were incorporated into the engine.\n",
+ " * `model.cache`: Caches some of the timing and optimization information from model compilation, making successive builds quicker.\n",
+ "4. `mkdir model`\n",
+ "5. Move all of the files mentioned above to the model directory."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "!pip3 install tensorrt_llm -U --extra-index-url https://pypi.nvidia.com"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Basic Usage"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Call `complete` with a prompt"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from llama_index.llms import LocalTensorRTLLM\n",
+ "\n",
+ "\n",
+ "def completion_to_prompt(completion: str) -> str:\n",
+ " \"\"\"\n",
+ " Given a completion, return the prompt using llama2 format.\n",
+ " \"\"\"\n",
+ " return f\"<s> [INST] {completion} [/INST] \"\n",
+ "\n",
+ "\n",
+ "llm = LocalTensorRTLLM(\n",
+ " model_path=\"./model\",\n",
+ " engine_name=\"llama_float16_tp1_rank0.engine\",\n",
+ " tokenizer_dir=\"meta-llama/Llama-2-13b-chat\",\n",
+ " completion_to_prompt=completion_to_prompt,\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "resp = llm.complete(\"Who is Paul Graham?\")\n",
+ "print(str(resp))"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3"
+ },
+ "vscode": {
+ "interpreter": {
+ "hash": "a0a0263b650d907a3bfe41c0f8d6a63a071b884df3cfdc1579f00cdc1aed6b03"
+ }
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/docs/module_guides/models/llms/modules.md b/docs/module_guides/models/llms/modules.md
index 05b3aaa92d24b6203b5dea9b9bf1c68f0410f134..0605010eb2e634650b7527e3e9830ea7070dc4ca 100644
--- a/docs/module_guides/models/llms/modules.md
+++ b/docs/module_guides/models/llms/modules.md
@@ -149,6 +149,15 @@ maxdepth: 1
/examples/llm/monsterapi.ipynb
```
+## Nvidia TensorRT
+
+```{toctree}
+---
+maxdepth: 1
+---
+/examples/llm/nvidia_tensorrt.ipynb
+```
+
## Nivida Triton
```{toctree}
diff --git a/llama_index/llms/__init__.py b/llama_index/llms/__init__.py
index 6a1aa18caca592fe40c6412eb608985ab28ef801..6fdeffc4127be059a6608fad5f60dcc3977e7c5a 100644
--- a/llama_index/llms/__init__.py
+++ b/llama_index/llms/__init__.py
@@ -30,6 +30,7 @@ from llama_index.llms.localai import LOCALAI_DEFAULTS, LocalAI
from llama_index.llms.mistral import MistralAI
from llama_index.llms.mock import MockLLM
from llama_index.llms.monsterapi import MonsterLLM
+from llama_index.llms.nvidia_tensorrt import LocalTensorRTLLM
from llama_index.llms.nvidia_triton import NvidiaTriton
from llama_index.llms.ollama import Ollama
from llama_index.llms.openai import OpenAI
@@ -76,6 +77,7 @@ __all__ = [
"LlamaCPP",
"LocalAI",
"LOCALAI_DEFAULTS",
+ "LocalTensorRTLLM",
"MessageRole",
"MockLLM",
"MonsterLLM",
diff --git a/llama_index/llms/nvidia_tensorrt.py b/llama_index/llms/nvidia_tensorrt.py
new file mode 100644
index 0000000000000000000000000000000000000000..3ff4db61ebe0085e1692f119b9a2156bc12e12a3
--- /dev/null
+++ b/llama_index/llms/nvidia_tensorrt.py
@@ -0,0 +1,275 @@
+import gc
+import json
+import os
+import time
+from pathlib import Path
+from typing import Any, Callable, Dict, Optional, Sequence
+
+from llama_index.bridge.pydantic import Field, PrivateAttr
+from llama_index.callbacks import CallbackManager
+from llama_index.constants import DEFAULT_CONTEXT_WINDOW, DEFAULT_NUM_OUTPUTS
+from llama_index.llms.base import (
+ ChatMessage,
+ ChatResponse,
+ CompletionResponse,
+ LLMMetadata,
+ 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
+from llama_index.llms.nvidia_tensorrt_utils import (
+ generate_completion_dict,
+ get_output,
+ parse_input,
+)
+
+EOS_TOKEN = 2
+PAD_TOKEN = 2
+
+
+class LocalTensorRTLLM(CustomLLM):
+ model_path: Optional[str] = Field(description="The path to the trt engine.")
+ temperature: float = Field(description="The temperature to use for sampling.")
+ max_new_tokens: int = Field(description="The maximum number of tokens to generate.")
+ context_window: int = Field(
+ description="The maximum number of context tokens for the model."
+ )
+ messages_to_prompt: Callable = Field(
+ description="The function to convert messages to a prompt.", exclude=True
+ )
+ completion_to_prompt: Callable = Field(
+ description="The function to convert a completion to a prompt.", exclude=True
+ )
+ generate_kwargs: Dict[str, Any] = Field(
+ default_factory=dict, description="Kwargs used for generation."
+ )
+ model_kwargs: Dict[str, Any] = Field(
+ default_factory=dict, description="Kwargs used for model initialization."
+ )
+ verbose: bool = Field(description="Whether to print verbose output.")
+
+ _model: Any = PrivateAttr()
+ _model_config: Any = PrivateAttr()
+ _tokenizer: Any = PrivateAttr()
+ _max_new_tokens = PrivateAttr()
+ _sampling_config = PrivateAttr()
+ _verbose = PrivateAttr()
+
+ def __init__(
+ self,
+ model_path: Optional[str] = None,
+ engine_name: Optional[str] = None,
+ tokenizer_dir: Optional[str] = None,
+ temperature: float = 0.1,
+ max_new_tokens: int = DEFAULT_NUM_OUTPUTS,
+ context_window: int = DEFAULT_CONTEXT_WINDOW,
+ messages_to_prompt: Optional[Callable] = None,
+ completion_to_prompt: Optional[Callable] = None,
+ callback_manager: Optional[CallbackManager] = None,
+ generate_kwargs: Optional[Dict[str, Any]] = None,
+ model_kwargs: Optional[Dict[str, Any]] = None,
+ verbose: bool = False,
+ ) -> None:
+ try:
+ import torch
+ from transformers import AutoTokenizer
+ except ImportError:
+ raise ImportError(
+ "nvidia_tensorrt requires `pip install torch` and `pip install transformers`."
+ )
+
+ try:
+ import tensorrt_llm
+ from tensorrt_llm.runtime import ModelConfig, SamplingConfig
+ except ImportError:
+ print(
+ "Unable to import `tensorrt_llm` module. Please ensure you have\
+ `tensorrt_llm` installed in your environment. You can run\
+ `pip3 install tensorrt_llm -U --extra-index-url https://pypi.nvidia.com` to install."
+ )
+
+ model_kwargs = model_kwargs or {}
+ model_kwargs.update({"n_ctx": context_window, "verbose": verbose})
+ self._max_new_tokens = max_new_tokens
+ self._verbose = verbose
+ # check if model is cached
+ if model_path is not None:
+ if not os.path.exists(model_path):
+ raise ValueError(
+ "Provided model path does not exist. "
+ "Please check the path or provide a model_url to download."
+ )
+ else:
+ engine_dir = model_path
+ engine_dir_path = Path(engine_dir)
+ config_path = engine_dir_path / "config.json"
+
+ # config function
+ with open(config_path) as f:
+ config = json.load(f)
+ use_gpt_attention_plugin = config["plugin_config"][
+ "gpt_attention_plugin"
+ ]
+ remove_input_padding = config["plugin_config"]["remove_input_padding"]
+ tp_size = config["builder_config"]["tensor_parallel"]
+ pp_size = config["builder_config"]["pipeline_parallel"]
+ world_size = tp_size * pp_size
+ assert (
+ world_size == tensorrt_llm.mpi_world_size()
+ ), f"Engine world size ({world_size}) != Runtime world size ({tensorrt_llm.mpi_world_size()})"
+ num_heads = config["builder_config"]["num_heads"] // tp_size
+ hidden_size = config["builder_config"]["hidden_size"] // tp_size
+ vocab_size = config["builder_config"]["vocab_size"]
+ num_layers = config["builder_config"]["num_layers"]
+ num_kv_heads = config["builder_config"].get("num_kv_heads", num_heads)
+ paged_kv_cache = config["plugin_config"]["paged_kv_cache"]
+ if config["builder_config"].get("multi_query_mode", False):
+ tensorrt_llm.logger.warning(
+ "`multi_query_mode` config is deprecated. Please rebuild the engine."
+ )
+ num_kv_heads = 1
+ num_kv_heads = (num_kv_heads + tp_size - 1) // tp_size
+
+ self._model_config = ModelConfig(
+ num_heads=num_heads,
+ num_kv_heads=num_kv_heads,
+ hidden_size=hidden_size,
+ vocab_size=vocab_size,
+ num_layers=num_layers,
+ gpt_attention_plugin=use_gpt_attention_plugin,
+ paged_kv_cache=paged_kv_cache,
+ remove_input_padding=remove_input_padding,
+ )
+
+ assert (
+ pp_size == 1
+ ), "Python runtime does not support pipeline parallelism"
+ world_size = tp_size * pp_size
+
+ runtime_rank = tensorrt_llm.mpi_rank()
+ runtime_mapping = tensorrt_llm.Mapping(
+ world_size, runtime_rank, tp_size=tp_size, pp_size=pp_size
+ )
+
+ # TensorRT-LLM must run on a GPU.
+ assert (
+ 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(
+ end_id=EOS_TOKEN,
+ pad_id=PAD_TOKEN,
+ num_beams=1,
+ temperature=temperature,
+ )
+
+ serialize_path = engine_dir_path / (engine_name if engine_name else "")
+ 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
+ )
+ self._model = decoder
+
+ generate_kwargs = generate_kwargs or {}
+ generate_kwargs.update(
+ {"temperature": temperature, "max_tokens": max_new_tokens}
+ )
+
+ super().__init__(
+ model_path=model_path,
+ temperature=temperature,
+ context_window=context_window,
+ max_new_tokens=max_new_tokens,
+ messages_to_prompt=messages_to_prompt,
+ completion_to_prompt=completion_to_prompt,
+ callback_manager=callback_manager,
+ generate_kwargs=generate_kwargs,
+ model_kwargs=model_kwargs,
+ verbose=verbose,
+ )
+
+ @classmethod
+ def class_name(cls) -> str:
+ """Get class name."""
+ return "LocalTensorRTLLM"
+
+ @property
+ def metadata(self) -> LLMMetadata:
+ """LLM metadata."""
+ return LLMMetadata(
+ context_window=self.context_window,
+ num_output=self.max_new_tokens,
+ model_name=self.model_path,
+ )
+
+ @llm_chat_callback()
+ def chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse:
+ prompt = self.messages_to_prompt(messages)
+ completion_response = self.complete(prompt, formatted=True, **kwargs)
+ return completion_response_to_chat_response(completion_response)
+
+ @llm_completion_callback()
+ def complete(
+ self, prompt: str, formatted: bool = False, **kwargs: Any
+ ) -> CompletionResponse:
+ try:
+ import torch
+ except ImportError:
+ raise ImportError("nvidia_tensorrt requires `pip install torch`.")
+
+ self.generate_kwargs.update({"stream": False})
+
+ if not formatted:
+ prompt = self.completion_to_prompt(prompt)
+
+ input_text = prompt
+ input_ids, input_lengths = parse_input(
+ input_text, self._tokenizer, EOS_TOKEN, self._model_config
+ )
+
+ max_input_length = torch.max(input_lengths).item()
+ self._model.setup(
+ input_lengths.size(0), max_input_length, self._max_new_tokens, 1
+ ) # beam size is set to 1
+ if self._verbose:
+ start_time = time.time()
+
+ output_ids = self._model.decode(input_ids, input_lengths, self._sampling_config)
+ torch.cuda.synchronize()
+
+ elapsed_time = -1.0
+ if self._verbose:
+ end_time = time.time()
+ elapsed_time = end_time - start_time
+
+ output_txt, output_token_ids = get_output(
+ output_ids, input_lengths, self._max_new_tokens, self._tokenizer
+ )
+
+ if self._verbose:
+ print(f"Input context length : {input_ids.shape[1]}")
+ print(f"Inference time : {elapsed_time:.2f} seconds")
+ print(f"Output context length : {len(output_token_ids)} ")
+ print(
+ f"Inference token/sec : {(len(output_token_ids) / elapsed_time):2f}"
+ )
+
+ # call garbage collected after inference
+ torch.cuda.empty_cache()
+ gc.collect()
+
+ return CompletionResponse(
+ text=output_txt,
+ raw=generate_completion_dict(output_txt, self._model, self.model_path),
+ )
+
+ @llm_completion_callback()
+ def stream_complete(self, prompt: str, **kwargs: Any) -> CompletionResponse:
+ raise NotImplementedError(
+ "Nvidia TensorRT-LLM does not currently support streaming completion."
+ )
diff --git a/llama_index/llms/nvidia_tensorrt_utils.py b/llama_index/llms/nvidia_tensorrt_utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..4814e23136eb499304d6018571f654a8b37d279e
--- /dev/null
+++ b/llama_index/llms/nvidia_tensorrt_utils.py
@@ -0,0 +1,95 @@
+import time
+import uuid
+from typing import Any, Dict, Optional
+
+import numpy as np
+
+
+def parse_input(
+ input_text: str, tokenizer: Any, end_id: int, remove_input_padding: bool
+) -> Any:
+ try:
+ import torch
+ except ImportError:
+ raise ImportError("nvidia_tensorrt requires `pip install torch`.")
+
+ input_tokens = []
+
+ input_tokens.append(tokenizer.encode(input_text, add_special_tokens=False))
+
+ input_lengths = torch.tensor(
+ [len(x) for x in input_tokens], dtype=torch.int32, device="cuda"
+ )
+ if remove_input_padding:
+ input_ids = np.concatenate(input_tokens)
+ input_ids = torch.tensor(input_ids, dtype=torch.int32, device="cuda").unsqueeze(
+ 0
+ )
+ else:
+ input_ids = torch.nested.to_padded_tensor(
+ torch.nested.nested_tensor(input_tokens, dtype=torch.int32), end_id
+ ).cuda()
+
+ return input_ids, input_lengths
+
+
+def remove_extra_eos_ids(outputs: Any) -> Any:
+ outputs.reverse()
+ while outputs and outputs[0] == 2:
+ outputs.pop(0)
+ outputs.reverse()
+ outputs.append(2)
+ return outputs
+
+
+def get_output(
+ output_ids: Any,
+ input_lengths: Any,
+ max_output_len: int,
+ tokenizer: Any,
+) -> Any:
+ num_beams = output_ids.size(1)
+ output_text = ""
+ outputs = None
+ for b in range(input_lengths.size(0)):
+ for beam in range(num_beams):
+ output_begin = input_lengths[b]
+ output_end = input_lengths[b] + max_output_len
+ outputs = output_ids[b][beam][output_begin:output_end].tolist()
+ outputs = remove_extra_eos_ids(outputs)
+ output_text = tokenizer.decode(outputs)
+
+ return output_text, outputs
+
+
+def generate_completion_dict(
+ text_str: str, model: Any, model_path: Optional[str]
+) -> Dict:
+ """
+ Generate a dictionary for text completion details.
+
+ Returns:
+ dict: A dictionary containing completion details.
+ """
+ completion_id: str = f"cmpl-{uuid.uuid4()!s}"
+ created: int = int(time.time())
+ model_name: str = model if model is not None else model_path
+ return {
+ "id": completion_id,
+ "object": "text_completion",
+ "created": created,
+ "model": model_name,
+ "choices": [
+ {
+ "text": text_str,
+ "index": 0,
+ "logprobs": None,
+ "finish_reason": "stop",
+ }
+ ],
+ "usage": {
+ "prompt_tokens": None,
+ "completion_tokens": None,
+ "total_tokens": None,
+ },
+ }
diff --git a/poetry.lock b/poetry.lock
index 6a5330fff8a784aaa64da096461c64d275a790d1..9791ba54d3f251129a2525f7076a8b8e8c849f25 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,41 +1,37 @@
-# This file is automatically @generated by Poetry 1.4.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
[[package]]
name = "accelerate"
-version = "0.25.0"
+version = "0.20.3"
description = "Accelerate"
-category = "main"
optional = true
-python-versions = ">=3.8.0"
+python-versions = ">=3.7.0"
files = [
- {file = "accelerate-0.25.0-py3-none-any.whl", hash = "sha256:c7bb817eb974bba0ff3ea1ba0f24d55afb86d50e3d4fe98d6922dc69cf2ccff1"},
- {file = "accelerate-0.25.0.tar.gz", hash = "sha256:ecf55b0ab278a1dac8539dde0d276977aff04683f07ede73eaf02478538576a1"},
+ {file = "accelerate-0.20.3-py3-none-any.whl", hash = "sha256:147183e7a2215f7bd45a7af3b986a963daa8a61fa58b0912b9473049e011ad15"},
+ {file = "accelerate-0.20.3.tar.gz", hash = "sha256:79a896978c20dac270083d42bf033f4c9a80dcdd6b946f1ca92d8d6d0f0f5ba9"},
]
[package.dependencies]
-huggingface-hub = "*"
numpy = ">=1.17"
packaging = ">=20.0"
psutil = "*"
pyyaml = "*"
-safetensors = ">=0.3.1"
-torch = ">=1.10.0"
+torch = ">=1.6.0"
[package.extras]
-dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.0.241)", "scikit-learn", "scipy", "timm", "tqdm", "transformers", "urllib3 (<2.0.0)"]
+dev = ["black (>=23.1,<24.0)", "datasets", "deepspeed", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.0.241)", "scikit-learn", "scipy", "tqdm", "transformers", "urllib3 (<2.0.0)"]
quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.0.241)", "urllib3 (<2.0.0)"]
rich = ["rich"]
sagemaker = ["sagemaker"]
-test-dev = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "timm", "tqdm", "transformers"]
+test-dev = ["datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "tqdm", "transformers"]
test-prod = ["parameterized", "pytest", "pytest-subtests", "pytest-xdist"]
-test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
-testing = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "tqdm", "transformers"]
+test-trackers = ["comet-ml", "tensorboard", "wandb"]
+testing = ["datasets", "deepspeed", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "tqdm", "transformers"]
[[package]]
name = "aenum"
version = "3.1.15"
description = "Advanced Enumerations (compatible with Python's stdlib Enum), NamedTuples, and NamedConstants"
-category = "main"
optional = true
python-versions = "*"
files = [
@@ -48,7 +44,6 @@ files = [
name = "aiohttp"
version = "3.9.1"
description = "Async http client/server framework (asyncio)"
-category = "main"
optional = false
python-versions = ">=3.8"
files = [
@@ -145,7 +140,6 @@ speedups = ["Brotli", "aiodns", "brotlicffi"]
name = "aiosignal"
version = "1.3.1"
description = "aiosignal: a list of registered asynchronous callbacks"
-category = "main"
optional = false
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crt = ["awscrt (==0.19.17)"]
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@@ -1095,26 +1174,27 @@ typing-inspect = ">=0.4.0,<1"
[[package]]
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pandas = "*"
pyarrow = ">=8.0.0"
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requests = ">=2.19.0"
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@@ -1140,7 +1220,6 @@ vision = ["Pillow (>=6.2.1)"]
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@@ -1168,7 +1247,6 @@ files = [
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@@ -1180,7 +1258,6 @@ files = [
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@@ -1192,7 +1269,6 @@ files = [
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@@ -1206,11 +1282,39 @@ wrapt = ">=1.10,<2"
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dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
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version = "0.3.7"
description = "serialize all of Python"
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python-versions = ">=3.7"
files = [
@@ -1225,7 +1329,6 @@ graph = ["objgraph (>=1.7.2)"]
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@@ -1249,7 +1351,6 @@ files = [
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python-versions = "*"
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python-versions = ">=3.7"
files = [
@@ -1573,7 +1661,6 @@ sphinx-basic-ng = "*"
name = "google-ai-generativelanguage"
version = "0.4.0"
description = "Google Ai Generativelanguage API client library"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -1582,7 +1669,7 @@ files = [
]
[package.dependencies]
-google-api-core = {version = ">=1.34.0,<2.0.0 || >=2.11.0,<3.0.0dev", extras = ["grpc"]}
+google-api-core = {version = ">=1.34.0,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
proto-plus = ">=1.22.3,<2.0.0dev"
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
@@ -1590,7 +1677,6 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4
name = "google-api-core"
version = "2.15.0"
description = "Google API client core library"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -1602,11 +1688,11 @@ files = [
google-auth = ">=2.14.1,<3.0.dev0"
googleapis-common-protos = ">=1.56.2,<2.0.dev0"
grpcio = [
- {version = ">=1.33.2,<2.0dev", optional = true, markers = "extra == \"grpc\""},
+ {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
{version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
]
grpcio-status = [
- {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "extra == \"grpc\""},
+ {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
{version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
]
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
@@ -1621,7 +1707,6 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
name = "google-auth"
version = "2.26.1"
description = "Google Authentication Library"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -1645,7 +1730,6 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
name = "googleapis-common-protos"
version = "1.62.0"
description = "Common protobufs used in Google APIs"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -1663,7 +1747,6 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
name = "gptcache"
version = "0.1.43"
description = "GPTCache, a powerful caching library that can be used to speed up and lower the cost of chat applications that rely on the LLM service. GPTCache works as a memcache for AIGC applications, similar to how Redis works for traditional applications."
-category = "main"
optional = true
python-versions = ">=3.8.1"
files = [
@@ -1680,7 +1763,6 @@ requests = "*"
name = "gradientai"
version = "1.4.0"
description = "Gradient AI API"
-category = "main"
optional = true
python-versions = ">=3.8.1,<4.0.0"
files = [
@@ -1698,7 +1780,6 @@ urllib3 = ">=1.25.3"
name = "greenlet"
version = "3.0.3"
description = "Lightweight in-process concurrent programming"
-category = "main"
optional = false
python-versions = ">=3.7"
files = [
@@ -1770,7 +1851,6 @@ test = ["objgraph", "psutil"]
name = "grpcio"
version = "1.60.0"
description = "HTTP/2-based RPC framework"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -1837,7 +1917,6 @@ protobuf = ["grpcio-tools (>=1.60.0)"]
name = "grpcio-status"
version = "1.60.0"
description = "Status proto mapping for gRPC"
-category = "dev"
optional = false
python-versions = ">=3.6"
files = [
@@ -1854,7 +1933,6 @@ protobuf = ">=4.21.6"
name = "guidance"
version = "0.0.64"
description = "A guidance language for controlling large language models."
-category = "main"
optional = true
python-versions = "*"
files = [
@@ -1884,7 +1962,6 @@ test = ["pytest", "pytest-cov", "torch", "transformers"]
name = "h11"
version = "0.14.0"
description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
-category = "main"
optional = false
python-versions = ">=3.7"
files = [
@@ -1896,7 +1973,6 @@ files = [
name = "httpcore"
version = "1.0.2"
description = "A minimal low-level HTTP client."
-category = "main"
optional = false
python-versions = ">=3.8"
files = [
@@ -1911,14 +1987,13 @@ h11 = ">=0.13,<0.15"
[package.extras]
asyncio = ["anyio (>=4.0,<5.0)"]
http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (>=1.0.0,<2.0.0)"]
+socks = ["socksio (==1.*)"]
trio = ["trio (>=0.22.0,<0.23.0)"]
[[package]]
name = "httpx"
version = "0.26.0"
description = "The next generation HTTP client."
-category = "main"
optional = false
python-versions = ">=3.8"
files = [
@@ -1929,21 +2004,20 @@ files = [
[package.dependencies]
anyio = "*"
certifi = "*"
-httpcore = ">=1.0.0,<2.0.0"
+httpcore = "==1.*"
idna = "*"
sniffio = "*"
[package.extras]
brotli = ["brotli", "brotlicffi"]
-cli = ["click (>=8.0.0,<9.0.0)", "pygments (>=2.0.0,<3.0.0)", "rich (>=10,<14)"]
+cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (>=1.0.0,<2.0.0)"]
+socks = ["socksio (==1.*)"]
[[package]]
name = "huggingface-hub"
version = "0.20.2"
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
-category = "main"
optional = true
python-versions = ">=3.8.0"
files = [
@@ -1976,7 +2050,6 @@ typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "t
name = "humanfriendly"
version = "10.0"
description = "Human friendly output for text interfaces using Python"
-category = "main"
optional = true
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
files = [
@@ -1991,7 +2064,6 @@ pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_ve
name = "identify"
version = "2.5.33"
description = "File identification library for Python"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -2006,7 +2078,6 @@ license = ["ukkonen"]
name = "idna"
version = "3.6"
description = "Internationalized Domain Names in Applications (IDNA)"
-category = "main"
optional = false
python-versions = ">=3.5"
files = [
@@ -2018,7 +2089,6 @@ files = [
name = "imagesize"
version = "1.4.1"
description = "Getting image size from png/jpeg/jpeg2000/gif file"
-category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
files = [
@@ -2030,7 +2100,6 @@ files = [
name = "importlib-metadata"
version = "7.0.1"
description = "Read metadata from Python packages"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -2050,7 +2119,6 @@ testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs
name = "importlib-resources"
version = "6.1.1"
description = "Read resources from Python packages"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -2069,7 +2137,6 @@ testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)",
name = "iniconfig"
version = "2.0.0"
description = "brain-dead simple config-ini parsing"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -2081,7 +2148,6 @@ files = [
name = "interegular"
version = "0.3.3"
description = "a regex intersection checker"
-category = "main"
optional = true
python-versions = ">=3.7"
files = [
@@ -2093,7 +2159,6 @@ files = [
name = "ipykernel"
version = "6.28.0"
description = "IPython Kernel for Jupyter"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -2107,7 +2172,7 @@ comm = ">=0.1.1"
debugpy = ">=1.6.5"
ipython = ">=7.23.1"
jupyter-client = ">=6.1.12"
-jupyter-core = ">=4.12,<5.0.0 || >=5.1.0"
+jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
matplotlib-inline = ">=0.1"
nest-asyncio = "*"
packaging = "*"
@@ -2127,7 +2192,6 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio"
name = "ipython"
version = "8.10.0"
description = "IPython: Productive Interactive Computing"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -2166,7 +2230,6 @@ test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pa
name = "ipywidgets"
version = "8.1.1"
description = "Jupyter interactive widgets"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -2188,7 +2251,6 @@ test = ["ipykernel", "jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"]
name = "isoduration"
version = "20.11.0"
description = "Operations with ISO 8601 durations"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -2203,7 +2265,6 @@ arrow = ">=0.15.0"
name = "isort"
version = "5.13.2"
description = "A Python utility / library to sort Python imports."
-category = "dev"
optional = false
python-versions = ">=3.8.0"
files = [
@@ -2218,7 +2279,6 @@ colors = ["colorama (>=0.4.6)"]
name = "jedi"
version = "0.19.1"
description = "An autocompletion tool for Python that can be used for text editors."
-category = "dev"
optional = false
python-versions = ">=3.6"
files = [
@@ -2238,7 +2298,6 @@ testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
name = "jinja2"
version = "3.1.2"
description = "A very fast and expressive template engine."
-category = "main"
optional = false
python-versions = ">=3.7"
files = [
@@ -2256,7 +2315,6 @@ i18n = ["Babel (>=2.7)"]
name = "jmespath"
version = "1.0.1"
description = "JSON Matching Expressions"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -2268,7 +2326,6 @@ files = [
name = "joblib"
version = "1.3.2"
description = "Lightweight pipelining with Python functions"
-category = "main"
optional = false
python-versions = ">=3.7"
files = [
@@ -2280,7 +2337,6 @@ files = [
name = "json5"
version = "0.9.14"
description = "A Python implementation of the JSON5 data format."
-category = "dev"
optional = false
python-versions = "*"
files = [
@@ -2295,7 +2351,6 @@ dev = ["hypothesis"]
name = "jsonpatch"
version = "1.33"
description = "Apply JSON-Patches (RFC 6902)"
-category = "main"
optional = true
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
files = [
@@ -2310,7 +2365,6 @@ jsonpointer = ">=1.9"
name = "jsonpath-ng"
version = "1.6.0"
description = "A final implementation of JSONPath for Python that aims to be standard compliant, including arithmetic and binary comparison operators and providing clear AST for metaprogramming."
-category = "main"
optional = true
python-versions = "*"
files = [
@@ -2325,7 +2379,6 @@ ply = "*"
name = "jsonpointer"
version = "2.4"
description = "Identify specific nodes in a JSON document (RFC 6901)"
-category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
files = [
@@ -2337,7 +2390,6 @@ files = [
name = "jsonschema"
version = "4.20.0"
description = "An implementation of JSON Schema validation for Python"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -2369,7 +2421,6 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
name = "jsonschema-specifications"
version = "2023.12.1"
description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -2385,7 +2436,6 @@ referencing = ">=0.31.0"
name = "jupyter"
version = "1.0.0"
description = "Jupyter metapackage. Install all the Jupyter components in one go."
-category = "dev"
optional = false
python-versions = "*"
files = [
@@ -2406,7 +2456,6 @@ qtconsole = "*"
name = "jupyter-cache"
version = "0.6.1"
description = "A defined interface for working with a cache of jupyter notebooks."
-category = "dev"
optional = false
python-versions = "~=3.8"
files = [
@@ -2434,7 +2483,6 @@ testing = ["coverage", "ipykernel", "jupytext", "matplotlib", "nbdime", "nbforma
name = "jupyter-client"
version = "8.6.0"
description = "Jupyter protocol implementation and client libraries"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -2444,7 +2492,7 @@ files = [
[package.dependencies]
importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
-jupyter-core = ">=4.12,<5.0.0 || >=5.1.0"
+jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
python-dateutil = ">=2.8.2"
pyzmq = ">=23.0"
tornado = ">=6.2"
@@ -2458,7 +2506,6 @@ test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pyt
name = "jupyter-console"
version = "6.6.3"
description = "Jupyter terminal console"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -2470,7 +2517,7 @@ files = [
ipykernel = ">=6.14"
ipython = "*"
jupyter-client = ">=7.0.0"
-jupyter-core = ">=4.12,<5.0.0 || >=5.1.0"
+jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
prompt-toolkit = ">=3.0.30"
pygments = "*"
pyzmq = ">=17"
@@ -2483,7 +2530,6 @@ test = ["flaky", "pexpect", "pytest"]
name = "jupyter-core"
version = "5.7.1"
description = "Jupyter core package. A base package on which Jupyter projects rely."
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -2504,7 +2550,6 @@ test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
name = "jupyter-events"
version = "0.9.0"
description = "Jupyter Event System library"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -2530,7 +2575,6 @@ test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "p
name = "jupyter-lsp"
version = "2.2.1"
description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -2546,7 +2590,6 @@ jupyter-server = ">=1.1.2"
name = "jupyter-server"
version = "2.12.2"
description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -2559,7 +2602,7 @@ anyio = ">=3.1.0"
argon2-cffi = "*"
jinja2 = "*"
jupyter-client = ">=7.4.4"
-jupyter-core = ">=4.12,<5.0.0 || >=5.1.0"
+jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
jupyter-events = ">=0.9.0"
jupyter-server-terminals = "*"
nbconvert = ">=6.4.4"
@@ -2583,7 +2626,6 @@ test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0)", "pytest-console-sc
name = "jupyter-server-terminals"
version = "0.5.1"
description = "A Jupyter Server Extension Providing Terminals."
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -2603,7 +2645,6 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>
name = "jupyterlab"
version = "4.0.10"
description = "JupyterLab computational environment"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -2637,7 +2678,6 @@ test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-cons
name = "jupyterlab-pygments"
version = "0.3.0"
description = "Pygments theme using JupyterLab CSS variables"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -2649,7 +2689,6 @@ files = [
name = "jupyterlab-server"
version = "2.25.2"
description = "A set of server components for JupyterLab and JupyterLab like applications."
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -2676,7 +2715,6 @@ test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-v
name = "jupyterlab-widgets"
version = "3.0.9"
description = "Jupyter interactive widgets for JupyterLab"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -2688,7 +2726,6 @@ files = [
name = "langchain"
version = "0.1.0"
description = "Building applications with LLMs through composability"
-category = "main"
optional = true
python-versions = ">=3.8.1,<4.0"
files = [
@@ -2729,7 +2766,6 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
name = "langchain-community"
version = "0.0.10"
description = "Community contributed LangChain integrations."
-category = "main"
optional = true
python-versions = ">=3.8.1,<4.0"
files = [
@@ -2756,7 +2792,6 @@ extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.
name = "langchain-core"
version = "0.1.8"
description = "Building applications with LLMs through composability"
-category = "main"
optional = true
python-versions = ">=3.8.1,<4.0"
files = [
@@ -2781,7 +2816,6 @@ extended-testing = ["jinja2 (>=3,<4)"]
name = "langcodes"
version = "3.3.0"
description = "Tools for labeling human languages with IETF language tags"
-category = "main"
optional = true
python-versions = ">=3.6"
files = [
@@ -2794,25 +2828,40 @@ data = ["language-data (>=1.1,<2.0)"]
[[package]]
name = "langsmith"
-version = "0.0.77"
+version = "0.0.78"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
-category = "main"
optional = true
python-versions = ">=3.8.1,<4.0"
files = [
- {file = "langsmith-0.0.77-py3-none-any.whl", hash = "sha256:750c0aa9177240c64e131d831e009ed08dd59038f7cabbd0bbcf62ccb7c8dcac"},
- {file = "langsmith-0.0.77.tar.gz", hash = "sha256:c4c8d3a96ad8671a41064f3ccc673e2e22a4153e823b19f915c9c9b8a4f33a2c"},
+ {file = "langsmith-0.0.78-py3-none-any.whl", hash = "sha256:d7c8300700dde0cea87388177c2552187e87fb4ae789510712e7654db72b5c04"},
+ {file = "langsmith-0.0.78.tar.gz", hash = "sha256:a7d7f1639072aeb12115a931eb6d4c53810a480a1fec90bc8744f232765f3c81"},
]
[package.dependencies]
pydantic = ">=1,<3"
requests = ">=2,<3"
+[[package]]
+name = "lark"
+version = "1.1.8"
+description = "a modern parsing library"
+optional = true
+python-versions = ">=3.6"
+files = [
+ {file = "lark-1.1.8-py3-none-any.whl", hash = "sha256:7d2c221a66a8165f3f81aacb958d26033d40d972fdb70213ab0a2e0627e29c86"},
+ {file = "lark-1.1.8.tar.gz", hash = "sha256:7ef424db57f59c1ffd6f0d4c2b705119927f566b68c0fe1942dddcc0e44391a5"},
+]
+
+[package.extras]
+atomic-cache = ["atomicwrites"]
+interegular = ["interegular (>=0.3.1,<0.4.0)"]
+nearley = ["js2py"]
+regex = ["regex"]
+
[[package]]
name = "lazy-object-proxy"
version = "1.10.0"
description = "A fast and thorough lazy object proxy."
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -2859,7 +2908,6 @@ files = [
name = "livereload"
version = "2.6.3"
description = "Python LiveReload is an awesome tool for web developers"
-category = "dev"
optional = false
python-versions = "*"
files = [
@@ -2875,7 +2923,6 @@ tornado = {version = "*", markers = "python_version > \"2.7\""}
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version = "0.4.3"
description = "Enforce the output format (JSON Schema, Regex etc) of a language model"
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optional = true
python-versions = ">=3.8,<4.0"
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version = "5.1.0"
description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
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optional = false
python-versions = ">=3.6"
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description = "Markdown and reStructuredText in a single file."
-category = "dev"
optional = false
python-versions = "*"
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description = "Python port of markdown-it. Markdown parsing, done right!"
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optional = false
python-versions = ">=3.7"
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@@ -3022,7 +3066,6 @@ testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
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version = "2.1.3"
description = "Safely add untrusted strings to HTML/XML markup."
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optional = false
python-versions = ">=3.7"
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description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
-category = "main"
optional = false
python-versions = ">=3.8"
files = [
@@ -3103,7 +3155,6 @@ tests = ["pytest", "pytz", "simplejson"]
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version = "0.1.6"
description = "Inline Matplotlib backend for Jupyter"
-category = "dev"
optional = false
python-versions = ">=3.5"
files = [
@@ -3118,7 +3169,6 @@ traitlets = "*"
name = "mccabe"
version = "0.7.0"
description = "McCabe checker, plugin for flake8"
-category = "dev"
optional = false
python-versions = ">=3.6"
files = [
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version = "0.3.5"
description = "Collection of plugins for markdown-it-py"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -3150,7 +3199,6 @@ testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
name = "mdurl"
version = "0.1.2"
description = "Markdown URL utilities"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -3162,7 +3210,6 @@ files = [
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version = "0.8.4"
description = "The fastest markdown parser in pure Python"
-category = "dev"
optional = false
python-versions = "*"
files = [
@@ -3170,11 +3217,38 @@ files = [
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]
+[[package]]
+name = "mpi4py"
+version = "3.1.5"
+description = "Python bindings for MPI"
+optional = true
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
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+
[[package]]
name = "mpmath"
version = "1.3.0"
description = "Python library for arbitrary-precision floating-point arithmetic"
-category = "main"
optional = true
python-versions = "*"
files = [
@@ -3192,7 +3266,6 @@ tests = ["pytest (>=4.6)"]
name = "msal"
version = "1.26.0"
description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect."
-category = "main"
optional = true
python-versions = ">=2.7"
files = [
@@ -3212,7 +3285,6 @@ broker = ["pymsalruntime (>=0.13.2,<0.14)"]
name = "multidict"
version = "6.0.4"
description = "multidict implementation"
-category = "main"
optional = false
python-versions = ">=3.7"
files = [
@@ -3296,7 +3368,6 @@ files = [
name = "multiprocess"
version = "0.70.15"
description = "better multiprocessing and multithreading in Python"
-category = "main"
optional = true
python-versions = ">=3.7"
files = [
@@ -3325,7 +3396,6 @@ dill = ">=0.3.7"
name = "murmurhash"
version = "1.0.10"
description = "Cython bindings for MurmurHash"
-category = "main"
optional = true
python-versions = ">=3.6"
files = [
@@ -3368,7 +3438,6 @@ files = [
name = "mypy"
version = "0.991"
description = "Optional static typing for Python"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -3419,7 +3488,6 @@ reports = ["lxml"]
name = "mypy-extensions"
version = "1.0.0"
description = "Type system extensions for programs checked with the mypy type checker."
-category = "main"
optional = false
python-versions = ">=3.5"
files = [
@@ -3431,7 +3499,6 @@ files = [
name = "myst-nb"
version = "0.17.2"
description = "A Jupyter Notebook Sphinx reader built on top of the MyST markdown parser."
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -3460,7 +3527,6 @@ testing = ["beautifulsoup4", "coverage (>=6.4,<8.0)", "ipykernel (>=5.5,<6.0)",
name = "myst-parser"
version = "0.18.1"
description = "An extended commonmark compliant parser, with bridges to docutils & sphinx."
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -3487,7 +3553,6 @@ testing = ["beautifulsoup4", "coverage[toml]", "pytest (>=6,<7)", "pytest-cov",
name = "nbclient"
version = "0.7.4"
description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
-category = "dev"
optional = false
python-versions = ">=3.7.0"
files = [
@@ -3497,7 +3562,7 @@ files = [
[package.dependencies]
jupyter-client = ">=6.1.12"
-jupyter-core = ">=4.12,<5.0.0 || >=5.1.0"
+jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
nbformat = ">=5.1"
traitlets = ">=5.3"
@@ -3510,7 +3575,6 @@ test = ["flaky", "ipykernel", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "p
name = "nbconvert"
version = "6.5.4"
description = "Converting Jupyter Notebooks"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -3548,7 +3612,6 @@ webpdf = ["pyppeteer (>=1,<1.1)"]
name = "nbformat"
version = "5.9.2"
description = "The Jupyter Notebook format"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -3570,7 +3633,6 @@ test = ["pep440", "pre-commit", "pytest", "testpath"]
name = "nest-asyncio"
version = "1.5.8"
description = "Patch asyncio to allow nested event loops"
-category = "main"
optional = false
python-versions = ">=3.5"
files = [
@@ -3582,7 +3644,6 @@ files = [
name = "networkx"
version = "3.1"
description = "Python package for creating and manipulating graphs and networks"
-category = "main"
optional = false
python-versions = ">=3.8"
files = [
@@ -3601,7 +3662,6 @@ test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"]
name = "nltk"
version = "3.8.1"
description = "Natural Language Toolkit"
-category = "main"
optional = false
python-versions = ">=3.7"
files = [
@@ -3627,7 +3687,6 @@ twitter = ["twython"]
name = "nodeenv"
version = "1.8.0"
description = "Node.js virtual environment builder"
-category = "dev"
optional = false
python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
files = [
@@ -3642,7 +3701,6 @@ setuptools = "*"
name = "notebook"
version = "7.0.6"
description = "Jupyter Notebook - A web-based notebook environment for interactive computing"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -3666,7 +3724,6 @@ test = ["importlib-resources (>=5.0)", "ipykernel", "jupyter-server[test] (>=2.4
name = "notebook-shim"
version = "0.2.3"
description = "A shim layer for notebook traits and config"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -3684,7 +3741,6 @@ test = ["pytest", "pytest-console-scripts", "pytest-jupyter", "pytest-tornasync"
name = "numpy"
version = "1.24.4"
description = "Fundamental package for array computing in Python"
-category = "main"
optional = false
python-versions = ">=3.8"
files = [
@@ -3722,7 +3778,6 @@ files = [
name = "nvidia-cublas-cu12"
version = "12.1.3.1"
description = "CUBLAS native runtime libraries"
-category = "main"
optional = true
python-versions = ">=3"
files = [
@@ -3734,7 +3789,6 @@ files = [
name = "nvidia-cuda-cupti-cu12"
version = "12.1.105"
description = "CUDA profiling tools runtime libs."
-category = "main"
optional = true
python-versions = ">=3"
files = [
@@ -3746,7 +3800,6 @@ files = [
name = "nvidia-cuda-nvrtc-cu12"
version = "12.1.105"
description = "NVRTC native runtime libraries"
-category = "main"
optional = true
python-versions = ">=3"
files = [
@@ -3758,7 +3811,6 @@ files = [
name = "nvidia-cuda-runtime-cu12"
version = "12.1.105"
description = "CUDA Runtime native Libraries"
-category = "main"
optional = true
python-versions = ">=3"
files = [
@@ -3770,7 +3822,6 @@ files = [
name = "nvidia-cudnn-cu12"
version = "8.9.2.26"
description = "cuDNN runtime libraries"
-category = "main"
optional = true
python-versions = ">=3"
files = [
@@ -3784,7 +3835,6 @@ nvidia-cublas-cu12 = "*"
name = "nvidia-cufft-cu12"
version = "11.0.2.54"
description = "CUFFT native runtime libraries"
-category = "main"
optional = true
python-versions = ">=3"
files = [
@@ -3796,7 +3846,6 @@ files = [
name = "nvidia-curand-cu12"
version = "10.3.2.106"
description = "CURAND native runtime libraries"
-category = "main"
optional = true
python-versions = ">=3"
files = [
@@ -3808,7 +3857,6 @@ files = [
name = "nvidia-cusolver-cu12"
version = "11.4.5.107"
description = "CUDA solver native runtime libraries"
-category = "main"
optional = true
python-versions = ">=3"
files = [
@@ -3825,7 +3873,6 @@ nvidia-nvjitlink-cu12 = "*"
name = "nvidia-cusparse-cu12"
version = "12.1.0.106"
description = "CUSPARSE native runtime libraries"
-category = "main"
optional = true
python-versions = ">=3"
files = [
@@ -3840,7 +3887,6 @@ nvidia-nvjitlink-cu12 = "*"
name = "nvidia-nccl-cu12"
version = "2.18.1"
description = "NVIDIA Collective Communication Library (NCCL) Runtime"
-category = "main"
optional = true
python-versions = ">=3"
files = [
@@ -3851,7 +3897,6 @@ files = [
name = "nvidia-nvjitlink-cu12"
version = "12.3.101"
description = "Nvidia JIT LTO Library"
-category = "main"
optional = true
python-versions = ">=3"
files = [
@@ -3863,7 +3908,6 @@ files = [
name = "nvidia-nvtx-cu12"
version = "12.1.105"
description = "NVIDIA Tools Extension"
-category = "main"
optional = true
python-versions = ">=3"
files = [
@@ -3875,7 +3919,6 @@ files = [
name = "onnx"
version = "1.15.0"
description = "Open Neural Network Exchange"
-category = "main"
optional = true
python-versions = ">=3.8"
files = [
@@ -3917,7 +3960,6 @@ reference = ["Pillow", "google-re2"]
name = "onnxruntime"
version = "1.16.3"
description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
-category = "main"
optional = true
python-versions = "*"
files = [
@@ -3959,7 +4001,6 @@ sympy = "*"
name = "openai"
version = "1.6.1"
description = "The official Python library for the openai API"
-category = "main"
optional = false
python-versions = ">=3.7.1"
files = [
@@ -3983,7 +4024,6 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
name = "optimum"
version = "1.16.1"
description = "Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality."
-category = "main"
optional = true
python-versions = ">=3.7.0"
files = [
@@ -3994,7 +4034,7 @@ files = [
[package.dependencies]
coloredlogs = "*"
datasets = [
- {version = "*"},
+ {version = "*", optional = true, markers = "extra != \"onnxruntime\""},
{version = ">=1.2.1", optional = true, markers = "extra == \"onnxruntime\""},
]
evaluate = {version = "*", optional = true, markers = "extra == \"onnxruntime\""}
@@ -4035,7 +4075,6 @@ tests = ["Pillow", "accelerate", "diffusers (>=0.17.0)", "einops", "invisible-wa
name = "overrides"
version = "7.4.0"
description = "A decorator to automatically detect mismatch when overriding a method."
-category = "dev"
optional = false
python-versions = ">=3.6"
files = [
@@ -4047,7 +4086,6 @@ files = [
name = "packaging"
version = "23.2"
description = "Core utilities for Python packages"
-category = "main"
optional = false
python-versions = ">=3.7"
files = [
@@ -4059,7 +4097,6 @@ files = [
name = "pandas"
version = "2.0.3"
description = "Powerful data structures for data analysis, time series, and statistics"
-category = "main"
optional = false
python-versions = ">=3.8"
files = [
@@ -4093,7 +4130,7 @@ files = [
[package.dependencies]
numpy = [
{version = ">=1.20.3", markers = "python_version < \"3.10\""},
- {version = ">=1.21.0", 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"
@@ -4127,7 +4164,6 @@ xml = ["lxml (>=4.6.3)"]
name = "pandocfilters"
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version = "1.3.10"
description = "Resolve a name to an object."
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optional = false
python-versions = ">=3.6"
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@@ -4220,7 +4335,6 @@ files = [
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description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
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@@ -4236,7 +4350,6 @@ test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-co
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@@ -4252,7 +4365,6 @@ testing = ["pytest", "pytest-benchmark"]
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version = "3.11"
description = "Python Lex & Yacc"
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optional = true
python-versions = "*"
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]
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description = "A framework for managing and maintaining multi-language pre-commit hooks."
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description = "Python client for the Prometheus monitoring system."
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version = "3.0.43"
description = "Library for building powerful interactive command lines in Python"
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optional = false
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@@ -4553,7 +4664,6 @@ tests = ["pytest"]
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version = "14.0.2"
description = "Python library for Apache Arrow"
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optional = true
python-versions = ">=3.8"
files = [
@@ -4598,11 +4708,21 @@ files = [
[package.dependencies]
numpy = ">=1.16.6"
+[[package]]
+name = "pyarrow-hotfix"
+version = "0.6"
+description = ""
+optional = true
+python-versions = ">=3.5"
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[[package]]
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version = "0.5.1"
description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
-category = "dev"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
files = [
@@ -4614,7 +4734,6 @@ files = [
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version = "0.3.0"
description = "A collection of ASN.1-based protocols modules"
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optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
files = [
@@ -4629,7 +4748,6 @@ pyasn1 = ">=0.4.6,<0.6.0"
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version = "2.21"
description = "C parser in Python"
-category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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@@ -4694,7 +4811,6 @@ email = ["email-validator (>=1.0.3)"]
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version = "2.17.2"
description = "Pygments is a syntax highlighting package written in Python."
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optional = false
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@@ -4710,7 +4826,6 @@ windows-terminal = ["colorama (>=0.4.6)"]
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description = "A pure Python trie data structure implementation."
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optional = true
python-versions = "*"
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@@ -4722,7 +4837,6 @@ files = [
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description = "JSON Web Token implementation in Python"
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@@ -4743,7 +4857,6 @@ tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
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@@ -4773,7 +4886,6 @@ testutils = ["gitpython (>3)"]
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version = "4.6.1"
description = "Python driver for MongoDB <http://www.mongodb.org>"
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optional = false
python-versions = ">=3.7"
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python-versions = ">=3.6.8"
files = [
@@ -4888,11 +4998,24 @@ files = [
[package.extras]
diagrams = ["jinja2", "railroad-diagrams"]
+[[package]]
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+version = "1.0.0"
+description = "Wrappers to call pyproject.toml-based build backend hooks."
+optional = true
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+
[[package]]
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version = "3.4.1"
description = "A python implementation of GNU readline."
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optional = true
python-versions = "*"
files = [
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description = "pytest: simple powerful testing with Python"
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@@ -4928,7 +5050,6 @@ testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.
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@@ -4947,7 +5068,6 @@ testing = ["coverage (>=6.2)", "flaky (>=3.5.0)", "hypothesis (>=5.7.1)", "mypy
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@@ -4963,7 +5083,6 @@ python-dotenv = ">=0.9.1"
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description = "Thin-wrapper around the mock package for easier use with pytest"
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description = "Extensions to the standard Python datetime module"
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version = "1.0.0"
description = "Read key-value pairs from a .env file and set them as environment variables"
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python-versions = ">=3.8"
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description = "A python library adding a json log formatter"
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python-versions = ">=3.6"
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version = "2023.3.post1"
description = "World timezone definitions, modern and historical"
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description = "Python for Window Extensions"
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python-versions = "*"
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description = "Pseudo terminal support for Windows from Python."
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python-versions = ">=3.8"
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@@ -5125,7 +5247,6 @@ files = [
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version = "25.1.2"
description = "Python bindings for 0MQ"
-category = "dev"
optional = false
python-versions = ">=3.6"
files = [
@@ -5231,7 +5352,6 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
name = "qtconsole"
version = "5.5.1"
description = "Jupyter Qt console"
-category = "dev"
optional = false
python-versions = ">= 3.8"
files = [
@@ -5257,7 +5377,6 @@ test = ["flaky", "pytest", "pytest-qt"]
name = "qtpy"
version = "2.4.1"
description = "Provides an abstraction layer on top of the various Qt bindings (PyQt5/6 and PySide2/6)."
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -5275,7 +5394,6 @@ test = ["pytest (>=6,!=7.0.0,!=7.0.1)", "pytest-cov (>=3.0.0)", "pytest-qt"]
name = "rake-nltk"
version = "1.0.6"
description = "RAKE short for Rapid Automatic Keyword Extraction algorithm, is a domain independent keyword extraction algorithm which tries to determine key phrases in a body of text by analyzing the frequency of word appearance and its co-occurance with other words in the text."
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optional = false
python-versions = ">=3.6,<4.0"
files = [
@@ -5290,7 +5408,6 @@ nltk = ">=3.6.2,<4.0.0"
name = "rank-bm25"
version = "0.2.2"
description = "Various BM25 algorithms for document ranking"
-category = "main"
optional = true
python-versions = "*"
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@@ -5308,7 +5425,6 @@ dev = ["pytest"]
name = "referencing"
version = "0.32.1"
description = "JSON Referencing + Python"
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optional = false
python-versions = ">=3.8"
files = [
@@ -5324,7 +5440,6 @@ rpds-py = ">=0.7.0"
name = "regex"
version = "2023.12.25"
description = "Alternative regular expression module, to replace re."
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optional = false
python-versions = ">=3.7"
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@@ -5427,7 +5542,6 @@ files = [
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version = "2.31.0"
description = "Python HTTP for Humans."
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python-versions = ">=3.7"
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@@ -5449,7 +5563,6 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
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version = "0.18.0"
description = "A utility library for mocking out the `requests` Python library."
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optional = true
python-versions = ">=3.7"
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@@ -5468,7 +5581,6 @@ tests = ["coverage (>=6.0.0)", "flake8", "mypy", "pytest (>=4.6)", "pytest-cov",
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version = "0.1.4"
description = "A pure python RFC3339 validator"
-category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
files = [
@@ -5483,7 +5595,6 @@ six = "*"
name = "rfc3986-validator"
version = "0.1.1"
description = "Pure python rfc3986 validator"
-category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
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@@ -5495,7 +5606,6 @@ files = [
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version = "0.16.2"
description = "Python bindings to Rust's persistent data structures (rpds)"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -5604,7 +5714,6 @@ files = [
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version = "4.9"
description = "Pure-Python RSA implementation"
-category = "dev"
optional = false
python-versions = ">=3.6,<4"
files = [
@@ -5619,7 +5728,6 @@ pyasn1 = ">=0.1.3"
name = "ruff"
version = "0.0.292"
description = "An extremely fast Python linter, written in Rust."
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optional = false
python-versions = ">=3.7"
files = [
@@ -5646,7 +5754,6 @@ files = [
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version = "0.8.2"
description = "An Amazon S3 Transfer Manager"
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python-versions = ">= 3.7"
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@@ -5664,7 +5771,6 @@ crt = ["botocore[crt] (>=1.33.2,<2.0a.0)"]
name = "safetensors"
version = "0.4.1"
description = ""
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optional = true
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@@ -5784,7 +5890,6 @@ torch = ["safetensors[numpy]", "torch (>=1.10)"]
name = "scikit-learn"
version = "1.3.2"
description = "A set of python modules for machine learning and data mining"
-category = "main"
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testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
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name = "tomli"
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optional = false
python-versions = ">=3.7"
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@@ -6934,7 +6985,6 @@ files = [
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optional = false
python-versions = ">=3.7"
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@@ -6946,7 +6996,6 @@ files = [
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description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
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optional = true
python-versions = ">=3.8.0"
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@@ -7000,7 +7049,6 @@ opt-einsum = ["opt-einsum (>=3.3)"]
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description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
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@@ -7021,7 +7069,6 @@ files = [
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python-versions = ">=3.7"
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@@ -7042,7 +7089,6 @@ telegram = ["requests"]
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name = "transformers"
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python-versions = ">=3.8.0"
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protobuf = {version = "*", optional = true, markers = "extra == \"sentencepiece\""}
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sentencepiece = {version = ">=0.1.91,<0.1.92 || >0.1.92", optional = true, markers = "extra == \"sentencepiece\""}
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torch = {version = ">=1.10,<1.12.0 || >1.12.0", optional = true, markers = "extra == \"torch\""}
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sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
@@ -7114,24 +7160,23 @@ serving = ["fastapi", "pydantic (<2)", "starlette", "uvicorn"]
sigopt = ["sigopt"]
sklearn = ["scikit-learn"]
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic (<2)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "tensorboard", "timeout-decorator"]
-tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
-tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "timeout-decorator"]
+tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
+tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
timm = ["timm"]
-tokenizers = ["tokenizers (>=0.14,<0.19)"]
-torch = ["accelerate (>=0.21.0)", "torch (>=1.10,!=1.12.0)"]
+tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
+torch = ["accelerate (>=0.20.3)", "torch (>=1.10,!=1.12.0)"]
torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"]
+torch-vision = ["Pillow (<10.0.0)", "torchvision"]
+torchhub = ["filelock", "huggingface-hub (>=0.15.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"]
video = ["av (==9.2.0)", "decord (==0.6.0)"]
-vision = ["Pillow (>=10.0.1,<=15.0)"]
+vision = ["Pillow (<10.0.0)"]
[[package]]
name = "tree-sitter"
version = "0.20.4"
description = "Python bindings for the Tree-Sitter parsing library"
-category = "dev"
optional = false
python-versions = ">=3.3"
files = [
@@ -7220,7 +7265,6 @@ setuptools = {version = ">=60.0.0", markers = "python_version >= \"3.12\""}
name = "tree-sitter-languages"
version = "1.9.1"
description = "Binary Python wheels for all tree sitter languages."
-category = "dev"
optional = false
python-versions = "*"
files = [
@@ -7301,7 +7345,6 @@ tree-sitter = "*"
name = "triton"
version = "2.1.0"
description = "A language and compiler for custom Deep Learning operations"
-category = "main"
optional = true
python-versions = "*"
files = [
@@ -7327,7 +7370,6 @@ tutorials = ["matplotlib", "pandas", "tabulate"]
name = "typer"
version = "0.9.0"
description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
-category = "main"
optional = true
python-versions = ">=3.6"
files = [
@@ -7349,7 +7391,6 @@ test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.
name = "types-deprecated"
version = "1.2.9.20240106"
description = "Typing stubs for Deprecated"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -7361,7 +7402,6 @@ files = [
name = "types-docutils"
version = "0.20.0.20240106"
description = "Typing stubs for docutils"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -7373,7 +7413,6 @@ files = [
name = "types-protobuf"
version = "4.24.0.20240106"
description = "Typing stubs for protobuf"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -7385,7 +7424,6 @@ files = [
name = "types-pyopenssl"
version = "23.3.0.20240106"
description = "Typing stubs for pyOpenSSL"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -7400,7 +7438,6 @@ cryptography = ">=35.0.0"
name = "types-python-dateutil"
version = "2.8.19.20240106"
description = "Typing stubs for python-dateutil"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -7412,7 +7449,6 @@ files = [
name = "types-pyyaml"
version = "6.0.12.12"
description = "Typing stubs for PyYAML"
-category = "dev"
optional = false
python-versions = "*"
files = [
@@ -7424,7 +7460,6 @@ files = [
name = "types-redis"
version = "4.5.5.0"
description = "Typing stubs for redis"
-category = "dev"
optional = false
python-versions = "*"
files = [
@@ -7440,7 +7475,6 @@ types-pyOpenSSL = "*"
name = "types-requests"
version = "2.28.11.8"
description = "Typing stubs for requests"
-category = "dev"
optional = false
python-versions = "*"
files = [
@@ -7455,7 +7489,6 @@ types-urllib3 = "<1.27"
name = "types-setuptools"
version = "67.1.0.0"
description = "Typing stubs for setuptools"
-category = "dev"
optional = false
python-versions = "*"
files = [
@@ -7470,7 +7503,6 @@ types-docutils = "*"
name = "types-urllib3"
version = "1.26.25.14"
description = "Typing stubs for urllib3"
-category = "dev"
optional = false
python-versions = "*"
files = [
@@ -7482,7 +7514,6 @@ files = [
name = "typing-extensions"
version = "4.9.0"
description = "Backported and Experimental Type Hints for Python 3.8+"
-category = "main"
optional = false
python-versions = ">=3.8"
files = [
@@ -7494,7 +7525,6 @@ files = [
name = "typing-inspect"
version = "0.9.0"
description = "Runtime inspection utilities for typing module."
-category = "main"
optional = false
python-versions = "*"
files = [
@@ -7510,7 +7540,6 @@ typing-extensions = ">=3.7.4"
name = "tzdata"
version = "2023.4"
description = "Provider of IANA time zone data"
-category = "main"
optional = false
python-versions = ">=2"
files = [
@@ -7522,7 +7551,6 @@ files = [
name = "uri-template"
version = "1.3.0"
description = "RFC 6570 URI Template Processor"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -7537,7 +7565,6 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake
name = "urllib3"
version = "1.26.18"
description = "HTTP library with thread-safe connection pooling, file post, and more."
-category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
files = [
@@ -7554,7 +7581,6 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
name = "urllib3"
version = "2.0.7"
description = "HTTP library with thread-safe connection pooling, file post, and more."
-category = "main"
optional = false
python-versions = ">=3.7"
files = [
@@ -7572,7 +7598,6 @@ zstd = ["zstandard (>=0.18.0)"]
name = "vellum-ai"
version = "0.0.42"
description = ""
-category = "dev"
optional = false
python-versions = ">=3.7,<4.0"
files = [
@@ -7588,7 +7613,6 @@ pydantic = ">=1.9.2,<2.0.0"
name = "virtualenv"
version = "20.25.0"
description = "Virtual Python Environment builder"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -7609,7 +7633,6 @@ test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess
name = "wasabi"
version = "1.1.2"
description = "A lightweight console printing and formatting toolkit"
-category = "main"
optional = true
python-versions = ">=3.6"
files = [
@@ -7624,7 +7647,6 @@ colorama = {version = ">=0.4.6", markers = "sys_platform == \"win32\" and python
name = "wcwidth"
version = "0.2.13"
description = "Measures the displayed width of unicode strings in a terminal"
-category = "dev"
optional = false
python-versions = "*"
files = [
@@ -7636,7 +7658,6 @@ files = [
name = "weasel"
version = "0.3.4"
description = "Weasel: A small and easy workflow system"
-category = "main"
optional = true
python-versions = ">=3.6"
files = [
@@ -7659,7 +7680,6 @@ wasabi = ">=0.9.1,<1.2.0"
name = "webcolors"
version = "1.13"
description = "A library for working with the color formats defined by HTML and CSS."
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -7675,7 +7695,6 @@ tests = ["pytest", "pytest-cov"]
name = "webencodings"
version = "0.5.1"
description = "Character encoding aliases for legacy web content"
-category = "dev"
optional = false
python-versions = "*"
files = [
@@ -7687,7 +7706,6 @@ files = [
name = "websocket-client"
version = "1.7.0"
description = "WebSocket client for Python with low level API options"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -7700,11 +7718,24 @@ docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"]
optional = ["python-socks", "wsaccel"]
test = ["websockets"]
+[[package]]
+name = "wheel"
+version = "0.42.0"
+description = "A built-package format for Python"
+optional = true
+python-versions = ">=3.7"
+files = [
+ {file = "wheel-0.42.0-py3-none-any.whl", hash = "sha256:177f9c9b0d45c47873b619f5b650346d632cdc35fb5e4d25058e09c9e581433d"},
+ {file = "wheel-0.42.0.tar.gz", hash = "sha256:c45be39f7882c9d34243236f2d63cbd58039e360f85d0913425fbd7ceea617a8"},
+]
+
+[package.extras]
+test = ["pytest (>=6.0.0)", "setuptools (>=65)"]
+
[[package]]
name = "widgetsnbextension"
version = "4.0.9"
description = "Jupyter interactive widgets for Jupyter Notebook"
-category = "dev"
optional = false
python-versions = ">=3.7"
files = [
@@ -7716,7 +7747,6 @@ files = [
name = "wrapt"
version = "1.16.0"
description = "Module for decorators, wrappers and monkey patching."
-category = "main"
optional = false
python-versions = ">=3.6"
files = [
@@ -7796,7 +7826,6 @@ files = [
name = "xxhash"
version = "3.4.1"
description = "Python binding for xxHash"
-category = "main"
optional = true
python-versions = ">=3.7"
files = [
@@ -7914,7 +7943,6 @@ files = [
name = "yarl"
version = "1.9.4"
description = "Yet another URL library"
-category = "main"
optional = false
python-versions = ">=3.7"
files = [
@@ -8018,7 +8046,6 @@ multidict = ">=4.0"
name = "zipp"
version = "3.17.0"
description = "Backport of pathlib-compatible object wrapper for zip files"
-category = "dev"
optional = false
python-versions = ">=3.8"
files = [
@@ -8040,4 +8067,4 @@ query-tools = ["guidance", "jsonpath-ng", "lm-format-enforcer", "rank-bm25", "sc
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
-content-hash = "c70579267131c20843f8364e3e380cdb52272873bc6c1aae3b43815ec4d4bea1"
+content-hash = "cebcc981f86341bacc69ebb45a5d0e335abb68158c7e15d335f157eddf4f0630"
diff --git a/pyproject.toml b/pyproject.toml
index b7627c86baf0348321def820d05fdf646199e214..5ba9fad570d2a33395c51af9bd90f2cce4dd840b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -69,7 +69,7 @@ pgvector = {optional = true, version = "^0.1.0"}
psycopg-binary = {optional = true, version = "^3.1.12"}
optimum = {extras = ["onnxruntime"], optional = true, version = "^1.13.2"}
sentencepiece = {optional = true, version = "^0.1.99"}
-transformers = {extras = ["torch"], optional = true, version = "^4.34.0"}
+transformers = {extras = ["torch"], optional = true, version = "^4.33.1"}
guidance = {optional = true, version = "^0.0.64"}
lm-format-enforcer = {optional = true, version = "^0.4.3"}
jsonpath-ng = {optional = true, version = "^1.6.0"}
@@ -77,6 +77,7 @@ rank-bm25 = {optional = true, version = "^0.2.2"}
scikit-learn = {optional = true, version = "*"}
spacy = {optional = true, version = "^3.7.1"}
aiohttp = "^3.8.6"
+tensorrt_llm = {optional = true, python = "3.10", source = "nvidia-pypi", version = "^0.7.1"}
networkx = ">=3.0"
psycopg2 = {optional = true, version = "^2.9.9"}
@@ -154,6 +155,11 @@ sphinxcontrib-gtagjs = "^0.2.1"
[tool.poetry.scripts]
llamaindex-cli = 'llama_index.command_line.command_line:main'
+[[tool.poetry.source]]
+name = "nvidia-pypi"
+priority = "supplemental"
+url = "https://pypi.nvidia.com"
+
[tool.ruff]
exclude = [
"_static",