Spaces:
Sleeping
Sleeping
update dependency
Browse files
pdm.lock
CHANGED
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@@ -711,6 +711,24 @@ files = [
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{file = "h2-4.2.0.tar.gz", hash = "sha256:c8a52129695e88b1a0578d8d2cc6842bbd79128ac685463b887ee278126ad01f"},
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[[package]]
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name = "hpack"
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version = "4.1.0"
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@@ -783,13 +801,14 @@ files = [
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[[package]]
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name = "huggingface-hub"
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version = "0.
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requires_python = ">=3.8.0"
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summary = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
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groups = ["default"]
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dependencies = [
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"filelock",
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"fsspec>=2023.5.0",
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"packaging>=20.9",
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"pyyaml>=5.1",
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"requests",
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@@ -797,8 +816,8 @@ dependencies = [
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"typing-extensions>=3.7.4.3",
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]
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files = [
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{file = "huggingface_hub-0.
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{file = "huggingface_hub-0.
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]
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[[package]]
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@@ -991,7 +1010,7 @@ files = [
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[[package]]
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name = "langchain-core"
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version = "0.3.
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requires_python = ">=3.9"
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summary = "Building applications with LLMs through composability"
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groups = ["default"]
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@@ -1005,8 +1024,8 @@ dependencies = [
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"typing-extensions>=4.7",
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]
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files = [
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{file = "langchain_core-0.3.
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{file = "langchain_core-0.3.
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]
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[[package]]
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@@ -1029,18 +1048,18 @@ files = [
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[[package]]
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name = "langchain-openai"
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version = "0.3.
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requires_python = ">=3.9"
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summary = "An integration package connecting OpenAI and LangChain"
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groups = ["default"]
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dependencies = [
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"langchain-core<1.0.0,>=0.3.
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"openai<2.0.0,>=1.68.2",
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"tiktoken<1,>=0.7",
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]
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files = [
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{file = "langchain_openai-0.3.
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{file = "langchain_openai-0.3.
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]
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[[package]]
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@@ -1059,21 +1078,21 @@ files = [
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[[package]]
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name = "langgraph"
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version = "0.4.
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requires_python = ">=3.9"
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summary = "Building stateful, multi-actor applications with LLMs"
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groups = ["default"]
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dependencies = [
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"langchain-core>=0.1
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"langgraph-checkpoint
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"langgraph-prebuilt>=0.
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"langgraph-sdk>=0.1.42
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"pydantic>=2.7.4",
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"xxhash
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]
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files = [
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{file = "langgraph-0.4.
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{file = "langgraph-0.4.
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]
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[[package]]
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@@ -1093,18 +1112,17 @@ files = [
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[[package]]
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name = "langgraph-prebuilt"
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version = "0.1
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requires_python = "
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summary = "Library with high-level APIs for creating and executing LangGraph agents and tools."
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groups = ["default"]
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marker = "python_version < \"4.0\""
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dependencies = [
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"langchain-core
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"langgraph-checkpoint
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]
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files = [
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{file = "langgraph_prebuilt-0.1
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{file = "langgraph_prebuilt-0.1.
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]
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[[package]]
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@@ -1113,7 +1131,6 @@ version = "0.1.69"
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requires_python = ">=3.9"
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summary = "SDK for interacting with LangGraph API"
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groups = ["default"]
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marker = "python_version < \"4.0\""
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dependencies = [
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"httpx>=0.25.2",
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"orjson>=3.10.1",
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@@ -1937,7 +1954,7 @@ files = [
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[[package]]
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name = "pymilvus"
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version = "2.5.
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requires_python = ">=3.8"
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summary = "Python Sdk for Milvus"
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groups = ["default"]
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@@ -1953,25 +1970,25 @@ dependencies = [
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"ujson>=2.0.0",
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]
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files = [
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{file = "pymilvus-2.5.
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{file = "pymilvus-2.5.
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]
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[[package]]
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name = "pymupdf"
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version = "1.
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requires_python = ">=3.9"
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summary = "A high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents."
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groups = ["default"]
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files = [
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{file = "pymupdf-1.
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{file = "pymupdf-1.
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{file = "pymupdf-1.
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{file = "pymupdf-1.
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{file = "pymupdf-1.
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{file = "pymupdf-1.
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{file = "pymupdf-1.
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{file = "pymupdf-1.
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]
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[[package]]
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{file = "h2-4.2.0.tar.gz", hash = "sha256:c8a52129695e88b1a0578d8d2cc6842bbd79128ac685463b887ee278126ad01f"},
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]
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[[package]]
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name = "hf-xet"
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version = "1.1.2"
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requires_python = ">=3.8"
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summary = "Fast transfer of large files with the Hugging Face Hub."
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groups = ["default"]
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marker = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""
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files = [
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{file = "hf_xet-1.1.2-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:dfd1873fd648488c70735cb60f7728512bca0e459e61fcd107069143cd798469"},
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{file = "hf_xet-1.1.2-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:29b584983b2d977c44157d9241dcf0fd50acde0b7bff8897fe4386912330090d"},
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{file = "hf_xet-1.1.2-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b29ac84298147fe9164cc55ad994ba47399f90b5d045b0b803b99cf5f06d8ec"},
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{file = "hf_xet-1.1.2-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:d921ba32615676e436a0d15e162331abc9ed43d440916b1d836dc27ce1546173"},
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{file = "hf_xet-1.1.2-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:d9b03c34e13c44893ab6e8fea18ee8d2a6878c15328dd3aabedbdd83ee9f2ed3"},
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{file = "hf_xet-1.1.2-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:01b18608955b3d826307d37da8bd38b28a46cd2d9908b3a3655d1363274f941a"},
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{file = "hf_xet-1.1.2-cp37-abi3-win_amd64.whl", hash = "sha256:3562902c81299b09f3582ddfb324400c6a901a2f3bc854f83556495755f4954c"},
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{file = "hf_xet-1.1.2.tar.gz", hash = "sha256:3712d6d4819d3976a1c18e36db9f503e296283f9363af818f50703506ed63da3"},
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]
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[[package]]
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name = "hpack"
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version = "4.1.0"
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[[package]]
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name = "huggingface-hub"
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version = "0.32.0"
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requires_python = ">=3.8.0"
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summary = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
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groups = ["default"]
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dependencies = [
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"filelock",
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"fsspec>=2023.5.0",
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"hf-xet<2.0.0,>=1.1.2; platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"",
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"packaging>=20.9",
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"pyyaml>=5.1",
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"requests",
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"typing-extensions>=3.7.4.3",
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]
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files = [
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{file = "huggingface_hub-0.32.0-py3-none-any.whl", hash = "sha256:e56e94109649ce6ebdb59b4e393ee3543ec0eca2eab4f41b269e1d885c88d08c"},
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{file = "huggingface_hub-0.32.0.tar.gz", hash = "sha256:dd66c9365ea43049ec9b939bdcdb21a0051e1bd70026fc50304e4fb1bb6a15ba"},
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]
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[[package]]
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[[package]]
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name = "langchain-core"
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version = "0.3.61"
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requires_python = ">=3.9"
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summary = "Building applications with LLMs through composability"
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groups = ["default"]
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"typing-extensions>=4.7",
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]
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files = [
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{file = "langchain_core-0.3.61-py3-none-any.whl", hash = "sha256:62cddbda7fb6085b6096bb4f3ad69642ebb0585bde7b210edc61dd0af33f2ea4"},
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{file = "langchain_core-0.3.61.tar.gz", hash = "sha256:67ba08d4cf58616050047ef3a07887a72607fea9b6b4522dff9e7579a1adbe75"},
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]
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[[package]]
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[[package]]
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name = "langchain-openai"
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version = "0.3.18"
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requires_python = ">=3.9"
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summary = "An integration package connecting OpenAI and LangChain"
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groups = ["default"]
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dependencies = [
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"langchain-core<1.0.0,>=0.3.61",
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"openai<2.0.0,>=1.68.2",
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"tiktoken<1,>=0.7",
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]
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files = [
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{file = "langchain_openai-0.3.18-py3-none-any.whl", hash = "sha256:1687b972a6f6ac125cb8b23c0043278ab3bce031983ef9b32c1277155f88a03e"},
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+
{file = "langchain_openai-0.3.18.tar.gz", hash = "sha256:8e0769e4042de099a6217bbdccf7cc06b14c462e900424cbfc340c5f46f079ba"},
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]
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[[package]]
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[[package]]
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name = "langgraph"
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version = "0.4.7"
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requires_python = ">=3.9"
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summary = "Building stateful, multi-actor applications with LLMs"
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groups = ["default"]
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dependencies = [
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"langchain-core>=0.1",
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"langgraph-checkpoint>=2.0.26",
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"langgraph-prebuilt>=0.2.0",
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"langgraph-sdk>=0.1.42",
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"pydantic>=2.7.4",
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"xxhash>=3.5.0",
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]
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files = [
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{file = "langgraph-0.4.7-py3-none-any.whl", hash = "sha256:a925a3881fcd631eccf076994f41012e9320cd1adacc9aeb89ffcb3442b61f86"},
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{file = "langgraph-0.4.7.tar.gz", hash = "sha256:8948a35f6f85805c8ac36e94d5492c86a34c39dcf6f405b0f84491bc444e3479"},
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[[package]]
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[[package]]
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name = "langgraph-prebuilt"
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version = "0.2.1"
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requires_python = ">=3.9"
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summary = "Library with high-level APIs for creating and executing LangGraph agents and tools."
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groups = ["default"]
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dependencies = [
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"langchain-core>=0.3.22",
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"langgraph-checkpoint>=2.0.10",
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files = [
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{file = "langgraph_prebuilt-0.2.1-py3-none-any.whl", hash = "sha256:55e1a4f8d54a4b1fdda9f8300af9891da23808a43aba72e381aebebf7e51326c"},
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{file = "langgraph_prebuilt-0.2.1.tar.gz", hash = "sha256:3bdc2054cab54c2fd81f334974568316977ac96b678d5a3d95bf443aef6507d5"},
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]
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[[package]]
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requires_python = ">=3.9"
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summary = "SDK for interacting with LangGraph API"
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groups = ["default"]
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dependencies = [
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"httpx>=0.25.2",
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"orjson>=3.10.1",
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[[package]]
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name = "pymilvus"
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version = "2.5.10"
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requires_python = ">=3.8"
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summary = "Python Sdk for Milvus"
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groups = ["default"]
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"ujson>=2.0.0",
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]
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files = [
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{file = "pymilvus-2.5.10-py3-none-any.whl", hash = "sha256:7da540f93068871cda3941602c55227aeaafb66f2f0d9c05e8f9db783716b100"},
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{file = "pymilvus-2.5.10.tar.gz", hash = "sha256:cc44ad776aeab781ee4c4a4d334b73e746066ab2fb6722c5311f02efa6fc54a2"},
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]
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[[package]]
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name = "pymupdf"
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version = "1.26.0"
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requires_python = ">=3.9"
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summary = "A high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents."
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groups = ["default"]
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files = [
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{file = "pymupdf-1.26.0-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:86195673a5f2b3fbf0f75c73c40975a893fc42bf3d5c2a7cce9fb160704d9997"},
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{file = "pymupdf-1.26.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:26c5df128a0ed7c38b80a1e7ddd792dd4d8b264839b6b8b6b6b768b13c0bb60e"},
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| 1986 |
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{file = "pymupdf-1.26.0-cp39-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:84a4dc96144a6bdf13f7d78c21500b3d1bef14d658156afd479acb3995f650c3"},
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| 1987 |
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{file = "pymupdf-1.26.0-cp39-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a3f6a45fcf8177763a2629a2ab2cad326e8950a0d120b174b56369365355a2a7"},
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| 1988 |
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{file = "pymupdf-1.26.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b5d4751696ba888ab1a91c6a0208c5d31724ee0bebe406f7a83067a08214f88b"},
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| 1989 |
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{file = "pymupdf-1.26.0-cp39-abi3-win32.whl", hash = "sha256:eeb04a439355e2077f7675b8ad9377263d81990fc507748f2254a87d771d682b"},
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| 1990 |
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{file = "pymupdf-1.26.0-cp39-abi3-win_amd64.whl", hash = "sha256:e39cc74ff030d773c4e76b9e5c5919cc4683895b73bd63bfd7a349a53ab5e8d7"},
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{file = "pymupdf-1.26.0.tar.gz", hash = "sha256:ffe023f820379c84a0ddae38b0d07ea4016e1de84929491c34415520c629bcce"},
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]
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[[package]]
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