mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-08-24 16:42:24 +02:00
Update langchain
This commit is contained in:
+8
-6
@@ -325,10 +325,11 @@ class Pregel(RunnableSerializable[dict[str, Any] | Any, dict[str, Any] | Any]):
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if isinstance(self.input, str):
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return self.channels[self.input].UpdateType
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@property
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def input_schema(self) -> Type[BaseModel]:
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def get_input_schema(
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self, config: Optional[RunnableConfig] = None
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) -> Type[BaseModel]:
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if isinstance(self.input, str):
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return super().input_schema
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return super().get_input_schema(config)
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else:
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return create_model( # type: ignore[call-overload]
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"PregelInput",
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@@ -343,10 +344,11 @@ class Pregel(RunnableSerializable[dict[str, Any] | Any, dict[str, Any] | Any]):
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if isinstance(self.output, str):
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return self.channels[self.output].ValueType
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@property
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def output_schema(self) -> Type[BaseModel]:
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def get_output_schema(
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self, config: Optional[RunnableConfig] = None
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) -> Type[BaseModel]:
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if isinstance(self.output, str):
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return super().output_schema
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return super().get_output_schema(config)
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else:
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return create_model( # type: ignore[call-overload]
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"PregelOutput",
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Generated
+11
-11
@@ -1532,13 +1532,13 @@ files = [
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[[package]]
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name = "langchain"
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version = "0.0.316"
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version = "0.0.320"
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description = "Building applications with LLMs through composability"
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optional = false
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python-versions = ">=3.8.1,<4.0"
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files = [
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{file = "langchain-0.0.316-py3-none-any.whl", hash = "sha256:997d2ecdaf481517c90dcea86f93b98327546c357ac8f581f06d7d782a2eda2d"},
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{file = "langchain-0.0.316.tar.gz", hash = "sha256:732c958d41e22a5bb55f8c0cb70914793f083d175739d476e5cbbc7715703153"},
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{file = "langchain-0.0.320-py3-none-any.whl", hash = "sha256:53e32b581a8a0215a78086bc19725ef287a4daf4009733dfc9995d657433291c"},
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{file = "langchain-0.0.320.tar.gz", hash = "sha256:e2dee9779583220d4031307f54169ac65fe23b81cb425756d54dce1277aef4ba"},
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]
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[package.dependencies]
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@@ -1563,7 +1563,7 @@ cli = ["typer (>=0.9.0,<0.10.0)"]
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cohere = ["cohere (>=4,<5)"]
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docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"]
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embeddings = ["sentence-transformers (>=2,<3)"]
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extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "amazon-textract-caller (<2)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "dashvector (>=1.0.1,<2.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "gql (>=3.4.1,<4.0.0)", "html2text (>=2020.1.16,<2021.0.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "lxml (>=4.9.2,<5.0.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (>=0,<1)", "openapi-schema-pydantic (>=1.2,<2.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
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extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "amazon-textract-caller (<2)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "dashvector (>=1.0.1,<2.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "gql (>=3.4.1,<4.0.0)", "html2text (>=2020.1.16,<2021.0.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "lxml (>=4.9.2,<5.0.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (>=0,<1)", "openapi-pydantic (>=0.3.2,<0.4.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
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javascript = ["esprima (>=4.0.1,<5.0.0)"]
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llms = ["clarifai (>=9.1.0)", "cohere (>=4,<5)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (>=0,<1)", "openlm (>=0.0.5,<0.0.6)", "torch (>=1,<3)", "transformers (>=4,<5)"]
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openai = ["openai (>=0,<1)", "tiktoken (>=0.3.2,<0.6.0)"]
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@@ -1572,13 +1572,13 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
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[[package]]
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name = "langsmith"
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version = "0.0.44"
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version = "0.0.49"
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description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
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optional = false
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python-versions = ">=3.8.1,<4.0"
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files = [
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{file = "langsmith-0.0.44-py3-none-any.whl", hash = "sha256:5e7e5b45360ce89a2d5d6066a3b9fdd31b1f874a0cf19b1666c9792fecef0a1b"},
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{file = "langsmith-0.0.44.tar.gz", hash = "sha256:74a262ba23a958ca1a4863d5386c151be462e40ccfcb8b39d0a5d8c9eaa40164"},
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{file = "langsmith-0.0.49-py3-none-any.whl", hash = "sha256:020d9515be277c26b16c1f576e466559766a64652cf9f50eb8b8879cc823f3c7"},
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{file = "langsmith-0.0.49.tar.gz", hash = "sha256:4e51edf71337bd8cbe008f347f96bf8ca85c3281ea617db62e4c33333fc6b01e"},
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]
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[package.dependencies]
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@@ -2501,13 +2501,13 @@ python-dotenv = ">=0.9.1"
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[[package]]
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name = "pytest-mock"
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version = "3.11.1"
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version = "3.12.0"
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description = "Thin-wrapper around the mock package for easier use with pytest"
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optional = false
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python-versions = ">=3.7"
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python-versions = ">=3.8"
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files = [
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{file = "pytest-mock-3.11.1.tar.gz", hash = "sha256:7f6b125602ac6d743e523ae0bfa71e1a697a2f5534064528c6ff84c2f7c2fc7f"},
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{file = "pytest_mock-3.11.1-py3-none-any.whl", hash = "sha256:21c279fff83d70763b05f8874cc9cfb3fcacd6d354247a976f9529d19f9acf39"},
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{file = "pytest-mock-3.12.0.tar.gz", hash = "sha256:31a40f038c22cad32287bb43932054451ff5583ff094bca6f675df2f8bc1a6e9"},
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{file = "pytest_mock-3.12.0-py3-none-any.whl", hash = "sha256:0972719a7263072da3a21c7f4773069bcc7486027d7e8e1f81d98a47e701bc4f"},
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]
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[package.dependencies]
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