{ lib, buildPythonPackage, fetchFromGitHub, pythonOlder, nix-update-script, # build-system pdm-backend, # buildInputs bash, # dependencies aiohttp, async-timeout, langchain-core, langchain-text-splitters, langsmith, numpy, pydantic, pyyaml, requests, sqlalchemy, tenacity, # tests blockbuster, freezegun, httpx, lark, pandas, pytest-asyncio, pytest-mock, pytest-socket, pytestCheckHook, requests-mock, responses, syrupy, toml, }: buildPythonPackage rec { pname = "langchain"; version = "0.3.25"; pyproject = true; src = fetchFromGitHub { owner = "langchain-ai"; repo = "langchain"; tag = "langchain==${version}"; hash = "sha256-B2Kg8kC6Qlu89hZVMhgqPU32BwFvgAti0IIYUdosT1A="; }; sourceRoot = "${src.name}/libs/langchain"; build-system = [ pdm-backend ]; buildInputs = [ bash ]; pythonRelaxDeps = [ # Each component release requests the exact latest core. # That prevents us from updating individual components. "langchain-core" "numpy" "tenacity" ]; dependencies = [ aiohttp langchain-core langchain-text-splitters langsmith numpy pydantic pyyaml requests sqlalchemy tenacity ] ++ lib.optional (pythonOlder "3.11") async-timeout; optional-dependencies = { numpy = [ numpy ]; }; nativeCheckInputs = [ blockbuster freezegun httpx lark pandas pytest-asyncio pytest-mock pytest-socket pytestCheckHook requests-mock responses syrupy toml ]; pytestFlagsArray = [ # integration_tests require network access, database access and require `OPENAI_API_KEY`, etc. "tests/unit_tests" "--only-core" ]; disabledTests = [ # These tests have database access "test_table_info" "test_sql_database_run" # These tests have network access "test_socket_disabled" "test_openai_agent_with_streaming" "test_openai_agent_tools_agent" # This test may require a specific version of langchain-community "test_compatible_vectorstore_documentation" # AssertionErrors "test_callback_handlers" "test_generic_fake_chat_model" # Test is outdated "test_serializable_mapping" "test_person" "test_aliases_hidden" ]; disabledTestPaths = [ # pydantic.errors.PydanticUserError: `ConversationSummaryMemory` is not fully defined; you should define `BaseCache`, then call `ConversationSummaryMemory.model_rebuild()`. "tests/unit_tests/chains/test_conversation.py" # pydantic.errors.PydanticUserError: `ConversationSummaryMemory` is not fully defined; you should define `BaseCache`, then call `ConversationSummaryMemory.model_rebuild()`. "tests/unit_tests/chains/test_memory.py" # pydantic.errors.PydanticUserError: `ConversationSummaryBufferMemory` is not fully defined; you should define `BaseCache`, then call `ConversationSummaryBufferMemory.model_rebuild()`. "tests/unit_tests/chains/test_summary_buffer_memory.py" "tests/unit_tests/output_parsers/test_fix.py" "tests/unit_tests/chains/test_llm_checker.py" # TypeError: Can't instantiate abstract class RunnableSerializable[RetryOutputParserRetryChainInput, str] without an implementation for abstract method 'invoke' "tests/unit_tests/output_parsers/test_retry.py" # pydantic.errors.PydanticUserError: `LLMSummarizationCheckerChain` is not fully defined; you should define `BaseCache`, then call `LLMSummarizationCheckerChain.model_rebuild()`. "tests/unit_tests/chains/test_llm_summarization_checker.py" ]; pythonImportsCheck = [ "langchain" ]; passthru.updateScript = nix-update-script { extraArgs = [ "--version-regex" "langchain==([0-9.]+)" ]; }; meta = { description = "Building applications with LLMs through composability"; homepage = "https://github.com/langchain-ai/langchain"; changelog = "https://github.com/langchain-ai/langchain/releases/tag/v${version}"; license = lib.licenses.mit; maintainers = with lib.maintainers; [ natsukium sarahec ]; mainProgram = "langchain-server"; }; }