mirror of
https://github.com/hwchase17/langchain.git
synced 2026-06-09 18:50:33 +00:00
bc8620189c
dependent upon https://github.com/langchain-ai/langgraph/pull/6711 1. relax constraint in `factory.py` to allow for tools not pre-registered in the `ModelRequest.tools` list 2. always add tool node if `wrap_tool_call` or `awrap_tool_call` is implemented 3. add tests confirming you can register new tools at runtime in `wrap_model_call` and execute them via `wrap_tool_call` allows for the following pattern ```py from langchain_core.messages import HumanMessage, ToolMessage from langchain_core.tools import tool from libs.langchain_v1.langchain.agents.factory import create_agent from libs.langchain_v1.langchain.agents.middleware.types import ( AgentMiddleware, ModelRequest, ToolCallRequest, ) @tool def get_weather(location: str) -> str: """Get the current weather for a location.""" return f"The weather in {location} is sunny and 72°F." @tool def calculate_tip(bill_amount: float, tip_percentage: float = 20.0) -> str: """Calculate the tip amount for a bill.""" tip = bill_amount * (tip_percentage / 100) return f"Tip: ${tip:.2f}, Total: ${bill_amount + tip:.2f}" class DynamicToolMiddleware(AgentMiddleware): """Middleware that adds and handles a dynamic tool.""" def wrap_model_call(self, request: ModelRequest, handler): updated = request.override(tools=[*request.tools, calculate_tip]) return handler(updated) def wrap_tool_call(self, request: ToolCallRequest, handler): if request.tool_call["name"] == "calculate_tip": return handler(request.override(tool=calculate_tip)) return handler(request) agent = create_agent(model="openai:gpt-4o-mini", tools=[get_weather], middleware=[DynamicToolMiddleware()]) result = agent.invoke({ "messages": [HumanMessage("What's the weather in NYC? Also calculate a 20% tip on a $85 bill")] }) for msg in result["messages"]: msg.pretty_print() ```
176 lines
4.9 KiB
TOML
176 lines
4.9 KiB
TOML
[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[project]
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name = "langchain"
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description = "Building applications with LLMs through composability"
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license = { text = "MIT" }
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readme = "README.md"
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authors = []
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version = "1.2.6"
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requires-python = ">=3.10.0,<4.0.0"
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dependencies = [
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"langchain-core>=1.2.7,<2.0.0",
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"langgraph>=1.0.7,<1.1.0",
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"pydantic>=2.7.4,<3.0.0",
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]
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[project.optional-dependencies]
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community = ["langchain-community"]
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anthropic = ["langchain-anthropic"]
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openai = ["langchain-openai"]
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azure-ai = ["langchain-azure-ai"]
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#cohere = ["langchain-cohere"]
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google-vertexai = ["langchain-google-vertexai"]
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google-genai = ["langchain-google-genai"]
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fireworks = ["langchain-fireworks"]
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ollama = ["langchain-ollama"]
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together = ["langchain-together"]
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mistralai = ["langchain-mistralai"]
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huggingface = ["langchain-huggingface"]
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groq = ["langchain-groq"]
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aws = ["langchain-aws"]
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deepseek = ["langchain-deepseek"]
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xai = ["langchain-xai"]
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perplexity = ["langchain-perplexity"]
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[project.urls]
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Homepage = "https://docs.langchain.com/"
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Documentation = "https://reference.langchain.com/python/langchain/langchain/"
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Source = "https://github.com/langchain-ai/langchain/tree/master/libs/langchain"
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Changelog = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain%3D%3D1%22"
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Twitter = "https://x.com/LangChain"
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Slack = "https://www.langchain.com/join-community"
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Reddit = "https://www.reddit.com/r/LangChain/"
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[dependency-groups]
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test = [
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"pytest>=8.0.0,<9.0.0",
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"pytest-cov>=4.0.0,<8.0.0",
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"pytest-watcher>=0.2.6,<1.0.0",
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"pytest-asyncio>=0.23.2,<2.0.0",
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"pytest-socket>=0.6.0,<1.0.0",
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"pytest-xdist<4.0.0,>=3.6.1",
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"pytest-mock",
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"syrupy>=4.0.2,<5.0.0",
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"toml>=0.10.2,<1.0.0",
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"langchain-tests",
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"langchain-openai",
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]
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lint = [
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"ruff>=0.14.11,<0.15.0",
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]
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typing = [
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"mypy>=1.19.1,<1.20.0",
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"types-toml>=0.10.8.20240310,<1.0.0.0",
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]
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test_integration = [
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"vcrpy>=7.0.0,<8.0.0",
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"wrapt>=1.15.0,<2.0.0",
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"python-dotenv>=1.0.0,<2.0.0",
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"langchainhub>=0.1.16,<1.0.0",
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"langchain-core",
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"langchain-text-splitters",
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]
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[tool.uv]
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prerelease = "allow"
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[tool.uv.sources]
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langchain-core = { path = "../core", editable = true }
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langchain-tests = { path = "../standard-tests", editable = true }
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langchain-text-splitters = { path = "../text-splitters", editable = true }
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langchain-openai = { path = "../partners/openai", editable = true }
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[tool.ruff]
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line-length = 100
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[tool.mypy]
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strict = true
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enable_error_code = "deprecated"
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warn_unreachable = true
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exclude = ["tests/unit_tests/agents/*"]
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# TODO: activate for 'strict' checking
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warn_return_any = false
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[[tool.mypy.overrides]]
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module = ["pytest_socket.*", "vcr.*"]
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ignore_missing_imports = true
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[tool.ruff.format]
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docstring-code-format = true
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[tool.ruff.lint]
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select = [
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"ALL"
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]
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ignore = [
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"C90", # McCabe complexity
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"COM812", # Messes with the formatter
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"CPY", # No copyright
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"FIX002", # Line contains TODO
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"PERF203", # Rarely useful
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"PLR09", # Too many something (arg, statements, etc)
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"TD002", # Missing author in TODO
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"TD003", # Missing issue link in TODO
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# TODO rules
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"ANN401", # Any in type annotations
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"BLE", # Blind exceptions
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]
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unfixable = [
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"B028", # People should intentionally tune the stacklevel
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]
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flake8-annotations.allow-star-arg-any = true
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allowed-confusables = ["–"]
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[tool.ruff.lint.flake8-tidy-imports]
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ban-relative-imports = "all"
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[tool.ruff.lint.pydocstyle]
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convention = "google"
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ignore-var-parameters = true # ignore missing documentation for *args and **kwargs parameters
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[tool.ruff.lint.extend-per-file-ignores]
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"tests/unit_tests/agents/*" = [
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"ANN", # Annotations, needs to fix
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"ARG", # Arguments, needs to fix
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]
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"tests/unit_tests/agents/test_responses_spec.py" = ["F821"]
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"tests/unit_tests/agents/test_return_direct_spec.py" = ["F821"]
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"tests/unit_tests/agents/test_react_agent.py" = ["ALL"]
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"tests/*" = [
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"D1", # Documentation rules
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"S101", # Tests need assertions
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"S311", # Standard pseudo-random generators are not suitable for cryptographic purposes
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"SLF001", # Private member access in tests
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"PLR2004", # Magic values are perfectly fine in unit tests (e.g. 0, 1, 2, etc.)
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]
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"scripts/*" = [
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"INP", # Scripts are not in a package
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]
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[tool.coverage.run]
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omit = ["tests/*"]
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[tool.pytest.ini_options]
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addopts = "--strict-markers --strict-config --durations=5 --snapshot-warn-unused -vv"
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markers = [
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"requires: mark tests as requiring a specific library",
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"scheduled: mark tests to run in scheduled testing",
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"compile: mark placeholder test used to compile integration tests without running them",
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]
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asyncio_mode = "auto"
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filterwarnings = [
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"ignore::langchain_core._api.beta_decorator.LangChainBetaWarning",
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"ignore::langchain_core._api.deprecation.LangChainDeprecationWarning:tests",
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"ignore::langchain_core._api.deprecation.LangChainPendingDeprecationWarning:tests",
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]
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