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langchain/libs/langchain_v1/pyproject.toml
Sydney Runkle dde2012b83 feat: threading context through create_agent flows + middleware (#34978) 
Closes https://github.com/langchain-ai/langchain/issues/33956

* Making `ModelRequest` generic on `ContextT` and `ResponseT` so that we
can thread type information through to `wrap_model_call`
* Making builtin middlewares generic on `ContextT` and `ResponseT` so
their context and response types can be inferred from the `create_agent`
signature

See new tests that verify backwards compatibility (for cases where folks
use custom middleware that wasn't parametrized).

This fixes:
1. Lack of access to context and response types in `wrap_model_call`
2. Lack of cohesion between middleware context + response types with
those specified in `create_agent`

See examples below:

### Type-safe context and response access

```python
class MyMiddleware(AgentMiddleware[AgentState[AnalysisResult], UserContext, AnalysisResult]):
    def wrap_model_call(
        self,
        request: ModelRequest[UserContext],
        handler: Callable[[ModelRequest[UserContext]], ModelResponse[AnalysisResult]],
    ) -> ModelResponse[AnalysisResult]:
        # ✅ Now type-safe: IDE knows user_id exists and is str
        user_id: str = request.runtime.context["user_id"]

        # ❌ mypy error: "session_id" doesn't exist on UserContext
        request.runtime.context["session_id"]

        response = handler(request)

        if response.structured_response is not None:
            # ✅ Now type-safe: IDE knows sentiment exists and is str
            sentiment: str = response.structured_response.sentiment

            # ❌ mypy error: "summary" doesn't exist on AnalysisResult
            response.structured_response.summary

        return response
```

### Mismatched middleware/schema caught at `create_agent`

```python
class SessionMiddleware(AgentMiddleware[AgentState[Any], SessionContext, Any]):
    ...

# ❌ mypy error: SessionMiddleware expects SessionContext, not UserContext
create_agent(
    model=model,
    middleware=[SessionMiddleware()],
    context_schema=UserContext,  # mismatch!
)

class AnalysisMiddleware(AgentMiddleware[AgentState[AnalysisResult], ContextT, AnalysisResult]):
    ...

# ❌ mypy error: AnalysisMiddleware expects AnalysisResult, not SummaryResult
create_agent(
    model=model,
    middleware=[AnalysisMiddleware()],
    response_format=SummaryResult,  # mismatch!
)
```
2026-02-05 07:41:27 -05:00

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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "langchain"
description = "Building applications with LLMs through composability"
license = { text = "MIT" }
readme = "README.md"
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.14",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules",
]
version = "1.2.8"
requires-python = ">=3.10.0,<4.0.0"
dependencies = [
"langchain-core>=1.2.8,<2.0.0",
"langgraph>=1.0.7,<1.1.0",
"pydantic>=2.7.4,<3.0.0",
]
[project.optional-dependencies]
community = ["langchain-community"]
anthropic = ["langchain-anthropic"]
openai = ["langchain-openai"]
azure-ai = ["langchain-azure-ai"]
#cohere = ["langchain-cohere"]
google-vertexai = ["langchain-google-vertexai"]
google-genai = ["langchain-google-genai"]
fireworks = ["langchain-fireworks"]
ollama = ["langchain-ollama"]
together = ["langchain-together"]
mistralai = ["langchain-mistralai"]
huggingface = ["langchain-huggingface"]
groq = ["langchain-groq"]
aws = ["langchain-aws"]
deepseek = ["langchain-deepseek"]
xai = ["langchain-xai"]
perplexity = ["langchain-perplexity"]
[project.urls]
Homepage = "https://docs.langchain.com/"
Documentation = "https://reference.langchain.com/python/langchain/langchain/"
Repository = "https://github.com/langchain-ai/langchain"
Issues = "https://github.com/langchain-ai/langchain/issues"
Changelog = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain%3D%3D1%22"
Twitter = "https://x.com/LangChain"
Slack = "https://www.langchain.com/join-community"
Reddit = "https://www.reddit.com/r/LangChain/"
[dependency-groups]
test = [
"pytest>=8.0.0,<9.0.0",
"pytest-cov>=4.0.0,<8.0.0",
"pytest-watcher>=0.2.6,<1.0.0",
"pytest-asyncio>=0.23.2,<2.0.0",
"pytest-socket>=0.6.0,<1.0.0",
"pytest-xdist<4.0.0,>=3.6.1",
"pytest-mock",
"syrupy>=4.0.2,<5.0.0",
"toml>=0.10.2,<1.0.0",
"blockbuster>=1.5.26,<1.6.0",
"langchain-tests",
"langchain-openai",
]
lint = [
"ruff>=0.14.11,<0.15.0",
]
typing = [
"mypy>=1.19.1,<1.20.0",
"types-toml>=0.10.8.20240310,<1.0.0.0",
]
test_integration = [
"vcrpy>=8.0.0,<9.0.0",
"wrapt>=1.15.0,<2.0.0",
"python-dotenv>=1.0.0,<2.0.0",
"langchainhub>=0.1.16,<1.0.0",
"langchain-core",
"langchain-text-splitters",
]
[tool.uv]
prerelease = "allow"
constraint-dependencies = ["urllib3>=2.6.3"]
[tool.uv.sources]
langchain-core = { path = "../core", editable = true }
langchain-tests = { path = "../standard-tests", editable = true }
langchain-text-splitters = { path = "../text-splitters", editable = true }
langchain-openai = { path = "../partners/openai", editable = true }
[tool.ruff]
line-length = 100
[tool.mypy]
strict = true
enable_error_code = "deprecated"
warn_unreachable = true
exclude = [
# Exclude agents tests except middleware_typing/ which has type-checked tests
"tests/unit_tests/agents/middleware/",
"tests/unit_tests/agents/specifications/",
"tests/unit_tests/agents/test_.*\\.py",
]
# TODO: activate for 'strict' checking
warn_return_any = false
[[tool.mypy.overrides]]
module = ["pytest_socket.*", "vcr.*"]
ignore_missing_imports = true
[tool.ruff.format]
docstring-code-format = true
[tool.ruff.lint]
select = [
"ALL"
]
ignore = [
"C90", # McCabe complexity
"COM812", # Messes with the formatter
"CPY", # No copyright
"FIX002", # Line contains TODO
"PERF203", # Rarely useful
"PLR09", # Too many something (arg, statements, etc)
"TD002", # Missing author in TODO
"TD003", # Missing issue link in TODO
# TODO rules
"ANN401", # Any in type annotations
"BLE", # Blind exceptions
]
unfixable = [
"B028", # People should intentionally tune the stacklevel
]
flake8-annotations.allow-star-arg-any = true
allowed-confusables = ["–"]
[tool.ruff.lint.flake8-tidy-imports]
ban-relative-imports = "all"
[tool.ruff.lint.pydocstyle]
convention = "google"
ignore-var-parameters = true # ignore missing documentation for *args and **kwargs parameters
[tool.ruff.lint.extend-per-file-ignores]
"tests/unit_tests/agents/*" = [
"ANN", # Annotations, needs to fix
"ARG", # Arguments, needs to fix
]
"tests/unit_tests/agents/test_responses_spec.py" = ["F821"]
"tests/unit_tests/agents/test_return_direct_spec.py" = ["F821"]
"tests/unit_tests/agents/test_react_agent.py" = ["ALL"]
"tests/*" = [
"D1", # Documentation rules
"S101", # Tests need assertions
"S311", # Standard pseudo-random generators are not suitable for cryptographic purposes
"SLF001", # Private member access in tests
"PLR2004", # Magic values are perfectly fine in unit tests (e.g. 0, 1, 2, etc.)
]
"scripts/*" = [
"INP", # Scripts are not in a package
]
[tool.coverage.run]
omit = ["tests/*"]
[tool.pytest.ini_options]
addopts = "--strict-markers --strict-config --durations=5 --snapshot-warn-unused -vv"
markers = [
"requires: mark tests as requiring a specific library",
"scheduled: mark tests to run in scheduled testing",
"compile: mark placeholder test used to compile integration tests without running them",
]
asyncio_mode = "auto"
filterwarnings = [
"ignore::langchain_core._api.beta_decorator.LangChainBetaWarning",
"ignore::langchain_core._api.deprecation.LangChainDeprecationWarning:tests",
"ignore::langchain_core._api.deprecation.LangChainPendingDeprecationWarning:tests",
]
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