Files
langchain/libs/partners/perplexity/pyproject.toml
Mason Daugherty 4108c0738c release(core): 1.4.7 (#38111)
Bumps `langchain-core` to `1.4.7` for the next patch release and updates
downstream minimum `langchain-core` requirements so package locks
resolve against the new core version.

This also refreshes the runnable snapshots that embed `lc_versions`
metadata so the version consistency check continues to validate
checked-in artifacts.

Validated with `python libs/core/scripts/check_version.py`, `uv lock
--check` across package lockfiles, and the core runnable tests that own
the updated snapshots with local LangSmith tracing env disabled.
2026-06-12 14:54:25 -04:00

115 lines
3.5 KiB
TOML

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "langchain-perplexity"
description = "An integration package connecting Perplexity and LangChain"
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",
]
version = "1.4.0"
requires-python = ">=3.10.0,<4.0.0"
dependencies = [
"langchain-core>=1.4.7,<2.0.0",
"perplexityai>=0.34.1,<1.0.0",
]
[project.urls]
Homepage = "https://docs.langchain.com/oss/python/integrations/providers/perplexity"
Documentation = "https://reference.langchain.com/python/integrations/langchain_perplexity/"
Repository = "https://github.com/langchain-ai/langchain"
Issues = "https://github.com/langchain-ai/langchain/issues"
Changelog = "https://github.com/langchain-ai/langchain/releases?q=%22langchain-perplexity%22"
Twitter = "https://x.com/langchain_oss"
Slack = "https://www.langchain.com/join-community"
Reddit = "https://www.reddit.com/r/LangChain/"
[dependency-groups]
test = [
"pytest>=9.0.3,<10.0.0",
"freezegun>=1.2.2,<2.0.0",
"pytest-mock>=3.10.0,<4.0.0",
"syrupy>=5.0.0,<6.0.0",
"pytest-watcher>=0.3.4,<1.0.0",
"pytest-asyncio>=1.3.0,<2.0.0",
"pytest-cov>=4.1.0,<5.0.0",
"pytest-retry>=1.7.0,<1.8.0",
"pytest-socket>=0.6.0,<1.0.0",
"pytest-xdist>=3.6.1,<4.0.0",
"langchain-tests>=1.1.9,<2.0.0",
]
lint = ["ruff>=0.13.1,<0.14.0"]
dev = []
test_integration = [
"httpx>=0.27.0,<1.0.0",
"pillow>=12.1.1,<13.0.0",
]
typing = [
"mypy>=2.1.0,<2.2.0",
"types-tqdm>=4.66.0.5,<5.0.0.0",
]
[tool.uv]
constraint-dependencies = ["pygments>=2.20.0"] # CVE-2026-4539
[tool.uv.sources]
langchain-core = { path = "../../core", editable = true }
langchain-tests = { path = "../../standard-tests", editable = true }
[tool.mypy]
# `pydantic.mypy` is required here (code is authored against it). See the longer
# note in `langchain-anthropic`'s pyproject.toml for why the other partners
# intentionally omit this plugin.
plugins = ["pydantic.mypy"]
disallow_untyped_defs = true
[[tool.mypy.overrides]]
module = "transformers"
ignore_missing_imports = true
[tool.ruff.format]
docstring-code-format = true
[tool.ruff.lint]
select = ["E", "F", "I", "T201", "UP", "S"]
[tool.ruff.lint.pydocstyle]
convention = "google"
ignore-var-parameters = true # ignore missing documentation for *args and **kwargs parameters
[tool.ruff.lint.flake8-tidy-imports]
ban-relative-imports = "all"
[tool.coverage.run]
omit = ["tests/*"]
[tool.pytest.ini_options]
addopts = "--snapshot-warn-unused --strict-markers --strict-config --durations=5 --cov=langchain_perplexity"
markers = [
"requires: mark tests as requiring a specific library",
"compile: mark placeholder test used to compile integration tests without running them",
"scheduled: mark tests to run in scheduled testing",
]
asyncio_mode = "auto"
filterwarnings = [
"ignore::langchain_core._api.beta_decorator.LangChainBetaWarning",
]
[tool.ruff.lint.extend-per-file-ignores]
"tests/**/*.py" = [
"S101", # Tests need assertions
"S311", # Standard pseudo-random generators are not suitable for cryptographic purposes
]