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Contributing

Development

Add Poetry plugins

poetry self add poetry-dotenv-plugin

Install dependencies

poetry install --all-extras

Add Pre-commit

poetry run pre-commit install

Type Checking

To run type checking on the langfuse package, run:

poetry run mypy langfuse --no-error-summary

Tests

Setup

  • Add .env based on .env.template

Run

  • Run all

    poetry run pytest -s -v --log-cli-level=INFO

  • Run a specific test

    poetry run pytest -s -v --log-cli-level=INFO tests/test_core_sdk.py::test_flush

  • E2E tests involving OpenAI and Serp API are usually skipped, remove skip decorators in tests/test_langchain.py to run them.

Update openapi spec

  1. Generate Fern Python SDK in langfuse and copy the files generated in generated/python into the langfuse/api folder in this repo.
  2. Execute the linter by running poetry run ruff format .
  3. Rebuild and deploy the package to PyPi.

Publish release

Releases are automated via GitHub Actions using PyPI Trusted Publishing (OIDC).

To create a release:

  1. Go to Actions > Release Python SDK
  2. Click "Run workflow"
  3. Select the version bump type:
    • patch - Bug fixes (1.0.0 → 1.0.1)
    • minor - New features (1.0.0 → 1.1.0)
    • major - Breaking changes (1.0.0 → 2.0.0)
    • prerelease - Pre-release versions (1.0.0 → 1.0.0a1)
  4. For pre-releases, select the type: alpha, beta, or rc
  5. Click "Run workflow"

The workflow will automatically:

  • Bump the version in pyproject.toml and langfuse/version.py
  • Build the package
  • Publish to PyPI
  • Create a git tag and GitHub release with auto-generated release notes

SDK Reference

Note: The generated SDK reference is currently work in progress.

The SDK reference is generated via pdoc. You need to have all extra dependencies installed to generate the reference.

poetry install --all-extras

To update the reference, run the following command:

poetry run pdoc -o docs/ --docformat google --logo "https://langfuse.com/langfuse_logo.svg" langfuse

To run the reference locally, you can use the following command:

poetry run pdoc --docformat google --logo "https://langfuse.com/langfuse_logo.svg" langfuse

Credits

Thanks to the PostHog team for the awesome work on posthog-python. This project is based on it as it was the best starting point to build an async Python SDK.