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Governance

LitServe is an open source project backed by Lightning AI, released under the Apache-2.0 license.

Roles and responsibilities

Maintainers review and merge contributions, triage issues, guide technical direction, and cut releases. The current maintainers are listed in .github/CODEOWNERS, where ownership is scoped by path.

Contributors are anyone contributing code, tests, docs, triage, or review. See CONTRIBUTING.md to get started.

Retired committers are past maintainers, recorded in .github/CODEOWNERS and not requested for review.

Maintainers are invited on the strength of sustained contribution, with the agreement of the current maintainers. A maintainer may step down, or be moved to retired status after a long period of inactivity, by a pull request updating .github/CODEOWNERS.

Decision making

Changes land through pull requests against main; direct pushes are not used. A pull request needs passing CI and approval from a maintainer who owns the affected paths. Larger changes — new public APIs, breaking changes, new dependencies — should start as an issue. Maintainers work by consensus and resolve disagreements in the open.

Communication

GitHub issues and pull requests are the source of truth for decisions. Discussion also happens on Discord, but anything affecting the project is recorded on GitHub.

Releases

LitServe follows MAJOR.MINOR.PATCH versioning, with the version in src/litserve/__about__.py.

  • Cadence: cut as needed rather than on a fixed calendar, once a meaningful set of fixes or features has landed on main. Regressions and security fixes ship as soon as they are ready.
  • Criteria: main green across the CI matrix in .github/workflows, plus the multi-GPU pipeline.
  • Process: a maintainer bumps the version and publishes a GitHub Release; release-pypi.yml publishes to PyPI via trusted publishing.
  • Supported versions: Python and PyTorch versions are declared in pyproject.toml and the CI matrix. LitServe is validated against the latest two PyTorch releases; torch is not a runtime dependency.

Code of Conduct

All participants follow the Code of Conduct. Reports go to community@lightning.ai.

Changing this document

By pull request, with approval from at least two maintainers.