pr-sage AI Review

Version updated for https://github.com/Kyeom1997/pr-sage to version v0.8.0.

  • This action is used across all versions by 0 repositories.

Action Type

This is a Composite action.

Go to the GitHub Marketplace to find the latest changes.

Action Summary

pr-sage is an AI-powered pull request reviewer designed to minimize noise and follow team conventions. It reviews only the most recent changes since the last review, uses fingerprinting to eliminate duplicate comments, and can enforce severity levels and quality gates in PRs. The action supports multiple providers (Anthropic, OpenAI, Gemini) and can be used locally for pre-push reviews without needing a GitHub token.

What’s Changed

Review safety, onboarding, and operations improvements.

Highlights

  • Finding lifecycle — follow-up reviews report which earlier findings were fixed and which remain unresolved
  • Coverage honesty — every summary reports what was actually reviewed; partial reviews never auto-approve, and --fail-on-incomplete turns incomplete coverage into a CI failure
  • Verification controls — --verify-provider / --verify-model to cross-check findings with a different model, --verify-failure abort|keep|drop
  • pr-sage doctor — diagnose config, keys, and workflow wiring in one command
  • GitHub Check Run annotations (--check-run)
  • Hardened generated workflow — config loaded from the trusted base commit, concurrency cancellation, self-hosted runner + openai-base-url support for fully local reviews
  • Scheduled benchmark workflow

Since v0.5.0 (v0.6.0)

pr-sage init 30-second setup wizard, draft/WIP/skip-label skip rules, maxTokensPerRun cost guard, monorepo paths scoping, locale: auto detection, README demo GIF.

npx pr-sage init   # 30-second setup