ConstraintLoop v0.1.0 is the first public alpha release of evidence-based completion gates for AI coding agents.
Highlights:
- deterministic command, metric, and artifact constraints with content-bound evidence
- optional OpenAI, Anthropic, Codex, Claude Code, and command rubric evaluators
- Claude Code, Codex, and Gemini CLI lifecycle hooks
- bounded convergence loops with persistent budgets, leases, journals, and stable transitions
- snapshot-bound advisory acknowledgments and deterministic local waivers that CI ignores
- Python 3.11–3.14 support on Linux and macOS
- Trusted PyPI publishing with build attestations
See CHANGELOG.md for the complete initial release contents.