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AI Agent Reliability Toolkit v1.0.1
A small maintenance release focused on reliability correctness, repository polish, and developer discoverability.
Fixed
- Regex failure classification — regex mismatches and invalid regular expressions are now classified as
OUTPUT_MISMATCHinstead of falling through toUNKNOWN. - Added regression tests covering regex mismatch and invalid-regex failure classification.
Improved
- Clearer README positioning and quick-start experience
- Added common AI agent reliability use cases
- Improved GitHub and package search discoverability
- Added Python package keywords, classifiers, and project URLs
- Added pull request guidance
- Improved issue routing to GitHub Discussions
- Added a security policy
- Improved repository topics and release documentation
- Polished the dashboard and onboarding experience
Release focus
This is intentionally a small post-v1.0 maintenance release.
No major new product surface, cloud infrastructure, authentication, billing, or unnecessary dependencies were added.
The priority remains simple:
Test AI agents repeatedly. Find intermittent failures. Catch regressions before production.