v0.6.0

[0.6.0] - 2026-09-08

Added

• Agent self-improvement Quick Starts can now evaluate real target-AI responses through the selected model profile and retain response evidence as a run artifact.
• The runner SDK now provides a credential-safe target-AI completion helper for evaluation assets.
• The README includes a ten-second Quick Start guide, representative templates, and a response-level prompt-improvement example.

Changed

• The managed prompt sample is intentionally minimal so the response-evaluation Quick Start can demonstrate evidence-backed improvement from a real behavior gap.

Fixed

• Evaluation-run history totals now retain proposed and adopted improvements and reported issues from every supervisor iteration, rather than showing only the latest iteration.
• Evaluation-run translations now apply only to the active Supervisor AI iteration or currently filtered result records, with independent loading state for each view.