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v0.29.2 - prompt cache awareness

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@Audiofool934 Audiofool934 released this 20 Jun 10:10
· 7 commits to main since this release

Highlights

  • Improves API cost visibility by parsing provider prompt-cache usage, including DeepSeek cache hit/miss fields.
  • Adds a stable OpenAI prompt_cache_key and cache-friendly prompt layout while preserving current-turn recency.
  • Adds Target Context to every model evidence pack so the copilot model sees its read-only supervisor role, active scope, target session(s), and no-tools/no-injection boundary.

Verification

  • Local: uv run --extra tui python -m unittest discover (728 tests OK)
  • GitHub Actions: main tests, tag tests, and publish all passed