Michael Neale b7854820b1 Port headroom compression library into goose crate
Full faithful port of the headroom library from chopratejas/headroom:
- adaptive_sizer: Kneedle saturation detection for optimal compression budgets
- signals: Keyword-based line importance detection (tiered, keyword_detector, line_importance)
- transforms:
  - content_detector: Regex-based content type detection (JSON, logs, diffs, search, code, HTML)
  - detection: Content detection chain (regex detector + unidiff fallback)
  - log_compressor: Build/test log compression with format detection & deduplication
  - search_compressor: Grep/ripgrep output compression with per-file capping
  - diff_compressor: Unified diff compression with hunks/changes selection
  - tag_protector: HTML tag protection/restoration during compression
  - anchor_selector: JSON array anchor selection for structured data compression
  - safety: Tool call pair atomicity for LLM conversations
  - unidiff_detector: Parser-based unified diff detection
- supporting: CCR (compress-cache-retrieve) store, tokenizer stubs, SmartCrusher stub

All 209 headroom tests pass
No regressions in existing goose tests
Passes cargo fmt and clippy checks
Ready for integration with goose compression pipeline
2026-06-21 09:33:27 +10:00
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2026-06-18 17:54:45 +00:00
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2026-05-22 16:24:47 +00:00

🦆 goose has moved! This project has moved from block/goose to the Agentic AI Foundation (AAIF) at the Linux Foundation. Some links and references are still being updated — please bear with us during the transition.

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