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9f5c13f874
Adds scripts/compression_eval/ with a design doc, README, a placeholder run_eval.py, and three checked-in scrubbed session fixtures. No working eval yet — PR is for design review before implementation. Motivation: we edit agent/context_compressor.py prompts and _template_sections by hand and ship without any automated check that compression still preserves file paths, error codes, or the active task. Factory.ai's Dec 2025 write-up (https://factory.ai/news/evaluating-compression) documents a probe-based eval scored on six dimensions. We adopt the methodology; we do not publish scores. Contents: - DESIGN.md — fixture format, probe format (recall / artifact / continuation / decision), six grading dimensions, report format, cost expectations, scrubber pipeline, open questions, and staged follow-up PR plan. - README.md — short 'what this is / when to run it' page. - run_eval.py — placeholder that prints 'not implemented, see DESIGN.md' and exits 1. - scrub_fixtures.py — reproducible pipeline that converts real sessions from ~/.hermes/sessions/*.jsonl into public-safe JSON fixtures. Applies: redact_sensitive_text, username path normalization, personal handle scrubbing, email and git-author normalization, reasoning scratchpad / <think> stripping, platform user-mention scrubbing, first-user paraphrase, system-prompt placeholder, orphan-message pruning, and tool-output size truncation for fixture readability. - fixtures/feature-impl-context-priority.json — 75 msgs / ~17k tokens. Investigate → patch → test → PR → merge. - fixtures/debug-session-feishu-id-model.json — 59 msgs / ~13k tokens. PR triage + upstream docs + decision. - fixtures/config-build-competitive-scouts.json — 61 msgs / ~23k tokens. Iterative config accumulation (11 cron jobs across 7 weekdays). PII audit: zero matches across the three fixtures for the maintainer's handle (all case variants), personal email domains, and known contributor emails. Only 'contributor@example.com' placeholder remains. Why scripts/: requires API credentials, costs ~\$1 per run, LLM-graded (non-deterministic), must not run in CI. scripts/sample_and_compress.py is the existing precedent for offline credentialed tooling. |
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