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## Description `DynamicContentDetector` / `RegexDetector` in `headroom/cache/dynamic_detector.py` (used by the `cache_aligner` transform) misclassified ordinary English words and code identifiers (e.g. `in_pr`) as "dynamic content," extracting them from the system prompt and re-appending a `[Dynamic Context]` tail that grows unboundedly and corrupts the cached prompt over a session. Fix tightens detection to require genuinely-dynamic shapes (timestamps, UUIDs, hashes, numbers-with-units, ISO dates) rather than bare tokens — no hardcoded wordlist — and bounds the tail. `cache_aligner` is off by default, so blast radius is limited, but the detector logic is now correct. Closes #2110 ## Type of Change - [x] Bug fix (non-breaking change that fixes an issue) ## Changes Made - `headroom/cache/dynamic_detector.py`: raise the evidence bar so ordinary words/identifiers aren't extracted; bound the dynamic tail. - `tests/test_cache/test_dynamic_detector.py`: assert false positives (ordinary words/identifiers) are NOT extracted while real dynamic values still are. ## Testing - [x] Unit tests pass (`pytest tests/test_cache/test_dynamic_detector.py`) - [x] Linting passes (`ruff check`) ### Test Output ```text 55 passed, 2 skipped ruff: All checks passed! ``` ## Real Behavior Proof - Before: identifiers like `in_pr` extracted into a growing `[Dynamic Context]` tail, corrupting cached prompts. - After: ordinary tokens stay in place; only genuinely-dynamic values are detected. |
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| .. | ||
| __init__.py | ||
| test_anthropic.py | ||
| test_backends.py | ||
| test_base.py | ||
| test_client_integration.py | ||
| test_dynamic_detector.py | ||
| test_google.py | ||
| test_openai.py | ||
| test_prefix_tracker.py | ||
| test_registry.py | ||
| test_semantic.py | ||