`headroom/transforms/text_compressor.py` was a regex-line-sampling
fallback that nothing in the runtime called. ContentRouter routes
`CompressionStrategy.TEXT` straight to the Kompress ML compressor at
`content_router.py:1046` — the comment there literally says 'Prefer
Kompress ML compressor for text'. The Python file was orphaned but
still imported by its own test class, making it look live in the 3e
queue.
Drops the 3e.3 port from the queue: there's nothing to port.
# Removed
* `headroom/transforms/text_compressor.py` (255 LOC, unused)
* `tests/test_text_compressors.py::TestTextCompressor` (3 tests)
* `text_compressor` mention in `error_detection.py` shim docstring
* `text_compressor` mention in `test_signals_keyword_parity.py` docstring
* `TextCompressor` mention in `bench_latency.py` scenario comment
# Kept (defensive)
The legacy marker regex in `ccr/tool_injection.py:213` stays — it
parses an even older TextCompressor output format (pre-2026), is
purely defensive, and removal buys nothing. Test references to that
format in `test_ccr_tool_injection.py` document the regex contract
and stay too.
# Test plan
* `make ci-precheck` clean
* `tests/test_text_compressors.py` 19 passes (was 22, dropped 3)
Sync the Anthropic cache stability test double with the prefix tracker contract used by the handler.
Format the benchmark scripts that were failing ruff format --check in CI.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
LLMLingua was the original ML text compressor (BERT-based). Kompress
(ModernBERT, trained on 330K structured tool outputs) replaced it with
better compression quality and simpler architecture.
Removed across 35 files:
- Deleted headroom/transforms/llmlingua_compressor.py
- Deleted tests/test_transforms/test_llmlingua_compressor.py
- Deleted tests/test_proxy_llmlingua.py
- Removed all enable_llmlingua config, _get_llmlingua methods,
LLMLingua fallback paths, LLMLINGUA strategy enum values
- Removed CLI flags, model configs, compression handler references
- Simplified ContentRouter: Kompress is primary and only text compressor
- headroom wrap claude is the simplest way to start up claude
- It will also install rtk-ai locally
- rtk-ai is a cli wrapper that can save ~90% tokens for CLI calls made by Claude Code
- Add quality_retention_eval.py for needle-in-haystack testing to verify
intelligent compression retains critical information (100% retention achieved)
- Add intelligent_context_integration_test.py for comprehensive pipeline testing
- Add test_progressive_summarizer.py with 36 tests for ProgressiveSummarizer
- Add HeadroomConfig parameter to HeadroomClient for direct config injection
- Update pipeline.py with IntelligentContextManager wiring and logging
- Fix all ruff linting issues and format for Python 3.12 compatibility
- Add comprehensive_eval.py benchmark for multi-scenario evaluation
- Add real_data_demo.py for production-scale volume testing
- Add reasoning agent test examples (groq, debug)
- Add detailed breakdowns by provider and model to /stats
- Include compression, telemetry, and feedback loop statistics
- Add latency.average_ms metric
- Add real-world agent benchmark with MCP tool patterns
- Add worst-case and adversarial benchmarks for edge cases
- Bump version to 0.2.12
