Updates across multiple docs to reflect the new message-level compression
with TOIN + CCR integration:
- docs/ccr.md: Add CCR-enabled components table, message-level CCR section
- docs/ARCHITECTURE.md: Expand Transform 6 with TOIN + CCR integration details
- docs/configuration.md: Add CCR integration config and marker format
- docs/proxy.md: Add CCR integration note for context management
- docs/README.md: Update to reference IntelligentContextManager as default
Also adds examples/test_intelligent_context_toin_ccr.py for scale testing
the TOIN + CCR integration with real API calls.
Integrate Microsoft's LLMLingua-2 ML-based compression as an opt-in
feature for the proxy server, with excellent developer experience.
Features:
- New CLI flags: --llmlingua, --llmlingua-device, --llmlingua-rate
- ProxyConfig options: llmlingua_enabled, llmlingua_device, llmlingua_target_rate
- Smart startup hints when llmlingua is available but not enabled
- Helpful error messages when enabled but not installed
- LLMLinguaCompressor inserted before RollingWindow in pipeline
Why opt-in:
- Heavy dependencies (~2GB torch, transformers)
- 10-30s cold start for model loading
- ~1GB RAM when loaded
- Default proxy stays lightweight (<5ms overhead)
Tests:
- 26 new tests in test_proxy_llmlingua.py covering config, setup,
banner status, CLI args, DevEx messages, and edge cases
Documentation:
- Updated README.md with proxy integration section
- Updated docs/proxy.md with LLMLingua CLI options
- Updated docs/transforms.md with LLMLinguaCompressor reference
- Updated docs/ARCHITECTURE.md with pipeline and file structure
- Updated CHANGELOG.md with new feature
