Make the Docker wrap e2e harness validate live proxy env wiring for Codex and Aider, start a real OpenClaw gateway in-container, and clear the repo-wide Ruff issues that were keeping the Python 3.12 CI job red.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Root cause: CompressionCache.compute_frozen_count() stopped at the first
tool_result not in its cache, capping frozen_message_count at 2. Tool
results excluded by content_router (Read/Glob) or skipped (ratio too
high) never entered the cache, so every subsequent message was eligible
for recompression — causing 192 cache busts per session.
Four fixes:
1. Add _stable_hashes set to CompressionCache so excluded/skipped
tool_results don't block the frozen count walk
2. Fix _estimate_message_tokens to count tool_result content and
tool_use input fields (were counted as 0 tokens in Anthropic format)
3. Fix streaming handler to include assistant response and
original_messages in prefix tracker updates (parity with non-streaming)
4. TTL-aware batch recompression: defer first-time compressions within
the 5-min cache TTL window, batching them at the boundary to trade
many small busts for one
Add three methods and supporting helpers for token headroom mode:
- compute_frozen_count: counts consecutive stable messages from start
- apply_cached: swaps cached compressions into tool results (immutable)
- update_from_result: learns new compressions from original/compressed pairs
Supports both Anthropic and OpenAI tool result formats.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
