Latency was dominated by the LLM call chain, not the 10-message context window.
Three fixes land together in the chat pipeline in bot.py:
1. Stream the main LLM call (new _stream_chat_completion helper) and
progressively edit the Matrix message via m.replace. Suppress visible
streaming during tool-calling iterations so the user never sees rolled-back
text. Final send is an authoritative edit that guarantees the full reply.
2. Gate _rewrite_query behind a pronoun/deictic heuristic (EN/DE/FR). When a
message has no references needing resolution we skip the extra Haiku
round-trip entirely and feed the original message to RAG directly.
3. Fire-and-forget the post-reply memory + chunk persistence with asyncio
background tasks so a slow extraction no longer blocks the next inbound
message. 20s timeout preserved inside the bg task; exceptions logged.
Added unit test for the pronoun heuristic (EN/DE/FR positive + negative cases,
short/empty messages).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
