koko210Serve
e1f81e52e5
Three interrelated fixes for speaker attribution confusion: 1. Fix misleading episodic memory header (discord_bridge.py): The Cat core hardcodes '## Context of things the Human said in the past:' when formatting recalled conversations. Our plugins store BOTH user messages ([User]: prefix) AND Miku's own responses ([Miku]: prefix) in episodic memory. This misleading header primes the LLM to attribute Miku's words to the user. Replaced with '## Past conversation excerpts (prefixed by who said what):' which accurately describes the mixed-speaker content. 2. Tighten episodic recall (discord_bridge.py): Added before_cat_recalls_episodic_memories hook setting threshold=0.75 (vs default 0.7) to reduce the chance of Miku's own just-uttered response being recalled on the very next user message, which would feed her own words back as misleading context. 3. Add role clarification (miku_personality.py & evil_miku_personality.py): Added a clarifying note after '# Conversation until now:' in the prompt suffix to explicitly tell the model that 'Human = the user, AI = you (Miku)', helping it reconcile the two labeling systems (episodic [User]/[Miku] prefixes vs conversation history Human/AI roles).