- llm.py: log each Ollama call's caller + total/load/prompt/gen durations
so a slow voice turn is attributable to a specific internal call
(router/enrichment/digest/main); a RELOAD marker flags cold reloads.
- voice.ts: track in-flight Opus captures and abort them on session
destroy(); drop any utterance that finishes after the user left, so no
trailing post-leave VAD turns are reported.
- userbot.ts: show the speaker's Discord user ID on each transcript line
(answered and dropped) so it's clear whose audio produced the turn.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
The transcript channel only showed STT and LLM seconds. Add wall-clock
start/end times and durations for listening, LLM and TTS so it's obvious
what takes long; STT surfaces as the gap between listening end and LLM start.
- bridge: emit llm_start_ms/llm_end_ms on meta and tts_*_ms on the end event
- bot: capture the listening window, assemble full timing after the stream,
and render a per-stage breakdown in the transcript message
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
