One funded account (OpenAI) now covers extraction, embeddings, summaries,
the ambiguous-scene correlation call and transcript correction; Groq stays
optional for STT. New app/internal/llm.py picks the provider from the model
name, so setting either model back to a gemini-* ID needs no code change.
Usage accounting for replay runs now covers both providers.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A day of replay runs (server-26#170) spent ~$5 of Gemini on ~7 two-hour
windows (~$0.70 per 290 calls) — several dollars a day per live deployment
for correlation alone — and nothing could say where it went (#45). Gemini
3.x thinks by default and bills it as output; the deprecated
google-generativeai SDK these calls used cannot set a thinking level.
- app/internal/gemini.py: every Gemini call (correlation + transcript
correction) goes through google-genai with JSON mode, an explicit
thinking level, and logs in/out/thinking tokens. A model that rejects
the level is retried without it once and remembered, so the tier is
never lost to a config param. API failures still raise for ai_health.
- correlator: thinking_level "minimal" (a link/new/orphan choice).
transcript correction: "low" until a replay shows minimal is safe.
- replay: runs record real Gemini token usage (metrics.gemini_usage),
shown in the Replay tab.
- requirements: google-genai.
c2-core: 474 pass. Frontend typecheck not run (no Node on this box).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Logan CusanoandClaude Opus 5.5