Ship token spend, latency and equivalent cost for every review to the
self-hosted Langfuse so per-model behaviour is queryable as a trend rather
than one PR comment at a time.
langfuse_trace.py is stdlib-only and emits via the public ingestion API.
Traces split into `ollama` and `claude` environments keyed off the bare model
name, not the provider: both paths go through the same headroom proxy, so the
provider prefix says nothing about which spend story a review belongs to. The
pilot's own path bills $0, so the reported cost is the equivalent price from
cost_model.PRICES.
ai_review.py calls _emit_langfuse on both token-spending exit paths (the
normal post and the salvage path). Import and emission are wrapped in a
blanket except: with no LANGFUSE_HOST or key pair the whole thing is a silent
no-op, and a telemetry failure must never fail a review.
These files were previously deployed only by way of the image build's
`COPY . /app`, so a clean checkout would have silently dropped tracing.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude
92283c44e8