UsageLog now records input_tokens and output_tokens separately and costs
each side at its real rate. The old single 'blended' rate underpriced
input-heavy workloads (vision/QC) and overpriced output-heavy ones.
COST_PER_MILLION_TOKENS rebuilt against the live OpenAI, Gemini and
Anthropic pricing pages (GPT-5.4 family, GPT-4.x, o4-mini; Gemini 2.5
Pro/Flash/Flash-Lite + 1.5 legacy; Claude 4.7/4.6/4.5 + 3.x legacy).
Unknown models now warn instead of silently defaulting to $5/1M.
Adds idempotent ALTER TABLE migration on startup so existing SQLite DBs
pick up the new columns. Dashboard + API surface the input/output split.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- New UsageLog model tracking every LLM API call (provider, model,
tokens, estimated cost, user, module, check name)
- Instrument LLMConfig.call_vision_api() to auto-log each call
- New /usage tab in nav bar with dashboard showing:
- Summary cards (total calls, tokens, estimated cost)
- Breakdowns by provider, model, tool, and user
- Recent API calls table
- Time filters (All Time, 30 Days, 7 Days, Today)
- Cost estimates based on per-model token pricing
- Pass logged-in user through executor context for tracking
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
