Fetching metadata from the HF Docker repository...
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feat: Vision Import (multimodal Gemini), autonomous watcher, GitHub agent actions
- Vision Import: upload any billing screenshot → Gemini reads spend → agent
investigates connected GitHub repo → opens fix PR automatically
- Autonomous watcher: background loop detects anomalies, runs Gemini agent,
creates GitHub issues, enforces rate limits, ships remediation PRs
- GitHub action tools: fetch_pr_diff, fetch_file, open_fix_pr, list_recent_prs
- Real Anthropic reverse proxy with token/cost capture
- Provider-neutral ingest endpoint for external call recording
- Traffic generator for demo scenario seeding
- Demo app + scripts for reproducible demo scenario
- Cloud Run entrypoint with $PORT support and AUTONOMOUS flag
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scaffold: cobra CLI skeleton, package layout, project thesis
Initial scaffolding for llmtrace — self-hosted LLM proxy with cost ledger
and deploy-to-spend causal attribution. Same architectural pattern as
costtrace (anomaly detection + GitHub Actions deploy correlation +
lineage scoring) applied to LLM provider APIs instead of AWS spend.
CLI commands stubbed: serve, keys, stats, tail, anomalies, analyze,
explain, report. All return notImplemented errors — real work begins
week 1 (proxy + Anthropic provider + ledger).
See CLAUDE.md (gitignored) for the 3-week MVP scope and differentiation
vs Helicone/Portkey/LiteLLM/Langfuse.
