Show HN: Open-source proxy to track Claude API costs by team(github.com)
github.com
Show HN: Open-source proxy to track Claude API costs by team
https://github.com/reshevyas-png/claude-usage-analytics
2 comments
Nice work on the observability side. We built something complementary - NadirClaw routes requests across multiple providers based on cost/performance tradeoffs. Your Prism setup shows which departments are spending, then a routing layer like NadirClaw can cut that spend 40-70% by sending simple prompts to cheaper models when appropriate. The two would work well together - tracking + optimization.
(Disclosure: I'm the author of NadirClaw - https://github.com/doramirdor/NadirClaw)
(Disclosure: I'm the author of NadirClaw - https://github.com/doramirdor/NadirClaw)
Prism is a FastAPI proxy that sits between your app and Anthropic's API. You swap out base_url and everything else stays the same. Every request gets logged: model, token counts, calculated cost, latency, status code, and department. A React dashboard breaks it all down.
Your App ──> Prism Proxy (FastAPI) ──> Anthropic API | v PostgreSQL (logs) ──> React Dashboard Setup is one command: docker compose up --build
Run python seed.py for 5,700 realistic requests across 6 departments over 90 days if you want to see the dashboard immediately.
Key details: streaming SSE pass-through with <10ms overhead, API keys encrypted at rest (Fernet/AES-256), JWT auth, department color coding. Stack is Python 3.12, PostgreSQL 16, React 19, TypeScript, Tailwind v4.
Roadmap: Slack/email alerts on budget thresholds, per-user attribution, multi-provider support (OpenAI, Google).
Apache 2.0 licensed. Would appreciate feedback — especially from anyone managing LLM spend across teams. What's missing? What would make this actually useful for your org?