Deploy Your AI App to Production
Wrap a Claude-powered feature in a production-shaped FastAPI service — async client, timeouts, streaming, structured logging, health checks — and containerize it with a multi-stage Docker build.
Prerequisites: Python, basic familiarity with HTTP APIs, Docker installed locally, an Anthropic API key.
Calling the Claude API from a script is straightforward; calling it reliably from a service handling real user traffic requires a few more pieces: an async client so one slow request doesn't block others, explicit timeouts so a hung request doesn't hang forever, streaming so users see output as it's generated rather than waiting for the whole response, and basic observability so you know what's happening when something goes wrong.
You'll build this with FastAPI (Python's standard modern choice for async APIs, with automatic OpenAPI docs) and the Anthropic Python SDK's async client, then containerize the result with a multi-stage Docker build for a small, reproducible production image.
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