page:recipes:ai chat application:fastapi:response streaming

Host AI Chat Application with FastAPI: Streamed Responses

Deploy an AI chat application built with FastAPI on Ample using the streaming response service pattern. Compute runs the app in an isolated microVM behind a public HTTPS URL, a managed PostgreSQL 16 database is auto-provisioned and injected as DATABASE_URL. Verified on FastAPI: a Server-Sent Events endpoint read incrementally through the public HTTPS gateway: five one-second chunks arrived spread over time with the first within seconds (not buffered), a 70-second stream of 36 chunks completed past common 60-second idle timeouts, and a client that disconnected after two chunks was observed and recorded by the server (disconnected=true).

Summary

Representative Queries

Workflow Steps

  1. Build and Start
    Install using: pip install into .ample/python from requirements.txt, then run with uvicorn from run.py reading PORT on the python-3.12 template. The server must bind 0.0.0.0 on PORT.

  2. Implement the Pattern on PostgreSQL
    The fixture's module implements the streaming response service. Keep migrations idempotent and run them with --release-command.

  3. Deploy
    Run the synchronous deploy once. For deployment, use:

    ample deploy . --name <APP_NAME> --public --start "python3 run.py"
    
  4. Verify
    Fetch the live URL and check the self-test route(s) to confirm functionality.

Prerequisites

Tested Configuration

Success Checks

Limitations

Cost Estimate

Evidence Summary

Next Actions