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Multi-Provider AI Router — Docker & CI Automation
I built a Python API that routes requests across configured AI providers, records routing diagnostics, and falls back to a local mock response when remote providers are unavailable.
What I implemented
Containerized the FastAPI application with Docker.
Added health-check verification.
Implemented provider-routing diagnostics and mock fallback handling.
Added automated tests for routing behavior, circuit-breaker recovery, and API errors.
Configured GitHub Actions to run tests and application checks automatically.
Validation
Docker image built and the container started successfully.
The /health endpoint returned online.
The mock fallback returned a response with routing diagnostics.
Eight automated tests passed locally, and GitHub Actions CI passed.
Scope and limitations: The mock fallback is not generated model output. Groq was tested previously; live Cerebras connectivity has not been verified. Streaming and per-request model selection are not implemented.
This project demonstrates my practical work with Python APIs, Docker, automated testing, and CI workflows.
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