Production Python Foundations for AI Services

Trace a generative-AI request through the client, application service, model provider, data stores, and response path.

Translate a user-facing AI feature into measurable functional and non-functional requirements.

Define validated request and response schemas with Python type hints and Pydantic.

Use asynchronous Python to execute independent model or data calls concurrently.

Build a FastAPI endpoint that validates input and returns a typed response.

Load environment-specific configuration without exposing secrets in source control.

Write isolated tests for an AI service by mocking model-provider responses.