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production-fast-api-template

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Structure and execution rules for a unified, production-ready backend combining domain-oriented FastAPI, Retrieval-Augmented Generation (RAG) and Agentic AI in one codebase on AWS ECS Fargate. Use when scaffolding a new backend; adding a module, API domain, RAG component, agent, tool, workflow, LLM/provider integration or test; deciding where a file belongs; writing async/sync routes, services or clients; offloading blocking or CPU-heavy work (thread pools, process pools, AWS Lambda); designing background jobs, queues (SQS, Celery), workers and scaling; or writing Pydantic schemas, settings (pydantic-settings), serialization, structured LLM outputs, citation validation, agent plans or tool-call arguments; or writing FastAPI dependencies (request validation, auth, access scopes, chaining), REST paths, response models, OpenAPI docs, error responses, database naming and SQL queries, migrations, API tests (async client, dependency overrides) or lint/format setup (ruff); or adding content-…

When to use

• scaffolding a new backend
• adding a module, API domain, RAG component, agent, tool, workflow, LLM/provider integration or test
• deciding where a file belongs
• writing async/sync routes, services or clients
• offloading blocking or CPU-heavy work
• designing background jobs, queues, workers and scaling
• writing Pydantic schemas, settings, serialization, structured LLM outputs, citation validation, agent plans or tool-call arguments
• writing FastAPI dependencies, REST paths, response models, OpenAPI docs, error responses, database naming and SQL queries, migrations, API tests or lint/format setup

When not to use

• choosing agent frameworks
• choosing LLM providers
• choosing models
• choosing vector stores
• choosing a queue implementation

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