#fastapi

FastAPI in 2026: Building Production APIs with Python 3.14

A production blueprint for FastAPI on Python 3.14 scalable project structure, Pydantic request/response contracts, dependency injection, honest async, queues, testing, and deployment worker model.

Cover image for From stdio to the Web: Streamable HTTP and Mounting MCP in FastAPI

1 month ago 164

AI Python

From stdio to the Web: Streamable HTTP and Mounting MCP in FastAPI

Move your MCP server from stdio to the web: how Streamable HTTP sessions and SSE streams work, flipping the transport in FastMCP, and mounting the server inside a FastAPI app.

1 month ago 147

FastAPI

FastAPI Fundamentals: Routing, Pydantic Models, and Dependency Injection

Build real FastAPI endpoints: typed routing, Pydantic request and response models, dependency injection, and automatic docs.

1 month ago 88

FastAPI

FastAPI in Production: Settings, Auth, Middleware, and Project Structure

Harden a FastAPI app for production: typed settings with pydantic-settings, bearer auth, logging and CORS middleware, and a scalable project structure.

1 month ago 229

FastAPI

Streaming and Background Work in FastAPI: SSE and BackgroundTasks

Stream responses from FastAPI with server sent events, run side effects with BackgroundTasks, and know when to move to a real task queue.

1 month ago 142

FastAPI

Testing FastAPI the Right Way: pytest, the Test Client, and Validation

Test FastAPI with pytest and the test client: assert on validation, override dependencies to isolate from real services, and cover async and streaming code.

Cover image for Building a RAG Service with FastAPI: Chunking, Embeddings, and Vector Search

1 month ago 76

AI & LLM

Building a RAG Service with FastAPI: Chunking, Embeddings, and Vector Search

Build a RAG service end to end: chunk documents, embed and search by similarity, and answer grounded in retrieved context from a FastAPI endpoint.

Cover image for Streaming LLM Responses to the Browser with FastAPI and SSE

1 month ago 100

AI & LLM

Streaming LLM Responses to the Browser with FastAPI and SSE

Stream a real model response to the browser: consume the model stream in Python, forward it through a FastAPI SSE endpoint, and render it live.

Cover image for Building an AI Agent API: Tool Calls, Memory, and Guardrails

1 month ago 84

AI & LLM

Building an AI Agent API: Tool Calls, Memory, and Guardrails

Build a small AI agent API: the tool calling loop, conversation memory, and the guardrails that keep an action taking agent safe and bounded.