FastAPI
FastAPI is a Python web framework for building APIs, with type-annotation-based request handling, validation, and automatic OpenAPI documentation.
Build Financial Software with Generative AI (From Scratch)
FastAPI is a Python web framework for building application programming interfaces with automatic validation and documentation.
- How it is used
- Builds RESTful application APIs for ACH processing and dashboard functions.
- How deep it goes
- Demonstrates Docker setup, router wiring, stubs, pagination, asynchronous processing, and OpenAPI documentation; defers deeper backend investigation.
- Examples
- Uses a health check, hardcoded GET endpoints, file routers, ACH uploads, record paging, and dashboard operations.
- What you can do after
- Builds application APIs incrementally with routers, generated documentation, and designs for large-result and file-processing workflows.
Read how Build Financial Software with Generative AI (From Scratch) explains FastAPI →
LLMs in Production
FastAPI is a Python web framework for building HTTP APIs with type-based request validation and automatic interface documentation.
- How it is used
- Deploys machine-learning models behind customizable HTTP APIs when more automated serving frameworks do not provide enough flexibility.
- How deep it goes
- Demonstrates a local model-serving endpoint and discusses production integration, but does not develop FastAPI internals.
- Examples
- Uses a DeciCoder endpoint, Python server, stop tokens, and a curl request generating a Hello World function.
- What you can do after
- Operate a local model API by running a Python server and calling its generation endpoint with curl.
Domain-Specific Small Language Models
A Python web framework for building APIs with automatic documentation, asynchronous request handling, and data validation support.
- How it is used
- Deploys Python APIs, microservices, and machine-learning inference endpoints behind HTTP routes.
- How deep it goes
- Explains application setup, routes, validation, asynchronous inference, server startup, and generated documentation without descending into framework internals.
- Examples
- Uses root and POST routes, validated generation requests, GPT-2 inference, interactive documentation, and a Docker deployment.
- What you can do after
- Build a validated asynchronous inference API and expose it locally or in a container with generated documentation.
Read how Domain-Specific Small Language Models explains FastAPI →
Road to Kubernetes
FastAPI is a Python web framework for building APIs.
- How it is used
- Builds simple Python web applications and REST APIs that handle request/response cycles.
- How deep it goes
- Explains setup, application structure, JSON responses, route handlers, and development serving, but defers production deployment details.
- Examples
- Demonstrates a Hello World endpoint, a versioned hello-world route, and Uvicorn running on port 8011.
- What you can do after
- Build it from scratch by creating a FastAPI application, adding route handlers, returning JSON, and running it with Uvicorn.
AI Agents in Action, Second Edition
FastAPI is a Python web framework for building APIs with type-based request validation and automatic interface documentation.
- How it is used
- Wraps an agent in a callable HTTP service that accepts messages and returns a simple payload.
- How deep it goes
- Demonstrates typed input, asynchronous POST handling, binary responses, launch commands, and missing-output errors.
- Examples
- Uses an image-generator endpoint, curl and PowerShell requests, saved PNG files, and Dockerized service runs.
- What you can do after
- Operate/configure a FastAPI agent service, call its POST endpoint, verify image output, and run it in Docker.
Read how AI Agents in Action, Second Edition explains FastAPI →
Related concepts
- frameworkkind of · A software framework is a reusable structure that provides components, conventions, services, or extension points for building applications or other software systems.
- Pythonuses · Python is a high-level, general-purpose, dynamically typed programming language known for readable syntax and automatic memory management.
- Pydanticuses · Pydantic is a Python library for defining typed data models and schemas, validating and parsing data against them, and serializing validated values.
- contractuses · An API contract is a specification of the operations, data, and behavioral expectations that govern interactions between software components.
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