Getting Help

Documentation

• Installation - Setup guide
• Quick Start - First project walkthrough
• Architecture - Project structure and patterns
• AI Agents - AI framework configuration
• Deployment - Production deployment guides

GitHub

• Issues - Report bugs or request features
• Discussions - Ask questions and share ideas
• Pull Requests - Contribute to the project

FAQ

Which AI framework should I choose?

Use Case	Recommended
Type-safe agents with Pydantic	PydanticAI
Complex workflows and chains	LangChain
Stateful agent workflows	LangGraph

Which database should I use?

The template uses PostgreSQL (async, SQLAlchemy 2.0 + Alembic) as its single supported database — it covers relational data, complex queries, and doubles as a pgvector RAG store. Pass --database none only for a stateless service that needs no auth, RAG, or teams.

How do I add authentication?

Choose during project generation:

Bash

fastapi-fullstack create my_app --auth jwt     # JWT tokens
fastapi-fullstack create my_app --auth api_key # API keys
fastapi-fullstack create my_app --auth both    # Both methods

How do I deploy to production?

Generated projects include:

• Dockerfile for containerization
• docker-compose.yml for local development
• Optional Kubernetes manifests
• GitHub Actions / GitLab CI pipelines

See Deployment Guide for details.

Related Projects

• pydantic-deep - Deep agent framework with planning and subagents
• pydantic-ai - The foundation for PydanticAI agents
• FastAPI - The web framework powering the backend