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 |
| Multi-agent collaboration | CrewAI |
Which database should I use?¶
| Use Case | Recommended |
|---|---|
| Relational data, complex queries | PostgreSQL |
| Document storage, flexible schema | MongoDB |
| Simple apps, local development | SQLite |
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:
Dockerfilefor containerizationdocker-compose.ymlfor 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