Learn about FastLaunchAPI - a production-ready backend solution with authentication, payments, and modern tooling

FastLaunchAPI Premium

A production-ready FastAPI backend template that eliminates weeks of boilerplate setup. Built with modern Python practices, async SQLAlchemy 2.0, and designed for startups, MVPs, and enterprise applications that need to move fast without compromising on code quality or security.

Why This Template?

Building a production-ready API from scratch is time-consuming and error-prone. This template provides a solid foundation with all the essential components you need:

Save Development Time: Skip the tedious setup and focus on building your unique features
Production-Ready: Built with best practices, security, and scalability in mind
Modern Stack: Async SQLAlchemy 2.0, OAuth2, uv package manager, background tasks with proper session management
Comprehensive: Authentication with OAuth, payments, AI integration, and more
Easy to Extend: Dynamic OAuth providers, modular architecture, clean separation of concerns

Key Difference from Other Templates: This template uses async SQLAlchemy 2.0 throughout with proper dual session management for Celery tasks. No mixing async/sync patterns incorrectly!

What's Included

🔐 Authentication System

JWT authentication with OAuth2 (Google+), dynamic provider support, email verification, password reset, and session management

💳 Payment Processing

Stripe integration with webhooks, subscriptions, one-time payments, and customer management

📧 Email Infrastructure

SendGrid integration with HTML templates, async email sending via Celery, and transactional support

🗄️ Database Management

Async SQLAlchemy 2.0 with asyncpg, Alembic migrations, dual session support (async/sync), and connection pooling

⚡ Background Tasks

Celery integration with Redis broker, Celery Beat scheduler, proper sync session management, and Flower monitoring

🤖 AI Integrations

OpenAI and Groq integration with LangChain. Build AI-powered features with proper async handling.

🧪 Testing Setup

Comprehensive pytest setup with fixtures, database isolation, and test coverage without unnecessary complexity.

🐳 Docker Setup

Complete Docker Compose with PostgreSQL, Redis, Celery workers, Beat scheduler, pgAdmin, and Flower monitoring

Architecture Overview

The template follows a clean, modular architecture designed for scalability:

fastlaunchapi-premium/
├── backend/
│   ├── app/
│   │   ├── routers/          # API endpoints organized by feature
│   │   │   ├── auth/         # Authentication & OAuth (auth.py, oauth_providers.py)
│   │   │   ├── payments/     # Stripe integration (payments.py, webhooks)
│   │   │   └── core/         # Core system routes (health, middleware)
│   │   ├── db/               # Database setup (async & sync sessions)
│   │   ├── email/            # SendGrid templates and sending logic
│   │   └── config/           # Settings with Pydantic validation
│   ├── alembic/              # Database migrations (Alembic)
│   ├── celery_setup.py       # Celery configuration & Beat schedule
│   ├── pyproject.toml        # Dependencies managed by uv
│   ├── uv.lock               # Locked dependencies
│   └── main.py               # FastAPI application entry point
├── docker-compose.yaml       # All services (PostgreSQL, Redis, Celery, etc.)
└── Dockerfile               # Application container with uv

Key Design Principles

Async-First Architecture: Built with async SQLAlchemy 2.0 and asyncpg for high-performance database operations
Dual Session Support: Async sessions (AsyncSessionLocal) for FastAPI endpoints, sync sessions (SyncSessionLocal) for Celery tasks
Modern Package Management: uv for 10-100x faster dependency installation and management
Modular Structure: Each feature is self-contained with its own routes, models, services, and background tasks
Dynamic OAuth Providers: Automatic provider detection and credential injection from environment variables - no hardcoded redirect URIs
Modern SQLAlchemy: Using 2.0 syntax with select(), execute(), update(), delete() throughout
Configuration-Driven: Centralized Pydantic settings with environment-based configuration and validation
Background Processing: Celery with Redis for heavy tasks, proper sync session management in tasks
Test-Ready: Comprehensive pytest setup with fixtures, database isolation, and async test support
Docker-First: Complete Docker Compose setup for local development and production deployment

Technology Stack

This template uses modern, production-proven technologies:

Core Framework

FastAPI - High-performance async web framework
Uvicorn - ASGI server with WebSocket support
Pydantic 2.x - Data validation and settings management
uv - Ultra-fast Python package manager (10-100x faster than pip)

Database & ORM

PostgreSQL - Production database
SQLAlchemy 2.0 - Async ORM with modern syntax
asyncpg - High-performance async PostgreSQL driver
psycopg2-binary - Sync PostgreSQL driver for Celery tasks
Alembic - Database migration tool

Authentication & Security

Authlib - OAuth2 client implementation
python-jose - JWT token handling
passlib[bcrypt] - Password hashing
Session Middleware - OAuth state management

Background Processing

Celery - Distributed task queue
Celery Beat - Scheduled task scheduler
Redis - Message broker and result backend
Flower - Celery monitoring web UI

Integrations

Stripe - Payment processing with webhooks
SendGrid - Transactional email service
OpenAI - AI/LLM integration
Groq - Fast LLM inference
LangChain - LLM orchestration framework

Development & Testing

Pytest - Testing framework with async support
Black - Code formatter
Ruff - Fast Python linter
Mypy - Static type checker
Docker & Docker Compose - Containerization
pgAdmin - PostgreSQL management UI

Key Features Explained

Modern Package Management with uv

The template uses uv for dependency management:

10-100x faster than pip for package installation
pyproject.toml - Modern Python project configuration
uv.lock - Reproducible builds across environments
Simple commands: uv add package, uv run pytest, uv sync

Async SQLAlchemy 2.0

The template uses the latest SQLAlchemy with full async support:

FastAPI endpoints: Use AsyncSessionLocal with await for database operations
Celery tasks: Use SyncSessionLocal without await for background processing
Modern syntax: All queries use select(), execute(), update(), delete()

Dynamic OAuth System

Adding OAuth providers is simple:

Add {PROVIDER}_CLIENT_ID and {PROVIDER}_CLIENT_SECRET to .env
Register provider in oauth_providers.py
Redirect URI auto-generated: {BACKEND_URL}/auth/callback/{provider}

No hardcoded redirect URIs needed!

Proper Background Task Architecture

Celery tasks use sync database sessions for reliability:

from app.db.database import SyncSessionLocal

@celery_app.task()
def process_data(user_id: int):
    db = SyncSessionLocal()
    try:
        # Sync database operations
        db.commit()
    finally:
        db.close()

Docker Compose Everything

All services run in containers:

PostgreSQL with pgAdmin for database management
Redis for Celery message broker
Celery worker and Beat scheduler
Flower for real-time task monitoring

Getting Started

Ready to build? Here's your path forward:

Quick Start - Get up and running in 5 minutes
Getting Started - Complete setup and configuration guide
Authentication - Configure OAuth providers and user management
Background Tasks - Learn Celery patterns and best practices
Database - Work with async SQLAlchemy 2.0
Deployment - Deploy to production

New to FastAPI or async SQLAlchemy? This template is designed to be beginner-friendly while maintaining professional standards. Start with the Quick Start guide to get running immediately.

Introduction