Status: 🔜 Coming Q1 2026 The Python SDK is currently in development. This
page shows the planned API and features.
Planned Features
Flask Support
Decorator-based middleware for Flask
FastAPI Support
Dependency injection for FastAPI
Async/Await
Full async support with asyncio
Type Hints
Complete type annotations
Pydantic Models
Data validation with Pydantic
CLI Tools
Command-line tools for testing
Installation (Planned)
- pip
- Poetry
- requirements.txt
bash pip install prism-flask # or pip install prism-fastapi The canonical SDK config is
identify_token (PRISM_IDENTIFY_TOKEN env var) — formerly api_key / PRISM_API_KEY. SDKs accept the legacy names as fallback during the migration window; new code should use the canonical names.Planned API
Flask Example
FastAPI Example
Configuration
Payment Info Model
Error Handling (Flask)
Error Handling (FastAPI)
Advanced Flask Patterns
Blueprint Support
Dynamic Pricing
Custom Middleware
Advanced FastAPI Patterns
Dependency Injection
Background Tasks
WebSocket Support
Testing Support
Flask Testing
FastAPI Testing
CLI Tools (Planned)
Planned Features Roadmap
1
Q1 2026 - Core Libraries
- Flask decorator support - FastAPI dependency injection - Basic payment verification - Type hints and Pydantic models
2
Q2 2026 - Advanced Features
- WebSocket support - Background task integration - Advanced caching - CLI tools
3
Q3 2026 - Frameworks
- Django middleware - Starlette support - Sanic integration - Tornado handlers
4
Q4 2026 - Ecosystem
- Celery integration - Redis caching - PostgreSQL tracking - Prometheus metrics
Why Python SDK?
Data Science
Python dominates ML/AI applications
Simplicity
Clean, readable decorator syntax
Async Support
Native async/await with FastAPI
Ecosystem
Rich ecosystem of libraries
Expected Use Cases
AI/ML APIs
Data APIs
Content APIs
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Contribute
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Alternative Solutions
While waiting for the Python SDK, you can:- REST API
- TypeScript SDK
Use Prism Gateway REST API with
requests or httpxAPI Reference
Complete REST API documentation