python-resilience

What problem does it solve?

Python applications often face transient failures (network glitches, timeouts, flaky services). This Skill provides a structured approach to adding retries, backoff, timeouts, and fault-tolerant decorators to keep systems resilient.

Core Features & Use Cases

• Exponential backoff with jitter to mitigate retry storms
• Timeout handling and optional circuit-breaker patterns for fault-tolerant services
• Decorator-based composition to separate resilience concerns from business logic

Quick Start

Install the tenacity library and wrap a function with a retry decorator to handle transient failures.