LLM Error Handler

What problem does it solve?

This Skill addresses recurring errors in Large Language Model API calls, ensuring smoother operation and preventing service disruptions.

Core Features & Use Cases

• Automatic Error Detection: Identifies common LLM API errors (400, 429, 500+).
• Intelligent Retries: Implements exponential backoff with jitter for transient failures.
• Content Sanitization: Cleans input content to prevent validation errors.
• Fallback Mechanisms: Provides graceful degradation when the primary LLM fails.
• Use Case: When an LLM API returns a 400 error due to malformed input, this Skill automatically sanitizes the input and retries the request, preventing the entire process from failing.

Quick Start

Use the LLM Error Handler skill to automatically retry a failed LLM API call with exponential backoff.