How do I fix a Mistral 429 Too Many Requests error?

This skill helps you implement exponential backoff and retry logic using provided TypeScript templates that respect the 'Retry-After' header sent by Mistral's servers.

How can I verify if my Mistral API key is configured correctly?

You can use the built-in diagnostic bash commands to test API connectivity, verify environment variables, and list available models from your terminal.

Can this skill help with malformed function calls in Mistral?

Yes, it includes documentation and code examples for correct JSON Schema tool definitions to prevent 'Invalid tool definition' errors.

What should I do if I get a 413 Payload Too Large error?

The skill provides a specialized truncation function to manage your conversation history, ensuring your message payloads stay within the maximum context length.

Mistral AI Error Diagnostics

Name: Mistral AI Error Diagnostics
Author: jeremylongshore

byjeremylongshore

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1,440

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API Development

Troubleshoots and resolves common Mistral AI API errors, authentication failures, and rate limit issues through standardized diagnostic patterns.

This skill provides a comprehensive diagnostic framework for developers working with Mistral AI, helping to identify and resolve frequent integration hurdles such as 401 Unauthorized errors, 429 rate limiting, and 413 context window overflows. By offering standardized code snippets for TypeScript and Bash, it facilitates the implementation of robust error handling, exponential backoff strategies, circuit breaker patterns, and schema validation. It is particularly useful during the development and production scaling phases of LLM applications to ensure high availability and reliable performance of Mistral-powered features.

Key Features

011,440 GitHub stars

02Automated diagnosis of Mistral HTTP status codes including 401, 429, and 500

03Context management utilities to prevent 'Payload Too Large' errors via truncation

04Circuit breaker patterns to maintain application stability during service outages

05Schema validation helpers for accurate Mistral function calling and tool definitions

06Pre-built TypeScript implementation for exponential backoff and retry logic

Use Cases

01Implementing production-grade error handling and resilience patterns for AI workflows

02Optimizing token usage and context window management to avoid request failures

03Debugging failed API requests and authentication issues during initial integration

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills mistral-common-errors

For use in Claude.ai and ChatGPT

Download Skill