Can it fix my .env file automatically?

Yes, it can generate fixes for missing API keys and ensure your .env file is correctly structured and appropriately listed in .gitignore for security.

Does it verify actual API credentials?

Yes, the skill includes a test-provider-connection script that performs a minimal token call to verify that your API credentials are active and valid.

What providers does this skill support?

It supports a wide range of providers including OpenAI, Anthropic, Google (Gemini), xAI (Grok), Groq, Mistral, Cohere, and DeepSeek.

How does it help with rate limiting?

The skill includes a fix generator that can add retry logic with exponential backoff to your provider configuration to handle 429 errors.

Can it suggest the correct model names?

Yes, the model compatibility checker identifies typos in model strings and suggests the closest valid model name for the specific provider you are using.

Vercel AI SDK Provider Validator

Name: Vercel AI SDK Provider Validator
Author: vanman2024

byvanman2024

API開発

Validates, diagnoses, and fixes Vercel AI SDK provider configurations to resolve authentication, environment, and model compatibility issues.

概要

The Vercel AI SDK Provider Validator is a specialized diagnostic skill designed to streamline the setup and troubleshooting of LLM provider integrations. It autonomously detects common errors like invalid API keys (401/403), rate limits (429), and missing environment variables, offering automated fixes and model compatibility checks. Whether you are integrating OpenAI, Anthropic, or Google Gemini, this tool ensures your connection is secure, your dependencies are installed, and your model names are accurate, significantly reducing the time spent on manual debugging during AI application development.

主な機能

Automated provider package and SDK dependency verification
Security auditing for .env files and .gitignore configurations
Real-time API connection testing for OpenAI, Anthropic, Google, and more
Intelligent model name validation and compatibility suggestions
Automated fix generation for rate limiting and missing API keys
0 GitHub stars

ユースケース

Resolving authentication failures and 401 Unauthorized errors during AI integration
Standardizing environment variable setups across multiple LLM providers
Debugging 'Model Not Found' errors by verifying exact model IDs and compatibility

概要

主な機能

Automated provider package and SDK dependency verification
Security auditing for .env files and .gitignore configurations
Real-time API connection testing for OpenAI, Anthropic, Google, and more
Intelligent model name validation and compatibility suggestions
Automated fix generation for rate limiting and missing API keys
0 GitHub stars

ユースケース

Resolving authentication failures and 401 Unauthorized errors during AI integration
Standardizing environment variable setups across multiple LLM providers
Debugging 'Model Not Found' errors by verifying exact model IDs and compatibility