Api Error Handling

What it does

This skill enables AI agents to gracefully handle API errors, providing informative responses instead of crashing or displaying generic error messages. It can analyze HTTP status codes and response bodies to determine the nature of the error and suggest appropriate actions, such as retrying requests with modified parameters or alerting human operators. The skill aims to improve the robustness and user experience of applications interacting with APIs.

When to use it

• Debugging API integrations: When an AI agent is struggling to interact with a third-party API and encountering errors.
• Building resilient bots: To ensure that conversational agents can handle unexpected API failures without interrupting the conversation flow.
• Automating complex workflows: When automating tasks involving multiple APIs, where error handling is crucial for reliability.
• Monitoring API health: To proactively identify and respond to issues with backend services.

Key capabilities

• HTTP status code analysis
• Response body parsing
• Error message interpretation
• Retry logic implementation
• Alerting/logging functionality

Example prompts

• "The API returned a 401 error. What does that mean and how should I respond?"
• "I'm getting an 'Internal Server Error' from the payment gateway. Can you suggest some troubleshooting steps?"
• "This API call failed with a timeout. Should I retry it, and if so, with what parameters?"

Tips & gotchas

The skill requires access to the raw HTTP response data (status code and body) for effective error analysis. Ensure your AI agent's environment is configured to provide this information when API calls fail.