How to Handle Errors
Learn how to handle API errors robustly.
Problem
You want your application to handle errors gracefully without breaking the user experience.
Solution
Implement error handling at 3 levels: validation, HTTP response, and retry.
1. Validation Before Sending
Avoid errors by validating data first:
function validateRequest(query, tenantId) {
if (!query || query.trim() === '') {
throw new Error('Query is required');
}
if (!tenantId) {
throw new Error('tenant_id is required');
}
return true;
}2. HTTP Code Handling
3. Custom Error Classes
4. Retry with Exponential Backoff
For temporary errors (429, 500, 503):
5. Complete Usage
Python: Error Handling
Common Errors and Solutions
Error
Cause
Solution
tenant_id is required
Missing tenant_id
Add tenant_id to filters
query is required
Empty query
Validate before sending
Rate limit exceeded
Too many requests
Implement retry with backoff
Internal server error
Server error
Automatic retry
Service unavailable
Maintenance
Wait and try again
Error Logging
Related
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