← Ai Gateway / ai-gateway / reference
Troubleshooting
This page covers common issues when using AI Gateway. For provider-specific troubleshooting, refer to the relevant provider documentation.
Authentication errors
401 or unauthenticated errors
If you receive authentication errors from your AI provider, AI Gateway did not pass valid credentials upstream. Check the following:
-
Verify header placement: Make sure your Cloudflare token is in
cf-aig-authorization, notAuthorization. TheAuthorizationheader is reserved for provider credentials. -
Check your configuration based on endpoint type:
- Provider-specific endpoints: Confirm your request URL includes the provider path (for example,
/google-vertex-ai/or/openai/). AI Gateway uses this to identify the provider and apply the correct stored credentials. - Unified
/compat/chat/completionsendpoint: Confirm yourmodelname starts with the provider prefix (for example,google-vertex-ai/google/gemini-2.5-flashoropenai/gpt-4o). AI Gateway uses this prefix to route the request and select the correct stored credentials.
- Provider-specific endpoints: Confirm your request URL includes the provider path (for example,
-
Verify BYOK key selection: If you have multiple keys configured for a provider, ensure either:
- You are using the key with alias
default, or - You include the
cf-aig-byok-aliasheader with the correct alias name
- You are using the key with alias
-
Verify BYOK configuration: If using BYOK, confirm in the dashboard that your credentials were saved correctly.
For provider-specific authentication issues:
DLP issues
For troubleshooting Data Loss Prevention issues such as DLP not triggering or unexpected blocking, refer to DLP troubleshooting.
Request failures
Requests timing out
- Check if the upstream provider is experiencing issues
- Consider implementing dynamic routing with fallbacks for transient failures
- Review your rate limiting configuration
Requests returning errors from the provider
- Verify your API key or credentials are valid with the provider directly
- Check the provider's status page for outages
- Review AI Gateway logs for detailed error information
Caching issues
Requests not being cached
- Verify caching is enabled for your gateway
- Check that the request method and content type are cacheable
- Streaming responses are not cached by default
Unexpected cache hits or misses
- Review your cache TTL settings
- Check if you have request headers that are bypassing the cache or setting a custom cache key.