AI-generated Answer for tkacid
The error "LLM Cascade Error: Brain returned no response" typically indicates that the custom LLM endpoint did not return any data or response when called. Here are some steps you can take to debug this issue:
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Verify the Endpoint URL: Ensure that the full URL for the endpoint is correctly configured. Based on the information provided, the full URL (e.g., https://mars.chub.ai/chub/asha/v1/chat/completions) should be used, not just the prefix.
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Check the Request Format: Confirm that the request being sent to the LLM matches the expected format. This includes verifying the headers, body, and any required authentication (e.g., API keys). You can use tools like Postman to replicate the request and ensure it works as expected.
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Inspect Logs: If possible, check the logs on the server hosting the custom LLM. This can help identify if the request is reaching the server and whether any errors are occurring during processing.
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Test with Postman: Since you mentioned that Postman provides a proper response stream, compare the request sent from ElevenLabs with the one used in Postman. Look for differences in headers, payload, or other parameters.
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Debugging with Conversation IDs: Use the provided conversation IDs (e.g., WWni4qE28fROOBv8s3Q0, 3TEgt6t7y7wY2VRg5Mpg) to trace the issue in your ElevenLabs dashboard or logs. This can help identify if the issue is on the ElevenLabs side or with the LLM.
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Check for Streaming Compatibility: Ensure that the LLM endpoint supports streaming responses, as ElevenLabs may expect a streaming response format.
If the issue persists, you may need to reach out to the support team of the custom LLM provider or ElevenLabs for further assistance.
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