LLM Model Error Handling Improvement
Implement generalized error codes and smoother handling for model-related failures.
This will help both users and platforms create more reliable alert systems and improve overall system
Example for Open AI
Code | CodeOverview |
401 - Invalid Authentication | Cause: Invalid Authentication |
401 - Incorrect API key provided | Cause: The requesting API key is not correct. |
401 - You must be a member of an organization to use the API | Cause: Your account is not part of an organization. |
403 - Country, region, or territory not supported | Cause: You are accessing the API from an unsupported country, region, or territory. |
429 - Rate limit reached for requests | Cause: You are sending requests too quickly. |
429 - You exceeded your current quota, please check your plan and billing details | Cause: You have run out of credits or hit your maximum monthly spend. |
500 - The server had an error while processing your request | Cause: Issue on our servers. |
503 - The engine is currently overloaded, please try again later | Cause: Our servers are experiencing high traffic. |
503 - Slow Down | Cause: A sudden increase in your request rate is impacting service reliability. |
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