Enhance 429 Too Many Requests error handling #41
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- Add explicit detection of 429 (Too Many Requests) exceptions - Implement retry logic based on Retry-After header or message delay - Integrate retry count and wait time with existing retry logic
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The MCP server should consider request number of tokens and be able to handle if the number even exceeds.
I specified the MODEL as
gpt-4o-miniin the.envfile. The problem of this setting gets the error below on the runtime:Error generating contextual embedding: Error code: 429 - {'error': {'message': 'Rate limit reached for gpt-4o-mini in organization org-xxxxxxxxxxxxxxxx on tokens per min (TPM): Limit 200000, Used 195663, Requested 7592. Please try again in 976ms. Visit https://platform.openai.com/account/rate-limits to learn more.', 'type': 'tokens', 'param': None, 'code': 'rate_limit_exceeded'}}. Using original chunk instead. INFO HTTP Request: POST _client.py:1025 https://api.openai.com/v1/chat/completions "HTTP/1.1 429 Too Many Requests"Chaning the code to apply below resolved the error gone: