A developer encountered persistent empty responses from an LLM API, initially suspecting the model itself. After extensive troubleshooting, the root cause was identified as a combination of a stale TCP connection, a VPN proxy that terminated idle connections, and an overly broad exception handler that masked errors. The issue was resolved by implementing a fresh HTTP connection for each request and refining the exception handling to specifically catch and report connection-related failures. AI
IMPACT Highlights the importance of robust error handling and network diagnostics when integrating with LLM APIs.
RANK_REASON Developer troubleshooting guide for a specific API integration issue.
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