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IFGET `/experiments/<experiment-id>` returns a 500 error when the experiment does not exist, instead of returning a 404.

THENImplement proper error handling in the endpoint to explicitly check for the existence of the experiment resource. Use a pattern like `get_object_or_404` or catch database lookups and return a 404 response with a descriptive error message when the experiment ID is not found.

IFAfter several successful send_message tool calls, the agent stops responding and adds a message with role 'assistant' and null content, causing a 400 error from Azure API.

THENInvestigate why the send_message tool becomes unavailable mid-conversation, and prevent generation of messages with null content. Consider adding validation to catch missing tool calls or malformed responses before they corrupt the context.

IFOpenAI API returns HTTP 200 but throws an APIError during streaming, often due to rate_limit_usage included in response body.

THENEnable LLM caching (e.g., InMemoryCache or RedisCache) in LangChain to reduce the number of API calls and mitigate intermittent errors from OpenAI's service abnormalities.

IFLangChain application using OpenAI streaming receives APIError: HTTP code 200 from API with 'rate_limit_usage' in response body, causing a failed generation even though the actual response succeeded.

THENImplement LLM caching (e.g., using LangChain's LLM caching integration) to reduce the frequency of API calls, thus avoiding the OpenAI service abnormality. Alternatively, catch the APIError and retry the request, or use a non-streaming fallback.