Why HTTP 200 Status Codes Can Hide LLM Policy Failures in AI Gateways

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When an LLM gateway's policy layer blocks or flags a message, it may still return an HTTP 200 status code, embedding the refusal inside the streamed response rather than signaling an error — making standard HTTP-level monitoring blind to the failure. This design choice is intentional on chat paths, where a 400 error would show a generic alert and hide the explanation, while a 200 keeps the reason visible to the user in context. The problem is compounded because a single POST request to a chat endpoint can contain an entire conversation history — meaning one HTTP log entry may represent dozens of individual messages, each subject to separate policy decisions. Traditional access logs record one status and one latency per request, but cannot reveal which specific message was blocked, which rule triggered, or whether a policy change caused widespread refusals. Effective monitoring of LLM traffic therefore requires message-level audit records that track policy outcomes per turn, not just transport-level HTTP responses.

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