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Semantic response monitor for LLM agent tool calls

Agents often receive HTTP 200 responses whose payloads are malformed or semantically wrong, and ordinary uptime dashboards never flag it. A monitoring layer that validates tool-call responses against schemas and expected meaning would catch these silent failures before agents act on garbage.

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为什么值得看——三个可验证的信号,不是黑箱分数。

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LLM agentsAPI monitoringsilent failurestool callsobservability

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