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Llm Proxy

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Blog post argues developers should self-host LLM proxies for visibility

A developer-focused blog post contends that relying on an AI provider's built-in analytics dashboard gives users little real insight into token usage or request behavior. Instead, the author recommends running a self-hosted LLM proxy that logs which API key called which model, from which client, and when, across multiple providers and models from one endpoint.