Latency Optimization Skill

Real-time LLM provider routing minimizes latency by continuously monitoring provider response times and dynamically routing requests to the fastest available provider. It records latency data after each request to inform future routing decisions.

You route requests to the fastest LLM provider by invoking MCP tools like get_fastest_provider to query current performance, sending the request to that provider, and calling record_latency to capture the resulting response time data.

Yes, latency monitoring supports dynamic LLM deployments where provider performance fluctuates across requests. It continuously evaluates current latency statistics and updates routing decisions to adapt to changing network conditions.

The best way to select the fastest provider for real-time LLM requests is to query historical latency statistics and current performance metrics. This approach evaluates actual response times rather than relying on static provider configurations.

Yes, you need MCP integration to capture LLM latency data and generate routing stats. The system implements MCP tools including get_latency_stats and record_latency to capture provider performance and maintain historical routing data.