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IQ Routing

Trajectory-aware LLM routing that cuts agent cost

IQ Routing acts as a drop-in gateway designed to optimize the cost and efficiency of model requests. Key capabilities include: * Request classification * Intelligent caching for common queries * Dynamic routing to the most cost-effective model that meets quality standards * Contextual routing based on the stage of a multi-step process This system understands that complex interactions are trajectories, not isolated calls, enabling it to route each step according to its position in the overall workflow. For instance, it can direct boilerplate tasks to a more economical model while reserving the most capable (and typically more expensive) models for critical reasoning steps. This granular approach ensures optimal resource utilization without compromising output quality. The service seamlessly integrates with existing model SDKs, such as OpenAI or Anthropic, by acting as a transparent proxy. It helps businesses, from chatbots and Retrieval Augmented Generation (RAG) pipelines to agent loops and finance workloads, significantly reduce operational spend by 40 to 80 percent, based on observed traffic. With an average cache-hit latency of approximately 11 milliseconds, it maintains high performance while delivering substantial cost savings. IQ Routing is ideal for engineering teams, product developers, and financial operations managers seeking to gain granular control over their model expenses, improve cost transparency, and maintain high-quality outputs across diverse applications. It provides detailed cost breakdowns, enabling clear financial categorization and audit trails for better resource management.
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