Intelligent LLM Router
Optimizes LLM costs and performance by dynamically routing tasks to the most efficient model and provider based on complexity and budget.
The Intelligent LLM Router is a specialized skill designed to manage the trade-offs between cost, latency, and quality in multi-agent systems. It intelligently categorizes incoming tasks into tiers, routing simple operations like classification or formatting to low-cost models like Haiku, while reserving complex reasoning and architectural design for high-capacity models like Opus or o1. By implementing strategies such as cascading (try-cheap-first) and adaptive routing, it allows developers to reduce API expenditure by up to 85% without compromising the integrity of the final output.
Características Principales
01Cascading routing logic to attempt low-cost execution before escalating
02Built-in cost impact analysis and latency optimization for agent workflows
03Task-based tiering for Tier 1 (Haiku), Tier 2 (Sonnet), and Tier 3 (Opus) models
04Multi-provider selection across Anthropic, AWS Bedrock, GCP, and OpenAI
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06Adaptive learning from historical task performance to improve routing accuracy
Casos de Uso
01Reducing API costs in complex multi-step agentic workflows
02Implementing automated quality-check and fallback loops in production AI systems
03Improving response times by offloading mechanical tasks to faster models