Multi-Model Orchestration

Strategic deployment of multiple LLMs in coordinated fashion to leverage each model's unique strengths while optimizing for cost, speed, and quality. We design intelligent routing systems that automatically select the most appropriate model for each task based on complexity, domain, and requirements. Our orchestration includes implementing fallback chains, consensus mechanisms for critical decisions, and dynamic load balancing. We can combine models for different pipeline stages, use specialized models for specific subtasks, or employ ensemble approaches for improved accuracy. This architecture provides resilience against individual model failures while optimizing operational costs and maintaining high-quality outputs.