Advisor: Give Any Model a Lifeline to a Smarter One
Blog post from OpenRouter
OpenRouter's advisor tool allows AI models to enhance their decision-making capabilities by consulting with more advanced models from any provider when faced with complex tasks, thereby maintaining efficiency and cost-effectiveness. The tool operates by enabling a primary model, or executor, to call upon an advisor model for guidance in challenging situations, which is particularly useful for handling architectural decisions and ambiguous scenarios that simpler models may struggle with. This approach allows for selective consultation, ensuring that only the necessary computational resources are used, thereby reducing costs significantly, as evidenced by the price disparity between lower-cost models like GPT-4o Mini and premium models like Claude Fable 5. The advisor performs server-side operations and provides guidance without taking over the task, acting more as a consultant than a ghostwriter, while also allowing for named advisors and the use of additional tools like web search to ground advice in current information. OpenRouter's solution stands out by offering flexibility across various model families, enabling multiple named advisors with distinct roles and capabilities, and ensuring that advice can be streamed incrementally, all without the constraints often present in other provider-specific advisor tools.