How to orchestrate multiple LLMs through a single API to solve complex multi-step tasks?

Orchestrate multiple LLMs through a single API to solve complex multi-step tasks using Sakana AI

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Sakana

Sakana Fugu is a research-driven multi-agent orchestration model that coordinates multiple LLMs through one API to solve complex, multi-step tasks. It learns how to route, sequence, and verify work across expert agents for higher-quality coding, reasoning, and knowledge workflows while honoring data and compliance constraints.

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What to expect from an ideal product

  1. Sakana Fugu connects to multiple LLMs through a single API, so you don't have to juggle different endpoints or manage separate integrations for each model
  2. It figures out which agent is best suited for each part of a task, routing work intelligently instead of dumping everything on one model
  3. For multi-step tasks, it sequences the work in the right order, making sure each agent builds on what the previous one did rather than working in isolation
  4. It checks the output at each stage, catching mistakes before they stack up and affect the final result
  5. You can set data and compliance boundaries upfront, and the system respects them throughout the entire workflow without you having to police it manually

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