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Sakana

Sakana AI

Sakana AI: one unified model for everything you build

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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Sakana Fugu is a frontier-grade multi-agent orchestration model that routes complex, multi-step tasks across a curated pool of expert LLMs through a single OpenAI-compatible API. Instead of handcrafting workflows or hardwiring roles, Fugu learns how to assemble, coordinate, and sequence specialized agents to maximize reasoning quality, coding accuracy, and reliability.

Built on cutting-edge research, including the TRINITY evolved LLM coordinator and the Conductor reinforcement‑learned dispatcher, Sakana Fugu dynamically assigns Thinker, Worker, and Verifier roles to different models. This enables stronger performance on challenging reasoning benchmarks, more robust code generation and debugging, and smarter knowledge-intensive workflows than any single model alone.

With Sakana Fugu, engineering and AI teams can:

  • Access multiple frontier LLMs through one API while offloading model selection, routing, and switching
  • Optimize cost-performance by delegating sub-tasks to the most suitable expert agents
  • Enforce data and compliance requirements by opting out of specific providers or models
  • Plug multi-agent intelligence directly into existing pipelines for coding, analysis, and decision-support tasks

Whether you’re building autonomous coding pipelines, advanced reasoning assistants, or research-grade AI systems, Sakana Fugu delivers multi-agent intelligence as a single, production-ready model endpoint.

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