Sakana AI launches Sakana Fugu: an orchestration model that routes tasks across a swappable pool of frontier LLMs.
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Sakana AI launches Sakana Fugu: an orchestration model that routes tasks across a swappable pool of frontier LLMs. June 22, 2026 Today, Sakana AI launched Sakana Fugu. It is a multi-agent orchestration system that behaves like one model. You send a request to a single endpoint. Fugu decides how to handle it internally. It solves a task directly when that is enough. It also assembles and coordinates a team of expert models when needed. The complexity of a multi-agent system never reaches your code. Tl;dr. * Fugu delivers a multi-agent system behind one OpenAI-compatible API. * Fugu Ultra leads most published coding and reasoning benchmarks. * The orchestrator beats the individual models it coordinates. * Opt-out and provider routing target compliance and single-vendor risk. * Routing is proprietary, so per-query model selection stays hidden. What is Sakana Fugu. Fugu is itself a language model. It is trained to call other LLMs in an agent pool. That pool includes instances of itself, called recursively. Fugu manages model selection, delegation, verification, and synthesis internally. Instead of hard-coded roles or workflows, Fugu learns how to coordinate. It decides when to delegate and how agents should communicate. It then combines their work into one answer. From the outside, you call a single model. Inside, a coordinated system of experts does the work. Sakana AI...
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