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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:
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.
Layers
Agentic Marketing
Learns your app & audience.
Real-time trends.
Turn your code into users
Full Stack Marketing
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