Sakana Fugu
Sakana Fugu is a multi-agent system delivered as one OpenAI-compatible model API, dynamically orchestrating specialized model agents for coding, reasoning, research, cybersecurity, and complex multi-step tasks.
Overview
Sakana Fugu helps developers plug a coordinated pool of AI agents into existing tools and workflows, improving model routing, task decomposition, answer quality, and cost-performance without requiring manual multi-model orchestration.
Core Features & Capabilities
Ideal for AI engineers, developer-tool builders, coding assistant teams, research labs, cybersecurity analysts, patent researchers, scientific teams, data science teams, agent framework builders, enterprise AI teams, AI infrastructure teams, chatbot builders, and developers who want stronger reasoning and coding performance without manually managing multiple model providers.
- Use one OpenAI-compatible API to access a coordinated pool of specialized model agents
- Apply Fugu to everyday coding, code review, chatbot, reasoning, and workflow automation tasks
- Use Fugu Ultra for high-stakes tasks such as cybersecurity analysis, research, scientific reasoning, and patent investigation
- Reduce manual model-routing complexity through learned orchestration and dynamic agent selection
- Control which agents or providers participate in the model pool for privacy, compliance, and organizational requirements
Trending Use Cases
Why AI Teams Watch Sakana Fugu
Visit the Sakana Fugu website to review model options, pricing, benchmark results, examples, availability notes, and API access. Developers can start with Fugu for balanced everyday workloads or use Fugu Ultra for more difficult, high-stakes tasks. Because the API is OpenAI-compatible, teams can integrate Fugu into existing applications, coding tools, chatbot systems, agent workflows, and backend services with minimal changes while controlling which agents participate in the model pool.
“Sakana Fugu turns multi-agent model orchestration into a single API, giving developers stronger reasoning and coding performance without hand-building routing workflows.”
Getting Started with Sakana Fugu
By combining learned model orchestration, dynamic agent coordination, OpenAI-compatible access, Fugu and Fugu Ultra model options, coding and reasoning benchmarks, cybersecurity analysis, research workflows, and provider-level controls, Sakana Fugu gives AI teams a practical way to use multi-agent intelligence through a single production API.
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Sakana Fugu
Sakana AI is the creator of Sakana Fugu, a multi-agent model API built around learned orchestration, expert agent coordination, dynamic model routing, OpenAI-compatible integration, coding workflows, reasoning tasks, research automation, and high-stakes AI analysis.
Sakana Fugu is a multi-agent intelligence API from Sakana AI that gives developers access to a coordinated pool of specialized models through one OpenAI-compatible endpoint. Instead of relying on a single model or manually routing prompts across providers, Fugu dynamically selects, switches, and coordinates expert agents for each task. The system is built on Sakana AI’s research into learned model orchestration, including TRINITY and the Conductor, and is designed for coding, reasoning, scientific workflows, agentic research, cybersecurity analysis, literature investigations, patent research, chatbot services, and other quality-critical workloads. Fugu provides a balanced default model, while Fugu Ultra coordinates a deeper expert-agent pool for harder, high-stakes problems.
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