In detail
- Fugu is itself a language model trained to call other LLMs from an agent pool, handling selection, delegation, verification and synthesis internally.
- Accessible via a single OpenAI‑compatible API; two variants: Fugu for low latency and everyday tasks, Fugu Ultra for maximum answer quality on complex, multi‑step problems.
- Sakana published benchmark results claiming Fugu Ultra performs on par with Anthropic’s Fable 5 and Mythos Preview across coding, reasoning, science and agent benchmarks.
- Teams can customize agent pools and exclude specific agents for privacy or compliance.
Why it matters
Orchestrators offer a practical path to reduce single‑provider dependency and combine specialist models for better, more resilient results — a meaningful shift for businesses building production AI systems.
For you Evaluate multi‑LLM orchestration for critical workloads: run a controlled pilot to test quality, latency and compliance benefits before wider adoption.