Definition
Model orchestration is the learned coordination of multiple specialized LLMs behind a single API interface — dynamically routing, delegating, verifying, and synthesizing outputs rather than relying on a single monolithic model.
Sakana Fugu (June 2026)
sakana-ai Fugu exemplifies production model orchestration:
- Trained “conductor” LLM manages agent pool including recursive self-calls
- TRINITY (evolutionary strategies) + Conductor (RL-based routing) — both ICLR 2026
- Two tiers: Fugu (low latency) and Fugu Ultra (max quality)
- OpenAI-compatible single endpoint
Motivation
- Vendor lock-in resilience
- Export control workarounds (claude-mythos restrictions)
- Combine specialized frontier models’ strengths
Trade-offs
- Added latency from multi-round delegation
- Higher token costs (multiple model calls)
- Vendor-reported benchmarks require independent verification