Show HN: Distill and serve small models with frontier quality for half the cost
World Model Optimizer wmo turns agent traces you already collect into continuous improvement. Start with a model endpoint at frontier quality with 40%+ lower cost. Keep improving it with world model simulations, meta-harness optimization, and model distillation. 🌐 Platform | 📚 Docs | Discord Getting started 1.
- ▪World Model Optimizer wmo turns agent traces you already collect into continuous improvement.
- ▪Start with a model endpoint at frontier quality with 40%+ lower cost.
- ▪Keep improving it with world model simulations, meta-harness optimization, and model distillation. 🌐 Platform | 📚 Docs | Discord Getting started 1.
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World Model Optimizer wmo turns agent traces you already collect into continuous improvement. Start with a model endpoint at frontier quality with 40%+ lower cost. Keep improving it with world model simulations, meta-harness optimization, and model distillation. 🌐 Platform | 📚 Docs | Discord Getting started 1. Register your providers. pip install world-model-optimizer wmo providers set 2. Tune a router on your OTel traces. wmo build --file traces.jsonl --name my-endpoint # Score every registered model on held-out tasks from your traces wmo optimize route sweep my-endpoint --traces traces.otel.jsonl # Turn those measurements into a routing policy wmo optimize route fit matrix.json --kind knn \ --out .wmo/models/my-endpoint/policy.json 3. Serve it.
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