Coding Tools
Ollama adds Jev-style decision models
Ollama Bloghigh confidence
Why it matters
- →Enables local, low-latency structured decision-making without cloud API costs.
- →Provides specialized open-weight models optimized for routing and triage tasks.
- →Integrates TypeSafe SDK standards directly into the popular Ollama runtime.
Ollama version 0.35 introduces support for Jev-style decision models through a new /v1/systemone endpoint, allowing local execution of structured queries via the TypeSafe API. The update includes three initial models: Bespoke Lab’s nimble (9B), Together AI’s teev1 (4B), and teev1:0.8b (0.8B). These models are optimized for low-latency tasks such as ticket triage and content moderation, with nimble achieving 91ms response times on M5 Max hardware. The feature enables developers to send state and named questions in a single request, receiving typed outputs like choices, scores, or boolean flags.
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