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v0.35.0

ollama/ollama Releases Developers & Open Source Score 7/10

Summary

Decision models Ollama now supports decision models through /v1/systemone , based on TypeSafe’s Jev API . Decision models return choices, probabilities, and scores instead of text. Use them for tasks such as ticket triage, model routing, and content classification. Available models: Nimble from Bespoke Labs Tev1 from Together AI ollama pull nimble Send context and one or more questions: curl http://localhost:11434/v1/systemone \ -H ' Content-Type: application/json ' \ -d ' { "model": "nimble", "state": "Our checkout has returned 500 errors since 9am.", "questions": { "label": { "type": "choice", "instructions": "Which label fits this ticket?", "criteria": { "billing": "Payments and refunds", "bug": "Software errors", "account": "Login and account access" } } } } ' Example response: { "model" : " nimble " , "answers" : { "label" : { "type" : " choice " , "choice" : " bug " , "probabilities" : { "billing" : 0.0125 , "bug" : 0.9781 , "account" : 0.0093 }, "confidence" : 0.8906 } }, "usage" : { "input_tokens" : 174 , "output_tokens" : 1 } } The API supports three question types: choice : Select an option and return probabilities for each. noul : Return the probability that a condition is true. score : Return a score across an ordered set of criteria What's Changed Settings now opens without waiting for model discovery. Fixed the macOS update menu and icon not reflecting an available update at startup. Fixed stalled MLX model downloads hanging indefinitely. Requests containing the deprecated typical_p parameter now log a warning instead of failing. Full Changelog: v0.34.4...v0.35.0

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