Official Ollama Python client v0.6.3 shipped 2026-09-29: adds ollama.systemone() matching server v0.35.0 /v1/systemone Decision Models (choice/noul/score); relaxes think to string levels; fixes multi-tool examples and case-insensitive image extensions. Requires Ollama ≥0.35.0 plus local decision models such as nimble/tev1.
Key Takeaways
- ✓Release v0.6.3 on 2026-09-29; ~6 commits vs v0.6.2 including
examples/systemone.py - ✓New
ollama.systemone(model, state, questions)batches choice/noul/score Decision Model queries - ✓Needs Ollama server v0.35.0+ and a local decision model (
nimble/tev1) - ✓
thinkaccepts string levels for model-defined thinking (#697/#744) - ✓Install:
pip install -U ollama==0.6.3
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Background
Ollama server v0.35.0 added Decision Models via /v1/systemone, but the Python client lacked a first-class API—teams were hand-rolling HTTP for triage and routing.
What shipped
v0.6.3 (2026-09-29) adds ollama.systemone() (see systemone.py), relaxes think to string levels (#697/#744), and fixes image extension casing plus multi-tool examples.
Benchmarks
No client-only public scores; quality tracks the chosen Decision Model and server build.
Get started
pip install -U ollama==0.6.3, run Ollama ≥0.35.0, ollama pull nimble, then call systemone with choice/noul/score questions. Docs: GitHub, docs.ollama.com.
Benchmark side-by-side against alternatives, or calculate monthly token cost vs subscription break-even.
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