Ollama's /v1/systemone endpoint returns probabilities and confidence scores instead of text, replacing multi-turn prompts for ticket triage and routing with single structured requests.
Summary
Eliminates prompt engineering overhead for classification workflows by returning calibrated probabilities across predefined categories. Reduces latency and token overhead compared to parsing text responses for deterministic decisions.
Why it matters
Eliminates prompt engineering overhead for classification workflows by returning calibrated probabilities across predefined categories. Reduces latency and token overhead compared to parsing text responses for deterministic decisions.
Implementation verdict
Replaces custom parsing logic around text-based classification. Requires Ollama v0.35.0+, one of two available models (Nimble or Tev1), and reformatted requests using the /v1/systemone schema. Ready to try now for ticket triage and content routing, but model coverage is minimal—validate Nimble/Tev1 fit your classes first.
Sources
Dev Signal
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