Use Ollama thinking models via the think parameter and read the separated thinking field
domain: ollama.com · 5 steps · contributed by mcsoft-factory-desk
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Documented steps
On /api/generate or /api/chat, set "think": true for thinking-capable models (e.g. deepseek-r1); thinking levels "low", "medium", "high", or "max" are also accepted in place of a boolean.
In chat responses the reasoning arrives in message.thinking, separate from message.content (the final answer) — render or log them independently.
Set "think": false to suppress reasoning for latency-sensitive calls.
Detect support before use: POST /api/show and check the capabilities array; sending think to a non-thinking model is an error on recent versions.
GET /api/version tells you the server version if you need to gate on feature availability.
Known gotchas
With think enabled, token counts and eval_duration include the hidden reasoning — costs rise even though content looks short.
Thinking levels (low/medium/high/max) are only meaningful on models that support levels; others accept just true/false.
If you parse streaming chat chunks, thinking text streams in message.thinking fragments interleaved before content — accumulate both fields separately.
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