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docs(ms-ai-architect): KB-refresh MEDIUM 1/33 — chain-of-thought: reasoning_effort per-modell-nyanse (minimal/none/xhigh varierer) + header-bump

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Kjell Tore Guttormsen 2026-06-24 11:38:23 +02:00
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skills/ms-ai-advisor/references/prompt-engineering/chain-of-thought-prompting.md
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# Chain-of-Thought and Reasoning Prompts # Chain-of-Thought and Reasoning Prompts
**Last updated:** 2026-02 **Last updated:** 2026-06-24
**Status:** GA **Status:** GA
**Category:** Prompt Engineering & LLM Optimization **Category:** Prompt Engineering & LLM Optimization
@ -69,6 +69,8 @@ Disse modellene utfører **innebygd resonnering** automatisk og returnerer både
| **Developer messages** | ✅ | ✅ | ✅ | ✅ | | **Developer messages** | ✅ | ✅ | ✅ | ✅ |
| **Streaming** | ❌ (o1, o1-preview) | ✅ (limited access for o3) | ✅ | ✅ | | **Streaming** | ❌ (o1, o1-preview) | ✅ (limited access for o3) | ✅ | ✅ |
> **Per-modell-nyanser (reasoning_effort):** Verdisettet for GPT-5-serien over er et *superset* — faktisk støtte varierer per modell: `minimal` støttes kun av de opprinnelige GPT-5-modellene (ikke gpt-5.1+); `none` kun fra gpt-5.1 og nyere (gpt-5.1 defaulter til `none`); `xhigh` kun fra gpt-5.1-codex-max og nyere. Modeller før gpt-5.1 defaulter til `medium` og støtter ikke `none`. `reasoning_effort` (low/medium/high) gjelder alle reasoning models unntatt o1-mini.
**Eksempel (GPT-5 med reasoning summary):** **Eksempel (GPT-5 med reasoning summary):**
```python ```python
from openai import OpenAI from openai import OpenAI