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articles/ai-services/openai/how-to/reasoning.md

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@@ -46,7 +46,7 @@ Azure OpenAI `o-series` models are designed to tackle reasoning and problem-solv
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| **[Reasoning effort](#reasoning-effort)** ||||| - | - |
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| **[Vision Support](./gpt-with-vision.md)** ||| - || - | - |
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| Chat Completions API |||||||
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| Responses API |(**Feature coming soon!**) |(**Feature coming soon!**) | - | - | - | - |
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| Responses API ||| - | - | - | - |
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| Functions/Tools ||||| - | - |
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| Parallel Tool Calls ||| - | - | - | - |
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| `max_completion_tokens`<sup>*</sup> |||||||
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When using the latest `o3` and `o4-mini` models with the [Responses API](./responses.md) you can use the reasoning summary parameter to receive summaries of the model's chain of thought reasoning. This parameter can be set to `auto`, `concise`, or `detailed`. Access to this feature requires you to [Request Access](https://aka.ms/oai/o3access).
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> [!NOTE]
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> Even when enabled, reasoning summaries are not generated for every step/request. Based on current testing, it is expected for reasoning summaries to not be generated for about 20% of requests.
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> Even when enabled, reasoning summaries are not generated for every step/request. This is expected behavior.
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# [Python](#tab/py)
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