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As part of this release, the `max_tokens` parameter was deprecated and replaced with the new `max_completion_tokens` parameter. **o1 series** models will only work with the `max_completion_tokens` parameter.
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**o1 series** models will only work with the `max_completion_tokens` parameter.
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The latest most capable **o1 series** model is `o1`**Version: 2024-12-17**. This general availability (GA) model should be used with API version `2024-12-01-preview`.
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> [!IMPORTANT]
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> There is a known issue with the `o1` model and the `tool_choice` parameter. Currently function calls that include the optional `tool_choice` parameter will fail. this page will be updated once the issue is resolved.
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### 2024-12-01-preview
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### Not Supported
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`2024-12-01-preview` adds support for the new `reasoning_effort` parameter, [structured outputs](./structured-outputs.md), and developer messages. The older preview reasoning models do not currently support these features. For reasoning models, these features are currently only available with `o1`**Version: 2024-12-17**.
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The following are currently unsupported with o1-series models:
These models do not currently support the same set of parameters as other models that use the chat completions API. Only a limited subset is currently supported. Using standard parameters like `temperature` and `top_p` will result in errors.
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These models [don't currently support the same set of parameters](#api--feature-support) as other models that use the chat completions API.
You will need to upgrade your OpenAI client library for access to the latest parameters.
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You'll need to upgrade your OpenAI client library for access to the latest parameters.
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```cmd
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pip install openai --upgrade
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```
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If you are new to using Microsoft Entra ID for authentication see [How to configure Azure OpenAI Service with Microsoft Entra ID authentication](../how-to/managed-identity.md).
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If you're new to using Microsoft Entra ID for authentication see [How to configure Azure OpenAI Service with Microsoft Entra ID authentication](../how-to/managed-identity.md).
> Reasoning models have `reasoning_tokens` as part of `completion_tokens_details` in the model response. These are hidden tokens that are not returned as part of the message response content but are used by the model to help generate a final answer to your request. `2024-12-01-preview` adds an additional new parameter `reasoning_effort` which can be set to `low`, `medium`, or `high` with the latest `o1` model. The higher the effort setting, the longer the model will spend processing the request, which will generally result in a larger number of `reasoning_tokens`.
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> Reasoning models have `reasoning_tokens` as part of `completion_tokens_details` in the model response. These are hidden tokens that aren't returned as part of the message response content but are used by the model to help generate a final answer to your request. `2024-12-01-preview` adds an additional new parameter `reasoning_effort` which can be set to `low`, `medium`, or `high` with the latest `o1` model. The higher the effort setting, the longer the model will spend processing the request, which will generally result in a larger number of `reasoning_tokens`.
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## Developer messages
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@@ -234,7 +248,7 @@ Adding a developer message to the previous code example would look as follows:
| Price |[Available here](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) <br> For details on vision-enabled chat models, see the [special pricing information](../openai/concepts/gpt-with-vision.md#special-pricing-information).|
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| Virtual network support & private link support | Yes. |
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