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Copy file name to clipboardExpand all lines: articles/search/cognitive-search-skill-genai-prompt.md
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@@ -8,7 +8,7 @@ ms.service: azure-ai-search
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ms.custom:
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- build-2025
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ms.topic: reference
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ms.date: 08/27/2025
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ms.date: 09/18/2025
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---
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# GenAI Prompt skill
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## Supported models
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You can use any [chat completion inference model](/azure/ai-foundry/model-inference/concepts/models) deployed in AI Foundry, such as GPT models, Deepseek R#, Llama-4-Mavericj, Cohere-command-r, and so forth.
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-You can use any [chat completion inference model](/azure/ai-foundry/model-inference/concepts/models) deployed in AI Foundry, such as GPT models, Deepseek R#, Llama-4-Mavericj, Cohere-command-r, and so forth.
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For image verbalization, the model you use to analyze the image determines what image formats are supported.
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-For image verbalization, the model you use to analyze the image determines what image formats are supported.
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Billing is based on the pricing of the model you use.
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- For GPT-5 model, the `temperature` parameter is not supported in the same way as previous models. If defined, it must be set to `1.0`, as other values will result in validation errors or be ignored.
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- Billing is based on the pricing of the model you use.
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> [!NOTE]
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> The search service connects to your model over a public endpoint, so there are no region location requirements, but if you're using an all-up Azure solution, you should check the [Azure AI Search regions](search-region-support.md) and the [Azure OpenAI model regions](/azure/ai-services/openai/concepts/models) to find suitable pairs, especially if you have data residency requirements.
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- For AI Foundry models, assign [**Azure AI User**](/azure/ai-foundry/concepts/rbac-azure-ai-foundry#azure-ai-user).
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