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Update deployment names and notes in deep-research-samples.md
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articles/ai-foundry/agents/how-to/tools/deep-research-samples.md

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@@ -51,14 +51,14 @@ Use this article to learn how to use the Deep Research tool with the Azure AI Pr
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Save this endpoint to an environment variable named `BING_RESOURCE_NAME`.
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* The names of your `o3-deep-research-model` deployment name and Azure OpenAI GPT model deployment name. You can find them in **Models + Endpoints** in the left navigation menu.
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* The deployment names of your `o3-deep-research-model` and `gpt-4o` models. You can find them in **Models + Endpoints** in the left navigation menu.
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:::image type="content" source="../../media/tools/deep-research/model-deployments.png" alt-text="A screenshot showing the model deployment screen the AI Foundry portal." lightbox="../../media/tools/deep-research/model-deployments.png":::
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:::image type="content" source="../../media/tools/deep-research/model-deployments.png" alt-text="A screenshot showing the model deployment screen the AI Foundry portal." lightbox="../../media/tools/deep-research/model-deployments.png":::
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Save the name of your `o3-deep-research-model` deployment name as an environment variable named `DEEP_RESEARCH_MODEL_DEPLOYMENT_NAME` and Azure OpenAI GPT model deployment name as an environment variable named `MODEL_DEPLOYMENT_NAME`.
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Save the name of your `o3-deep-research` deployment name as an environment variable named `DEEP_RESEARCH_MODEL_DEPLOYMENT_NAME` and the `gpt-4o` deployment name as an environment variable named `MODEL_DEPLOYMENT_NAME`.
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> [!NOTE]
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> Limitation: The Deep Research tool is currently recommended only in nonstreaming scenarios. Using it with streaming can work, but it might occasionally time out and is therefore not recommended.
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> Other GPT-series models including GPT-4o-mini and the GPT-4.1 family are not supported for scope clarification.
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## Create an agent with the Deep Research tool
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print("Deleted agent")
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```
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> [!NOTE]
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> Limitation: The Deep Research tool is currently recommended only in nonstreaming scenarios. Using it with streaming can work, but it might occasionally time out and is therefore not recommended.
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## Next steps
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* [Reference documentation](https://aka.ms/azsdk/azure-ai-projects/python/reference)

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