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Copy file name to clipboardExpand all lines: articles/ai-foundry/agents/how-to/tools/deep-research-samples.md
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@@ -30,13 +30,7 @@ Use this article to learn how to use the Deep Research tool with the Azure AI Pr
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:::image type="content" source="../../media/quickstart/portal-endpoint-string.png" alt-text="A screenshot showing the endpoint in the Azure AI Foundry portal." lightbox="../../media/quickstart/portal-endpoint-string.png":::
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Save this endpoint to an environment variable named `PROJECT_ENDPOINT`.
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* The name of your Grounding with Bing Search resource name. You can find it in the Azure AI Foundry portal by selecting **Management center** from the left navigation menu. Then selecting **Connected resources**.
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:::image type="content" source="../../media/tools/deep-research/bing-resource-name.png" alt-text="A screenshot showing the Grounding with Bing Search resource name. " lightbox="../../media/tools/deep-research/bing-resource-name.png":::
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Save this endpoint to an environment variable named `BING_RESOURCE_NAME`.
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Save this endpoint to an environment variable named `PROJECT_ENDPOINT`.
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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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> [!NOTE]
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> Other GPT-series models including GPT-4o-mini and the GPT-4.1 series are not supported for scope clarification.
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## Create an agent with the Deep Research tool
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:::zone pivot="csharp"
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* The connection ID for your Grounding with Bing Search resource. You can find it in the Azure AI Foundry portal by selecting **Management center** from the left navigation menu. Then selecting **Connected resources**. Then select your bing resource.
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:::image type="content" source="../../media/tools/deep-research/bing-resource-name.png" alt-text="A screenshot showing the Grounding with Bing Search resource name. " lightbox="../../media/tools/deep-research/bing-resource-name.png":::
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Copy the ID, and save it to an environment variable named `AZURE_BING_CONECTION_ID`.
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:::image type="content" source="../../media/tools/deep-research/bing-id.png" alt-text="A screenshot showing the Grounding with Bing Search ID. " lightbox="../../media/tools/deep-research/bing-id.png":::
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bing-id
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## Create an agent with the Deep Research tool
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>[!NOTE]
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> You need version `1.1.0-beta.4` or later of the `Azure.AI.Agents.Persistent` package, and the `Azure.Identity` package.
* The name of your Grounding with Bing Search resource name. You can find it in the Azure AI Foundry portal by selecting **Management center** from the left navigation menu. Select **Connected resources**, then select your Grounding with Bing Search resource.
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:::image type="content" source="../../media/tools/deep-research/bing-resource-name.png" alt-text="A screenshot showing the Grounding with Bing Search resource name. " lightbox="../../media/tools/deep-research/bing-resource-name.png":::
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Copy the ID, and save it to an environment variable named `AZURE_BING_CONECTION_ID`.
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:::image type="content" source="../../media/tools/deep-research/bing-id.png" alt-text="A screenshot showing the Grounding with Bing Search resource ID. " lightbox="../../media/tools/deep-research/bing-id.png":::
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bing-id
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Save this endpoint to an environment variable named `BING_RESOURCE_NAME`.
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## Create an agent with the Deep Research tool
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> [!NOTE]
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> You need the latest preview version of the `@azure/ai-projects` package.
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@@ -397,6 +413,14 @@ main().catch((err) => {
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:::zone pivot="python"
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* The name of your Grounding with Bing Search resource name. You can find it in the Azure AI Foundry portal by selecting **Management center** from the left navigation menu. Then select **Connected resources**.
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:::image type="content" source="../../media/tools/deep-research/bing-resource-name.png" alt-text="A screenshot showing the Grounding with Bing Search resource name. " lightbox="../../media/tools/deep-research/bing-resource-name.png":::
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Save this endpoint to an environment variable named `BING_RESOURCE_NAME`.
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## Create an agent with the Deep Research tool
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The Deep Research tool requires the latest prerelease versions of the `azure-ai-projects` library. First we recommend creating a [virtual environment](https://docs.python.org/3/library/venv.html) to work in:
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