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Copy file name to clipboardExpand all lines: articles/ai-services/agents/how-to/tools/fabric.md
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@@ -37,7 +37,6 @@ You need to first build and publish a Fabric data agent and then connect your Fa
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## Setup
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> [!NOTE]
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> * The model you selected in Azure AI Agent setup is only used for agent orchestration and response generation. It doesn't impact which model Fabric data agent uses for NL2SQL operation.
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> * Supported regions: `westus`, `japaneast`.
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1. Create an Azure AI Agent by following the steps in the [quickstart](../../quickstart.md).
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1. Create and publish a [Fabric data agent](https://go.microsoft.com/fwlink/?linkid=2312910)
Copy file name to clipboardExpand all lines: articles/ai-services/openai/how-to/batch.md
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@@ -34,7 +34,7 @@ Key use cases include:
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***Marketing and Personalization:** Generate personalized content and recommendations at scale.
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> [!IMPORTANT]
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> We aim to process batch requests within 24 hours; we do not expire the jobs that take longer. You can [cancel](#cancel-batch) the job anytime. When you cancel the job, any remaining work is cancelled and any already completed work is returned. You will be charged for any completed work.
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> We aim to process batch requests within 24 hours; we don't expire the jobs that take longer. You can [cancel](#cancel-batch) the job anytime. When you cancel the job, any remaining work is cancelled and any already completed work is returned. You'll be charged for any completed work.
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>
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> Data stored at rest remains in the designated Azure geography, while data may be processed for inferencing in any Azure OpenAI location. [Learn more about data residency](https://azure.microsoft.com/explore/global-infrastructure/data-residency/).
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@@ -77,9 +77,10 @@ Refer to the [models page](../concepts/models.md) for the most up-to-date inform
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|| API Version |
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|---|---|
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|**Latest GA API release:**|`2024-10-21`|
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|**Latest Preview API release:**|`2025-01-01-preview`|
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|**Latest Preview API release:**|`2025-03-01-preview`|
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Support first added in: `2024-07-01-preview`
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> [!NOTE]
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> While Global Batch supports older API versions, some models require newer preview API versions. For example, `o3-mini` isn't supported with `2024-10-21` since it was released after this date. To access the newer models with global batch use the latest preview API version.
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### Feature support
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- Resources deployed with Azure CLI won't work out-of-box with Azure OpenAI global batch. This is due to an issue where resources deployed using this method have endpoint subdomains that don't follow the `https://your-resource-name.openai.azure.com` pattern. A workaround for this issue is to deploy a new Azure OpenAI resource using one of the other common deployment methods which will properly handle the subdomain setup as part of the deployment process.
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- UTF-8-BOM encoded `jsonl` files are not supported. JSON lines files should be encoded using UTF-8. Use of Byte-Order-Mark (BOM) encoded files is not officially supported by the JSON RFC spec, and Azure OpenAI will currently treat BOM encoded files as invalid. A UTF-8-BOM encoded file will currently return the generic error message: "Validation failed: A valid model deployment name could not be extracted from the input file. Please ensure that each row in the input file has a valid deployment name specified in the 'model' field, and that the deployment name is consistent across all rows."
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- UTF-8-BOM encoded `jsonl` files aren't supported. JSON lines files should be encoded using UTF-8. Use of Byte-Order-Mark (BOM) encoded files isn't officially supported by the JSON RFC spec, and Azure OpenAI will currently treat BOM encoded files as invalid. A UTF-8-BOM encoded file will currently return the generic error message: "Validation failed: A valid model deployment name couldn't be extracted from the input file. Please ensure that each row in the input file has a valid deployment name specified in the 'model' field, and that the deployment name is consistent across all rows."
Once your file has uploaded successfully you can submit the file for batch processing.
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```http
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curl -X POST https://YOUR_RESOURCE_NAME.openai.azure.com/openai/batches?api-version=2024-10-21 \
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curl -X POST https://YOUR_RESOURCE_NAME.openai.azure.com/openai/batches?api-version=2025-03-01-preview \
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-H "api-key: $AZURE_OPENAI_API_KEY" \
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-H "Content-Type: application/json" \
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-d '{
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Once you have created batch job successfully you can monitor its progress either in the Studio or programatically. When checking batch job progress we recommend waiting at least 60 seconds in between each status call.
Cancels an in-progress batch. The batch will be in status `cancelling` for up to 10 minutes, before changing to `cancelled`, where it will have partial results (if any) available in the output file.
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```http
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curl -X POST https://YOUR_RESOURCE_NAME.openai.azure.com/openai/batches/{batch_id}/cancel?api-version=2024-10-21 \
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curl -X POST https://YOUR_RESOURCE_NAME.openai.azure.com/openai/batches/{batch_id}/cancel?api-version=2025-03-01-preview \
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-H "api-key: $AZURE_OPENAI_API_KEY"
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```
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List existing batch jobs for a given Azure OpenAI resource.
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