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‎articles/ai-services/openai/how-to/batch.md

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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` is not 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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‎articles/ai-services/openai/includes/batch/batch-python.md

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@@ -95,7 +95,7 @@ token_provider = get_bearer_token_provider(
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client = AzureOpenAI(
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azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT"),
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azure_ad_token_provider=token_provider,
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api_version="2024-10-21"
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api_version="2025-03-01-preview"
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)
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# Upload a file with a purpose of "batch"
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client = AzureOpenAI(
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api_key=os.getenv("AZURE_OPENAI_API_KEY"),
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api_version="2024-10-21",
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api_version="2025-03-01-preview",
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azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT")
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)
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token = token_credential.get_token('https://cognitiveservices.azure.com/.default')
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endpoint = "https://{YOUR_RESOURCE_NAME}.openai.azure.com/"
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api_version = "2024-10-01-preview"
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api_version = "2025-03-01-preview"
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url = f"{endpoint}openai/batches"
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order = "created_at asc"
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time_filter = lambda: generate_time_filter("past 8 hours")
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api_key = os.getenv("AZURE_OPENAI_API_KEY"),
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endpoint = os.getenv("AZURE_OPENAI_ENDPOINT")
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api_version = "2024-10-01-preview"
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api_version = "2025-03-01-preview"
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url = f"{endpoint}openai/batches"
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order = "created_at asc"
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‎articles/ai-services/openai/includes/batch/batch-rest.md

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@@ -74,7 +74,7 @@ Once your input file is prepared, you first need to upload the file to then be a
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[!INCLUDE [Azure key vault](~/reusable-content/ce-skilling/azure/includes/ai-services/security/azure-key-vault.md)]
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```http
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curl -X POST https://YOUR_RESOURCE_NAME.openai.azure.com/openai/files?api-version=2024-10-21 \
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curl -X POST https://YOUR_RESOURCE_NAME.openai.azure.com/openai/files?api-version=2025-03-01-preview \
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-H "Content-Type: multipart/form-data" \
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-H "api-key: $AZURE_OPENAI_API_KEY" \
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-F "purpose=batch" \
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Depending on the size of your upload file it might take some time before it's fully uploaded and processed. To check on your file upload status run:
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```http
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curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/files/{file-id}?api-version=2024-10-21 \
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curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/files/{file-id}?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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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.
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```http
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curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/batches/{batch_id}?api-version=2024-10-21 \
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curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/batches/{batch_id}?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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## Retrieve batch job output file
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```http
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curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/files/{output_file_id}/content?api-version=2024-10-21 \
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curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/files/{output_file_id}/content?api-version=2025-03-01-preview \
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-H "api-key: $AZURE_OPENAI_API_KEY" > batch_output.jsonl
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```
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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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```http
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curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/batches?api-version=2024-10-21 \
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curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/batches?api-version=2025-03-01-preview \
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-H "api-key: $AZURE_OPENAI_API_KEY"
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```
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Use the REST API to list all batch jobs with additional sorting/filtering options.
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```http
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curl "YOUR_RESOURCE_NAME.openai.azure.com/batches?api-version=2024-10-01-preview&$filter=created_at%20gt%201728773533%20and%20created_at%20lt%201729032733%20and%20status%20eq%20'Completed'&$orderby=created_at%20asc" \
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curl "YOUR_RESOURCE_NAME.openai.azure.com/batches?api-version=2025-03-01-preview&$filter=created_at%20gt%201728773533%20and%20created_at%20lt%201729032733%20and%20status%20eq%20'Completed'&$orderby=created_at%20asc" \
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-H "api-key: $AZURE_OPENAI_API_KEY"
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```
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