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Merge pull request #2123 from eric-urban/eur/aoai
[SCOPED] Azure OpenAI Service instead of acronym
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articles/ai-services/agents/how-to/use-your-own-resources.md

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Use this article if you want to use the Azure Agent Service with resources you already have.
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> [!NOTE]
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> If you use an existing AI Services/AOAI resource, no model will be deployed. You can deploy a model to the resource after the agent setup is complete.
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> If you use an existing AI Services / Azure OpenAI Service resource, no model will be deployed. You can deploy a model to the resource after the agent setup is complete.
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## Choose basic or standard agent setup
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articles/ai-services/openai/concepts/provisioned-throughput.md

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|Max Output TPM per PTU| 833|12,333|
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|Latency Target Value |25 Tokens Per Second|33 Tokens Per Second|
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For a full list see the [AOAI in Azure AI Foundry calculator](https://oai.azure.com/portal/calculator).
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For a full list see the [Azure OpenAI Service in Azure AI Foundry portal calculator](https://oai.azure.com/portal/calculator).
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> [!NOTE]

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

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|`model_not_found`|The Azure OpenAI model deployment name that was specified in the `model` property of the input file wasn't found.<br><br> Please ensure this name points to a valid Azure OpenAI model deployment.|
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| `duplicate_custom_id` | The custom ID for this request is a duplicate of the custom ID in another request. |
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|`empty_batch` | Please check your input file to ensure that the custom ID parameter is unique for each request in the batch.|
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|`model_mismatch`| The Azure OpenAI model deployment name that was specified in the `model` property of this request in the input file doesn't match the rest of the file.<br><br>Please ensure that all requests in the batch point to the same AOAI model deployment in the `model` property of the request.|
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|`model_mismatch`| The Azure OpenAI model deployment name that was specified in the `model` property of this request in the input file doesn't match the rest of the file.<br><br>Please ensure that all requests in the batch point to the same Azure OpenAI Service model deployment in the `model` property of the request.|
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|`invalid_request`| The schema of the input line is invalid or the deployment SKU is invalid. <br><br>Please ensure the properties of the request in your input file match the expected input properties, and that the Azure OpenAI deployment SKU is `globalbatch` for batch API requests.|
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### Known issues

articles/ai-services/openai/how-to/chat-markup-language.md

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* [Learn more about Azure OpenAI](../overview.md).
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* Get started with the GPT-35-Turbo model with [the GPT-35-Turbo & GPT-4 quickstart](../chatgpt-quickstart.md).
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* For more examples, check out the [Azure OpenAI Samples GitHub repository](https://aka.ms/AOAICodeSamples)
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* For more examples, check out the [Azure OpenAI Samples GitHub repository](https://github.com/Azure-Samples/openai)

articles/ai-services/openai/how-to/provisioned-get-started.md

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## Run a benchmark
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The exact performance and throughput capabilities of your instance depends on the kind of requests you make and the exact workload. The best way to determine the throughput for your workload is to run a benchmark on your own data.
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To assist you in this work, the benchmarking tool provides a way to easily run benchmarks on your deployment. The tool comes with several possible preconfigured workload shapes and outputs key performance metrics. Learn more about the tool and configuration settings in our GitHub Repo: [https://aka.ms/aoai/benchmarking](https://aka.ms/aoai/benchmarking).
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To assist you in this work, the benchmarking tool provides a way to easily run benchmarks on your deployment. The tool comes with several possible preconfigured workload shapes and outputs key performance metrics. Learn more about the tool and configuration settings in our GitHub Repo: [https://github.com/Azure/azure-openai-benchmark](https://github.com/Azure/azure-openai-benchmark).
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We recommend the following workflow:
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1. Estimate your throughput PTUs using the capacity calculator.

articles/ai-services/openai/how-to/switching-endpoints.yml

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- text: Learn more about how to work with chat completions models with our how-to guide
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url: ../how-to/chatgpt.md
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- text: For more examples, check out the Azure OpenAI Samples GitHub repository
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url: https://aka.ms/AOAICodeSamples
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url: https://github.com/Azure-Samples/openai
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# Learn more about how to work with GPT-35-Turbo and the GPT-4 models with [our how-to guide](../how-to/chatgpt.md).
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# For more examples, check out the [Azure OpenAI Samples GitHub repository](https://aka.ms/AOAICodeSamples)
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# For more examples, check out the [Azure OpenAI Samples GitHub repository](https://github.com/Azure-Samples/openai)

articles/ai-services/openai/how-to/use-web-app.md

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If using an embedding model deployed to the same resource as your model used for inference, there are no other settings changes required.
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However, if you're using an embedding model deployed to a different resource, make the following extra changes to your app's environment variables:
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* Set `AZURE_OPENAI_EMBEDDING_ENDPOINT` variable to the full API path of the embedding API for the resource you're using for embeddings, for example, `https://<your embedding AOAI resource name>.openai.azure.com/openai/deployments/<your embedding deployment name>/embeddings`
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* Set `AZURE_OPENAI_EMBEDDING_ENDPOINT` variable to the full API path of the embedding API for the resource you're using for embeddings, for example, `https://<your Azure OpenAI Service resource name>.openai.azure.com/openai/deployments/<your embedding deployment name>/embeddings`
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* Delete the `AZURE_OPENAI_EMBEDDING_KEY` variable to use Microsoft Entra ID authentication.
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Once all of the environment variable changes are completed, restart the webapp to begin using Microsoft Entra ID authentication between services in the webapp. It will take a few minutes after restarting for any settings changes to take effect.

articles/ai-services/openai/includes/chat-completion.md

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* [Learn more about Azure OpenAI](../overview.md).
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* Get started with the GPT-35-Turbo model with [the GPT-35-Turbo quickstart](../chatgpt-quickstart.md).
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* For more examples, see the [Azure OpenAI Samples GitHub repository](https://aka.ms/AOAICodeSamples).
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* For more examples, see the [Azure OpenAI Samples GitHub repository](https://github.com/Azure-Samples/openai).

articles/ai-services/openai/includes/chat-go.md

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## Next steps
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For more examples, check out the [Azure OpenAI Samples GitHub repository](https://aka.ms/AOAICodeSamples)
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For more examples, check out the [Azure OpenAI Samples GitHub repository](https://github.com/Azure-Samples/openai)

articles/ai-services/openai/includes/chatgpt-dotnet.md

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## Next steps
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* For more examples, check out the [Azure OpenAI Samples GitHub repository](https://aka.ms/AOAICodeSamples)
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* For more examples, check out the [Azure OpenAI Samples GitHub repository](https://github.com/Azure-Samples/openai)

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