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Merge pull request #3227 from sdgilley/sdg-freshness-update
Freshness update - sdk-overview
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articles/ai-studio/how-to/develop/sdk-overview.md

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ms.topic: overview
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ms.date: 11/25/2024
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ms.date: 02/27/2025
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ms.reviewer: dantaylo
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ms.author: sgilley
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author: sdgilley
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# The Azure AI Foundry SDK
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The Azure AI Foundry SDK is a comprehensive toolchain designed to simplify the development of AI applications on Azure. It enables developers to:
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The [Azure AI Foundry](https://ai.azure.com) SDK is a comprehensive toolchain designed to simplify the development of AI applications on Azure. It enables developers to:
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- Access popular models from various model providers through a single interface
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- Easily combine together models, data, and AI services to build AI-powered applications
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Copy the **Project connection string** from the **Overview** page of the project and update the connections string value above.
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Once you have created the project client, you can use the client for the capabilities in the following sections.
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Once you create the project client, you can use the client for the capabilities in the following sections.
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::: zone pivot="programming-language-python"
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## Azure OpenAI Service
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The [Azure OpenAI Service](../../../ai-services/openai/overview.md) provides access to OpenAI's models including the GPT-4o, GPT-4o mini, GPT-4, GPT-4 Turbo with Vision, DALLE-3, Whisper, and Embeddings model series with the data residency, scalability, safety, security and enterprise capabilities of Azure.
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The [Azure OpenAI Service](../../../ai-services/openai/overview.md) provides access to OpenAI's models including the GPT-4o, GPT-4o mini, GPT-4, GPT-4 Turbo with Vision, DALLE-3, Whisper, and Embeddings model series with the data residency, scalability, safety, security, and enterprise capabilities of Azure.
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If you have code that uses the OpenAI SDK, you can easily target your code to use the Azure OpenAI service. First, install the OpenAI SDK:
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## Prompt Templates
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## Prompt templates
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The inferencing client supports for creating prompt messages from templates. The template allows you to dynamically generate prompts using inputs that are available at runtime.
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The inferencing client supports creating prompt messages from templates. The template allows you to dynamically generate prompts using inputs that are available at runtime.
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To use prompt templates, install the `azure-ai-inference` package:
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## Azure AI Agent Service
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Azure AI Agent Service is a fully managed service designed to empower developers to securely build, deploy, and scale high-quality, and extensible AI agents. Using an extensive ecosystem of models, tools and capabilities from OpenAI, Microsoft, and third-party providers, [Azure AI Agent Service](/azure/ai-services/agents) enables building agents for a wide range of generative AI use cases.
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Azure AI Agent Service is a fully managed service designed to empower developers to securely build, deploy, and scale high-quality, and extensible AI agents. To enable building agents for a wide range of generative AI use cases, [Azure AI Agent Service](/azure/ai-services/agents) uses an extensive ecosystem of models, tools and capabilities from OpenAI, Microsoft, and third-party providers.
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## Evaluation
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An Azure AI evaluation package is not yet available for C#. For a sample on how to use Prompty and Semantic Kernel for evaluation, see the [contoso-chat-csharp-prompty](https://github.com/Azure-Samples/contoso-chat-csharp-prompty/blob/main/src/ContosoChatAPI/ContosoChat.Evaluation.Tests/Evalutate.cs) sample.
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An Azure AI evaluation package isn't yet available for C#. For a sample on how to use Prompty and Semantic Kernel for evaluation, see the [contoso-chat-csharp-prompty](https://github.com/Azure-Samples/contoso-chat-csharp-prompty/blob/main/src/ContosoChatAPI/ContosoChat.Evaluation.Tests/Evalutate.cs) sample.
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Tracing is not yet integrated into the projects package. For instructions on how to instrument and log traces from the Azure AI Inferencing package, see [azure-sdk-for-dotnet](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/ai/Azure.AI.Inference/samples/Sample8_ChatCompletionsWithOpenTelemetry.md).
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Tracing isn't yet integrated into the projects package. For instructions on how to instrument and log traces from the Azure AI Inferencing package, see [azure-sdk-for-dotnet](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/ai/Azure.AI.Inference/samples/Sample8_ChatCompletionsWithOpenTelemetry.md).
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## Related content
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## Other services and frameworks
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Below are some helpful links to other services and frameworks that you can use with the Azure AI Foundry SDK.
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The following sections provide helpful links to other services and frameworks that you can use with the Azure AI Foundry SDK.
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### Azure AI Services
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Client libraries:
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* Client libraries:
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* [Azure AI services SDKs](../../../ai-services/reference/sdk-package-resources.md?context=/azure/ai-studio/context/context)
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* [Azure AI services REST APIs](../../../ai-services/reference/rest-api-resources.md?context=/azure/ai-studio/context/context)
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* [Azure AI services SDKs](../../../ai-services/reference/sdk-package-resources.md?context=/azure/ai-studio/context/context)
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* [Azure AI services REST APIs](../../../ai-services/reference/rest-api-resources.md?context=/azure/ai-studio/context/context)
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Management libraries:
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* [Azure AI Services Python Management Library](/python/api/overview/azure/mgmt-cognitiveservices-readme)
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* [Azure AI Search Python Management Library](/python/api/azure-mgmt-search/azure.mgmt.search)
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* Management libraries:
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* [Azure AI Services Python Management Library](/python/api/overview/azure/mgmt-cognitiveservices-readme)
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* [Azure AI Search Python Management Library](/python/api/azure-mgmt-search/azure.mgmt.search)
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### Frameworks
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Azure Machine Learning
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* Azure Machine Learning
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* [Azure Machine Learning Python SDK (v2)](/python/api/overview/azure/ai-ml-readme)
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* [Azure Machine Learning CLI (v2)](/azure/machine-learning/how-to-configure-cli)
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* [Azure Machine Learning REST API](/rest/api/azureml)
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* [Azure Machine Learning Python SDK (v2)](/python/api/overview/azure/ai-ml-readme)
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* [Azure Machine Learning CLI (v2)](/azure/machine-learning/how-to-configure-cli)
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* [Azure Machine Learning REST API](/rest/api/azureml)
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* Prompt flow
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Prompt flow
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* [Prompt flow SDK](https://microsoft.github.io/promptflow/how-to-guides/quick-start.html)
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* [pfazure CLI](https://microsoft.github.io/promptflow/reference/pfazure-command-reference.html)
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* [pfazure Python library](https://microsoft.github.io/promptflow/reference/python-library-reference/promptflow-azure/promptflow.azure.html)
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* [Prompt flow SDK](https://microsoft.github.io/promptflow/how-to-guides/quick-start.html)
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* [pfazure CLI](https://microsoft.github.io/promptflow/reference/pfazure-command-reference.html)
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* [pfazure Python library](https://microsoft.github.io/promptflow/reference/python-library-reference/promptflow-azure/promptflow.azure.html)
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* Semantic Kernel
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* [Semantic Kernel Overview](/semantic-kernel/overview/)
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Semantic Kernel
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* [Semantic Kernel Overview](/semantic-kernel/overview/)
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Agentic frameworks
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* Agentic frameworks
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* [LlamaIndex](llama-index.md)
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* [LlamaIndex](llama-index.md)

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