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Copy file name to clipboardExpand all lines: articles/ai-services/language-service/concepts/developer-guide.md
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@@ -6,13 +6,13 @@ author: laujan
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manager: nitinme
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ms.service: azure-ai-language
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ms.topic: conceptual
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ms.date: 11/21/2024
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ms.date: 06/04/2025
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ms.author: lajanuar
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---
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# SDK and REST developer guide for the Language service
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Use this article to find information on integrating the Language service SDKs and REST API into your applications.
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Use this article to find information on integrating the Language service SDK and REST API into your applications.
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## Development options
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## Client libraries (Azure SDK)
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The Language service provides three namespaces for using the available features. Depending on which features and programming language you're using, you will need to download one or more of the following packages, and have the following framework/language version support:
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The Language service provides three namespaces for using the available features. Depending on which features and programming language you're using, you'll need to download one or more of the following packages, and have the following framework/language version support:
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|Framework/Language | Minimum supported version |
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|---------|---------|
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|.NET | .NET Framework 4.6.1 or newer, or .NET (formerly .NET Core) 2.0 or newer. |
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|Java |v8 or later |
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|JavaScript | v14 LTS or later |
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|Python| v3.7 or later |
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|.NET | .NET Framework `4.6.1` or newer, or .NET (formerly .NET Core) `2.0` or newer. |
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|Java |`v8` or later |
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|JavaScript |`v14 LTS` or later |
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|Python|`v3.7` or later |
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### Azure.AI.TextAnalytics
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> *[Custom named entity recognition](../custom-named-entity-recognition/quickstart.md)
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> *[Custom text classification](../custom-text-classification/quickstart.md)
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The `Azure.AI.TextAnalytics` namespace enables you to use the following Language features. Use the links below for articles to help you send API requests using the SDK.
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The `Azure.AI.TextAnalytics` namespace enables you to use the following Language features. Use the following links for articles to help you send API requests using the SDK.
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*[Custom named entity recognition](../custom-named-entity-recognition/how-to/call-api.md?tabs=client#send-an-entity-recognition-request-to-your-model)
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*[Custom text classification](../custom-text-classification/how-to/call-api.md?tabs=client-libraries#send-a-text-classification-request-to-your-model)
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### Azure.AI.Language.Conversations
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> [!NOTE]
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> If you're using conversational language understanding or orchestration workflow, you will need to create a project and train a model before using the SDK. The SDK only provides the ability to analyze text using models you create. See the following quickstarts for more information.
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> If you're using conversational language understanding or orchestration workflow, you'll need to create a project and train a model before using the SDK. The SDK only provides the ability to analyze text using models you create. See the following quickstarts for more information.
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> *[Conversational language understanding](../conversational-language-understanding/quickstart.md)
The `Azure.AI.Language.Conversations` namespace enables you to use the following Language features. Use the links below for articles to help you send API requests using the SDK.
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The `Azure.AI.Language.Conversations` namespace enables you to use the following Language features. Use the following links for articles to help you send API requests using the SDK.
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*[Conversational language understanding](../conversational-language-understanding/how-to/call-api.md?tabs=azure-sdk#send-a-conversational-language-understanding-request)
Copy file name to clipboardExpand all lines: articles/ai-services/language-service/orchestration-workflow/overview.md
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manager: nitinme
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ms.service: azure-ai-language
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ms.topic: overview
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ms.date: 11/21/2024
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ms.date: 06/04/2025
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ms.author: lajanuar
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ms.custom: language-service-orchestration
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---
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### Enterprise chat bot
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In a large corporation, an enterprise chat bot may handle a variety of employee affairs. It may be able to handle frequently asked questions served by a custom question answering knowledge base, a calendar specific skill served by conversational language understanding, and an interview feedback skill served by LUIS. The bot needs to be able to appropriately route incoming requests to the correct service. Orchestration workflow allows you to connect those skills to one project that handles the routing of incoming requests appropriately to power the enterprise bot.
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In a large corporation, an enterprise chat bot might handle a variety of employee affairs. It might be able to handle frequently asked questions served by a custom question answering knowledge base, a calendar specific skill served by conversational language understanding, and an interview feedback skill served by LUIS. The bot needs to be able to appropriately route incoming requests to the correct service. Orchestration workflow allows you to connect those skills to one project that handles the routing of incoming requests appropriately to power the enterprise bot.
3. If your resource is not yet connected to Azure Search select **Connect to Azure Search**. This will open a new browser tab to **Features** pane of your resource in the Azure portal.
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3. If your resource isn't yet connected to Azure Search select **Connect to Azure Search**. This opens a new browser tab to **Features** pane of your resource in the Azure portal.
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> [!div class="mx-imgBorder"]
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|URL Name|URL Value|
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|--------|---------|
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|Surface Book User Guide |https://download.microsoft.com/download/7/B/1/7B10C82E-F520-4080-8516-5CF0D803EEE0/surface-book-user-guide-EN.pdf|
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|Surface Book User Guide |`https://download.microsoft.com/download/7/B/1/7B10C82E-F520-4080-8516-5CF0D803EEE0/surface-book-user-guide-EN.pdf`|
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The extraction process takes a few moments to read the document and identify questions and answers. Question and answering will determine if the underlying content is structured or unstructured.
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The extraction process takes a few moments to read the document and identify questions and answers. The service determines if the underlying content is structured or unstructured.
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After successfully adding the source, you can then edit the source contents to add more custom question answer sets.
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## Deploy your project
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1. Select the Deploy project icon to enter the deploy project menu.
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1. Select the **Deploy** project icon to enter the deploy project menu.
Create a FAQ Bot with custom question answering and Azure [Bot Service](https://azure.microsoft.com/services/bot-service/) with no code.
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Create an FAQ Bot with custom question answering and Azure [Bot Service](https://azure.microsoft.com/services/bot-service/) with no code.
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In this tutorial, you learn how to:
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* When you make changes to the project and redeploy, you don't need to take further action with the bot. It's already configured to work with the project, and works with all future changes to the project. Every time you publish a project, all the bots connected to it are automatically updated.
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1. In Language Studio, on the custom question answering **Deploy project** page, select the **Create a bot** button.
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1. In [Language Studio](https://language.azure.com/), on the custom question answering **Deploy project** page, select the **Create a bot** button.
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> [!div class="mx-imgBorder"]
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> 
![prmerger-automator[bot]](https://avatars.githubusercontent.com/u/22479449?v=4&size=40){kind=avatar}
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