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

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ms.service: azure-ai-openai
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ms.custom: references_regions
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ms.topic: how-to
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ms.date: 01/28/2025
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ms.date: 04/29/2025
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author: aahill
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ms.author: aahi
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recommendations: false
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There are a few details you should note from the configuration above:
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- We enable this assistant to access code interpreter with the line `tools=[{"type": "code_interpreter"}],`. This gives the model access to a sand-boxed python environment to run and execute code to help formulating responses to a user's question.
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- In the instructions we remind the model that it can execute code. Sometimes the model needs help guiding it towards the right tool to solve a given query. If you know you want to use a particular library to generate a certain response that you know is part of code interpreter, it can help to provide guidance by saying something like "Use Matplotlib to do x."
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- In the instructions we remind the model that it can execute code. Sometimes the model needs help with guiding it towards the right tool to solve a given query. If you know you want to use a particular library to generate a certain response that you know is part of code interpreter, it can help to provide guidance by saying something like "Use Matplotlib to do x."
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- Since this is Azure OpenAI the value you enter for `model=` **must match the deployment name**.
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Next we're going to print the contents of assistant that we just created to confirm that creation was successful:

articles/ai-services/openai/how-to/assistants-logic-apps.md

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1. Your workflow is required to have a Request trigger to generate a REST endpoint, and a response action to return the response to Azure AI Foundry when this workflow is invoked.
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1. Add a trigger [(Request)](/azure/connectors/connectors-native-reqres?tabs=consumption)
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Select **Add a trigger** and then search for request trigger. Select the **When a HTTP request is received** operation.
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Select **Add a trigger** and then search for request trigger. Select the **When an HTTP request is received** operation.
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:::image type="content" source="..\media\how-to\assistants\logic-apps\create-logic-app-1.png" alt-text="A screenshot showing the Logic Apps designer." lightbox="..\media\how-to\assistants\logic-apps\create-logic-app-1.png":::
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articles/ai-services/openai/how-to/on-your-data-best-practices.md

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description: Learn about the best practices for using Azure OpenAI On Your Data, along with how to fix common problems.
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ms.topic: conceptual
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* It's possible that a correct document chunk wasn't part of the `topNDocuments` parameter. In this case, increase the parameter.
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* It's possible that your index fields are incorrectly mapped, so retrieval might not work well. This mapping is particularly relevant if you're using a pre-existing data source. (That is, you didn't create the index by using the studio or offline scripts available on [GitHub](https://github.com/microsoft/sample-app-aoai-chatGPT/tree/main/scripts).) For more information on mapping index fields, see the [how-to article](../concepts/use-your-data.md?tabs=ai-search#index-field-mapping).
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* It's possible that your index fields are incorrectly mapped, so retrieval might not work well. This mapping is particularly relevant if you're using a preexisting data source. (That is, you didn't create the index by using the studio or offline scripts available on [GitHub](https://github.com/microsoft/sample-app-aoai-chatGPT/tree/main/scripts).) For more information on mapping index fields, see the [how-to article](../concepts/use-your-data.md?tabs=ai-search#index-field-mapping).
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* It's possible that the intent generation step isn't working well. In the API response, check the `intents` fields in the `tool` message.
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articles/ai-services/openai/use-your-data-quickstart.md

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recommendations: false
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zone_pivot_groups: openai-use-your-data
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---

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