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articles/ai-studio/how-to/develop/trace-local-sdk.md

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[!INCLUDE [feature-preview](../../includes/feature-preview.md)]
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Tracing is a powerful tool that offers developers an in-depth understanding of the execution process of their generative AI applications. It provides a detailed view of the execution flow, including the inputs and outputs of each node within the application. This essential information proves critical while debugging complex applications or optimizing performance.
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Tracing with the Azure AI SDK offers enhanced visibility and simplified troubleshooting for LLM-based applications, effectively supporting development, iteration, and production monitoring. Tracing follows the OpenTelemetry specification, capturing and visualizing the internal execution details of any AI application, enhancing the overall development experience. The Azure AI Inference client library provides experimental support for tracing with OpenTelemetry.
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In this article you will learn how to trace your application with Azure AI Inference SDK with your choice between using Python, JavaScript, or C#. The Azure AI Inference client library provides experimental support for tracing with OpenTelemetry.
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## Enable trace in your application
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