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articles/ai-foundry/how-to/develop/trace-production-sdk.md

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ms.custom:
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- build-2024
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ms.topic: how-to
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ms.date: 02/14/2025
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ms.date: 06/19/2025
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ms.reviewer: none
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ms.author: lagayhar
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author: lgayhardt
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ms.collection: ce-skilling-ai-copilot, ce-skilling-fresh-tier1
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ms.update-cycle: 180-days
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---
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# Enable tracing and collect feedback for a flow deployment

articles/machine-learning/.openpublishing.redirection.machine-learning.json

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"source_path_from_root": "/articles/machine-learning/v1/how-to-machine-learning-interpretability-automl.md",
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"redirect_url": "/azure/machine-learning/how-to-machine-learning-interpretability",
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"redirect_document_id": false
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},
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{
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"source_path_from_root": "/articles/machine-learning/prompt-flow/how-to-trace-local-sdk.md",
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"redirect_url": "/azure/ai-foundry/how-to/develop/trace-application",
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"redirect_document_id": false
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}
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]
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}

articles/machine-learning/prompt-flow/how-to-trace-local-sdk.md

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articles/machine-learning/toc.yml

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href: ./prompt-flow/how-to-integrate-with-llm-app-devops.md
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- name: Deploy a flow to online endpoint for real-time inference with CLI
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href: ./prompt-flow/how-to-deploy-to-code.md
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- name: Trace your application with prompt flow
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href: ./prompt-flow/how-to-trace-local-sdk.md
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- name: Enable trace and collect feedback for a flow deployment
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href: ./prompt-flow/how-to-enable-trace-feedback-for-deployment.md
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- name: How to use streaming endpoints deployed from prompt flow

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