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articles/machine-learning/prompt-flow/how-to-integrate-with-llm-app-devops.md

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@@ -106,7 +106,7 @@ To edit files locally in VS Code with the Prompt flow extension:
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1. Use the editor to make changes to your flow, such as tuning the prompts in variants or adding more nodes.
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:::image type="content" source="./media/how-to-integrate-with-llm-app-devops/cloud-run-compare.png" alt-text="Screenshot of the visual prompt flow editor in VS Code." lightbox = "./media/how-to-integrate-with-llm-app-devops/cloud-run-compare.png":::
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:::image type="content" source="./media/how-to-integrate-with-llm-app-devops/flow-test-output.png" alt-text="Screenshot of the visual prompt flow editor in VS Code." lightbox = "./media/how-to-integrate-with-llm-app-devops/flow-test-output.png":::
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1. To test your flow, select the **Run** icon at the top of the visual editor to trigger a flow test.
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The return values are the test logs and outputs.
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:::image type="content" source="./media/how-to-integrate-with-llm-app-devops/flow-test-output.png" alt-text="Screenshot of the flow test output in Python. " lightbox = "./media/how-to-integrate-with-llm-app-devops/flow-test-output.png":::
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The following screenshot shows example
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:::image type="content" source="./media/how-to-integrate-with-llm-app-devops/flow-test-output-cli.png" alt-text="Screenshot of the flow test output in PowerShell." lightbox = "./media/how-to-integrate-with-llm-app-devops/flow-test-output-cli.png":::
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<a name="submitting-runs-to-the-cloud-from-local-repository"></a>
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### Submit runs to the cloud from a local repository
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