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Update duration estimates in YAML files and remove unnecessary whitespace in markdown files
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learn-pr/wwl-azure/develop-ai-enabled-apps-using-github-copilot-sdk/10-summary.yml

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author: chrishowd
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ms.author: cahowd
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ms.topic: unit
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durationInMinutes: 3
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durationInMinutes: 2
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content: |
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[!include[](includes/10-summary.md)]

learn-pr/wwl-azure/develop-ai-enabled-apps-using-github-copilot-sdk/2-what-ai-agent.yml

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author: chrishowd
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durationInMinutes: 6
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durationInMinutes: 4
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[!include[](includes/2-what-ai-agent.md)]

learn-pr/wwl-azure/develop-ai-enabled-apps-using-github-copilot-sdk/3-what-github-copilot-sdk.yml

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author: chrishowd
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durationInMinutes: 10
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durationInMinutes: 8
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[!include[](includes/3-what-github-copilot-sdk.md)]

learn-pr/wwl-azure/develop-ai-enabled-apps-using-github-copilot-sdk/4-examine-ai-agent-use-cases.yml

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durationInMinutes: 5
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[!include[](includes/4-examine-ai-agent-use-cases.md)]

learn-pr/wwl-azure/develop-ai-enabled-apps-using-github-copilot-sdk/5-design-ai-agents.yml

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author: chrishowd
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durationInMinutes: 8
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durationInMinutes: 7
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[!include[](includes/5-design-ai-agents.md)]

learn-pr/wwl-azure/develop-ai-enabled-apps-using-github-copilot-sdk/8-exercise-integrate-ai-agent-github-copilot-sdk.yml

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author: chrishowd
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durationInMinutes: 60
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[!include[](includes/8-exercise-integrate-ai-agent-github-copilot-sdk.md)]

learn-pr/wwl-azure/develop-ai-enabled-apps-using-github-copilot-sdk/includes/5-design-ai-agents.md

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- **Policies**: What rules must the agent follow? Encode these as system prompt instructions, tool handler validations, or session hook logic.
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You also need to plan for failure modes. If a tool call fails, should the agent retry, try an alternative approach, or escalate? These decisions can be encoded in the system prompt ("if a tool returns an error, inform the user and offer alternatives") or handled programmatically in error-handling hooks.
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learn-pr/wwl-azure/develop-ai-enabled-apps-using-github-copilot-sdk/includes/6-implement-ai-agents-github-copilot-sdk.md

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```
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The `DeltaContent` property contains the incremental text fragment. Streaming provides a more responsive experience because users see the response as it forms, rather than waiting for the model to generate the entire message.
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