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Merge pull request #31163 from MicrosoftDocs/main
[AutoPublish] main to live - 03/20 15:39 PDT | 03/21 04:09 IST
2 parents afb9672 + c2aa47f commit 66947ef

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.github/workflows/AutoIssueAssign.yml

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issues: write
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on:
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# schedule:
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# - cron: "0 9 1 * *"
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schedule:
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- cron: "26 21 * * *"
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workflow_dispatch:
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stale-branch:
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if: github.repository_owner == 'MicrosoftDocs'
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uses: MicrosoftDocs/max-cpub-test/.github/workflows/Shared-AutoIssueAssign.yml@main
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uses: MicrosoftDocs/microsoft-365-docs/.github/workflows/Shared-AutoIssueAssign.yml@workflows-prod
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with:
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PayloadJson: ${{ toJSON(github) }}
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ExcludedUserList: '["user1", "user2"]'

copilot/employee-self-service/agent-handoff.md

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audience: Admin
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ms.topic: article
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ms.service: microsoft-365-copilot
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### Locate the GPT ID of an agent
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You need the GPT ID for Step 3 of [How to use the Sample Template:](#how-to-use-the-sample-template). To identify the GPT ID of your Copilot Agent in Microsoft 365 Chat, follow these steps:
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You need the GPT ID for Step 3 of [How to use the Sample Template](#how-to-use-the-sample-template). To identify the GPT ID of your Copilot Agent in Microsoft 365 Chat, follow these steps:
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1. **Open Developer Tools**
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1. In your browser, open the Microsoft 365 Chat experience.

copilot/employee-self-service/auditing-logging.md

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audience: Admin
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copilot/employee-self-service/customize.md

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### Instructions
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LLM (Large Language Model) experiences can be shaped using natural language to use system prompt techniques that influence Employee Self-Service agent reasoning and behaviors. Instructions can be applied to the overall agent, to knowledge sources, to topics, and when publishing to Teams and Microsoft 365 Copilot. In addition, you can include dynamic variables (for example, specific user profile attributes) to further direct and ground the agent for more personalized responses.[Learn more](/microsoft-copilot-studio/knowledge-copilot-studio) about knowledge sources.
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LLM (Large Language Model) experiences can be shaped using natural language to use system prompt techniques that influence Employee Self-Service agent reasoning and behaviors. Instructions can be applied to the overall agent, to knowledge sources, to topics, and when publishing to Teams and Microsoft 365 Copilot. In addition, you can include dynamic variables (for example, specific user profile attributes) to further direct and ground the agent for more personalized responses. [Learn more](/microsoft-copilot-studio/knowledge-copilot-studio) about knowledge sources.
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## Response quality
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copilot/employee-self-service/deploy-overview-alm.md

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copilot/employee-self-service/deployment-checklist.md

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copilot/employee-self-service/design-best-practices.md

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copilot/employee-self-service/emotional-quotient-ambiguity.md

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copilot/employee-self-service/employee-self-service-multilingual.md

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copilot/employee-self-service/evaluations.md

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