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Copilot (licence) - Configure a child agent Tutorial

Explore how to configure a child agent and orchestrate a coordinated service center. Learn to name the agent, set call conditions, and trigger rules such as message reception, activity types, conversation updates, and inactivity handoffs. See how inputs/outputs can be customized, including date extraction and advanced validation, to create a truly intelligent, well-coordinated assistant. A practical guide to expanding capabilities via inter-agent connections and precise input handling.

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Parteger

Available in AI - Artificial Intelligence

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Imagine a technical support agent performing triage,

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redirecting the user towards specialized agents.

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By clicking add,

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you can connect to an agent already available in your environment,

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provided this option has been enabled in the settings.

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Or to external agents through Microsoft Fabric,

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Microsoft Foundry,

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Microsoft 365 agents SDK,

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or the agent to agent protocol.

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We will now create a child agent.

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Just like a general assistant,

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you must configure a name,

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but above all define the situations in which

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the main agent will call this child agent.

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Assistant chooses

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triggered based on the description of the child agent.

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A message is received,

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triggered when a message activity,

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the most common type,

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is received.

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A custom client event occurs,

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triggered when an event type activity is received.

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An activity occurs,

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triggered when any type of activity is received.

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The conversation changes

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triggered when a conversation update activity is received.

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It's invoked,

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triggered when a calling activity is received.

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It is redirected to

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triggered when the assistant is explicitly called from a topic.

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The user is inactive for a while,

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the agent takes over if no interaction is detected after a defined period.

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A plan completes

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triggered when the main assistant finishes executing all planned

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steps for a user request or an autonomous trigger.

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An AI generated response is about to be sent

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triggered when the assistant generates the final message intended for the user

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after consulting the necessary topics,

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tools,

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or knowledge sources.

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Each criterion also includes advanced settings

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such as conditions and prioritization.

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Most other criteria are identical to those used for the assistance instructions,

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knowledge sources,

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or tools.

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What makes a child agent different is the inputs and completion.

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By default,

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it receives a natural language task from the main agent.

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Once its mission is completed,

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it returns a natural language summary of what it accomplished.

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However,

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you can specify more precise input and output data.

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For example,

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if your child agent requires a date,

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and the main agent has not provided it,

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the child agent will ask the user directly to identify it as an entity.

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In the advanced section you can customize the interaction,

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the number of attempts to request information,

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whether additional validation is needed,

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or the procedure to follow if no valid data is found.

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Completion allows you to choose what the agent outputs.

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In our example,

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it can extract a date from the corresponding entity.

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Once completed,

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simply save the child agent to make it available.

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The list of assistants will then be displayed,

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and they can be modified or deactivated later.

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Child agent orchestration is the key to transforming your assistant

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into a truly intelligent

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and perfectly coordinated service center.

Mandarine AI: WHAT YOU SHOULD KNOW

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