Create An Agent Using Microsoft Foundry (Azure AI) – Multi Agent Scenario

 Create An Agent Using Microsoft Foundry (Azure AI) – Multi Agent Scenario

This is a continuation of the previous article

We will use same scenario but split the tasks amongst various agents by the orchestrator.

The orchestrator:

Contoso HR Multi Agent: The agent orchestrator. It controls the execution of tasks and decides which agent(s) to invoke to execute the task.

The Utility or Worker Agents:

a. Company_values_conduct_Agent: Handles topic or question on Contoso Electronics values and conduct.

b. Empl_rights_workplace_safety_Agent: Handles topic or question on Contoso Electronics employee´s right and workplace safety.

c. Health_wellness_benefits_Agent: Handles topics or questions on health and wellness benefits in Contoso Electronics.

d. JD_Resp_Agent: Handle topic or question on Job description and Responsibilities in Contoso Electronics.

e. Perf_review_process_Agent: Handles topic or question on performance review process in Contoso Electronics.

Testing the Multi Agent.

Notice the orchestrator is consulting the worker agents to get the answer. It routes the question to the responsible agent(s) for answer.

Grounded Answer below:

Next article will be on a simple demonstration of creating an Agent using MCP. A good use case when your agent need to fetch resources from an external source.