The AI Manager: Supervisor Pattern

In a large company assistance tool, you might have hundreds of skills. One agent can't handle them all. The Supervisor Pattern creates a "Front Desk" agent that understands the user's intent and delegates the work to a Specialized Sub-Agent.

1. How it Works

1. User: "I need to file my taxes and book a flight."
2. Supervisor: "This request has two parts. I will send 'taxes' to the Legal Agent and 'flight' to the Travel Agent."
3. Sub-Agents: Perform their specific tasks in isolation.
4. Supervisor: Collects both results and gives the user one clean answer.

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2. Benefits of Delegation

• Security: The "Travel Agent" doesn't need access to your legal documents. You can isolate credentials.
• Expertise: You can give each sub-agent a very specific Knowledge Base.
• Scaling: You can update the "Legal Agent" without touching the "Travel Agent."

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3. Visualizing Delegation

graph TD
    User[Mixed Query] --> S[Supervisor Agent]
    S -->|Delegates| A[Legal Agent]
    S -->|Delegates| B[Travel Agent]
    A --> Res1[Legal Doc]
    B --> Res2[Flight Info]
    Res1 --> S
    Res2 --> S
    S --> Final[Final Combined Answer]

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💡 Guidance for Learners

A Supervisor is just an agent where the "Tools" in its action group are Calls to other Agents. In Bedrock, you can call an agent from another agent's Lambda function.

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Summary

• Supervisors act as traffic controllers.
• Sub-agents are specialized, isolated experts.
• This pattern provides better Security (Access Control).
• Supervisors improve the Modular Design of your AI system.