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A central orchestrator coordinates multiple specialized agents.

Overview

The supervisor pattern uses a hierarchical structure where a central orchestrator acts as a supervisor, managing and coordinating multiple specialized AI agents. The supervisor:
  • Analyzes incoming requests.
  • Breaks down complex tasks.
  • Delegates to appropriate agents.
  • Aggregates and synthesizes results.
  • Delivers unified responses.

When to Use

The supervisor pattern is ideal when:
  • Requests require dynamic agent selection at runtime.
  • Tasks can be decomposed into independent subtasks.
  • Multiple specialists should contribute to responses.
  • You want centralized control over coordination.
  • Conflict resolution between agents is needed.

Good Fit Examples

Architecture

Execution Flow

The Seven Stages

Example Conversation


Configuration Example

For details, see Orchestration Configuration.

Key Capabilities

Modularity

Each agent focuses on a specific domain, making the system easier to build and maintain.

Scalability

Distribute complex tasks across multiple specialized agents.

Specialization

Each agent can use different models, tools, and knowledge optimized for their domain.

Flexibility

The supervisor dynamically selects agents based on request needs.

Fault Tolerance

If one agent fails, others can still complete their tasks.

Benefits

Limitations

Example: Customer Service Assistant