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ToolReference

dream-team

by Azure-Samples

TypeScript sample composing Autogen-based agent teams with Azure OpenAI

TypeScript
Updated Apr 21, 2026
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What It Does

Demonstrates how to compose a team of AI agents using Autogen patterns and Azure OpenAI services. Provides TypeScript examples for creating role-based agents, routing tasks between specialists, and wiring message flows into a sample app. Includes deployment hints using azd and a UI demo to inspect agent interactions. Supervisor Pattern and A2A Protocol Pattern come into play to structure collaboration, with practical notes on Agent Registry Pattern for keeping track of agents and capabilities.

Why It Matters

As multi-agent systems become more common, clear examples of composition and delegation are essential for trustworthy deployments. This sample shows practical wiring and observability points where reputation and evaluation hooks can be inserted. Until teams standardize how agents hand off work and log outcomes, demos like this provide the reference patterns needed to build agent track records and evaluation pipelines. Emphasizing safety and correct governance, consider Guardrails Pattern as part of the deployment approach.

Ideal For

Developers prototyping multi-agent workflows on Azure who want concrete TypeScript examples for routing, role-based agents, and deployment patterns. See how the Agent Registry Pattern helps manage agent capabilities, and how the combination of routing and handoffs can align with best practices.

Applications

  • Prototype role-based agents that delegate subtasks to specialists
  • Instrument agent interactions to capture logs and handoff metadata for downstream evaluation
  • Deploy example multi-agent flows on Azure using azd and inspect behavior via the sample UI
Works With
autogen
Topics
autogenazdazureazureopenaistreamlit
Similar Tools
autogenlangchain agents
Keywords
multi-agent orchestrationagent delegationazureopenai