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CodeSignal

Coordinating OpenAI Agents Workflows in TypeScript

via CodeSignal

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Overview

Learn how to build more complex workflows by coordinating multiple agents. This course covers techniques like multi-turn conversations, chaining agent executions, delegating tasks using handoffs, and customizing input flows.

Syllabus

  • Unit 1: Building Multi-Turn Conversations with Agents
    • Capturing and Displaying Conversation History
    • Adding a Follow-Up Message to Conversation History
    • Creating Multi-Turn Conversations with Agents
    • Replace Helper Function with Direct Message Object
  • Unit 2: Chaining Agents for Sequential Workflows
    • Chaining Agents with Raw Text Output
    • Passing Full Conversation Context Between Agents
    • Adding Extra Instructions to Agent Chains
    • Chaining Three Agents for a Travel Planning Workflow
  • Unit 3: Delegating Tasks Between Agents Using Handoffs
    • Creating a Triage Agent for Dynamic Task Delegation
    • Handling Unrelated Requests with Agent Handoffs
    • Enhancing Triage Agents with System Context
    • Specialist Agent Handoffs
  • Unit 4: Customizing Agent Handoffs with Validation and Callbacks
    • Using the Basic Handoff Function
    • Customizing Handoffs with Descriptive Names and Descriptions
    • Fix Handoff Naming for Proper Agent Routing
    • Adding Validation and Custom Logic to Agent Handoffs
    • Building Analytics Callbacks for Agent Workflows

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