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CodeSignal

Coordinating OpenAI Agents Workflows in Python

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: Maintaining Multi-Turn Conversations with Agents
    • Viewing Conversation History in Action
    • Building a Dynamic Conversation History
    • Maintaining Context in Multi-Turn Conversations
    • Debugging Multi-Turn Conversations
    • Manual Conversation History Building
  • Unit 2: Chaining Agents for Sequential Workflows
    • Simple Agent Chaining Without Context
    • Passing Conversation Context to Next Agent
    • Layering Instructions in Agent Chains
    • Building a Three Agent Workflow
  • Unit 3: Delegating Tasks Between Agents Using Handoffs
    • Building a Smart Triage Agent
    • Handling Unrelated Requests Without Handoffs
    • Adding System Context to Agents
    • Using Helpers for Agent Instructions
    • Delegating Tasks as a Specialist Agent
  • Unit 4: Customizing Agent Handoffs with Validation and Callbacks
    • Introducing Custom Handoffs
    • Customizing Agent Handoff Details
    • Naming Matters in Agent Handoffs
    • Schema Validation and Callbacks in Handoffs
    • Tracking Agent Usage with Callbacks

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