AutoGen Sequential Pipeline 🔥 Build Multi-Agent Workflows (Research → Outline → Write)

This tutorial demonstrates how to build multi-agent sequential pipelines using AutoGen, enabling complex workflows that progress through distinct stages like research, outline creation, and writing. The course covers practical implementation of agent orchestration where tasks flow sequentially from one agent to the next, with each agent specializing in a specific role. The GitHub repository provides complete code examples for building production-ready multi-agent systems.

Key Points

• •Sequential pipeline architecture: Design workflows where agents execute tasks in order (Research → Outline → Write)
• •Agent specialization: Create agents with distinct roles and expertise for different pipeline stages
• •Task handoff mechanism: Implement clean transitions between agents, passing context and outputs forward
• •AutoGen framework: Leverage AutoGen's built-in orchestration for multi-agent coordination
• •State management: Maintain context and data flow across sequential agent interactions
• •Error handling: Implement fallback strategies when agents fail or produce unexpected outputs
• •Prompt engineering: Craft specific instructions for each agent role to ensure quality outputs
• •Testing & validation: Verify pipeline outputs at each stage before proceeding to the next
• •Scalability patterns: Design pipelines that can handle varying input complexity and volume
• •Production deployment: Package multi-agent workflows for real-world applications

Workflow Diagram

Concepts

Artifacts (1)

GitHub: https://github.com/dearnidhi/Autogen-Agents-Course.git

Contains:
- Multi-agent pipeline implementations
- Research → Outline → Write workflow examples
- Agent configuration templates
- Task orchestration patterns
- Complete working code samples