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Orchestration Basics

Learn to orchestrate complex agent workflows and task sequences

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Real-World Workflow Examples

Let's explore real orchestration workflows in action. Each example shows how multiple specialized agents coordinate to solve complex problems: research assistants synthesizing information, customer support resolving tickets, and data pipelines processing information.

Three Production Workflows

🔍

Research Assistant

Multi-source research and synthesis

5 agents23s
💬

Customer Support

Automated ticket resolution

5 agents11s
📊

Data Pipeline

ETL and analysis workflow

5 agents41s

Interactive: Workflow Breakdown

Select a workflow to see its step-by-step execution and agent specialization.

SELECT WORKFLOW

RESEARCH ASSISTANT
Multi-source research and synthesis
1
Parse Query
Analyzer
2s
2
Search Sources
Researcher
8s
3
Extract Facts
Extractor
5s
4
Synthesize
Writer
6s
5
Format Output
Formatter
2s
Total Execution Time:
23s
Workflow Steps
5 stages
Specialized Agents
5 agents
Pattern Used
Workflow Chain

Design Principles

🎯
Single Responsibility
Each agent specializes in one task—parsing, searching, synthesizing, etc.
🔄
Clear Data Flow
Each step outputs data that the next step needs as input
⚡
Minimize Dependencies
Independent steps can run in parallel to reduce total time
🛡️
Error Isolation
Failed steps don't cascade—implement retries and fallbacks

💡 Key Insight

Real workflows combine multiple patterns. The examples above use workflow chains for sequential processing, but they might also use request-reply for individual agent calls and pub-sub for broadcasting status updates. Don't limit yourself to one pattern—mix them based on your needs.

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