Workflow Agents

Orchestrate multiple agents for complex tasks using Sequential, Parallel, and Router patterns.

Examples

File	Pattern	Key Concepts
sequential_workflow.py	Sequential	Chain agents to pass results step-by-step
parallel_agent.py	Parallel	Run agents concurrently for speed
router_agent.py	Router	Intelligently route tasks to specialized agents

When to Use Each Pattern

Pattern	Use When	Example
Sequential	Tasks depend on each other	Research → Analyze → Report
Parallel	Tasks are independent	Check 3 APIs simultaneously
Router	Task type determines handler	Customer → Support vs Sales

Quick Start

from omnicoreagent import SequentialAgent

workflow = SequentialAgent(
    name="research_pipeline",
    agents=[researcher, analyst, writer],
)

result = await workflow.run("Analyze AI trends in healthcare")

Next: Check out Background Agents for scheduled autonomous tasks.