> ## Documentation Index
> Fetch the complete documentation index at: https://docs-omnicoreagent.omnirexfloralabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Workflow Agents Cookbook

> Sequential, parallel, and router workflow examples for coordinating multiple OmniCoreAgent instances

# Workflow Agents

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

## Examples

| File                                                | Pattern        | Key Concepts                                    |
| --------------------------------------------------- | -------------- | ----------------------------------------------- |
| [sequential\_workflow.py](./sequential_workflow.py) | **Sequential** | Chain agents to pass results step-by-step       |
| [parallel\_agent.py](./parallel_agent.py)           | **Parallel**   | Run agents concurrently for speed               |
| [router\_agent.py](./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

```python theme={"theme":{"light":"github-light","dark":"github-dark"}}
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](../background_agents) for scheduled autonomous tasks.