Build deterministic, production-ready workflows that orchestrate agents, teams, and functions with predictable execution patterns. This comprehensive guide covers all workflow types, from simple sequential processes to complex branching logic with parallel execution and dynamic routing. Unlike free-form agent interactions, these patterns provide structured automation with consistent, repeatable results ideal for production systems.Documentation Index
Fetch the complete documentation index at: https://agno-v2-shaloo-ai-support-link.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Building Blocks
The core building blocks of Agno Workflows are:| Component | Purpose |
|---|---|
| Step | Basic execution unit |
| Agent | AI assistant with specific role |
| Team | Coordinated group of agents |
| Function | Custom Python logic |
| Parallel | Concurrent execution |
| Condition | Conditional execution |
| Loop | Iterative execution |
| Router | Dynamic routing |
Sequential Workflows
Linear execution with step-by-step processing
Parallel Workflows
Concurrent execution for independent tasks
Conditional Workflows
Branching logic based on conditions
Iterative Workflows
Loop-based execution with quality controls
Branching Workflows
Dynamic routing and path selection
Grouped Steps
Reusable step sequences and modular design
Advanced Patterns
Function-Based Workflows
Pure Python workflows with complete control
Multi-Pattern Combinations
Complex workflows combining multiple patterns