Workflow Agents
Orchestrate multiple agents with predictable execution patterns
Workflow agents provide deterministic orchestration patterns for coordinating multiple agents. Unlike LLM agents that make dynamic decisions, workflow agents follow predictable execution paths.
Workflow Types
🔗 Sequential Agent
Execute agents one after another in a specific order
⚡ Parallel Agent
Run multiple agents simultaneously for faster processing
🔄 Loop Agent
Repeat agent execution until conditions are met
When to Use Workflow Agents
Workflow agents are ideal for:
- Predictable pipelines - When you need guaranteed execution order
- Data processing workflows - Multi-step data transformation and analysis
- Quality assurance - Review and validation workflows
- Performance optimization - Parallel processing of independent tasks
- Iterative improvement - Repeated refinement until criteria are met
Key Benefits
Deterministic Execution
Unlike LLM agents, workflow agents provide predictable, repeatable execution patterns.
Composition
Combine different workflow types to create complex orchestration patterns.
Error Handling
Built-in error handling and recovery mechanisms for robust workflows.
Performance Control
Optimize execution with parallel processing and conditional loops.
Workflow Patterns
Common Patterns
- Research Pipeline: Sequential research → analysis → summary
- Content Review: Parallel fact-checking and grammar review
- Iterative Refinement: Loop until quality criteria are met
- Distributed Processing: Parallel execution across data partitions
Choosing the Right Workflow
- Sequential: When order matters and each step depends on the previous
- Parallel: When tasks are independent and can run simultaneously
- Loop: When you need iterative improvement or retry logic
Advanced Features
Nested Workflows
Workflow agents can contain other workflow agents for complex patterns.
Conditional Execution
Control flow based on agent outputs and session state.
Result Aggregation
Combine results from multiple agents into coherent outputs.
State Management
Pass data between agents using session state and context.
Getting Started
Start with the workflow type that matches your use case:
- Sequential Agents - For step-by-step processes
- Parallel Agents - For independent tasks
- Loop Agents - For iterative processes