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Agent Flows

Agent flows define the logical sequences and decision paths that govern how agents process information and respond to different scenarios. They enable you to create sophisticated automation workflows with complex branching and conditional logic.

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Understanding Flows

Flows are visual representations of agent logic that determine how agents process inputs, make decisions, and generate responses. They help create predictable and consistent agent behavior patterns.

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Flow Components

Triggers

Events that initiate a flow:
  • User messages
  • Scheduled events
  • External webhooks

Actions

Operations performed by the agent:
  • Message responses
  • Tool executions
  • Data processing

Conditions

Decision points in the flow:
  • Input validation
  • State checks
  • Pattern matching

Outputs

Results produced by the flow:
  • Response messages
  • Data updates
  • External actions

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Flow Types

  • Message handling patterns
  • Response generation logic
  • Context management
  • Step-by-step procedures
  • Task completion checks
  • Error handling paths
  • External service interactions
  • Data synchronization
  • Webhook processing
  • Scheduled operations
  • Data maintenance
  • Automated updates

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Building Flows

1

Define Triggers

Specify what events will initiate your flow
2

Design Logic

Map out the decision points and action sequences
3

Configure Actions

Set up the specific operations to be performed
4

Test and Validate

Verify flow behavior in different scenarios

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Best Practices

Flow Organization

Keep flows modular and well-organized for better maintainability

Error Handling

Include comprehensive error handling and recovery paths

Performance

Optimize flows for efficient execution and resource usage

Monitoring

Implement logging and monitoring for flow execution

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Next Steps