Why Workflows?

Workflows are a way to orchestrate tasks, agents, and MCP servers. Whether you’re processing documents, analyzing data, or orchestrating complex business logic, workflows provide the structure you need.

Here’s a simple workflow that demonstrates the basic concepts:

workflow:
  tasks:
    - id: fetch_content
      type: basic
      use: tool(fetch_data)
      on_success:
        next: process_data

    - id: process_data
      type: basic
      use: tool(save_results)
      with:
        data: "{{ tasks.fetch_content.output }}"

Core Features

Task Orchestration

Coordinate and sequence multiple tasks with advanced flow control and error handling

Parallel Processing

Execute multiple tasks concurrently with configurable concurrency limits

Decision Making

Dynamic routing based on task outputs and conditional logic

Error Management

Comprehensive error handling with retries, fallbacks, and recovery options

State Management

Persistent workflow state with recovery mechanisms and execution history

Component Integration

Seamless integration with tools, agents, and MCP servers

Key Points

Declarative Configuration

Define entire workflows using simple YAML syntax with clear component relationships

Error Resilience

Built-in retry mechanisms, alternative paths, and graceful degradation options

Data Integrity

Schema validation, type-safe transformations, and consistent error states

Flow Control

Dynamic routing, parallel execution, and sophisticated decision points

Composability

Modular design with reusable components and standardized patterns

Performance

Optimized execution with parallel processing and resource management

Next Steps