FlowEditor Executor Documentation¶

Welcome to the FlowEditor Executor documentation! FlowEditor Executor is a powerful Python backend application that compiles and executes workflows using LangGraph, providing a flexible and scalable workflow orchestration system.

What is FlowEditor Executor?¶

FlowEditor Executor is a workflow engine that allows you to create, compile, and execute complex workflows with various node types including Python code execution, LLM calls, conditional branching, human-in-the-loop interactions, and more.

Key Features¶

• 🔄 Workflow Engine - LangGraph-powered execution with edge-based flow control
• 🧩 Multiple Node Types - Python code, LLM calls, REST APIs, switches, subworkflows, and more
• 🐛 Visual Debugging - Breakpoint-based debugging with step-through execution
• 👤 Human-in-the-Loop - Pause workflows for human input with typed form fields
• 🚀 Streaming Execution - Real-time updates via Server-Sent Events and gRPC
• 💾 State Management - Persistent state with user and global storage
• 📊 Observability - Comprehensive execution tracking and analytics
• 🔐 Authentication - JWT, Keycloak, and simple auth support
• ☁️ Cloud Ready - Docker and Kubernetes deployment with Helm charts

Quick Start¶

Get started with FlowEditor Executor in minutes:

# Clone the repository
git clone https://github.com/your-org/floweditor-executor.git
cd floweditor-executor

# Install dependencies
pip install -r requirements.txt

# Run the server
python -m app.start_servers

Visit our Installation Guide for detailed setup instructions.

Documentation Structure¶

Example Workflow¶

Here's a simple workflow that uses LLM to process user input:

{
  "id": "simple-llm-workflow",
  "name": "Simple LLM Workflow",
  "start_node": "trigger",
  "nodes": [
    {
      "id": "trigger",
      "name": "Start",
      "type": "ManualTrigger"
    },
    {
      "id": "process",
      "name": "Process with LLM",
      "type": "CallLLM",
      "config": {
        "system_prompt": "You are a helpful assistant.",
        "user_prompt": "Analyze this: {{data.user_input}}"
      }
    }
  ],
  "edges": [
    {
      "id": "e1",
      "source": "trigger",
      "target": "process"
    }
  ]
}

Learn more in our First Workflow tutorial.

Quick Links¶

• Installation Guide - Get FlowEditor Executor running
• Core Concepts - Understand workflows, nodes, and state
• Node Reference - Complete node type documentation
• API Reference - REST and gRPC APIs
• Debug Mode - Visual workflow debugging
• Human-in-the-Loop - Interactive workflows
• Docker Deployment - Deploy with Docker
• Kubernetes Deployment - Deploy to Kubernetes

Recent Updates¶

Check our Changelog for the latest features and improvements.

Ready to build workflows? Start with our Getting Started Guide →