> ## Documentation Index
> Fetch the complete documentation index at: https://docs.autoblocks.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> Learn about Autoblocks Workflow Builder and how it helps you create and manage complex LLM chains.

# Workflow Builder Overview

Autoblocks Workflow Builder provides a powerful platform for creating and managing chains of LLM calls. Using our visual no-code builder, you can quickly prototype complex LLM workflows and then choose how to run them in production.

## Key Features

### Visual Workflow Builder

* Drag-and-drop interface for creating LLM chains
* Rapid prototyping and testing
* Real-time validation and debugging
* Version control and management

### Production Execution Options

#### Autoblocks-Hosted Runtime

* Run workflows directly on Autoblocks infrastructure
* Managed scaling and reliability
* Built-in monitoring and analytics
* No additional infrastructure needed

#### SDK-Based Execution

* Pull workflow schemas using our SDKs
* Run workflows in your own infrastructure
* Full control over execution environment
* Custom orchestration and monitoring

### Integration Flexibility

* TypeScript and Python SDK support
* REST API access
* Custom workflow orchestration
* CI/CD pipeline integration

### Testing and Validation

* Real-time workflow testing
* Input/output validation
* Error handling and debugging
* Performance monitoring

## Core Concepts

### Workflow Creation

* Visual builder interface
* LLM chain construction
* Conditional logic
* Error handling

### Workflow Schemas

* Type-safe workflow definitions
* Version control
* Deployment management
* Custom orchestration support

### Production Runtime

* Autoblocks-hosted execution
* SDK-based local execution
* Infrastructure management
* Monitoring and analytics

### Testing and Monitoring

* Real-time testing
* Performance tracking
* Error analysis
* Usage patterns

## Getting Started

1. **Create Your Workflow**
   * Use the visual builder to design your LLM chain
   * Test and validate in real-time
   * Save and version your workflow

2. **Choose Production Runtime**
   * **Autoblocks Runtime**: Run directly on our infrastructure
   * **SDK Runtime**: Pull the schema and run in your infrastructure