Documentation

Welcome to the ETLR documentation. Learn how to build and deploy AI workflows in minutes.

Getting Started

ETLR is a platform for building AI workflows as code. Define your workflows in YAML, deploy them instantly, and scale without managing infrastructure.

Workflows

Learn how workflows combine inputs and steps to create powerful automation pipelines.

Inputs

Configure HTTP webhooks, cron schedules, and other input sources for your automation.

Steps

Browse available workflow steps including connectors, transformations, and integrations.

State

Understand how state flows through your workflow pipeline and between steps.

Environment Variables

Securely manage configuration values, API keys, and secrets for your workflows.

Quick Example

Here's a simple workflow that processes webhooks with an AI model:

name: ai_workflow
version: 1

inputs:
  - type: webhook
    path: /process

steps:
  - name: openai_completion
    model: gpt-4
    prompt: "Analyze this data: {{state.data}}"
  
  - name: slack_webhook
    url: {{env.SLACK_WEBHOOK_URL}}
    message: "{{state.completion}}"

This workflow receives data via webhook, processes it with GPT-4, and sends the result to Slack. No infrastructure setup required – just deploy and run.