Quick Start Guide

Get Ralph Orchestrator up and running in 5 minutes!

Prerequisites

Before you begin, ensure you have:

• Python 3.8 or higher
• Git (for checkpointing features)
• At least one AI CLI tool installed

Step 1: Install an AI Agent

Ralph works with multiple AI agents. Install at least one:

=== "Claude (Recommended)"

```bash
npm install -g @anthropic-ai/claude-code
# Or visit https://claude.ai/code for setup instructions
```

=== "Q Chat"

```bash
pip install q-cli
# Or follow instructions at https://github.com/qchat/qchat
```

=== "Gemini"

```bash
npm install -g @google/gemini-cli
# Configure with your API key
```

=== "ACP Agent"

```bash
# Any ACP-compliant agent can be used
# Example: Gemini CLI with ACP mode
npm install -g @google/gemini-cli
# Run with: ralph run -a acp --acp-agent gemini
```

Step 2: Clone Ralph Orchestrator

# Clone the repository
git clone https://github.com/mikeyobrien/ralph-orchestrator.git
cd ralph-orchestrator

# Install optional dependencies for monitoring
pip install psutil  # Recommended for system metrics

Step 3: Create Your First Task

Create a PROMPT.md file with your task:

# Task: Create a Todo List CLI

Build a Python command-line todo list application with:

- Add tasks
- List tasks
- Mark tasks as complete
- Save tasks to a JSON file

Include proper error handling and a help command.

The orchestrator will continue iterations until all requirements are met or limits reached.

Step 4: Run Ralph

# Basic execution (auto-detects available agent)
python ralph_orchestrator.py --prompt PROMPT.md

# Or specify an agent explicitly
python ralph_orchestrator.py --agent claude --prompt PROMPT.md

# Or use an ACP-compliant agent
python ralph_orchestrator.py --agent acp --acp-agent gemini --prompt PROMPT.md

Step 5: Monitor Progress

Ralph will now:

1. Read your prompt file
2. Execute the AI agent
3. Check for completion
4. Iterate until done or limits reached

You'll see output like:

2025-09-08 10:30:45 - INFO - Starting Ralph Orchestrator v1.0.0
2025-09-08 10:30:45 - INFO - Using agent: claude
2025-09-08 10:30:45 - INFO - Starting iteration 1/100
2025-09-08 10:30:52 - INFO - Iteration 1 complete
2025-09-08 10:30:52 - INFO - Task not complete, continuing...

What Happens Next?

Ralph will continue iterating until one of these conditions is met:

• 🎯 All requirements appear to be satisfied
• ⏱️ Maximum iterations reached (default: 100)
• ⏰ Maximum runtime exceeded (default: 4 hours)
• 💰 Token or cost limits reached
• ❌ Unrecoverable error occurs
• ✅ Completion marker detected in prompt file
• 🔄 Loop detection triggers (repetitive outputs)

Signaling Completion

Add a completion marker to your PROMPT.md when the task is done:

## Status

- [x] Created todo.py with CLI interface
- [x] Implemented add, list, complete commands
- [x] Added JSON persistence
- [x] Wrote unit tests
- [x] TASK_COMPLETE

Ralph will detect the - [x] TASK_COMPLETE marker and stop orchestration immediately. This allows the AI agent to signal "I'm done" rather than relying solely on iteration limits.

Basic Configuration

Control Ralph's behavior with command-line options:

# Limit iterations
python ralph_orchestrator.py --prompt PROMPT.md --max-iterations 50

# Set cost limit
python ralph_orchestrator.py --prompt PROMPT.md --max-cost 10.0

# Enable verbose logging
python ralph_orchestrator.py --prompt PROMPT.md --verbose

# Dry run (test without executing)
python ralph_orchestrator.py --prompt PROMPT.md --dry-run

Example Tasks

Simple Function

Write a Python function that validates email addresses using regex.
Include comprehensive unit tests.

Web Scraper

Create a web scraper that:

1. Fetches the HackerNews homepage
2. Extracts the top 10 stories
3. Saves them to a JSON file
   Use requests and BeautifulSoup.

CLI Tool

Build a markdown to HTML converter CLI tool:

- Accept input/output file arguments
- Support basic markdown syntax
- Add --watch mode for auto-conversion

Next Steps

Now that you've run your first Ralph task:

• 📖 Read the User Guide for detailed configuration
• 🔒 Learn about Security Features
• 💰 Understand Cost Management
• 📊 Set up Monitoring
• 🚀 Deploy to Production

Troubleshooting

Agent Not Found

If Ralph can't find an AI agent:

ERROR: No AI agents detected. Please install claude, q, gemini, or an ACP-compliant agent.

Solution: Install one of the supported agents (see Step 1)

Permission Denied

If you get permission errors:

chmod +x ralph_orchestrator.py

Task Not Completing

If your task runs indefinitely:

• Check that your prompt includes clear completion criteria
• Ensure the agent can modify files and work towards completion
• Review iteration logs in .agent/metrics/

Getting Help

• Check the FAQ
• Read the Troubleshooting Guide
• Open an issue on GitHub
• Join the discussions

---

🎉 Congratulations! You've successfully run your first Ralph orchestration!