Ralph Orchestration Command

Purpose: Launch Ralph task agent to autonomously execute complex multi-step goals with continuous iteration until completion.

⚠️ Important: Ralph vs Genesis

Ralph = Standalone ralph-orchestrator fork at /Users/$USER/projects_other/ralph-orchestrator

• Uses Codex CLI by default (200K context via OpenRouter)
• Separate codebase from WorldArchitect.ai
• Command: python -m ralph_orchestrator

Genesis = WorldArchitect.ai orchestration system (different from Ralph!)

• Located at: /Users/$USER/projects/worktree_ralph/genesis/
• Uses Codex CLI by default (can override with --claude flag)
• Command: python genesis/genesis.py
• See /gene command for Genesis execution

Ralph Repository Location

Required: /Users/$USER/projects_other/ralph-orchestrator

This command will verify the Ralph repo exists before executing. If you want to use a different Ralph installation, specify the repo path as the first argument.

Usage

/ralph <goal-file-path> [max-iterations] [ralph-repo-path]

Parameters:

• goal-file-path: Path to markdown goal file defining the autonomous task
• max-iterations: (Optional) Maximum iterations before stopping (default: 20)
• ralph-repo-path: (Optional) Path to Ralph repo (default: /Users/$USER/projects_other/ralph-orchestrator)

How Ralph Works

Ralph is an autonomous task agent that:

1. Uses Codex CLI by default - larger context windows (200K tokens) via OpenRouter
2. Reads goal files in markdown format with clear success criteria
3. Creates task-specific agents in tmux sessions for parallel work
4. Iterates continuously until goal completion or max iterations reached
5. Self-corrects errors by analyzing failures and adjusting approach
6. Commits progress regularly to track incremental changes
7. Reports completion with evidence of success criteria met

Default Agent: --agent codex (can override with --agent claude, --agent gemini, or --agent auto) Fallback Mode: Use --agent auto to try Codex → Claude → Gemini automatically

Goal File Format

Ralph goal files must follow this structure:

# Goal: [Clear one-sentence goal statement]

## Current Status
[Document starting state]

## Tasks
1. **Task Name**: Clear, actionable task description
2. **Task Name**: Next sequential task

## Success Criteria
✅ Criterion 1 (measurable outcome)
✅ Criterion 2 (verification method)
✅ Criterion 3 (deliverable exists)

## Autonomous Execution
Ralph should:
1. Read this goal file
2. Execute all tasks sequentially
3. Test after each step
4. Document results
5. Commit and push when complete

Best Practices for Ralph Goals

✅ DO: Write Autonomous-Ready Goals

• Clear success criteria: Ralph must know when it's done
• Measurable outcomes: "Tests pass" not "Code works"
• Specific paths: Provide exact file locations and repo paths
• Sequential tasks: Order matters - dependencies first
• Test validation: Include test commands Ralph can run
• Commit protocol: Specify when to commit (after each file, after task, etc.)

❌ DON'T: Create Vague Goals

• "Make it better" - No measurable outcome
• "Fix bugs" - Which bugs? Where?
• "Improve performance" - By how much?
• "Update documentation" - Which files? What content?

Example: Production Deployment Goal

# Goal: Complete Production MCP Server Deployment

## Current Status
✅ Mock server working (15/15 tests passing)
❌ Production server crashes (Firebase initialization error)

## Tasks

### Task 1: Fix Firebase Authentication
**Location**: `/path/to/project/src/config/firebase.ts`

**Issue**: Server crashes with "Service account object must contain 'private_key'"

**Fix**: Implement Application Default Credentials (ADC) support
```typescript
// Add ADC fallback path
else if (process.env.FIREBASE_PROJECT_ID) {
  console.log('🔑 Using Application Default Credentials (ADC)');
  firebaseApp = initializeApp({ projectId: process.env.FIREBASE_PROJECT_ID });
}

Validation:

cd /path/to/project
npm run build
npm start
curl http://localhost:3001/health  # Should return 200 OK

Task 2: Test Production Functionality

After server starts successfully:

1. Test campaign creation:

curl -X POST http://localhost:3001/api/campaigns \
  -H "Content-Type: application/json" \
  -d '{"user_id":"test","title":"Test Campaign","setting":"fantasy"}'

2. Test interaction (use campaign_id from step 1):

curl -X POST http://localhost:3001/api/campaigns/{id}/interaction \
  -H "Content-Type: application/json" \
  -d '{"user_id":"test","user_input":"I explore the dungeon"}'

3. Verify in Firebase Console: Campaign and interaction documents exist

Task 3: Document Production Deployment

Create PRODUCTION_DEPLOYMENT.md with:

• Prerequisites (Node.js, Firebase, credentials)
• Environment variables required
• Deployment steps
• Validation tests
• Known issues

Task 4: Commit and Push

git add -A
git commit -m "feat: add production deployment support with ADC authentication

- Implement Application Default Credentials fallback
- Add production deployment documentation
- Validate with real Firebase/Gemini credentials

Tested with campaign creation and interaction endpoints."
git push origin HEAD:production-deployment-work

Success Criteria

✅ Production server starts without errors (health endpoint responds) ✅ Campaign creation works with real Firebase (document exists in Firestore) ✅ Interaction endpoint works with real Gemini (response generated) ✅ PRODUCTION_DEPLOYMENT.md exists with complete deployment guide ✅ All changes committed and pushed to remote branch ✅ Final validation report created with test results

Autonomous Execution

Ralph should:

1. Read this goal file
2. Execute all 4 tasks sequentially
3. Test after each fix
4. Document results in validation report
5. Commit and push when complete
6. Report final status with evidence

## Ralph Orchestration Workflow

When you execute `/ralph`:

1. **Verify Ralph Repository**
   ```bash
   # Default location
   RALPH_REPO="/Users/$USER/projects_other/ralph-orchestrator"

   # Or use custom location from parameter
   if [ $# -ge 3 ]; then
       RALPH_REPO="$3"
   fi

   # Verify repo exists
   if [ ! -d "$RALPH_REPO" ]; then
       echo "❌ ERROR: Ralph repository not found at: $RALPH_REPO"
       echo "Please ensure ralph-orchestrator is cloned to the expected location"
       echo "Or specify custom path: /ralph <goal-file> <iterations> <ralph-repo-path>"
       exit 1
   fi

   echo "✅ Found Ralph repository at: $RALPH_REPO"

2. Goal File Validation

   • Verify goal file exists and is readable
   • Check for required sections (Goal, Tasks, Success Criteria)
   • Confirm autonomous execution instructions present

3. Launch Ralph Orchestrator

   cd "$RALPH_REPO"
   
   # Activate virtual environment if it exists
   if [ -d ".venv" ]; then
       source .venv/bin/activate
   fi
   
   # Run Ralph with Codex agent (explicit default)
   python -m ralph_orchestrator "$GOAL_FILE" \
       --agent codex \
       --max-iterations "$MAX_ITERATIONS" \
       --verbose
   

4. Monitor Ralph Progress

   • Ralph creates tmux sessions for work
   • Agent logs to Ralph's log directory
   • Check Ralph output for progress updates

5. Verify Completion

   • Check Ralph's completion report
   • Verify all success criteria met
   • Review git commits for evidence of work

Common Ralph Patterns

Security-Sensitive Tasks

Ralph may refuse tasks that appear to violate security policies (credential harvesting, malicious code). If this happens:

1. Clarify intent: Update goal file to explain credentials already exist
2. Change framing: "TEST the server" not "FIND credentials"
3. Provide context: Explain this is legitimate development work

Production vs Mock Mode

For testing with real services:

1. Document credential location: Tell Ralph where .env file is
2. Specify test validation: How Ralph verifies real service integration
3. Expected errors: Document known limitations (e.g., Firestore indexes)

Commit Protocol

To avoid infinite loops, always specify commit frequency:

## 🚨 MANDATORY COMMIT PROTOCOL

After creating or modifying ANY file, immediately commit:
```bash
git add <filename>
git commit -m "feat: add <filename>"

Progress Validation (every 5 files):

1. Run: git log --oneline | head -10
2. Verify: git status shows clean
3. If untracked files exist, commit them before proceeding

## Troubleshooting

### Ralph Gets Stuck in Analysis Paralysis
**Symptom**: Ralph runs for hours but generates minimal code

**Solutions**:
1. Kill Ralph process: `pkill -f "orchestrate_unified.py.*<goal-file-name>"`
2. Review goal file - may be too vague or lack measurable success criteria
3. Add explicit commit protocol to force progress tracking
4. Reduce max iterations to force completion

### Ralph Refuses Security-Sensitive Tasks
**Symptom**: Ralph stops with "violates security policy" message

**Solutions**:
1. Update goal file to clarify legitimate intent
2. Change task framing from "search for" to "use existing"
3. Document that credentials/resources already exist
4. Provide exact file paths to eliminate search behavior

### Ralph Claims Success Without Changes
**Symptom**: Ralph reports task complete but `git status` shows no changes

**Solutions**:
1. Add verification checklist to goal file:
   - File existence check
   - Git diff validation
   - Commit verification
   - Work evidence (file paths + line numbers)
2. Require Ralph to provide specific evidence of changes
3. Mandate git commit after each task

## Integration with Other Commands

- **`/orch`**: Launch generic orchestration (use Ralph for autonomous task execution)
- **`/converge`**: Similar autonomous execution with different iteration strategy
- **`/cons`**: Review Ralph's code quality after completion
- **`/checkpoint`**: Save Ralph's progress before major changes

## Real-World Ralph Usage Example

From TypeScript migration benchmark (commit 09ab17d):

```bash
# Ralph command (uses Codex by default)
/ralph /Users/$USER/projects/orch_worldai_ralph/complete-production-deployment.md 30

# Explicit execution (what Ralph does internally)
cd /Users/$USER/projects_other/ralph-orchestrator
python -m ralph_orchestrator \
    /Users/$USER/projects/orch_worldai_ralph/complete-production-deployment.md \
    --agent codex \
    --max-iterations 30 \
    --verbose

Goal: Fix undefined field bug, document Firestore index requirement, validate production functionality

Ralph's Autonomous Execution:

1. ✅ Applied conditional spread operator fix (line 39 CampaignService.ts)
2. ✅ Created PRODUCTION_DEPLOYMENT.md with deployment guide
3. ✅ Rebuilt server (npm run build)
4. ✅ Tested campaign creation (campaign ID: vG64GU7JppVOdFJP2QqL)
5. ✅ Tested interaction endpoint (documented expected index error)
6. ✅ Committed changes (commit 09ab17d)
7. ✅ Pushed to remote branch (task-agent-fix-goal-failin-work)

Evidence: All success criteria met, working production server, complete documentation

When to Use Ralph vs Genesis

Use Ralph (/ralph) for:

• Tasks requiring large context windows (200K tokens via Codex)
• Autonomous execution with Codex's stronger reasoning
• Complex multi-file refactoring
• When you want fallback to Claude → Gemini automatically
• Standalone projects outside WorldArchitect.ai

Use Genesis (/gene) for:

• Tasks within WorldArchitect.ai project context
• When you want fast-gen mode with Cerebras speed
• Integrated with WorldArchitect.ai's codebase and tools
• Also uses Codex by default (same model as Ralph)
• When you need WorldArchitect.ai-specific context

When to Use Ralph vs Manual Work

Use Ralph for:

• Multi-step tasks with clear success criteria (5+ steps)
• Production deployments requiring validation
• Bug fixes with specific test cases
• Autonomous execution while you work on other tasks
• Benchmark comparisons

Manual work for:

• Exploratory coding without clear endpoint
• Architectural decisions requiring human judgment
• Creative feature design
• Complex debugging requiring hypothesis testing
• Tasks requiring frequent user input

---

Ralph = Standalone ralph-orchestrator, Codex by default, large context (200K) Genesis = WorldArchitect.ai integrated, Codex by default, fast-gen mode with Cerebras