Cotor Upgrade Guide
Cotor Upgrade Guide
What's New in Cotor 1.0
🎯 Major Improvements
1. Enhanced CLI Commands
Before:
cotor board-implementation # Confusing, inconsistent
After:
cotor run board-implementation # Clear and intuitive
cotor run board-implementation --verbose # Detailed logging
cotor run board-implementation --dry-run # Simulation mode
cotor run board-implementation --watch # Real-time monitoring
2. Real-Time Progress Monitoring
The new pipeline monitor shows live execution progress:
🚀 Running: board-implementation (5 stages)
┌──────────────────────────────────────────────┐
│ ✅ Stage 1: requirements-analysis 2.3s │
│ 🔄 Stage 2: backend-implementation │
│ ⏳ Stage 3: code-review │
│ ⏳ Stage 4: testing │
│ ⏳ Stage 5: documentation │
└──────────────────────────────────────────────┘
⏱️ Elapsed: 00:02:34 | Progress: 20% (1/5 stages completed)
3. Pipeline Validation
Validate your pipeline before running:
cotor validate board-implementation
# Output:
✅ Pipeline structure: valid
✅ All agents defined: valid
✅ Stage dependencies: valid
⚠️ Warning: Stage 'backend-implementation' has no timeout specified
4. User-Friendly Error Messages
Before:
Error: Failed to load config
After:
❌ Error: Pipeline configuration not found
📍 Problem:
cotor.yaml file is missing in the current directory
💡 Solutions:
1. Run 'cotor init' to create a default configuration
2. Specify config path: cotor run -c path/to/config.yaml <pipeline>
3. Check if you're in the correct directory
📖 Documentation: https://docs.cotor.dev/configuration
5. Dry-Run Mode
Test your pipeline without actually executing it:
cotor run board-implementation --dry-run
# Output:
📋 Pipeline Estimate: board-implementation
Execution Mode: SEQUENTIAL
Stages:
├─ requirements-analysis (claude)
│ └─ ~30s
├─ backend-implementation (claude)
│ └─ ~45s
├─ code-review (gemini)
│ └─ ~30s
├─ testing (gemini)
│ └─ ~40s
├─ documentation (claude)
│ └─ ~25s
⏱️ Total Estimated Duration: ~2m 50s
🛠️ Technical Improvements
New Dependencies
Added for better terminal UI and progress tracking:
implementation("com.github.ajalt.mordant:mordant:2.2.0") // Terminal UI
implementation("me.tongfei:progressbar:0.9.5") // Progress bar
implementation("io.github.microutils:kotlin-logging-jvm:3.0.5") // Logging
New Components
-
PipelineMonitor (
com.cotor.monitoring.PipelineMonitor)- Real-time stage tracking
- Progress visualization
- Duration calculation
- Colored terminal output
-
UserFriendlyError (
com.cotor.error.UserFriendlyError)- Structured error messages
- Solution suggestions
- Documentation links
-
PipelineValidator (
com.cotor.validation.PipelineValidator)- Configuration validation
- Dependency checking
- Duration estimation
- Critical path analysis
-
Enhanced Commands (
com.cotor.presentation.cli.EnhancedCommands)EnhancedRunCommand- Improved pipeline executionValidateCommand- Pipeline validationTestCommand- Testing framework
🔁 Conditional & Loop Pipelines
- Stage types –
PipelineStage.typedefaults toEXECUTION, but can now beDECISIONorLOOP. - Decision stages –
condition.expressionuses the new evaluator to read previous stage metadata/output (review.validationScore >= 0.9) and pick an action (CONTINUE,GOTO,ABORT).sharedStateassignments let you pass values to later prompts. - Loop stages –
loopconfig targets any stage, enforcesmaxIterations, and optionally breaks onceuntilExpressionbecomes true.
- id: review
agent:
name: gemini
- id: gate
type: DECISION
condition:
expression: "review.validationScore >= 0.85"
onTrue:
action: CONTINUE
onFalse:
action: GOTO
targetStageId: improve
- id: loop-controller
type: LOOP
loop:
targetStageId: review
maxIterations: 3
untilExpression: "improve.validationScore >= 0.92"
ℹ️ Conditional stages are supported in
SEQUENTIALpipelines. Parallel/DAG pipelines continue to run pure execution stages.
🧠 Result Intelligence
- ResultAnalyzer – new component (
com.cotor.analysis.ResultAnalyzer) compares agent outputs and metadata. - Run Summary Enhancements – CLI now prints a consensus badge, confidence percentage, and highlights the best agent.
- Diagnostics – verbose mode reveals which agents disagree and provides remediation tips (e.g., rerun strongest agent).
Example summary:
📦 Run Summary
Pipeline : benchmark
Agents : 4/4 succeeded
Duration : 11.4s
Consensus: ⚠️ Divergent (48%)
Best : gemini - Added pagination defaults plus schema notes.
Event System Updates
New events for stage-level monitoring:
data class StageStartedEvent(val stageId: String, val pipelineId: String)
data class StageCompletedEvent(val stageId: String, val pipelineId: String, val result: AgentResult)
data class StageFailedEvent(val stageId: String, val pipelineId: String, val error: Throwable)
🚀 Migration Guide
Step 1: Update Your Scripts
Replace old command patterns:
# Old
./cotor board-implementation
# New
./cotor run board-implementation
Step 2: Add Validation
Add validation step to your CI/CD:
# Validate before running
./cotor validate my-pipeline
./cotor run my-pipeline
Step 3: Use Verbose Mode for Debugging
When debugging issues:
./cotor run my-pipeline --verbose
Step 4: Test with Dry-Run
Before running expensive pipelines:
./cotor run my-pipeline --dry-run
📊 Performance Improvements
- Parallel Event Emission: Events are now emitted asynchronously
- Efficient Progress Rendering: Terminal updates only when state changes
- Smart Caching: Agent registry caches loaded agents
- Memory Management: Proper cleanup after pipeline execution
🔒 Security Enhancements
- Input Validation: All pipeline configurations are validated
- Timeout Enforcement: Stages respect configured timeouts
- Error Isolation: Stage failures don't crash the entire system
- Safe Execution: Dry-run mode for testing without side effects
📖 New Documentation
- UPGRADE_GUIDE.md (this file) - Upgrade instructions
- CLI_REFERENCE.md - Complete CLI command reference
- VALIDATION_GUIDE.md - Pipeline validation guide
- ERROR_HANDLING.md - Error handling best practices
🧪 Testing
New test suite for validation:
./test-cotor-enhanced.sh
# Test specific features
./cotor test --test-dir test/board-feature
🎯 Roadmap
Phase 2 (Coming Soon)
- Result artifact management
- Pipeline resume from failure point
- Web dashboard enhancements
- Performance profiling
Phase 3 (Future)
- Parallel execution optimization
- Distributed pipeline execution
- Advanced caching strategies
- Plugin marketplace
📞 Support
- Issues: https://github.com/yourorg/cotor/issues
- Documentation: https://docs.cotor.dev
- Community: https://discord.gg/cotor
🙏 Acknowledgments
This upgrade incorporates feedback from the community and implements industry best practices from tools like:
- Gradle - Progress visualization
- Terraform - Plan/Apply separation
- Kubernetes - Error messaging