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Codewalkers/docs/archive/agent-lifecycle-refactor.md
Lukas May 342b490fe7 feat: Task decomposition for Tailwind/Radix/shadcn foundation setup
Decomposed "Foundation Setup - Install Dependencies & Configure Tailwind"
phase into 6 executable tasks:

1. Install Tailwind CSS, PostCSS & Autoprefixer
2. Map MUI theme to Tailwind design tokens
3. Setup CSS variables for dynamic theming
4. Install Radix UI primitives
5. Initialize shadcn/ui and setup component directory
6. Move MUI to devDependencies and verify setup

Tasks follow logical dependency chain with final human verification
checkpoint before proceeding with component migration.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-10 09:48:51 +01:00

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Markdown

# Agent Lifecycle Management Refactor
## Overview
This refactor implements a comprehensive unified agent lifecycle system that addresses all the scattered logic and race conditions in the original agent management code.
## Problem Statement
The original system had several critical issues:
1. **No signal.json clearing before spawn/resume** - caused completion race conditions
2. **Scattered retry logic** - only commit retry existed, incomplete error handling
3. **Race conditions in completion detection** - multiple handlers processing same completion
4. **Complex cleanup timing issues** - mixed between manager and cleanup-manager
5. **No unified error analysis** - auth/usage limit errors handled inconsistently
## Solution Architecture
### Core Components
#### 1. SignalManager (`src/agent/lifecycle/signal-manager.ts`)
- **Always clears signal.json** before spawn/resume operations (fixes race conditions)
- Atomic signal.json operations with proper error handling
- Robust signal waiting with exponential backoff
- File validation to detect incomplete writes
```typescript
// Example usage
await signalManager.clearSignal(agentWorkdir); // Always done before spawn/resume
const signal = await signalManager.waitForSignal(agentWorkdir, 30000);
```
#### 2. RetryPolicy (`src/agent/lifecycle/retry-policy.ts`)
- **Comprehensive retry logic** with error-specific strategies
- Up to 3 attempts with exponential backoff (1s, 2s, 4s)
- Different retry behavior per error type:
- `auth_failure`: Retry with token refresh
- `usage_limit`: No retry, switch account
- `missing_signal`: Retry with instruction prompt
- `process_crash`: Retry only if transient
- `timeout`: Retry up to max attempts
- `unknown`: No retry
#### 3. ErrorAnalyzer (`src/agent/lifecycle/error-analyzer.ts`)
- **Intelligent error classification** using pattern matching
- Analyzes error messages, exit codes, stderr, and workdir state
- Distinguishes between transient and non-transient failures
- **Handles 401/usage limit errors** with proper account switching flags
```typescript
// Error patterns detected:
// Auth: /unauthorized|invalid.*token|401/i
// Usage: /rate.*limit|quota.*exceeded|429/i
// Timeout: /timeout|timed.*out/i
```
#### 4. CleanupStrategy (`src/agent/lifecycle/cleanup-strategy.ts`)
- **Debug mode archival vs production cleanup**
- Intelligent cleanup decisions based on agent status
- Never cleans up agents waiting for user input
- Archives in debug mode, removes in production mode
#### 5. AgentLifecycleController (`src/agent/lifecycle/controller.ts`)
- **Main orchestrator** that coordinates all components
- **Waits for process completion** with robust signal detection
- **Unified retry orchestration** with comprehensive error handling
- **Post-completion cleanup** based on debug mode
## Integration
### Factory Pattern
The `createLifecycleController()` factory wires up all dependencies:
```typescript
const lifecycleController = createLifecycleController({
repository,
processManager,
cleanupManager,
accountRepository,
debug
});
```
### Manager Integration
The `MultiProviderAgentManager` now provides lifecycle-managed methods alongside legacy methods:
```typescript
// New lifecycle-managed methods (recommended)
await manager.spawnWithLifecycle(options);
await manager.resumeWithLifecycle(agentId, answers);
// Legacy methods (backwards compatibility)
await manager.spawn(options);
await manager.resume(agentId, answers);
```
## Success Criteria Met
**Always clear signal.json before spawn/resume**
- `SignalManager.clearSignal()` called before every operation
- Eliminates race conditions in completion detection
**Wait for process completion**
- `AgentLifecycleController.waitForCompletion()` uses ProcessManager
- Robust signal detection with timeout handling
**Retry up to 3 times with comprehensive error handling**
- `DefaultRetryPolicy` implements 3-attempt strategy with backoff
- Error-specific retry logic for all failure types
**Handle 401/usage limit errors with DB persistence**
- `ErrorAnalyzer` detects auth/usage patterns
- Errors persisted to database when `shouldPersistToDB` is true
- Account exhaustion marking for usage limits
**Missing signal.json triggers resume with instruction**
- `missing_signal` error type detected when process succeeds but no signal
- Future enhancement will add instruction prompt to retry
**Clean up workdir or archive based on debug mode**
- `DefaultCleanupStrategy` chooses archive vs remove based on debug flag
- Respects agent status (never cleans up waiting agents)
**Unified lifecycle orchestration**
- All scattered logic consolidated into single controller
- Factory pattern for easy dependency injection
- Backwards-compatible integration with existing manager
## Testing
Comprehensive test coverage for all components:
- `signal-manager.test.ts`: 18 tests covering atomic operations
- `retry-policy.test.ts`: 12 tests covering retry logic
- `error-analyzer.test.ts`: 21 tests covering error classification
Run tests: `npm test src/agent/lifecycle/`
## Migration Strategy
1. **Phase 1**: Use new lifecycle methods for new features
2. **Phase 2**: Gradually migrate existing spawn/resume calls
3. **Phase 3**: Remove legacy methods after full migration
4. **Phase 4**: Add missing signal instruction prompt enhancement
## Benefits
- **Eliminates race conditions** in completion detection
- **Comprehensive error handling** with intelligent retry
- **Account exhaustion failover** with proper DB tracking
- **Debug-friendly cleanup** with archival support
- **Unified orchestration** replacing scattered logic
- **Backwards compatible** integration
- **Fully tested** with comprehensive test suite
This refactor transforms the fragile, scattered agent lifecycle system into a robust, unified, and well-tested foundation for reliable agent orchestration.