Codewalkers/docs/archive/agent-lifecycle-refactor.md

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

// 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

// 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:

const lifecycleController = createLifecycleController({
  repository,
  processManager,
  cleanupManager,
  accountRepository,
  debug
});

Manager Integration

The MultiProviderAgentManager now provides lifecycle-managed methods alongside legacy methods:

// 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.