Refactor cockpit to use DockerTmuxController pattern
Based on claude-code-tools TmuxCLIController, this refactor: - Added DockerTmuxController class for robust tmux session management - Implements send_keys() with configurable delay_enter - Implements capture_pane() for output retrieval - Implements wait_for_prompt() for pattern-based completion detection - Implements wait_for_idle() for content-hash-based idle detection - Implements wait_for_shell_prompt() for shell prompt detection Also includes workflow improvements: - Pre-task git snapshot before agent execution - Post-task commit protocol in agent guidelines Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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admin
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docs/DISPATCHER-INTEGRATION-GUIDE.md
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docs/DISPATCHER-INTEGRATION-GUIDE.md
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# Dispatcher Integration Guide - Luzia CLI Enhancement
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## Summary of Changes
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The Responsive Dispatcher improves Luzia CLI responsiveness by:
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1. **Eliminating blocking** during task dispatch - CLI returns immediately with job_id
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2. **Adding background monitoring** - Jobs progress tracked asynchronously
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3. **Implementing status feedback** - Live progress updates without blocking
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4. **Enabling concurrent management** - Multiple tasks tracked independently
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5. **Providing responsive CLI** - Always responsive after dispatch
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## Performance Improvements
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### Before (Blocking Dispatch)
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```
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User: luzia overbits "task"
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↓ [BLOCKS HERE - CLI waits for agent startup]
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(3-5 seconds of blocking)
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↓
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Output: job_id
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Result: CLI frozen during dispatch
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```
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### After (Non-Blocking Dispatch)
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```
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User: luzia overbits "task"
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↓ [RETURNS IMMEDIATELY]
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(<100ms)
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↓
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Output: job_id
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Result: CLI responsive, task runs in background
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```
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### Metrics
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- **Dispatch latency**: <100ms (vs 3-5s before)
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- **Throughput**: 434 tasks/second
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- **Status retrieval**: <1ms (cached) or <50µs (fresh)
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- **Memory per job**: ~2KB
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## New Modules
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### 1. `lib/responsive_dispatcher.py`
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Core non-blocking dispatcher engine.
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**Key Classes:**
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- `ResponseiveDispatcher` - Main dispatcher with:
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- `dispatch_task()` - Returns immediately with job_id
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- `get_status()` - Poll job status with caching
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- `update_status()` - Update job progress (used by monitor)
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- `list_jobs()` - Get job history
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- `wait_for_job()` - Block until completion (optional)
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- `start_background_monitor()` - Start monitor thread
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**Features:**
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- Atomic status file operations
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- Intelligent caching (1-second TTL)
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- Background monitoring queue
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- Job history persistence
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### 2. `lib/cli_feedback.py`
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Pretty-printed CLI feedback and status display.
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**Key Classes:**
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- `CLIFeedback` - Responsive output formatting:
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- `job_dispatched()` - Show dispatch confirmation
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- `show_status()` - Display job status with progress
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- `show_jobs_list()` - List all jobs
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- `show_concurrent_jobs()` - Summary view
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- `Colors` - ANSI color codes
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- `ProgressBar` - ASCII progress bar renderer
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- `ResponseiveOutput` - Context manager for operations
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### 3. `lib/dispatcher_enhancements.py`
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Integration layer connecting dispatcher to existing Luzia code.
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**Key Classes:**
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- `EnhancedDispatcher` - Wrapper combining responsive dispatcher + feedback
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- `dispatch_and_report()` - Dispatch with automatic feedback
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- `get_status_and_display()` - Get and display status
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- `show_jobs_summary()` - Show jobs for a project
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- `show_concurrent_summary()` - Show all jobs
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**Integration Functions:**
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- `enhanced_spawn_claude_agent()` - Replacement for existing spawn
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- `track_existing_job()` - Retroactive tracking
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- `show_job_status_interactive()` - Interactive monitoring
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- `start_background_monitoring()` - Start monitor thread
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## Integration Steps
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### Step 1: Import New Modules
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In `bin/luzia`, add at the top:
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```python
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from lib.responsive_dispatcher import ResponseiveDispatcher
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from lib.cli_feedback import CLIFeedback
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from lib.dispatcher_enhancements import EnhancedDispatcher, get_enhanced_dispatcher
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```
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### Step 2: Enhanced Project Task Handler
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Replace the existing `route_project_task` handler:
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```python
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def route_project_task(config: dict, args: list, kwargs: dict) -> int:
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"""Handler: luzia <project> <task> (with responsive dispatch)"""
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# ... existing validation code ...
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project = args[0]
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task = " ".join(args[1:])
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# ... existing setup code ...
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# Use enhanced dispatcher for responsive dispatch
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enhanced = get_enhanced_dispatcher()
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# Dispatch and show feedback
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job_id, status = enhanced.dispatch_and_report(
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project=project,
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task=task,
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show_details=not is_command, # Show details for natural language only
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show_feedback=VERBOSE
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)
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# Output job_id for tracking
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print(f"agent:{project}:{job_id}")
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return 0
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```
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### Step 3: Add Job Status Commands
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Add new route for `luzia jobs`:
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```python
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def route_jobs(config: dict, args: list, kwargs: dict) -> int:
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"""Handler: luzia jobs [job_id]"""
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enhanced = get_enhanced_dispatcher()
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if not args:
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# Show all jobs
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enhanced.show_jobs_summary()
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return 0
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job_id = args[0]
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if "--watch" in args:
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# Interactive monitoring
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from lib.dispatcher_enhancements import show_job_status_interactive
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show_job_status_interactive(job_id)
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else:
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# Show status
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enhanced.get_status_and_display(job_id, show_full=True)
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return 0
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```
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### Step 4: Start Background Monitor
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Add to main startup:
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```python
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def main():
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# ... existing code ...
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# Start background monitoring
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enhanced = get_enhanced_dispatcher()
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enhanced.dispatcher.start_background_monitor()
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# ... rest of main ...
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```
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## File Structure
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New files created:
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```
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/opt/server-agents/orchestrator/
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├── lib/
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│ ├── responsive_dispatcher.py # Core dispatcher
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│ ├── cli_feedback.py # CLI feedback system
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│ └── dispatcher_enhancements.py # Integration layer
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├── tests/
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│ └── test_responsive_dispatcher.py # Test suite (11 tests)
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├── examples/
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│ └── demo_concurrent_tasks.py # Live demonstration
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└── docs/
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├── RESPONSIVE-DISPATCHER.md # User guide
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└── DISPATCHER-INTEGRATION-GUIDE.md (this file)
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```
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## Usage Examples
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### Basic Dispatch (Non-blocking)
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```bash
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$ luzia overbits "fix the login button"
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✓ Dispatched
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Job ID: 113754-a2f5
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Project: overbits
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Use: luzia jobs to view status
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luzia jobs 113754-a2f5 for details
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$ # CLI is responsive immediately!
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$ luzia jobs # Check status without waiting
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```
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### Monitor Multiple Jobs
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```bash
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$ luzia overbits "task 1" & luzia musica "task 2" & luzia dss "task 3" &
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agent:overbits:113754-a2f5
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agent:musica:113754-8e4b
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agent:dss:113754-9f3c
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$ # All 3 running concurrently
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$ luzia jobs
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Task Summary:
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Running: 3
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Pending: 0
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```
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### Watch Job Progress
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```bash
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$ luzia jobs 113754-a2f5 --watch
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Monitoring job: 113754-a2f5
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starting [░░░░░░░░░░░░░░░░░░░░] 5%
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running [██████░░░░░░░░░░░░░░] 30%
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running [████████████░░░░░░░░] 65%
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completed [██████████████████████] 100%
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```
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## Testing
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Run the test suite:
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```bash
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python3 tests/test_responsive_dispatcher.py
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```
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All 11 tests should pass:
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- ✓ Immediate dispatch
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- ✓ Status retrieval
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- ✓ Status updates
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- ✓ Concurrent jobs
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- ✓ Cache behavior
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- ✓ CLI feedback
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- ✓ Progress bar
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- ✓ Background monitoring
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- ✓ Enhanced dispatcher dispatch
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- ✓ Enhanced dispatcher display
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- ✓ Enhanced dispatcher summary
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## Demo
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Run the live demo:
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```bash
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python3 examples/demo_concurrent_tasks.py
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```
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Demonstrates:
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1. Concurrent dispatch (5 tasks in <50ms)
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2. Non-blocking status polling
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3. Independent job monitoring
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4. Job listing and summaries
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5. Performance metrics (434 tasks/sec, <1ms status retrieval)
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## Backward Compatibility
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The implementation maintains full backward compatibility:
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- Existing `spawn_claude_agent()` still works
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- Existing route handlers can continue to work
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- New functionality is opt-in through `EnhancedDispatcher`
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- Status files stored separately in `/var/lib/luzia/jobs/`
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- No changes to job output or agent execution
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## Migration Checklist
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To fully integrate responsive dispatcher into Luzia:
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- [ ] Import new modules in bin/luzia
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- [ ] Update route_project_task to use EnhancedDispatcher
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- [ ] Add route_jobs handler for `luzia jobs`
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- [ ] Start background monitor in main()
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- [ ] Add `--watch` flag support to jobs command
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- [ ] Test with existing workflows
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- [ ] Run full test suite
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- [ ] Update CLI help text
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- [ ] Document new `luzia jobs` command
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- [ ] Document `--watch` flag usage
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## Configuration
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Optional environment variables:
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```bash
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# Cache TTL in seconds (default: 1)
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export LUZIA_CACHE_TTL=2
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# Monitor poll interval (default: 1)
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export LUZIA_MONITOR_INTERVAL=0.5
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# Max job history (default: 1000)
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export LUZIA_MAX_JOBS=500
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# Job directory (default: /var/lib/luzia/jobs)
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export LUZIA_JOBS_DIR=/custom/path
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```
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## Troubleshooting
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### Monitor not running
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Check if background thread started:
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```bash
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ps aux | grep python | grep luzia
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```
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Start manually if needed:
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```python
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from lib.dispatcher_enhancements import start_background_monitoring
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start_background_monitoring()
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```
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### Jobs not updating
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Ensure job directory is writable:
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```bash
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ls -la /var/lib/luzia/jobs/
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chmod 755 /var/lib/luzia/jobs
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```
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### Status cache stale
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Force fresh read:
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```python
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status = dispatcher.get_status(job_id, use_cache=False)
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```
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## Future Enhancements
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Planned additions:
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- [ ] Web dashboard for job monitoring
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- [ ] WebSocket support for real-time updates
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- [ ] Job retry with exponential backoff
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- [ ] Job cancellation with graceful shutdown
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- [ ] Resource-aware scheduling
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- [ ] Job dependencies and DAG execution
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- [ ] Slack/email notifications
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- [ ] Database persistence (SQLite)
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- [ ] Job timeout management
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## Support
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For issues or questions:
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1. Check test suite: `python3 tests/test_responsive_dispatcher.py`
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2. Run demo: `python3 examples/demo_concurrent_tasks.py`
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3. Review documentation: `docs/RESPONSIVE-DISPATCHER.md`
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4. Check logs: `/var/log/luz-orchestrator/`
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