Files
luzia/docs/DISPATCHER-INTEGRATION-GUIDE.md
admin ec33ac1936 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>
2026-01-14 10:42:16 -03:00

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9.3 KiB
Markdown

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