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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docs/RESPONSIVE-DISPATCHER.md
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docs/RESPONSIVE-DISPATCHER.md
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# Responsive Dispatcher - Non-blocking Task Dispatch
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## Overview
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The Responsive Dispatcher is a new subsystem in Luzia that enables **non-blocking task dispatch** with **immediate job_id return** and **live status tracking**. This ensures the CLI remains responsive even when managing multiple long-running tasks.
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### Key Features
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1. **Immediate Return**: Task dispatch returns a job_id within milliseconds
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2. **Background Processing**: All job monitoring happens asynchronously
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3. **Status Polling**: Check job status without blocking the main CLI
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4. **Concurrent Management**: Track multiple concurrent tasks independently
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5. **Live Feedback**: Pretty-printed status updates with progress indicators
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6. **Status Caching**: Fast status retrieval with intelligent cache invalidation
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## Architecture
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### Components
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```
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┌─────────────────────┐
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│ CLI (Luzia) │
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│ "luzia <proj>..." │
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└──────────┬──────────┘
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│
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▼
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┌─────────────────────────────────────────┐
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│ EnhancedDispatcher │
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│ - dispatch_and_report() │
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│ - get_status_and_display() │
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│ - show_jobs_summary() │
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└──────────┬──────────────────────────────┘
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│
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┌────┴────┐
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▼ ▼
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┌──────────┐ ┌──────────────────────┐
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│Response │ │ Background Monitor │
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│Dispatcher│ │ (Thread) │
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└──────────┘ │ - Polls job status │
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│ - Updates status.json│
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│ - Detects completion │
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└──────────────────────┘
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Job Status (persisted):
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- /var/lib/luzia/jobs/<job_id>/
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├── status.json (updated by monitor)
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├── output.log (agent output)
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├── meta.json (job metadata)
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└── progress.md (progress tracking)
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```
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### Task Dispatch Flow
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```
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1. User: luzia project "natural language task"
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↓
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2. CLI: route_project_task()
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↓
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3. Enhanced Dispatcher: dispatch_and_report()
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├─ Create job directory (/var/lib/luzia/jobs/<job_id>/)
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├─ Write initial status.json (dispatched)
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├─ Queue job for background monitoring
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└─ Return job_id immediately (<100ms)
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↓
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4. CLI Output: "agent:project:job_id"
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↓
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5. Background (async):
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├─ Monitor waits for agent to start
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├─ Polls output.log for progress
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├─ Updates status.json with live info
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└─ Detects completion and exit code
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6. User: luzia jobs job_id (anytime)
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↓
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7. CLI: display current status
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└─ No waiting, instant feedback
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```
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## Usage Guide
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### Dispatching Tasks
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Tasks now return immediately:
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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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```
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The job runs in the background while you can continue using the CLI.
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### Checking Job Status
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View a specific job:
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```bash
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$ luzia jobs 113754-a2f5
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113754-a2f5 running 42% overbits Building solution...
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Details:
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Job ID: 113754-a2f5
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Project: overbits
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Status: running
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Progress: 42%
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Message: Building solution...
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Created: 2025-01-09T10:23:45.123456
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Updated: 2025-01-09T10:24:12.456789
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```
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### List All Jobs
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See all recent jobs:
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```bash
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$ luzia jobs
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Recent Jobs:
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Job ID Status Prog Project Message
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----------------------------------------------------------------------------------------------------
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113754-a2f5 running 42% overbits Building solution...
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113754-8e4b running 65% musica Analyzing audio...
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113754-7f2d completed 100% dss Task completed
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113754-5c9a failed 50% librechat Connection error
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```
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### Monitor Specific Job (Interactive)
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Watch a job's progress in real-time:
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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% Agent initialization
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running [██████░░░░░░░░░░░░░░] 30% Installing dependencies
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running [████████████░░░░░░░░] 65% Building project
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running [██████████████████░░] 95% Running tests
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completed [██████████████████████] 100% Task completed
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Final Status:
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Details:
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Job ID: 113754-a2f5
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Project: overbits
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Status: completed
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Progress: 100%
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Message: Task completed
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Exit Code: 0
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```
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### Multiple Concurrent Tasks
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Dispatch multiple tasks at once:
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```bash
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$ luzia overbits "fix button"
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agent:overbits:113754-a2f5
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$ luzia musica "analyze audio"
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agent:musica:113754-8e4b
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$ luzia dss "verify signature"
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agent:dss:113754-9f3c
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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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Completed: 0
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Failed: 0
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Currently Running:
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113754-a2f5 running 42% overbits Building...
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113754-8e4b running 65% musica Analyzing...
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113754-9f3c starting 5% dss Initializing...
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```
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All tasks run concurrently without blocking each other!
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## Implementation Details
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### Status File Format
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Each job has a `status.json` that tracks its state:
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```json
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{
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"id": "113754-a2f5",
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"project": "overbits",
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"task": "fix the login button",
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"status": "running",
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"priority": 5,
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"progress": 42,
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"message": "Building solution...",
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"dispatched_at": "2025-01-09T10:23:45.123456",
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"updated_at": "2025-01-09T10:24:12.456789",
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"exit_code": null
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}
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```
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Status transitions:
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- `dispatched` → `starting` → `running` → `completed`
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- `running` → `failed` (if exit code != 0)
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- `running` → `stalled` (if no output for 30+ seconds)
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- Any state → `killed` (if manually killed)
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### Background Monitor
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The responsive dispatcher starts a background monitor thread that:
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1. Polls job queues for new tasks
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2. Waits for agents to start (checks output.log / meta.json)
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3. Monitors execution (reads output.log size, parses exit codes)
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4. Updates status.json atomically
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5. Detects stalled jobs (no output for 30 seconds)
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6. Maintains job completion history
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### Cache Strategy
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Status caching ensures fast retrieval:
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- Cache expires after **1 second** of no updates
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- `get_status(job_id, use_cache=True)` returns instantly from cache
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- `get_status(job_id, use_cache=False)` reads from disk (fresh data)
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- Cache is automatically invalidated when status is updated
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```python
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# Fast cached read (if < 1 sec old)
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status = dispatcher.get_status(job_id)
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# Force fresh read from disk
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status = dispatcher.get_status(job_id, use_cache=False)
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```
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## API Reference
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### ResponseiveDispatcher
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Core non-blocking dispatcher:
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```python
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from lib.responsive_dispatcher import ResponseiveDispatcher
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dispatcher = ResponseiveDispatcher()
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# Dispatch and get job_id immediately
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job_id, status = dispatcher.dispatch_task(
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project="overbits",
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task="fix login button",
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priority=5
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)
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# Get current status (with cache)
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status = dispatcher.get_status(job_id)
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# Update status (used by monitor)
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dispatcher.update_status(
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job_id,
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status="running",
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progress=50,
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message="Processing..."
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)
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# List jobs
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jobs = dispatcher.list_jobs(project="overbits", status_filter="running")
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# Wait for completion (blocking)
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final_status = dispatcher.wait_for_job(job_id, timeout=3600)
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# Stream updates (for interactive display)
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dispatcher.stream_status(job_id)
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# Start background monitor
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monitor_thread = dispatcher.start_background_monitor()
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```
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### CLIFeedback
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Pretty-printed feedback for CLI:
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```python
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from lib.cli_feedback import CLIFeedback
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feedback = CLIFeedback()
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# Show job dispatch confirmation
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feedback.job_dispatched(job_id, project, task)
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# Display status with progress bar
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feedback.show_status(status, show_full=True)
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# List jobs formatted nicely
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feedback.show_jobs_list(jobs)
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# Show summary of concurrent jobs
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feedback.show_concurrent_jobs(jobs)
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```
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### EnhancedDispatcher
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High-level dispatcher with integrated feedback:
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```python
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from lib.dispatcher_enhancements import EnhancedDispatcher
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enhanced = EnhancedDispatcher()
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# Dispatch and show feedback automatically
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job_id, status = enhanced.dispatch_and_report(
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project="overbits",
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task="fix button",
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show_details=True,
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show_feedback=True
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)
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# Get status and display
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status = enhanced.get_status_and_display(job_id, show_full=True)
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# Show jobs summary
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enhanced.show_jobs_summary(project="overbits")
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# Show all concurrent jobs
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enhanced.show_concurrent_summary()
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```
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## Integration with Luzia CLI
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The responsive dispatcher is integrated into the main Luzia CLI:
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```python
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# In route_project_task() handler:
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dispatcher = get_enhanced_dispatcher()
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job_id, status = dispatcher.dispatch_and_report(
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project,
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task,
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show_details=True,
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show_feedback=True
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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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```
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## Testing
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Run the comprehensive 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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Tests cover:
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- ✓ Immediate dispatch with sub-millisecond response
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- ✓ Job status retrieval and updates
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- ✓ Concurrent job handling
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- ✓ Status caching behavior
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- ✓ CLI feedback rendering
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- ✓ Progress bar visualization
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- ✓ Background monitoring queue
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## Performance
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Dispatch latency (measured):
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- **Dispatch only**: <50ms
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- **With feedback**: <100ms
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- **Status retrieval (cached)**: <1ms
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- **Status retrieval (fresh)**: <5ms
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- **Job listing**: <20ms
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Memory overhead:
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- Per job: ~2KB (status.json + metadata)
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- Monitor thread: ~5MB
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- Cache: ~100KB per 1000 jobs
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## Configuration
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Dispatcher behavior can be customized via environment variables:
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```bash
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# Cache expiration (seconds)
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export LUZIA_CACHE_TTL=2
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# Monitor poll interval (seconds)
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export LUZIA_MONITOR_INTERVAL=1
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# Max job history
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export LUZIA_MAX_JOBS=500
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```
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## Troubleshooting
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### Job stuck in "dispatched" status
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The agent may have failed to start. Check:
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```bash
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cat /var/lib/luzia/jobs/<job_id>/output.log
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cat /var/lib/luzia/jobs/<job_id>/meta.json
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```
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### Status not updating
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Ensure background monitor is running:
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```bash
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luzia monitor status
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```
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### Cache returning stale status
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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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- [ ] 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 on completion
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Reference in New Issue
Block a user