pi-a2a Long-Running Tasks Skill
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Then ask your AI: use the pi-a2a Long-Running Tasks Skill skill
What this skill tells your AI
The instructions your AI receives, as published by espennilsen/pi in extensions/pi-a2a/SKILL.md and read by ahel’s review.
Overview
The pi-a2a extension supports long-running tasks that can execute for hours or days without timeouts. This is essential for:
- Data processing pipelines
- Batch operations
- Research and aggregation tasks
- External API jobs with unpredictable duration
- Any A2A task that exceeds the standard timeout
When to Use
Use long-running tasks when:
- Task execution time is unpredictable or known to exceed 10 minutes
- The remote agent is processing large datasets
- Task involves multiple external API calls
- You want the task to survive Pi restarts
Don't use for:
- Quick queries (< 5 minutes)
- Interactive conversations
- Tasks requiring immediate feedback
Configuration
Enable in settings.json:
{
"pi-a2a": {
"longRunningTasks": {
"enabled": true,
"maxTaskAgeHours": 168,
"resumeRetryAttempts": 3,
"resumeRetryDelayMs": 5000,
"pollingIntervalMs": 300000
}
}
}
```text
### Configuration Options
| Option | Type | Default | Description |
|--------|------|---------|-------------|
| `enabled` | boolean | `false` | Enable long-running task support |
| `maxTaskAgeHours` | number | `168` (7 days) | Maximum task retention period |
| `resumeRetryAttempts` | number | `3` | Retry attempts for resume failures |
| `resumeRetryDelayMs` | number | `5000` | Delay between retries |
| `pollingIntervalMs` | number | `300000` (5 min) | Hub polling interval |
## How It Works
### Architecture
┌─────────────────────────────────────────────────────────────┐ │ 1. Task Initiated │ │ - Task state saved to SQLite │ │ - Session ID assigned │ │ - Agent continues other work │ └─────────────────────────────────────────────────────────────┘ ↓ ┌─────────────────────────────────────────────────────────────┐ │ 2. Background Polling (every 5 min) │ │ - Checks hub for task completion │ │ - Detects state changes │ └─────────────────────────────────────────────────────────────┘ ↓ ┌─────────────────────────────────────────────────────────────┐ │ 3. Task Completes │ │ - State updated in SQLite │ │ - Resume request queued │ └─────────────────────────────────────────────────────────────┘ ↓ ┌─────────────────────────────────────────────────────────────┐ │ 4. Smart Resume Queue │ │ - Waits for agent to be idle │ │ - Processes one request at a time │ │ - Validates session ID (prevents stale callbacks) │ └─────────────────────────────────────────────────────────────┘ ↓ ┌─────────────────────────────────────────────────────────────┐ │ 5. Response Delivered │ │ - Completion message injected into chat │ │ - Task result available │ └─────────────────────────────────────────────────────────────┘
### Session Persistence
Tasks are stored in `db/a2a-long-running.db` with:
- `taskId` - A2A task identifier
- `contextId` - Conversation context
- `sessionId` - Pi session that owns the task
- `state` - Current task state
- `createdAt` / `lastUpdatedAt` - Timestamps
- `response` / `error` - Task result
### Resume Queue
The resume queue ensures responses are delivered at the right time:
1. **Agent Busy**: Queue the resume request
2. **Agent Idle**: Process immediately
3. **Session Mismatch**: Skip (task belongs to old session)
4. **Failure**: Retry with backoff (up to `resumeRetryAttempts`)
## Usage Patterns
### Pattern 1: Long-Running Data Processing
```typescript
// Send task to data processing agent
const result = await a2a_send({
agent: "data-processor",
message: "Process this 10GB dataset...",
});
// Agent continues other work immediately
// Task result delivered when processing completes (hours later)
Pattern 2: Multi-Agent Pipeline
// Start long-running pipeline
const pipelineTask = await a2a_send({
agent: "pipeline-orchestrator",
message: "Run full ETL pipeline",
});
// Check status periodically or wait for completion notification
// Result delivered automatically when pipeline finishes
Pattern 3: Research Aggregation
// Start research task
const researchTask = await a2a_send({
agent: "research-agent",
message: "Aggregate all news about AI safety from past month",
});
// Agent can handle other requests while research runs
// Results delivered when aggregation completes
Best Practices
✅ Do
- Enable for appropriate tasks: Use when tasks exceed 10 minutes
- Monitor task age: Set
maxTaskAgeHoursappropriately for your use case - Handle failures: Check for error messages in completion notifications
- Test session recovery: Verify tasks survive Pi restarts
- Set reasonable polling intervals: Balance responsiveness with resource usage
❌ Don't
- Don't enable for all tasks: Overhead not needed for quick operations
- Don't set polling too low: < 60 seconds creates unnecessary load
- Don't rely on immediate responses: Long-running tasks are asynchronous
- Don't ignore session boundaries: Tasks belong to specific sessions
Monitoring
Check Task Status
# View pending long-running tasks
sqlite3 db/a2a-long-running.db "SELECT task_id, state, created_at FROM long_running_tasks WHERE state NOT IN ('completed', 'failed');"
Check Resume Queue
# View queued resume requests
sqlite3 db/a2a-long-running.db "SELECT task_id, priority, retry_count FROM resume_queue ORDER BY enqueued_at;"
Logs to Monitor
long_running_task_saved- Task state persistedlong_running_task_completed- Task finishedresume_request_enqueued- Resume queuedresume_queue_processed- Response deliveredresume_queue_retry_scheduled- Retry scheduledlong_running_task_poll_error- Polling error
Troubleshooting
Task Not Completing
Symptoms: Task stuck in "working" state for extended period
Solutions:
- Check remote agent health
- Verify hub connectivity
- Increase
pollingIntervalMsif hub is rate-limited - Check logs for
long_running_task_poll_error
Resume Not Processing
Symptoms: Task completed but response not delivered
Solutions:
- Check if agent is busy (resume waits for idle)
- Verify session ID matches current session
- Check retry count (may have exhausted retries)
- Review
resume_queue_*logs
Session Mismatch
Symptoms: resume_queue_stale_session in logs
Cause: Task belongs to previous Pi session
Solutions:
- This is expected behavior - prevents cross-session contamination
- Task result available in previous session's data
- Consider shorter
maxTaskAgeHoursif this occurs frequently
Limitations
- Hub Dependency: Requires A2A hub for polling (can't poll direct agents)
- Session Boundaries: Tasks don't cross session boundaries
- Polling Latency: Completion detected within polling interval (default: 5 min)
- Storage: Tasks consume SQLite storage (pruned after
maxTaskAgeHours)
Example Configuration
Development
{
"pi-a2a": {
"longRunningTasks": {
"enabled": true,
"maxTaskAgeHours": 24,
"resumeRetryAttempts": 5,
"pollingIntervalMs": 60000
}
}
}
Production
{
"pi-a2a": {
"longRunningTasks": {
"enabled": true,
"maxTaskAgeHours": 168,
"resumeRetryAttempts": 3,
"pollingIntervalMs": 300000
}
}
}
Minimal Overhead
{
"pi-a2a": {
"longRunningTasks": {
"enabled": false
}
}
}
Related Features
- A2A Hub: Task status polling requires hub registration
- Session Persistence: Pi stores sessions on disk for recovery
- Smart Resume Queue: Respects agent workload before delivering responses
- Task Timeout: Standard tasks still have
taskTimeoutMs(default: 10 min)
Version History
- v0.1.0: Initial implementation
- LongRunningTaskStore for SQLite persistence
- Session ID tracking
- Smart resume queue
- Background polling
Signals
- GitHub stars
- 118
- Forks
- 13
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
pi-a2a- Source
- github.com/espennilsen/pi