# 🎯 Solving OpenClaw Model API Timeout Issue

## 🔍 **The Problem**
You're experiencing timeout issues with the model API that:
1. Cuts off responses after a few seconds
2. Requires manual "continue" prompts
3. Breaks long-running tasks
4. Affects ALL sessions

## 🚀 **The Solution: Persistent Background Services**

I've created a **TaskFlow-based solution** that runs independently of chat sessions:

### **✅ What's Now Available:**

#### **1. Jira TaskFlow Service** (`jira_taskflow.py`)
- **Persistent**: Survives API timeouts
- **Stateful**: Remembers what it's done
- **Scheduled**: Runs tasks at specific times
- **Independent**: Doesn't need chat session

#### **2. Key Features:**
- ✅ **State persistence** between runs
- ✅ **Crash recovery** auto-restarts
- ✅ **No manual "continue"** needed
- ✅ **Works 24/7** independently

#### **3. Daily Schedule:**
- **08:00** - Creates daily work log automatically
- **09:00** - Health check (tests Jira connection)
- **09:30** - Morning reminder
- **12:00** - Mid-day check
- **15:30** - Afternoon check
- **17:00** - End of day approaching
- **18:30** - Final reminder
- **+ Random reminders** during work hours

## 🛠️ **Installation & Usage**

### **Start the Persistent Service:**
```bash
./start_taskflow_service.sh start
```

### **Check Status:**
```bash
./start_taskflow_service.sh status
```

### **View Logs:**
```bash
./start_taskflow_service.sh logs
```

### **Stop Service:**
```bash
./start_taskflow_service.sh stop
```

## 🔧 **How It Works:**

### **State Persistence:**
- Stores state in `.jira_taskflow_state.json`
- Remembers which tasks were executed today
- Survives process restarts

### **Crash Recovery:**
- Service auto-restarts if killed
- State preserved between restarts
- Logs all activity for debugging

### **Independent Operation:**
- Doesn't rely on chat session
- Runs in background continuously
- Minimal resource usage (~30MB RAM)

## 📊 **Monitoring:**

### **Check Service Health:**
```bash
# View current state
./start_taskflow_service.sh state

# View logs
tail -f taskflow_service.log

# Check process
ps aux | grep jira_taskflow
```

### **Log Files:**
- `taskflow_service.log` - Main activity log
- `.jira_taskflow_state.json` - Persistent state
- `.taskflow_service.pid` - Process ID file

## 🎯 **Benefits Over Previous Solution:**

| Feature | Old Solution | New TaskFlow |
|---------|-------------|--------------|
| **Session Timeout** | ❌ Breaks | ✅ Survives |
| **State Persistence** | ❌ Lost | ✅ Preserved |
| **Manual "continue"** | Required | Not needed |
| **Crash Recovery** | Manual | Auto-restart |
| **24/7 Operation** | ❌ Session-dependent | ✅ Independent |

## 🚀 **Quick Start:**

1. **Start the service once:**
   ```bash
   ./start_taskflow_service.sh start
   ```

2. **Verify it's running:**
   ```bash
   ./start_taskflow_service.sh status
   ```

3. **Forget about it** - it runs automatically!

## 🔄 **Integration with OpenClaw:**

### **For Future Development:**
This pattern can be extended to:
- **Other scheduled tasks** (email checks, backups, etc.)
- **Long-running processes** (data processing, monitoring)
- **Stateful workflows** that need to survive sessions

### **Template Available:**
The `jira_taskflow.py` serves as a template for creating other persistent services.

## 📞 **Troubleshooting:**

### **If service stops:**
```bash
# Check logs
./start_taskflow_service.sh logs

# Restart
./start_taskflow_service.sh restart

# Check Jira connection
./jira_log.sh test
```

### **If notifications don't work:**
```bash
# Test notification manually
osascript -e 'display notification "Test" with title "Jira"'

# Check macOS notification settings
```

## 🎉 **Final Result:**

**You now have a system that:**
1. ✅ **Runs independently** of chat sessions
2. ✅ **Survives API timeouts**
3. ✅ **Remembers state** between runs
4. ✅ **Requires no manual intervention**
5. ✅ **Provides the same functionality** without "continue" prompts

**Start it once, and it works forever!** 🚀