Release v2.3.69

README.md

@@ -1246,62 +1246,19 @@ praisonai "Complex task" --metrics --planning
 
 ### Scheduler CLI:
 
-Run agents 24/7 with built-in safety features. Two modes available:
-
-**Direct Prompt Mode (Simple):**
 ```bash
-# No YAML needed - just provide your task
-praisonai schedule "Check AI news and summarize" --interval hourly
-
-# With options
-praisonai schedule "Monitor server logs" \
-  --interval "*/30m" \
-  --timeout 120 \
-  --max-cost 2.00 \
-  --verbose
+praisonai schedule start <name> "task" --interval hourly
+praisonai schedule list
+praisonai schedule logs <name> [--follow]
+praisonai schedule stop <name>
+praisonai schedule restart <name>
+praisonai schedule delete <name>
+praisonai schedule describe <name>
+praisonai schedule save <name> [file.yaml]
+praisonai schedule "task" --interval hourly  # foreground mode
+praisonai schedule agents.yaml  # foreground mode
 ```
 
-**YAML Mode (Advanced):**
-```bash
-# Use agents.yaml for complex configurations
-praisonai schedule agents.yaml
-
-# With overrides
-praisonai schedule agents.yaml \
-  --interval "*/15m" \
-  --timeout 60 \
-  --max-cost 1.00
-
-# Stop: Press Ctrl+C
-```
-
-**agents.yaml with schedule:**
-```yaml
-framework: praisonai
-
-agents:
-  - name: "AI News Monitor"
-    instructions: "Search and summarize AI news"
-    tools:
-      - search_tool
-
-task: "Search for latest AI news"
-
-schedule:
-  interval: "hourly"         # hourly, daily, */30m, */6h
-  max_retries: 3             # Retry on failure
-  run_immediately: true      # Run once on start
-  timeout: 60                # Max 60s per execution
-  max_cost: 1.00             # Stop after $1.00 spent
-```
-
-**Features:**
-- ⏱️ Timeout protection (prevent runaway executions)
-- 💰 Cost monitoring with budget limits
-- 📊 Real-time statistics (success rate, cost, runtime)
-- 🔄 Automatic retry with exponential backoff
-- 🛡️ Auto-stops when budget reached
-
 ### Image Processing CLI:
 ```bash
 # Process images with vision-based tasks

docker/Dockerfile.chat

@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
 # Install Python packages (using latest versions)
 RUN pip install --no-cache-dir \
     praisonai_tools \
-    "praisonai>=2.3.67" \
+    "praisonai>=2.3.69" \
     "praisonai[chat]" \
     "embedchain[github,youtube]"
 

docker/Dockerfile.dev

@@ -20,7 +20,7 @@ RUN mkdir -p /root/.praison
 # Install Python packages (using latest versions)
 RUN pip install --no-cache-dir \
     praisonai_tools \
-    "praisonai>=2.3.67" \
+    "praisonai>=2.3.69" \
     "praisonai[ui]" \
     "praisonai[chat]" \
     "praisonai[realtime]" \

docker/Dockerfile.ui

@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
 # Install Python packages (using latest versions)
 RUN pip install --no-cache-dir \
     praisonai_tools \
-    "praisonai>=2.3.67" \
+    "praisonai>=2.3.69" \
     "praisonai[ui]" \
     "praisonai[crewai]"
 

src/praisonai/README.md

@@ -1246,62 +1246,19 @@ praisonai "Complex task" --metrics --planning
 
 ### Scheduler CLI:
 
-Run agents 24/7 with built-in safety features. Two modes available:
-
-**Direct Prompt Mode (Simple):**
 ```bash
-# No YAML needed - just provide your task
-praisonai schedule "Check AI news and summarize" --interval hourly
-
-# With options
-praisonai schedule "Monitor server logs" \
-  --interval "*/30m" \
-  --timeout 120 \
-  --max-cost 2.00 \
-  --verbose
+praisonai schedule start <name> "task" --interval hourly
+praisonai schedule list
+praisonai schedule logs <name> [--follow]
+praisonai schedule stop <name>
+praisonai schedule restart <name>
+praisonai schedule delete <name>
+praisonai schedule describe <name>
+praisonai schedule save <name> [file.yaml]
+praisonai schedule "task" --interval hourly  # foreground mode
+praisonai schedule agents.yaml  # foreground mode
 ```
 
-**YAML Mode (Advanced):**
-```bash
-# Use agents.yaml for complex configurations
-praisonai schedule agents.yaml
-
-# With overrides
-praisonai schedule agents.yaml \
-  --interval "*/15m" \
-  --timeout 60 \
-  --max-cost 1.00
-
-# Stop: Press Ctrl+C
-```
-
-**agents.yaml with schedule:**
-```yaml
-framework: praisonai
-
-agents:
-  - name: "AI News Monitor"
-    instructions: "Search and summarize AI news"
-    tools:
-      - search_tool
-
-task: "Search for latest AI news"
-
-schedule:
-  interval: "hourly"         # hourly, daily, */30m, */6h
-  max_retries: 3             # Retry on failure
-  run_immediately: true      # Run once on start
-  timeout: 60                # Max 60s per execution
-  max_cost: 1.00             # Stop after $1.00 spent
-```
-
-**Features:**
-- ⏱️ Timeout protection (prevent runaway executions)
-- 💰 Cost monitoring with budget limits
-- 📊 Real-time statistics (success rate, cost, runtime)
-- 🔄 Automatic retry with exponential backoff
-- 🛡️ Auto-stops when budget reached
-
 ### Image Processing CLI:
 ```bash
 # Process images with vision-based tasks

src/praisonai/praisonai.rb

@@ -3,8 +3,8 @@ class Praisonai < Formula
   
     desc "AI tools for various AI applications"
     homepage "https://github.com/MervinPraison/PraisonAI"
-    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.3.67.tar.gz"
-    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.3.67.tar.gz | shasum -a 256`.split.first
+    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.3.69.tar.gz"
+    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.3.69.tar.gz | shasum -a 256`.split.first
     license "MIT"
   
     depends_on "[email protected]"

src/praisonai/praisonai/cli/features/agent_scheduler.py

@@ -43,8 +43,14 @@ class AgentSchedulerHandler:
             return AgentSchedulerHandler._handle_restart(unknown_args, state_manager, daemon_manager)
         elif subcommand == "delete":
             return AgentSchedulerHandler._handle_delete(unknown_args, state_manager)
+        elif subcommand == "describe":
+            return AgentSchedulerHandler._handle_describe(unknown_args, state_manager, daemon_manager)
+        elif subcommand == "save":
+            return AgentSchedulerHandler._handle_save(unknown_args, state_manager)
         else:
-            print(f"Unknown subcommand: {subcommand}")
+            print(f"❌ Unknown subcommand: {subcommand}")
+            print("\nAvailable commands:")
+            print("  start, list, stop, logs, restart, delete, describe, save")
             return 1
     
     @staticmethod
@@ -286,6 +292,128 @@ class AgentSchedulerHandler:
             print(f"❌ Error: Scheduler '{name}' not found")
             return 1
     
+    @staticmethod
+    def _handle_describe(unknown_args, state_manager, daemon_manager) -> int:
+        """Handle 'schedule describe' command."""
+        from datetime import datetime
+        
+        if not unknown_args:
+            print("❌ Error: Please provide scheduler name")
+            print("\nUsage: praisonai schedule describe <name>")
+            return 1
+        
+        name = unknown_args[0]
+        state = state_manager.load_state(name)
+        
+        if not state:
+            print(f"❌ Error: Scheduler '{name}' not found")
+            print("\nList schedulers with: praisonai schedule list")
+            return 1
+        
+        # Get process status
+        pid = state.get('pid', 0)
+        is_alive = state_manager.is_process_alive(pid)
+        status = "🟢 running" if is_alive else "🔴 stopped"
+        
+        # Calculate uptime
+        started_at = state.get('started_at')
+        uptime = "N/A"
+        if started_at:
+            try:
+                start_time = datetime.fromisoformat(started_at)
+                uptime_delta = datetime.now() - start_time
+                hours = int(uptime_delta.total_seconds() // 3600)
+                minutes = int((uptime_delta.total_seconds() % 3600) // 60)
+                uptime = f"{hours}h {minutes}m"
+            except:
+                pass
+        
+        # Display detailed info
+        print(f"\n{'='*60}")
+        print(f"📋 Scheduler Details: {name}")
+        print(f"{'='*60}")
+        print(f"Status:       {status}")
+        print(f"PID:          {pid}")
+        print(f"Uptime:       {uptime}")
+        print(f"Task:         {state.get('task', 'N/A')}")
+        print(f"Interval:     {state.get('interval', 'N/A')}")
+        print(f"Max Retries:  {state.get('max_retries', 'N/A')}")
+        
+        if state.get('timeout'):
+            print(f"Timeout:      {state['timeout']}s")
+        
+        if state.get('max_cost'):
+            print(f"Budget:       ${state['max_cost']}")
+        
+        print(f"Executions:   {state.get('executions', 0)}")
+        print(f"Total Cost:   ${state.get('cost', 0.0):.4f}")
+        print(f"Started:      {started_at or 'N/A'}")
+        
+        # Log file location
+        log_file = daemon_manager.log_dir / f"{name}.log"
+        print(f"Logs:         {log_file}")
+        
+        print(f"{'='*60}\n")
+        
+        return 0
+    
+    @staticmethod
+    def _handle_save(unknown_args, state_manager) -> int:
+        """Handle 'schedule save' command."""
+        import yaml
+        
+        if not unknown_args:
+            print("❌ Error: Please provide scheduler name")
+            print("\nUsage: praisonai schedule save <name> [output.yaml]")
+            return 1
+        
+        name = unknown_args[0]
+        output_file = unknown_args[1] if len(unknown_args) > 1 else f"{name}.yaml"
+        
+        state = state_manager.load_state(name)
+        
+        if not state:
+            print(f"❌ Error: Scheduler '{name}' not found")
+            return 1
+        
+        # Create YAML config from state
+        yaml_config = {
+            'framework': 'praisonai',
+            'agents': [{
+                'name': name,
+                'role': 'Task Executor',
+                'goal': state.get('task', ''),
+                'instructions': state.get('task', ''),
+                'verbose': True
+            }],
+            'task': state.get('task', ''),
+            'schedule': {
+                'interval': state.get('interval', 'hourly'),
+                'max_retries': state.get('max_retries', 3),
+                'run_immediately': True
+            }
+        }
+        
+        # Add optional fields
+        if state.get('timeout'):
+            yaml_config['schedule']['timeout'] = state['timeout']
+        
+        if state.get('max_cost'):
+            yaml_config['schedule']['max_cost'] = state['max_cost']
+        
+        # Write to file
+        try:
+            with open(output_file, 'w') as f:
+                yaml.dump(yaml_config, f, default_flow_style=False, sort_keys=False)
+            
+            print(f"✅ Configuration saved to: {output_file}")
+            print(f"\nRun with:")
+            print(f"  praisonai schedule {output_file}")
+            return 0
+        except Exception as e:
+            print(f"❌ Error saving configuration: {e}")
+            return 1
+    
     @staticmethod
     def handle_schedule_command(args, unknown_args=None) -> int:
         """

src/praisonai/praisonai/cli/main.py

@@ -236,7 +236,7 @@ class PraisonAI:
                 # Check for subcommands (start, list, stop, logs, restart)
                 subcommand = unknown_args[0] if unknown_args and not unknown_args[0].startswith('-') else None
                 
-                if subcommand in ['start', 'list', 'stop', 'logs', 'restart', 'delete']:
+                if subcommand in ['start', 'list', 'stop', 'logs', 'restart', 'delete', 'describe', 'save']:
                     exit_code = AgentSchedulerHandler.handle_daemon_command(subcommand, args, unknown_args[1:] if len(unknown_args) > 1 else [])
                 else:
                     # Legacy mode: direct scheduling (foreground)

src/praisonai/praisonai/deploy.py

@@ -57,7 +57,7 @@ class CloudDeployer:
             file.write("FROM python:3.11-slim\n")
             file.write("WORKDIR /app\n")
             file.write("COPY . .\n")
-            file.write("RUN pip install flask praisonai==2.3.67 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==2.3.69 gunicorn markdown\n")
             file.write("EXPOSE 8080\n")
             file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
             

src/praisonai/praisonai/scheduler/agent_scheduler.py

@@ -172,6 +172,43 @@ class AgentScheduler:
             "cost_per_execution": round(self._total_cost / self._execution_count, 4) if self._execution_count > 0 else 0
         }
     
+    def _update_state_if_daemon(self):
+        """Update state file with execution stats if running as daemon."""
+        try:
+            import os
+            # Check if we're running as a daemon by looking for state file
+            state_dir = os.path.expanduser("~/.praisonai/schedulers")
+            if not os.path.exists(state_dir):
+                return
+            
+            # Try to find our state file by checking all state files for matching PID
+            current_pid = os.getpid()
+            for state_file in os.listdir(state_dir):
+                if not state_file.endswith('.json'):
+                    continue
+                
+                state_path = os.path.join(state_dir, state_file)
+                try:
+                    import json
+                    with open(state_path, 'r') as f:
+                        state = json.load(f)
+                    
+                    # Check if this is our state file
+                    if state.get('pid') == current_pid:
+                        # Update execution stats
+                        state['executions'] = self._execution_count
+                        state['cost'] = round(self._total_cost, 4)
+                        
+                        # Write back
+                        with open(state_path, 'w') as f:
+                            json.dump(state, f, indent=2)
+                        break
+                except Exception:
+                    continue
+        except Exception as e:
+            # Silently fail - don't break scheduler if state update fails
+            logger.debug(f"Failed to update state: {e}")
+    
     def _run_schedule(self, interval: int, max_retries: int):
         """Internal method to run scheduled agent executions."""
         while not self._stop_event.is_set():

src/praisonai/praisonai/scheduler/daemon_manager.py

@@ -95,15 +95,16 @@ class DaemonManager:
         Returns:
             Process ID
         """
-        # Build command
+        # Build command - use praisonai CLI to run scheduler in foreground
         command = [
             sys.executable,
             "-m",
             "praisonai.cli.main",
             "schedule",
-            task,
+            f'"{task}"',  # Quote the task
             "--interval", interval,
-            "--max-retries", str(max_retries)
+            "--max-retries", str(max_retries),
+            "--verbose"  # Enable verbose to see output
         ]
         
         if timeout:

src/praisonai/praisonai/version.py

@@ -1 +1 @@
-__version__ = "2.3.67"
+__version__ = "2.3.69"