add tracing cookbook

cookbook/README.md

@@ -20,6 +20,7 @@
 | [Thinking](https://github.com/The-Pocket/PocketFlow/tree/main/cookbook/pocketflow-thinking) | ★☆☆ <br> *Beginner*   | Solve complex reasoning problems through Chain-of-Thought |
 | [Memory](https://github.com/The-Pocket/PocketFlow/tree/main/cookbook/pocketflow-chat-memory) | ★☆☆ <br> *Beginner* | A chat bot with short-term and long-term memory |
 | [MCP](https://github.com/The-Pocket/PocketFlow/tree/main/cookbook/pocketflow-mcp) | ★☆☆ <br> *Beginner* |  Agent using Model Context Protocol for numerical operations |
+| [Tracing](https://github.com/The-Pocket/PocketFlow/tree/main/cookbook/pocketflow-tracing) | ★☆☆ <br> *Beginner* |  Trace and visualize the execution of your flow |
 
 </div>
 

cookbook/pocketflow-tracing/.env.example

@@ -0,0 +1,20 @@
+# PocketFlow Tracing Configuration Template
+# Copy this file to .env and replace the placeholder values with your actual Langfuse credentials
+
+# Required Langfuse configuration
+LANGFUSE_SECRET_KEY=your-langfuse-secret-key
+LANGFUSE_PUBLIC_KEY=your-langfuse-public-key
+LANGFUSE_HOST=your-langfuse-host-url
+
+# Optional tracing configuration
+POCKETFLOW_TRACING_DEBUG=true
+POCKETFLOW_TRACE_INPUTS=true
+POCKETFLOW_TRACE_OUTPUTS=true
+POCKETFLOW_TRACE_PREP=true
+POCKETFLOW_TRACE_EXEC=true
+POCKETFLOW_TRACE_POST=true
+POCKETFLOW_TRACE_ERRORS=true
+
+# Optional session/user tracking
+POCKETFLOW_SESSION_ID=your-session-id
+POCKETFLOW_USER_ID=your-user-id

cookbook/pocketflow-tracing/README.md

@@ -0,0 +1,290 @@
+# PocketFlow Tracing with Langfuse
+
+This cookbook provides comprehensive observability for PocketFlow workflows using [Langfuse](https://langfuse.com/) as the tracing backend. With minimal code changes (just adding a decorator), you can automatically trace all node executions, inputs, outputs, and errors in your PocketFlow workflows.
+
+## 🎯 Features
+
+- **Automatic Tracing**: Trace entire flows with a single decorator
+- **Node-Level Observability**: Automatically trace `prep`, `exec`, and `post` phases of each node
+- **Input/Output Tracking**: Capture all data flowing through your workflow
+- **Error Tracking**: Automatically capture and trace exceptions
+- **Async Support**: Full support for AsyncFlow and AsyncNode
+- **Minimal Code Changes**: Just add `@trace_flow()` to your flow classes
+- **Langfuse Integration**: Leverage Langfuse's powerful observability platform
+
+## 🚀 Quick Start
+
+### 1. Install Dependencies
+
+```bash
+pip install -r requirements.txt
+```
+
+### 2. Environment Setup
+
+Copy the example environment file and configure your Langfuse credentials:
+
+```bash
+cp .env.example .env
+```
+
+Then edit the `.env` file with your actual Langfuse configuration:
+
+```env
+LANGFUSE_SECRET_KEY=your-langfuse-secret-key
+LANGFUSE_PUBLIC_KEY=your-langfuse-public-key
+LANGFUSE_HOST=your-langfuse-host-url
+POCKETFLOW_TRACING_DEBUG=true
+```
+
+**Note**: Replace the placeholder values with your actual Langfuse credentials and host URL.
+
+### 3. Basic Usage
+
+```python
+from pocketflow import Node, Flow
+from tracing import trace_flow
+
+class MyNode(Node):
+    def prep(self, shared):
+        return shared["input"]
+    
+    def exec(self, data):
+        return f"Processed: {data}"
+    
+    def post(self, shared, prep_res, exec_res):
+        shared["output"] = exec_res
+        return "default"
+
+@trace_flow()  # 🎉 That's it! Your flow is now traced
+class MyFlow(Flow):
+    def __init__(self):
+        super().__init__(start=MyNode())
+
+# Run your flow - tracing happens automatically
+flow = MyFlow()
+shared = {"input": "Hello World"}
+flow.run(shared)
+```
+
+## 📊 What Gets Traced
+
+When you apply the `@trace_flow()` decorator, the system automatically traces:
+
+### Flow Level
+- **Flow Start/End**: Overall execution time and status
+- **Input Data**: Initial shared state when flow starts
+- **Output Data**: Final shared state when flow completes
+- **Errors**: Any exceptions that occur during flow execution
+
+### Node Level
+For each node in your flow, the system traces:
+
+- **prep() Phase**: 
+  - Input: `shared` data
+  - Output: `prep_res` returned by prep method
+  - Execution time and any errors
+
+- **exec() Phase**:
+  - Input: `prep_res` from prep phase
+  - Output: `exec_res` returned by exec method
+  - Execution time and any errors
+  - Retry attempts (if configured)
+
+- **post() Phase**:
+  - Input: `shared`, `prep_res`, `exec_res`
+  - Output: Action string returned
+  - Execution time and any errors
+
+## 🔧 Configuration Options
+
+### Basic Configuration
+
+```python
+from tracing import trace_flow, TracingConfig
+
+# Use environment variables (default)
+@trace_flow()
+class MyFlow(Flow):
+    pass
+
+# Custom flow name
+@trace_flow(flow_name="CustomFlowName")
+class MyFlow(Flow):
+    pass
+
+# Custom session and user IDs
+@trace_flow(session_id="session-123", user_id="user-456")
+class MyFlow(Flow):
+    pass
+```
+
+### Advanced Configuration
+
+```python
+from tracing import TracingConfig
+
+# Create custom configuration
+config = TracingConfig(
+    langfuse_secret_key="your-secret-key",
+    langfuse_public_key="your-public-key", 
+    langfuse_host="https://your-langfuse-instance.com",
+    debug=True,
+    trace_inputs=True,
+    trace_outputs=True,
+    trace_errors=True
+)
+
+@trace_flow(config=config)
+class MyFlow(Flow):
+    pass
+```
+
+## 📁 Examples
+
+### Basic Synchronous Flow
+See `examples/basic_example.py` for a complete example of tracing a simple synchronous flow.
+
+```bash
+cd examples
+python basic_example.py
+```
+
+### Asynchronous Flow
+See `examples/async_example.py` for tracing AsyncFlow and AsyncNode.
+
+```bash
+cd examples  
+python async_example.py
+```
+
+## 🔍 Viewing Traces
+
+After running your traced flows, visit your Langfuse dashboard to view the traces:
+
+**Dashboard URL**: Use the URL you configured in `LANGFUSE_HOST` environment variable
+
+In the dashboard you'll see:
+- **Traces**: One trace per flow execution
+- **Spans**: Individual node phases (prep, exec, post)
+- **Input/Output Data**: All data flowing through your workflow
+- **Performance Metrics**: Execution times for each phase
+- **Error Details**: Stack traces and error messages
+
+The tracings in examples.
+![alt text](screenshots/chrome_2025-06-27_12-05-28.png)
+
+Detailed tracing for a node.
+![langfuse](screenshots/chrome_2025-06-27_12-07-56.png)
+
+## 🛠️ Advanced Usage
+
+### Custom Tracer Configuration
+
+```python
+from tracing import TracingConfig, LangfuseTracer
+
+# Create custom configuration
+config = TracingConfig.from_env()
+config.debug = True
+
+# Use tracer directly (for advanced use cases)
+tracer = LangfuseTracer(config)
+```
+
+### Environment Variables
+
+You can customize tracing behavior with these environment variables:
+
+```env
+# Required Langfuse configuration
+LANGFUSE_SECRET_KEY=your-secret-key
+LANGFUSE_PUBLIC_KEY=your-public-key
+LANGFUSE_HOST=your-langfuse-host
+
+# Optional tracing configuration
+POCKETFLOW_TRACING_DEBUG=true
+POCKETFLOW_TRACE_INPUTS=true
+POCKETFLOW_TRACE_OUTPUTS=true
+POCKETFLOW_TRACE_PREP=true
+POCKETFLOW_TRACE_EXEC=true
+POCKETFLOW_TRACE_POST=true
+POCKETFLOW_TRACE_ERRORS=true
+
+# Optional session/user tracking
+POCKETFLOW_SESSION_ID=your-session-id
+POCKETFLOW_USER_ID=your-user-id
+```
+
+## 🐛 Troubleshooting
+
+### Common Issues
+
+1. **"langfuse package not installed"**
+   ```bash
+   pip install langfuse
+   ```
+
+2. **"Langfuse client initialization failed"**
+   - Check your `.env` file configuration
+   - Verify Langfuse server is running at the specified host
+   - Check network connectivity
+
+3. **"No traces appearing in dashboard"**
+   - Ensure `POCKETFLOW_TRACING_DEBUG=true` to see debug output
+   - Check that your flow is actually being executed
+   - Verify Langfuse credentials are correct
+
+### Debug Mode
+
+Enable debug mode to see detailed tracing information:
+
+```env
+POCKETFLOW_TRACING_DEBUG=true
+```
+
+This will print detailed information about:
+- Langfuse client initialization
+- Trace and span creation
+- Data serialization
+- Error messages
+
+## 📚 API Reference
+
+### `@trace_flow()`
+
+Decorator to add Langfuse tracing to PocketFlow flows.
+
+**Parameters:**
+- `config` (TracingConfig, optional): Custom configuration. If None, loads from environment.
+- `flow_name` (str, optional): Custom name for the flow. If None, uses class name.
+- `session_id` (str, optional): Session ID for grouping related traces.
+- `user_id` (str, optional): User ID for the trace.
+
+### `TracingConfig`
+
+Configuration class for tracing settings.
+
+**Methods:**
+- `TracingConfig.from_env()`: Create config from environment variables
+- `validate()`: Check if configuration is valid
+- `to_langfuse_kwargs()`: Convert to Langfuse client kwargs
+
+### `LangfuseTracer`
+
+Core tracer class for Langfuse integration.
+
+**Methods:**
+- `start_trace()`: Start a new trace
+- `end_trace()`: End the current trace
+- `start_node_span()`: Start a span for node execution
+- `end_node_span()`: End a node execution span
+- `flush()`: Flush pending traces to Langfuse
+
+## 🤝 Contributing
+
+This cookbook is designed to be a starting point for PocketFlow observability. Feel free to extend and customize it for your specific needs!
+
+## 📄 License
+
+This cookbook follows the same license as PocketFlow.

cookbook/pocketflow-tracing/examples/async_example.py

@@ -0,0 +1,140 @@
+#!/usr/bin/env python3
+"""
+Async example demonstrating PocketFlow tracing with Langfuse.
+
+This example shows how to use the @trace_flow decorator with AsyncFlow
+and AsyncNode to trace asynchronous workflows.
+"""
+
+import asyncio
+import sys
+import os
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+
+# Add parent directory to path to import pocketflow and tracing
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "..", ".."))
+sys.path.insert(0, os.path.dirname(os.path.dirname(__file__)))
+
+from pocketflow import AsyncNode, AsyncFlow
+from tracing import trace_flow, TracingConfig
+
+
+class AsyncDataFetchNode(AsyncNode):
+    """An async node that simulates fetching data."""
+
+    async def prep_async(self, shared):
+        """Extract the query from shared data."""
+        query = shared.get("query", "default")
+        return query
+
+    async def exec_async(self, query):
+        """Simulate async data fetching."""
+        print(f"🔍 Fetching data for query: {query}")
+
+        # Simulate async operation
+        await asyncio.sleep(1)
+
+        # Return mock data
+        data = {
+            "query": query,
+            "results": [f"Result {i} for {query}" for i in range(3)],
+            "timestamp": "2024-01-01T00:00:00Z",
+        }
+        return data
+
+    async def post_async(self, shared, prep_res, exec_res):
+        """Store the fetched data."""
+        shared["fetched_data"] = exec_res
+        return "process"
+
+
+class AsyncDataProcessNode(AsyncNode):
+    """An async node that processes the fetched data."""
+
+    async def prep_async(self, shared):
+        """Get the fetched data."""
+        return shared.get("fetched_data", {})
+
+    async def exec_async(self, data):
+        """Process the data asynchronously."""
+        print("⚙️ Processing fetched data...")
+
+        # Simulate async processing
+        await asyncio.sleep(0.5)
+
+        # Process the results
+        processed_results = []
+        for result in data.get("results", []):
+            processed_results.append(f"PROCESSED: {result}")
+
+        return {
+            "original_query": data.get("query"),
+            "processed_results": processed_results,
+            "result_count": len(processed_results),
+        }
+
+    async def post_async(self, shared, prep_res, exec_res):
+        """Store the processed data."""
+        shared["processed_data"] = exec_res
+        return "default"
+
+
+@trace_flow(flow_name="AsyncDataProcessingFlow")
+class AsyncDataProcessingFlow(AsyncFlow):
+    """An async flow that fetches and processes data."""
+
+    def __init__(self):
+        # Create async nodes
+        fetch_node = AsyncDataFetchNode()
+        process_node = AsyncDataProcessNode()
+
+        # Connect nodes
+        fetch_node - "process" >> process_node
+
+        # Initialize async flow
+        super().__init__(start=fetch_node)
+
+
+async def main():
+    """Run the async tracing example."""
+    print("🚀 Starting PocketFlow Async Tracing Example")
+    print("=" * 50)
+
+    # Create the async flow
+    flow = AsyncDataProcessingFlow()
+
+    # Prepare shared data
+    shared = {"query": "machine learning tutorials"}
+
+    print(f"📥 Input: {shared}")
+
+    # Run the async flow (this will be automatically traced)
+    try:
+        result = await flow.run_async(shared)
+        print(f"📤 Output: {shared}")
+        print(f"🎯 Result: {result}")
+        print("✅ Async flow completed successfully!")
+
+        # Print the processed data
+        if "processed_data" in shared:
+            processed = shared["processed_data"]
+            print(
+                f"🎉 Processed {processed['result_count']} results for query: {processed['original_query']}"
+            )
+            for result in processed["processed_results"]:
+                print(f"   - {result}")
+
+    except Exception as e:
+        print(f"❌ Async flow failed with error: {e}")
+        raise
+
+    print("\n📊 Check your Langfuse dashboard to see the async trace!")
+    langfuse_host = os.getenv("LANGFUSE_HOST", "your-langfuse-host")
+    print(f"   Dashboard URL: {langfuse_host}")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

cookbook/pocketflow-tracing/examples/basic_example.py

@@ -0,0 +1,110 @@
+#!/usr/bin/env python3
+"""
+Basic example demonstrating PocketFlow tracing with Langfuse.
+
+This example shows how to use the @trace_flow decorator to automatically
+trace a simple PocketFlow workflow.
+"""
+
+import sys
+import os
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+
+# Add parent directory to path to import pocketflow and tracing
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "..", ".."))
+sys.path.insert(0, os.path.dirname(os.path.dirname(__file__)))
+
+from pocketflow import Node, Flow
+from tracing import trace_flow, TracingConfig
+
+
+class GreetingNode(Node):
+    """A simple node that creates a greeting message."""
+
+    def prep(self, shared):
+        """Extract the name from shared data."""
+        name = shared.get("name", "World")
+        return name
+
+    def exec(self, name):
+        """Create a greeting message."""
+        greeting = f"Hello, {name}!"
+        return greeting
+
+    def post(self, shared, prep_res, exec_res):
+        """Store the greeting in shared data."""
+        shared["greeting"] = exec_res
+        return "default"
+
+
+class UppercaseNode(Node):
+    """A node that converts the greeting to uppercase."""
+
+    def prep(self, shared):
+        """Get the greeting from shared data."""
+        return shared.get("greeting", "")
+
+    def exec(self, greeting):
+        """Convert to uppercase."""
+        return greeting.upper()
+
+    def post(self, shared, prep_res, exec_res):
+        """Store the uppercase greeting."""
+        shared["uppercase_greeting"] = exec_res
+        return "default"
+
+
+@trace_flow(flow_name="BasicGreetingFlow")
+class BasicGreetingFlow(Flow):
+    """A simple flow that creates and processes a greeting."""
+
+    def __init__(self):
+        # Create nodes
+        greeting_node = GreetingNode()
+        uppercase_node = UppercaseNode()
+
+        # Connect nodes
+        greeting_node >> uppercase_node
+
+        # Initialize flow
+        super().__init__(start=greeting_node)
+
+
+def main():
+    """Run the basic tracing example."""
+    print("🚀 Starting PocketFlow Tracing Basic Example")
+    print("=" * 50)
+
+    # Create the flow
+    flow = BasicGreetingFlow()
+
+    # Prepare shared data
+    shared = {"name": "PocketFlow User"}
+
+    print(f"📥 Input: {shared}")
+
+    # Run the flow (this will be automatically traced)
+    try:
+        result = flow.run(shared)
+        print(f"📤 Output: {shared}")
+        print(f"🎯 Result: {result}")
+        print("✅ Flow completed successfully!")
+
+        # Print the final greeting
+        if "uppercase_greeting" in shared:
+            print(f"🎉 Final greeting: {shared['uppercase_greeting']}")
+
+    except Exception as e:
+        print(f"❌ Flow failed with error: {e}")
+        raise
+
+    print("\n📊 Check your Langfuse dashboard to see the trace!")
+    langfuse_host = os.getenv("LANGFUSE_HOST", "your-langfuse-host")
+    print(f"   Dashboard URL: {langfuse_host}")
+
+
+if __name__ == "__main__":
+    main()

cookbook/pocketflow-tracing/requirements.txt

@@ -0,0 +1,6 @@
+# Core dependencies for PocketFlow tracing
+langfuse>=2.0.0,<3.0.0  # v2 low level SDK compatible with Langfuse servers
+python-dotenv>=1.0.0
+
+# Optional dependencies for enhanced functionality
+pydantic>=2.0.0  # For data validation and serialization

cookbook/pocketflow-tracing/setup.py

@@ -0,0 +1,81 @@
+#!/usr/bin/env python3
+"""
+Setup script for PocketFlow Tracing cookbook.
+
+This script helps install dependencies and verify the setup.
+"""
+
+import subprocess
+import sys
+import os
+
+
+def install_dependencies():
+    """Install required dependencies."""
+    print("📦 Installing dependencies...")
+    try:
+        subprocess.check_call(
+            [sys.executable, "-m", "pip", "install", "-r", "requirements.txt"]
+        )
+        print("✅ Dependencies installed successfully!")
+        return True
+    except subprocess.CalledProcessError as e:
+        print(f"❌ Failed to install dependencies: {e}")
+        return False
+
+
+def verify_setup():
+    """Verify that the setup is working."""
+    print("🔍 Verifying setup...")
+    try:
+        # Try to import the tracing module
+        from tracing import trace_flow, TracingConfig
+
+        print("✅ Tracing module imported successfully!")
+
+        # Try to load configuration
+        config = TracingConfig.from_env()
+        if config.validate():
+            print("✅ Configuration is valid!")
+        else:
+            print("⚠️ Configuration validation failed - check your .env file")
+
+        return True
+    except ImportError as e:
+        print(f"❌ Failed to import tracing module: {e}")
+        return False
+    except Exception as e:
+        print(f"❌ Setup verification failed: {e}")
+        return False
+
+
+def main():
+    """Main setup function."""
+    print("🚀 PocketFlow Tracing Setup")
+    print("=" * 40)
+
+    # Check if we're in the right directory
+    if not os.path.exists("requirements.txt"):
+        print(
+            "❌ requirements.txt not found. Please run this script from the pocketflow-tracing directory."
+        )
+        sys.exit(1)
+
+    # Install dependencies
+    if not install_dependencies():
+        sys.exit(1)
+
+    # Verify setup
+    if not verify_setup():
+        sys.exit(1)
+
+    print("\n🎉 Setup completed successfully!")
+    print("\n📚 Next steps:")
+    print("1. Check the README.md for usage instructions")
+    print("2. Run the examples: python examples/basic_example.py")
+    print("3. Run the test suite: python test_tracing.py")
+    print("4. Check your Langfuse dashboard (URL configured in LANGFUSE_HOST)")
+
+
+if __name__ == "__main__":
+    main()

cookbook/pocketflow-tracing/test_tracing.py

@@ -0,0 +1,197 @@
+#!/usr/bin/env python3
+"""
+Test script for PocketFlow tracing functionality.
+
+This script tests the tracing implementation to ensure it works correctly
+with Langfuse integration.
+"""
+
+import sys
+import os
+import asyncio
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+
+# Add paths for imports
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
+sys.path.insert(0, os.path.dirname(__file__))
+
+from pocketflow import Node, Flow, AsyncNode, AsyncFlow
+from tracing import trace_flow, TracingConfig
+from utils import setup_tracing
+
+
+class TestNode(Node):
+    """Simple test node for tracing verification."""
+
+    def prep(self, shared):
+        """Test prep phase."""
+        return shared.get("input", "test_input")
+
+    def exec(self, prep_res):
+        """Test exec phase."""
+        return f"processed_{prep_res}"
+
+    def post(self, shared, prep_res, exec_res):
+        """Test post phase."""
+        shared["output"] = exec_res
+        return "default"
+
+
+class TestAsyncNode(AsyncNode):
+    """Simple async test node for tracing verification."""
+
+    async def prep_async(self, shared):
+        """Test async prep phase."""
+        await asyncio.sleep(0.1)  # Simulate async work
+        return shared.get("input", "async_test_input")
+
+    async def exec_async(self, prep_res):
+        """Test async exec phase."""
+        await asyncio.sleep(0.1)  # Simulate async work
+        return f"async_processed_{prep_res}"
+
+    async def post_async(self, shared, prep_res, exec_res):
+        """Test async post phase."""
+        shared["output"] = exec_res
+        return "default"
+
+
+@trace_flow(flow_name="TestSyncFlow")
+class TestSyncFlow(Flow):
+    """Test synchronous flow with tracing."""
+
+    def __init__(self):
+        super().__init__(start=TestNode())
+
+
+@trace_flow(flow_name="TestAsyncFlow")
+class TestAsyncFlow(AsyncFlow):
+    """Test asynchronous flow with tracing."""
+
+    def __init__(self):
+        super().__init__(start=TestAsyncNode())
+
+
+def test_sync_flow():
+    """Test synchronous flow tracing."""
+    print("🧪 Testing synchronous flow tracing...")
+
+    flow = TestSyncFlow()
+    shared = {"input": "sync_test_data"}
+
+    print(f"   Input: {shared}")
+    result = flow.run(shared)
+    print(f"   Output: {shared}")
+    print(f"   Result: {result}")
+
+    # Verify the flow worked
+    assert "output" in shared
+    assert shared["output"] == "processed_sync_test_data"
+    print("   ✅ Sync flow test passed")
+
+
+async def test_async_flow():
+    """Test asynchronous flow tracing."""
+    print("🧪 Testing asynchronous flow tracing...")
+
+    flow = TestAsyncFlow()
+    shared = {"input": "async_test_data"}
+
+    print(f"   Input: {shared}")
+    result = await flow.run_async(shared)
+    print(f"   Output: {shared}")
+    print(f"   Result: {result}")
+
+    # Verify the flow worked
+    assert "output" in shared
+    assert shared["output"] == "async_processed_async_test_data"
+    print("   ✅ Async flow test passed")
+
+
+def test_configuration():
+    """Test configuration loading and validation."""
+    print("🧪 Testing configuration...")
+
+    # Test loading from environment
+    config = TracingConfig.from_env()
+    print(f"   Loaded config: debug={config.debug}")
+
+    # Test validation
+    is_valid = config.validate()
+    print(f"   Config valid: {is_valid}")
+
+    if is_valid:
+        print("   ✅ Configuration test passed")
+    else:
+        print(
+            "   ⚠️ Configuration test failed (this may be expected if env vars not set)"
+        )
+
+
+def test_error_handling():
+    """Test error handling in traced flows."""
+    print("🧪 Testing error handling...")
+
+    class ErrorNode(Node):
+        def exec(self, prep_res):
+            raise ValueError("Test error for tracing")
+
+    @trace_flow(flow_name="TestErrorFlow")
+    class ErrorFlow(Flow):
+        def __init__(self):
+            super().__init__(start=ErrorNode())
+
+    flow = ErrorFlow()
+    shared = {"input": "error_test"}
+
+    try:
+        flow.run(shared)
+        print("   ❌ Expected error but flow succeeded")
+    except ValueError as e:
+        print(f"   ✅ Error correctly caught and traced: {e}")
+    except Exception as e:
+        print(f"   ⚠️ Unexpected error type: {e}")
+
+
+async def main():
+    """Run all tests."""
+    print("🚀 Starting PocketFlow Tracing Tests")
+    print("=" * 50)
+
+    # Test configuration first
+    test_configuration()
+    print()
+
+    # Test setup (optional - only if environment is configured)
+    try:
+        print("🔧 Testing setup...")
+        config = setup_tracing()
+        print("   ✅ Setup test passed")
+    except Exception as e:
+        print(f"   ⚠️ Setup test failed: {e}")
+        print("   (This is expected if Langfuse is not configured)")
+    print()
+
+    # Test sync flow
+    test_sync_flow()
+    print()
+
+    # Test async flow
+    await test_async_flow()
+    print()
+
+    # Test error handling
+    test_error_handling()
+    print()
+
+    print("🎉 All tests completed!")
+    print("\n📊 If Langfuse is configured, check your dashboard for traces:")
+    langfuse_host = os.getenv("LANGFUSE_HOST", "your-langfuse-host")
+    print(f"   Dashboard URL: {langfuse_host}")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

cookbook/pocketflow-tracing/tracing/__init__.py

@@ -0,0 +1,13 @@
+"""
+PocketFlow Tracing Module
+
+This module provides observability and tracing capabilities for PocketFlow workflows
+using Langfuse as the backend. It includes decorators and utilities to automatically
+trace node execution, inputs, and outputs.
+"""
+
+from .config import TracingConfig
+from .core import LangfuseTracer
+from .decorator import trace_flow
+
+__all__ = ["trace_flow", "TracingConfig", "LangfuseTracer"]

cookbook/pocketflow-tracing/tracing/config.py

@@ -0,0 +1,111 @@
+"""
+Configuration module for PocketFlow tracing with Langfuse.
+"""
+
+import os
+from dataclasses import dataclass
+from typing import Optional
+from dotenv import load_dotenv
+
+
+@dataclass
+class TracingConfig:
+    """Configuration class for PocketFlow tracing with Langfuse."""
+    
+    # Langfuse configuration
+    langfuse_secret_key: Optional[str] = None
+    langfuse_public_key: Optional[str] = None
+    langfuse_host: Optional[str] = None
+    
+    # PocketFlow tracing configuration
+    debug: bool = False
+    trace_inputs: bool = True
+    trace_outputs: bool = True
+    trace_prep: bool = True
+    trace_exec: bool = True
+    trace_post: bool = True
+    trace_errors: bool = True
+    
+    # Session configuration
+    session_id: Optional[str] = None
+    user_id: Optional[str] = None
+    
+    @classmethod
+    def from_env(cls, env_file: Optional[str] = None) -> "TracingConfig":
+        """
+        Create TracingConfig from environment variables.
+        
+        Args:
+            env_file: Optional path to .env file. If None, looks for .env in current directory.
+            
+        Returns:
+            TracingConfig instance with values from environment variables.
+        """
+        # Load environment variables from .env file if it exists
+        if env_file:
+            load_dotenv(env_file)
+        else:
+            # Try to find .env file in current directory or parent directories
+            load_dotenv()
+        
+        return cls(
+            langfuse_secret_key=os.getenv("LANGFUSE_SECRET_KEY"),
+            langfuse_public_key=os.getenv("LANGFUSE_PUBLIC_KEY"),
+            langfuse_host=os.getenv("LANGFUSE_HOST"),
+            debug=os.getenv("POCKETFLOW_TRACING_DEBUG", "false").lower() == "true",
+            trace_inputs=os.getenv("POCKETFLOW_TRACE_INPUTS", "true").lower() == "true",
+            trace_outputs=os.getenv("POCKETFLOW_TRACE_OUTPUTS", "true").lower() == "true",
+            trace_prep=os.getenv("POCKETFLOW_TRACE_PREP", "true").lower() == "true",
+            trace_exec=os.getenv("POCKETFLOW_TRACE_EXEC", "true").lower() == "true",
+            trace_post=os.getenv("POCKETFLOW_TRACE_POST", "true").lower() == "true",
+            trace_errors=os.getenv("POCKETFLOW_TRACE_ERRORS", "true").lower() == "true",
+            session_id=os.getenv("POCKETFLOW_SESSION_ID"),
+            user_id=os.getenv("POCKETFLOW_USER_ID"),
+        )
+    
+    def validate(self) -> bool:
+        """
+        Validate that required configuration is present.
+        
+        Returns:
+            True if configuration is valid, False otherwise.
+        """
+        if not self.langfuse_secret_key:
+            if self.debug:
+                print("Warning: LANGFUSE_SECRET_KEY not set")
+            return False
+            
+        if not self.langfuse_public_key:
+            if self.debug:
+                print("Warning: LANGFUSE_PUBLIC_KEY not set")
+            return False
+            
+        if not self.langfuse_host:
+            if self.debug:
+                print("Warning: LANGFUSE_HOST not set")
+            return False
+            
+        return True
+    
+    def to_langfuse_kwargs(self) -> dict:
+        """
+        Convert configuration to kwargs for Langfuse client initialization.
+        
+        Returns:
+            Dictionary of kwargs for Langfuse client.
+        """
+        kwargs = {}
+        
+        if self.langfuse_secret_key:
+            kwargs["secret_key"] = self.langfuse_secret_key
+            
+        if self.langfuse_public_key:
+            kwargs["public_key"] = self.langfuse_public_key
+            
+        if self.langfuse_host:
+            kwargs["host"] = self.langfuse_host
+            
+        if self.debug:
+            kwargs["debug"] = True
+            
+        return kwargs

cookbook/pocketflow-tracing/tracing/core.py

@@ -0,0 +1,287 @@
+"""
+Core tracing functionality for PocketFlow with Langfuse integration.
+"""
+
+import json
+import time
+import uuid
+from typing import Any, Dict, Optional, Union
+from datetime import datetime
+
+try:
+    from langfuse import Langfuse
+
+    LANGFUSE_AVAILABLE = True
+except ImportError:
+    LANGFUSE_AVAILABLE = False
+    print("Warning: langfuse package not installed. Install with: pip install langfuse")
+
+from .config import TracingConfig
+
+
+class LangfuseTracer:
+    """
+    Core tracer class that handles Langfuse integration for PocketFlow.
+    """
+
+    def __init__(self, config: TracingConfig):
+        """
+        Initialize the LangfuseTracer.
+
+        Args:
+            config: TracingConfig instance with Langfuse settings.
+        """
+        self.config = config
+        self.client = None
+        self.current_trace = None
+        self.spans = {}  # Store spans by node ID
+
+        if LANGFUSE_AVAILABLE and config.validate():
+            try:
+                # Initialize Langfuse client with proper parameters
+                kwargs = {}
+                if config.langfuse_secret_key:
+                    kwargs["secret_key"] = config.langfuse_secret_key
+                if config.langfuse_public_key:
+                    kwargs["public_key"] = config.langfuse_public_key
+                if config.langfuse_host:
+                    kwargs["host"] = config.langfuse_host
+                if config.debug:
+                    kwargs["debug"] = True
+
+                self.client = Langfuse(**kwargs)
+                if config.debug:
+                    print(
+                        f"✓ Langfuse client initialized with host: {config.langfuse_host}"
+                    )
+            except Exception as e:
+                if config.debug:
+                    print(f"✗ Failed to initialize Langfuse client: {e}")
+                self.client = None
+        else:
+            if config.debug:
+                print("✗ Langfuse not available or configuration invalid")
+
+    def start_trace(self, flow_name: str, input_data: Dict[str, Any]) -> Optional[str]:
+        """
+        Start a new trace for a flow execution.
+
+        Args:
+            flow_name: Name of the flow being traced.
+            input_data: Input data for the flow.
+
+        Returns:
+            Trace ID if successful, None otherwise.
+        """
+        if not self.client:
+            return None
+
+        try:
+            # Serialize input data safely
+            serialized_input = self._serialize_data(input_data)
+
+            # Use Langfuse v2 API to create a trace
+            self.current_trace = self.client.trace(
+                name=flow_name,
+                input=serialized_input,
+                metadata={
+                    "framework": "PocketFlow",
+                    "trace_type": "flow_execution",
+                    "timestamp": datetime.now().isoformat(),
+                },
+                session_id=self.config.session_id,
+                user_id=self.config.user_id,
+            )
+
+            # Get the trace ID
+            trace_id = self.current_trace.id
+
+            if self.config.debug:
+                print(f"✓ Started trace: {trace_id} for flow: {flow_name}")
+
+            return trace_id
+
+        except Exception as e:
+            if self.config.debug:
+                print(f"✗ Failed to start trace: {e}")
+            return None
+
+    def end_trace(self, output_data: Dict[str, Any], status: str = "success") -> None:
+        """
+        End the current trace.
+
+        Args:
+            output_data: Output data from the flow.
+            status: Status of the trace execution.
+        """
+        if not self.current_trace:
+            return
+
+        try:
+            # Serialize output data safely
+            serialized_output = self._serialize_data(output_data)
+
+            # Update the trace with output data using v2 API
+            self.current_trace.update(
+                output=serialized_output,
+                metadata={
+                    "status": status,
+                    "end_timestamp": datetime.now().isoformat(),
+                },
+            )
+
+            if self.config.debug:
+                print(f"✓ Ended trace with status: {status}")
+
+        except Exception as e:
+            if self.config.debug:
+                print(f"✗ Failed to end trace: {e}")
+        finally:
+            self.current_trace = None
+            self.spans.clear()
+
+    def start_node_span(
+        self, node_name: str, node_id: str, phase: str
+    ) -> Optional[str]:
+        """
+        Start a span for a node execution phase.
+
+        Args:
+            node_name: Name/type of the node.
+            node_id: Unique identifier for the node instance.
+            phase: Execution phase (prep, exec, post).
+
+        Returns:
+            Span ID if successful, None otherwise.
+        """
+        if not self.current_trace:
+            return None
+
+        try:
+            span_id = f"{node_id}_{phase}"
+
+            # Create a child span using v2 API
+            span = self.current_trace.span(
+                name=f"{node_name}.{phase}",
+                metadata={
+                    "node_type": node_name,
+                    "node_id": node_id,
+                    "phase": phase,
+                    "start_timestamp": datetime.now().isoformat(),
+                },
+            )
+
+            self.spans[span_id] = span
+
+            if self.config.debug:
+                print(f"✓ Started span: {span_id}")
+
+            return span_id
+
+        except Exception as e:
+            if self.config.debug:
+                print(f"✗ Failed to start span: {e}")
+            return None
+
+    def end_node_span(
+        self,
+        span_id: str,
+        input_data: Any = None,
+        output_data: Any = None,
+        error: Exception = None,
+    ) -> None:
+        """
+        End a node execution span.
+
+        Args:
+            span_id: ID of the span to end.
+            input_data: Input data for the phase.
+            output_data: Output data from the phase.
+            error: Exception if the phase failed.
+        """
+        if span_id not in self.spans:
+            return
+
+        try:
+            span = self.spans[span_id]
+
+            # Prepare update data
+            update_data = {}
+
+            if input_data is not None and self.config.trace_inputs:
+                update_data["input"] = self._serialize_data(input_data)
+            if output_data is not None and self.config.trace_outputs:
+                update_data["output"] = self._serialize_data(output_data)
+
+            if error and self.config.trace_errors:
+                update_data.update(
+                    {
+                        "level": "ERROR",
+                        "status_message": str(error),
+                        "metadata": {
+                            "error_type": type(error).__name__,
+                            "error_message": str(error),
+                            "end_timestamp": datetime.now().isoformat(),
+                        },
+                    }
+                )
+            else:
+                update_data.update(
+                    {
+                        "level": "DEFAULT",
+                        "metadata": {"end_timestamp": datetime.now().isoformat()},
+                    }
+                )
+
+            # Update the span with all data at once
+            span.update(**update_data)
+
+            # End the span
+            span.end()
+
+            if self.config.debug:
+                status = "ERROR" if error else "SUCCESS"
+                print(f"✓ Ended span: {span_id} with status: {status}")
+
+        except Exception as e:
+            if self.config.debug:
+                print(f"✗ Failed to end span: {e}")
+        finally:
+            if span_id in self.spans:
+                del self.spans[span_id]
+
+    def _serialize_data(self, data: Any) -> Any:
+        """
+        Safely serialize data for Langfuse.
+
+        Args:
+            data: Data to serialize.
+
+        Returns:
+            Serialized data that can be sent to Langfuse.
+        """
+        try:
+            # Handle common PocketFlow data types
+            if hasattr(data, "__dict__"):
+                # Convert objects to dict representation
+                return {"_type": type(data).__name__, "_data": str(data)}
+            elif isinstance(data, (dict, list, str, int, float, bool, type(None))):
+                # JSON-serializable types
+                return data
+            else:
+                # Fallback to string representation
+                return {"_type": type(data).__name__, "_data": str(data)}
+        except Exception:
+            # Ultimate fallback
+            return {"_type": "unknown", "_data": "<serialization_failed>"}
+
+    def flush(self) -> None:
+        """Flush any pending traces to Langfuse."""
+        if self.client:
+            try:
+                self.client.flush()
+                if self.config.debug:
+                    print("✓ Flushed traces to Langfuse")
+            except Exception as e:
+                if self.config.debug:
+                    print(f"✗ Failed to flush traces: {e}")

cookbook/pocketflow-tracing/tracing/decorator.py

@@ -0,0 +1,293 @@
+"""
+Decorator for tracing PocketFlow workflows with Langfuse.
+"""
+
+import functools
+import inspect
+import uuid
+from typing import Any, Callable, Dict, Optional, Union
+
+from .config import TracingConfig
+from .core import LangfuseTracer
+
+
+def trace_flow(
+    config: Optional[TracingConfig] = None,
+    flow_name: Optional[str] = None,
+    session_id: Optional[str] = None,
+    user_id: Optional[str] = None
+):
+    """
+    Decorator to add Langfuse tracing to PocketFlow flows.
+    
+    This decorator automatically traces:
+    - Flow execution start/end
+    - Each node's prep, exec, and post phases
+    - Input and output data for each phase
+    - Errors and exceptions
+    
+    Args:
+        config: TracingConfig instance. If None, loads from environment.
+        flow_name: Custom name for the flow. If None, uses the flow class name.
+        session_id: Session ID for grouping related traces.
+        user_id: User ID for the trace.
+        
+    Returns:
+        Decorated flow class or function.
+        
+    Example:
+        ```python
+        from tracing import trace_flow
+        
+        @trace_flow()
+        class MyFlow(Flow):
+            def __init__(self):
+                super().__init__(start=MyNode())
+        
+        # Or with custom configuration
+        config = TracingConfig.from_env()
+        
+        @trace_flow(config=config, flow_name="CustomFlow")
+        class MyFlow(Flow):
+            pass
+        ```
+    """
+    def decorator(flow_class_or_func):
+        # Handle both class and function decoration
+        if inspect.isclass(flow_class_or_func):
+            return _trace_flow_class(flow_class_or_func, config, flow_name, session_id, user_id)
+        else:
+            return _trace_flow_function(flow_class_or_func, config, flow_name, session_id, user_id)
+    
+    return decorator
+
+
+def _trace_flow_class(flow_class, config, flow_name, session_id, user_id):
+    """Trace a Flow class by wrapping its methods."""
+    
+    # Get or create config
+    if config is None:
+        config = TracingConfig.from_env()
+    
+    # Override session/user if provided
+    if session_id:
+        config.session_id = session_id
+    if user_id:
+        config.user_id = user_id
+    
+    # Get flow name
+    if flow_name is None:
+        flow_name = flow_class.__name__
+    
+    # Store original methods
+    original_init = flow_class.__init__
+    original_run = getattr(flow_class, 'run', None)
+    original_run_async = getattr(flow_class, 'run_async', None)
+    
+    def traced_init(self, *args, **kwargs):
+        """Initialize the flow with tracing capabilities."""
+        # Call original init
+        original_init(self, *args, **kwargs)
+        
+        # Add tracing attributes
+        self._tracer = LangfuseTracer(config)
+        self._flow_name = flow_name
+        self._trace_id = None
+        
+        # Patch all nodes in the flow
+        self._patch_nodes()
+    
+    def traced_run(self, shared):
+        """Traced version of the run method."""
+        if not hasattr(self, '_tracer'):
+            # Fallback if not properly initialized
+            return original_run(self, shared) if original_run else None
+            
+        # Start trace
+        self._trace_id = self._tracer.start_trace(self._flow_name, shared)
+        
+        try:
+            # Run the original flow
+            result = original_run(self, shared) if original_run else None
+            
+            # End trace successfully
+            self._tracer.end_trace(shared, "success")
+            
+            return result
+            
+        except Exception as e:
+            # End trace with error
+            self._tracer.end_trace(shared, "error")
+            raise
+        finally:
+            # Ensure cleanup
+            self._tracer.flush()
+    
+    async def traced_run_async(self, shared):
+        """Traced version of the async run method."""
+        if not hasattr(self, '_tracer'):
+            # Fallback if not properly initialized
+            return await original_run_async(self, shared) if original_run_async else None
+            
+        # Start trace
+        self._trace_id = self._tracer.start_trace(self._flow_name, shared)
+        
+        try:
+            # Run the original flow
+            result = await original_run_async(self, shared) if original_run_async else None
+            
+            # End trace successfully
+            self._tracer.end_trace(shared, "success")
+            
+            return result
+            
+        except Exception as e:
+            # End trace with error
+            self._tracer.end_trace(shared, "error")
+            raise
+        finally:
+            # Ensure cleanup
+            self._tracer.flush()
+    
+    def patch_nodes(self):
+        """Patch all nodes in the flow to add tracing."""
+        if not hasattr(self, 'start_node') or not self.start_node:
+            return
+            
+        visited = set()
+        nodes_to_patch = [self.start_node]
+        
+        while nodes_to_patch:
+            node = nodes_to_patch.pop(0)
+            if id(node) in visited:
+                continue
+                
+            visited.add(id(node))
+            
+            # Patch this node
+            self._patch_node(node)
+            
+            # Add successors to patch list
+            if hasattr(node, 'successors'):
+                for successor in node.successors.values():
+                    if successor and id(successor) not in visited:
+                        nodes_to_patch.append(successor)
+    
+    def patch_node(self, node):
+        """Patch a single node to add tracing."""
+        if hasattr(node, '_pocketflow_traced'):
+            return  # Already patched
+            
+        node_id = str(uuid.uuid4())
+        node_name = type(node).__name__
+        
+        # Store original methods
+        original_prep = getattr(node, 'prep', None)
+        original_exec = getattr(node, 'exec', None)
+        original_post = getattr(node, 'post', None)
+        original_prep_async = getattr(node, 'prep_async', None)
+        original_exec_async = getattr(node, 'exec_async', None)
+        original_post_async = getattr(node, 'post_async', None)
+        
+        # Create traced versions
+        if original_prep:
+            node.prep = self._create_traced_method(original_prep, node_id, node_name, 'prep')
+        if original_exec:
+            node.exec = self._create_traced_method(original_exec, node_id, node_name, 'exec')
+        if original_post:
+            node.post = self._create_traced_method(original_post, node_id, node_name, 'post')
+        if original_prep_async:
+            node.prep_async = self._create_traced_async_method(original_prep_async, node_id, node_name, 'prep')
+        if original_exec_async:
+            node.exec_async = self._create_traced_async_method(original_exec_async, node_id, node_name, 'exec')
+        if original_post_async:
+            node.post_async = self._create_traced_async_method(original_post_async, node_id, node_name, 'post')
+        
+        # Mark as traced
+        node._pocketflow_traced = True
+    
+    def create_traced_method(self, original_method, node_id, node_name, phase):
+        """Create a traced version of a synchronous method."""
+        @functools.wraps(original_method)
+        def traced_method(*args, **kwargs):
+            span_id = self._tracer.start_node_span(node_name, node_id, phase)
+            
+            try:
+                result = original_method(*args, **kwargs)
+                self._tracer.end_node_span(span_id, input_data=args, output_data=result)
+                return result
+            except Exception as e:
+                self._tracer.end_node_span(span_id, input_data=args, error=e)
+                raise
+                
+        return traced_method
+    
+    def create_traced_async_method(self, original_method, node_id, node_name, phase):
+        """Create a traced version of an asynchronous method."""
+        @functools.wraps(original_method)
+        async def traced_async_method(*args, **kwargs):
+            span_id = self._tracer.start_node_span(node_name, node_id, phase)
+            
+            try:
+                result = await original_method(*args, **kwargs)
+                self._tracer.end_node_span(span_id, input_data=args, output_data=result)
+                return result
+            except Exception as e:
+                self._tracer.end_node_span(span_id, input_data=args, error=e)
+                raise
+                
+        return traced_async_method
+    
+    # Replace methods on the class
+    flow_class.__init__ = traced_init
+    flow_class._patch_nodes = patch_nodes
+    flow_class._patch_node = patch_node
+    flow_class._create_traced_method = create_traced_method
+    flow_class._create_traced_async_method = create_traced_async_method
+    
+    if original_run:
+        flow_class.run = traced_run
+    if original_run_async:
+        flow_class.run_async = traced_run_async
+    
+    return flow_class
+
+
+def _trace_flow_function(flow_func, config, flow_name, session_id, user_id):
+    """Trace a flow function (for functional-style flows)."""
+    
+    # Get or create config
+    if config is None:
+        config = TracingConfig.from_env()
+    
+    # Override session/user if provided
+    if session_id:
+        config.session_id = session_id
+    if user_id:
+        config.user_id = user_id
+    
+    # Get flow name
+    if flow_name is None:
+        flow_name = flow_func.__name__
+    
+    tracer = LangfuseTracer(config)
+    
+    @functools.wraps(flow_func)
+    def traced_flow_func(*args, **kwargs):
+        # Assume first argument is shared data
+        shared = args[0] if args else {}
+        
+        # Start trace
+        trace_id = tracer.start_trace(flow_name, shared)
+        
+        try:
+            result = flow_func(*args, **kwargs)
+            tracer.end_trace(shared, "success")
+            return result
+        except Exception as e:
+            tracer.end_trace(shared, "error")
+            raise
+        finally:
+            tracer.flush()
+    
+    return traced_flow_func

cookbook/pocketflow-tracing/utils/__init__.py

@@ -0,0 +1,7 @@
+"""
+Utility functions for PocketFlow tracing.
+"""
+
+from .setup import setup_tracing, test_langfuse_connection
+
+__all__ = ['setup_tracing', 'test_langfuse_connection']

cookbook/pocketflow-tracing/utils/setup.py

@@ -0,0 +1,163 @@
+"""
+Setup and testing utilities for PocketFlow tracing.
+"""
+
+import os
+import sys
+from typing import Optional
+
+# Add parent directory to path for imports
+sys.path.insert(0, os.path.dirname(os.path.dirname(__file__)))
+
+try:
+    from langfuse import Langfuse
+    LANGFUSE_AVAILABLE = True
+except ImportError:
+    LANGFUSE_AVAILABLE = False
+
+from tracing import TracingConfig, LangfuseTracer
+
+
+def setup_tracing(env_file: Optional[str] = None) -> TracingConfig:
+    """
+    Set up tracing configuration and validate the setup.
+    
+    Args:
+        env_file: Optional path to .env file. If None, uses default location.
+        
+    Returns:
+        TracingConfig instance.
+        
+    Raises:
+        RuntimeError: If setup fails.
+    """
+    print("🔧 Setting up PocketFlow tracing...")
+    
+    # Check if langfuse is installed
+    if not LANGFUSE_AVAILABLE:
+        raise RuntimeError(
+            "Langfuse package not installed. Install with: pip install langfuse"
+        )
+    
+    # Load configuration
+    if env_file:
+        config = TracingConfig.from_env(env_file)
+        print(f"✓ Loaded configuration from: {env_file}")
+    else:
+        config = TracingConfig.from_env()
+        print("✓ Loaded configuration from environment")
+    
+    # Validate configuration
+    if not config.validate():
+        raise RuntimeError(
+            "Invalid tracing configuration. Please check your environment variables:\n"
+            "- LANGFUSE_SECRET_KEY\n"
+            "- LANGFUSE_PUBLIC_KEY\n" 
+            "- LANGFUSE_HOST"
+        )
+    
+    print("✓ Configuration validated")
+    
+    # Test connection
+    if test_langfuse_connection(config):
+        print("✓ Langfuse connection successful")
+    else:
+        raise RuntimeError("Failed to connect to Langfuse. Check your configuration and network.")
+    
+    print("🎉 PocketFlow tracing setup complete!")
+    return config
+
+
+def test_langfuse_connection(config: TracingConfig) -> bool:
+    """
+    Test connection to Langfuse.
+    
+    Args:
+        config: TracingConfig instance.
+        
+    Returns:
+        True if connection successful, False otherwise.
+    """
+    try:
+        # Create a test tracer
+        tracer = LangfuseTracer(config)
+        
+        if not tracer.client:
+            return False
+        
+        # Try to start and end a test trace
+        trace_id = tracer.start_trace("test_connection", {"test": True})
+        if trace_id:
+            tracer.end_trace({"test": "completed"}, "success")
+            tracer.flush()
+            return True
+        
+        return False
+        
+    except Exception as e:
+        if config.debug:
+            print(f"Connection test failed: {e}")
+        return False
+
+
+def print_configuration_help():
+    """Print help information for configuring tracing."""
+    print("""
+🔧 PocketFlow Tracing Configuration Help
+
+To use PocketFlow tracing, you need to configure Langfuse credentials.
+
+1. Create or update your .env file with:
+
+LANGFUSE_SECRET_KEY=your-secret-key
+LANGFUSE_PUBLIC_KEY=your-public-key
+LANGFUSE_HOST=your-langfuse-host
+POCKETFLOW_TRACING_DEBUG=true
+
+2. Optional configuration:
+
+POCKETFLOW_TRACE_INPUTS=true
+POCKETFLOW_TRACE_OUTPUTS=true
+POCKETFLOW_TRACE_PREP=true
+POCKETFLOW_TRACE_EXEC=true
+POCKETFLOW_TRACE_POST=true
+POCKETFLOW_TRACE_ERRORS=true
+POCKETFLOW_SESSION_ID=your-session-id
+POCKETFLOW_USER_ID=your-user-id
+
+3. Install required packages:
+
+pip install -r requirements.txt
+
+4. Test your setup:
+
+python -c "from utils import setup_tracing; setup_tracing()"
+""")
+
+
+if __name__ == "__main__":
+    """Command-line interface for setup and testing."""
+    import argparse
+    
+    parser = argparse.ArgumentParser(description="PocketFlow Tracing Setup")
+    parser.add_argument("--test", action="store_true", help="Test Langfuse connection")
+    parser.add_argument("--help-config", action="store_true", help="Show configuration help")
+    parser.add_argument("--env-file", type=str, help="Path to .env file")
+    
+    args = parser.parse_args()
+    
+    if args.help_config:
+        print_configuration_help()
+        sys.exit(0)
+    
+    if args.test:
+        try:
+            config = setup_tracing(args.env_file)
+            print("\n✅ All tests passed! Your tracing setup is ready.")
+        except Exception as e:
+            print(f"\n❌ Setup failed: {e}")
+            print("\nFor help with configuration, run:")
+            print("python utils/setup.py --help-config")
+            sys.exit(1)
+    else:
+        print_configuration_help()

docs/utility_function/viz.md

@@ -140,3 +140,5 @@ data_science_flow.run({})
 ```
 
 The output would be: `Call stack: ['EvaluateModelNode', 'ModelFlow', 'DataScienceFlow']`
+
+For a more complete implementation, check out [the cookbook](https://github.com/The-Pocket/PocketFlow/tree/main/cookbook/pocketflow-tracing).