diff --git a/.env.example b/.env.example
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+++ b/.env.example
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+# AgentOps Configuration
+# Get your API key from: https://app.agentops.ai
+AGENTOPS_API_KEY=your_agentops_api_key_here
+
+# Optional: OpenAI API Key (if using OpenAI models with CrewAI)
+# OPENAI_API_KEY=your_openai_api_key_here
+
+# Optional: Custom AgentOps endpoint (defaults to https://api.agentops.ai)
+# AGENTOPS_ENDPOINT=https://api.agentops.ai
+
+# Optional: Enable debug logging
+# AGENTOPS_DEBUG=true
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diff --git a/examples/crewai/AGENTOPS_AUTH_FIX.md b/examples/crewai/AGENTOPS_AUTH_FIX.md
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+# AgentOps Authentication Fix Guide
+
+## Problem Summary
+
+The user encountered two main issues:
+1. **401 Unauthorized errors** when AgentOps tries to export telemetry data
+2. **Deprecation warning** about `end_session()` being replaced with `end_trace()`
+
+## Root Causes
+
+### 1. Authentication Error (401 Unauthorized)
+The error messages show:
+```
+Failed to export span batch code: 401, reason: Unauthorized
+Failed to export metrics batch code: 401, reason: Unauthorized
+```
+
+This occurs when:
+- No API key is provided
+- An invalid or expired API key is used
+- The API key is not properly loaded from environment variables
+
+### 2. Deprecation Warning
+```
+AgentOps: end_session() is deprecated and will be removed in v4 in the future. 
+Use agentops.end_trace() instead.
+```
+
+The `end_session()` method is being phased out in favor of the more flexible `end_trace()` method.
+
+## Solution
+
+### Step 1: Set Up Environment Variables
+
+1. Create a `.env` file in your project root:
+```bash
+touch .env
+```
+
+2. Add your AgentOps API key:
+```env
+AGENTOPS_API_KEY=your_actual_api_key_here
+```
+
+3. Get your API key from [https://app.agentops.ai](https://app.agentops.ai)
+   - Sign up or log in
+   - Navigate to Settings or API Keys section
+   - Copy your API key
+
+### Step 2: Update Your Code
+
+Replace the deprecated `end_session()` with `end_trace()`:
+
+**Before (Deprecated):**
+```python
+agentops.end_session()  # or
+agentops.end_session("Success")
+```
+
+**After (Current):**
+```python
+agentops.end_trace(end_state="Success")  # or
+agentops.end_trace()  # defaults to "Success"
+```
+
+### Step 3: Implement Proper Error Handling
+
+Use the fixed script provided in `test_agentops_auth.py` which includes:
+- API key validation
+- Proper error handling
+- Clear error messages
+- Automatic session management
+
+## Complete Working Example
+
+```python
+import os
+from dotenv import load_dotenv
+import agentops
+from crewai import Agent, Task, Crew
+
+# Load environment variables
+load_dotenv()
+
+# Validate API key
+api_key = os.getenv("AGENTOPS_API_KEY")
+if not api_key:
+    print("ERROR: Please set AGENTOPS_API_KEY in .env file")
+    exit(1)
+
+# Initialize AgentOps
+agentops.init(
+    api_key=api_key,
+    skip_auto_end_session=False  # Let AgentOps handle cleanup
+)
+
+# Your CrewAI code here
+agent = Agent(
+    role="Math Assistant",
+    goal="Solve simple math problems",
+    backstory="You are a helpful assistant for quick calculations.",
+    allow_delegation=False,
+    verbose=True
+)
+
+task = Task(
+    description="Solve: What is 25 * 4?",
+    expected_output="100",
+    agent=agent
+)
+
+crew = Crew(agents=[agent], tasks=[task], verbose=True)
+result = crew.kickoff()
+
+print(f"Result: {result}")
+
+# Optional: Manually end trace (not required with skip_auto_end_session=False)
+agentops.end_trace(end_state="Success")
+```
+
+## Testing the Fix
+
+1. Run the test script:
+```bash
+python examples/crewai/test_agentops_auth.py
+```
+
+2. Expected output:
+```
+✅ AgentOps API key found: your_key_... (truncated for security)
+✅ AgentOps initialized successfully
+🚀 Starting CrewAI task...
+✅ Final Result: 25 multiplied by 4 equals 100.
+✅ AgentOps trace ended successfully
+```
+
+3. Check your AgentOps dashboard at https://app.agentops.ai for the session data
+
+## Additional Configuration Options
+
+You can customize AgentOps behavior with these init parameters:
+
+```python
+agentops.init(
+    api_key=api_key,
+    endpoint="https://api.agentops.ai",  # Custom endpoint
+    max_wait_time=30000,                 # Max wait time for API responses (ms)
+    max_queue_size=100,                  # Max events to queue
+    skip_auto_end_session=False,         # Auto-end session on script exit
+)
+```
+
+## Troubleshooting
+
+### Still Getting 401 Errors?
+1. Verify your API key is correct
+2. Check if the key has expired
+3. Ensure the `.env` file is in the correct location
+4. Try regenerating your API key from the AgentOps dashboard
+
+### Debug Mode
+Enable debug logging to see more details:
+```python
+import logging
+logging.basicConfig(level=logging.DEBUG)
+```
+
+Or set in environment:
+```bash
+export AGENTOPS_DEBUG=true
+```
+
+## References
+- [AgentOps Documentation](https://docs.agentops.ai)
+- [AgentOps API Keys](https://app.agentops.ai)
+- [CrewAI Integration Guide](https://docs.agentops.ai/integrations/crewai)
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diff --git a/examples/crewai/test_agentops_auth.py b/examples/crewai/test_agentops_auth.py
new file mode 100644
index 000000000..80261646b
--- /dev/null
+++ b/examples/crewai/test_agentops_auth.py
@@ -0,0 +1,100 @@
+#!/usr/bin/env python3
+"""
+Test script for AgentOps with CrewAI
+Fixes authentication issues and uses the updated API
+"""
+
+import os
+import sys
+from dotenv import load_dotenv
+import agentops
+from crewai import Agent, Task, Crew
+
+def main():
+    # 1. Load environment variables
+    load_dotenv()
+    
+    # 2. Check for API key
+    api_key = os.getenv("AGENTOPS_API_KEY")
+    if not api_key:
+        print("❌ ERROR: AGENTOPS_API_KEY not found in environment variables!")
+        print("\nTo fix this issue:")
+        print("1. Create a .env file in the project root")
+        print("2. Add your AgentOps API key: AGENTOPS_API_KEY=your_api_key_here")
+        print("3. Get your API key from: https://app.agentops.ai")
+        sys.exit(1)
+    
+    # Validate API key format (should be a UUID-like string)
+    if len(api_key) < 20 or api_key == "your_api_key_here":
+        print("❌ ERROR: Invalid AGENTOPS_API_KEY format!")
+        print(f"Current key: {api_key[:10]}... (truncated for security)")
+        print("\nPlease provide a valid API key from https://app.agentops.ai")
+        sys.exit(1)
+    
+    print(f"✅ AgentOps API key found: {api_key[:10]}... (truncated for security)")
+    
+    # 3. Initialize AgentOps with explicit configuration
+    try:
+        agentops.init(
+            api_key=api_key,
+            # Optional: Add other configuration options
+            # endpoint="https://api.agentops.ai",  # Use default endpoint
+            # max_wait_time=30000,  # Max time to wait for API responses
+            # max_queue_size=100,   # Max number of events to queue
+            skip_auto_end_session=False  # Let AgentOps handle session ending automatically
+        )
+        print("✅ AgentOps initialized successfully")
+    except Exception as e:
+        print(f"❌ ERROR: Failed to initialize AgentOps: {e}")
+        sys.exit(1)
+    
+    # 4. Create a minimal CrewAI setup
+    try:
+        agent = Agent(
+            role="Math Assistant",
+            goal="Solve simple math problems",
+            backstory="You are a helpful assistant for quick calculations.",
+            allow_delegation=False,
+            verbose=True
+        )
+        
+        task = Task(
+            description="Solve: What is 25 * 4?",
+            expected_output="100",
+            agent=agent
+        )
+        
+        crew = Crew(
+            agents=[agent], 
+            tasks=[task], 
+            verbose=True
+        )
+        
+        print("\n🚀 Starting CrewAI task...")
+        
+        # 5. Run the crew
+        result = crew.kickoff()
+        
+        print(f"\n✅ Final Result: {result}")
+        
+        # 6. Use the new end_trace() method instead of deprecated end_session()
+        # Note: With skip_auto_end_session=False, AgentOps will handle this automatically
+        # But if you need to manually end the trace:
+        try:
+            agentops.end_trace(end_state="Success")
+            print("✅ AgentOps trace ended successfully")
+        except Exception as e:
+            print(f"⚠️  Warning: Could not end trace: {e}")
+            # This is not critical as AgentOps will auto-end on script exit
+        
+    except Exception as e:
+        print(f"\n❌ ERROR during execution: {e}")
+        # Try to end the trace with error state
+        try:
+            agentops.end_trace(end_state="Error")
+        except:
+            pass  # Ignore errors during cleanup
+        sys.exit(1)
+
+if __name__ == "__main__":
+    main()
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