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103 lines
3.9 KiB
Python
103 lines
3.9 KiB
Python
#!/usr/bin/env python3
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"""
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Example demonstrating encrypted agent-to-agent communication in CrewAI.
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This example shows how to:
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1. Enable encrypted communication for agents
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2. Use existing agent tools with encryption
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3. Verify that communication is encrypted between agents
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"""
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from crewai import Agent, Crew, Task
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from crewai.security import SecurityConfig
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from crewai.tools.agent_tools.ask_question_tool import AskQuestionTool
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def main():
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"""Demonstrate encrypted agent communication."""
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print("🔒 CrewAI Encrypted Agent Communication Example")
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print("=" * 50)
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# Create agents with encrypted communication enabled
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print("Creating agents with encrypted communication...")
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# Researcher agent with encryption enabled
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researcher = Agent(
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role="Senior Research Analyst",
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goal="Conduct thorough research and analysis",
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backstory="You are an expert researcher with years of experience in data analysis.",
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security_config=SecurityConfig(encrypted_communication=True),
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verbose=True
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)
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# Writer agent with encryption enabled
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writer = Agent(
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role="Content Writer",
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goal="Create compelling content based on research",
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backstory="You are a skilled writer who transforms complex research into engaging content.",
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security_config=SecurityConfig(encrypted_communication=True),
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verbose=True
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)
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print(f"✓ Researcher agent created with encryption: {researcher.security_config.encrypted_communication}")
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print(f"✓ Writer agent created with encryption: {writer.security_config.encrypted_communication}")
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print(f"✓ Researcher fingerprint: {researcher.security_config.fingerprint.uuid_str[:8]}...")
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print(f"✓ Writer fingerprint: {writer.security_config.fingerprint.uuid_str[:8]}...")
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# Create agent tools - these will automatically use encryption when available
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agent_tools = [
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AskQuestionTool(
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agents=[researcher, writer],
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description="Tool for asking questions to coworkers with encrypted communication support"
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)
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]
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print(f"✓ Agent tools created with encryption capability")
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# Create tasks that will involve encrypted communication
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research_task = Task(
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description="Research the latest trends in artificial intelligence and machine learning",
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expected_output="A comprehensive research report on AI/ML trends",
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agent=researcher
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)
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writing_task = Task(
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description="Ask the researcher about their findings and write a blog post",
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expected_output="An engaging blog post about AI trends",
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agent=writer,
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tools=agent_tools
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)
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# Create crew with both agents
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crew = Crew(
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agents=[researcher, writer],
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tasks=[research_task, writing_task],
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verbose=True
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)
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print("\n🚀 Starting crew execution with encrypted communication...")
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print("Note: Agent communications will be automatically encrypted!")
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# Execute the crew - agent tools will use encryption automatically
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try:
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result = crew.kickoff()
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print("\n✅ Crew execution completed successfully!")
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print("=" * 50)
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print("RESULT:")
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print(result)
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except Exception as e:
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print(f"\n❌ Execution failed: {e}")
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print("This is expected in a demo environment without proper LLM configuration")
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print("\n🔍 Key Features Demonstrated:")
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print("- Agents created with SecurityConfig(encrypted_communication=True)")
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print("- Unique fingerprints generated for each agent")
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print("- Agent tools automatically detect encryption capability")
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print("- Communication payloads encrypted using Fernet symmetric encryption")
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print("- Keys derived from agent fingerprints for secure communication")
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print("- Backward compatibility maintained - non-encrypted agents still work")
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if __name__ == "__main__":
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main() |