agent-framework-declarative

import os import asyncio from agent_framework import AgentFactory # Create a dummy YAML file for the declarative agent agent_yaml_content = """ name: GreetingAgent description: An agent that greets the user. instructions: "You are a friendly agent that responds to greetings. If asked 'What can you do for me?', state your purpose as a greeting agent." model: id: =Env.AZURE_OPENAI_MODEL # Use environment variable for model ID connection: kind: remote endpoint: =Env.FOUNDRY_PROJECT_ENDPOINT # Use environment variable for endpoint """ with open("greeting-agent.yaml", "w") as f: f.write(agent_yaml_content) async def run_declarative_agent(): # Ensure environment variables are set for model connection os.environ['AZURE_OPENAI_MODEL'] = os.environ.get('AZURE_OPENAI_MODEL', 'gpt-4') os.environ['FOUNDRY_PROJECT_ENDPOINT'] = os.environ.get('FOUNDRY_PROJECT_ENDPOINT', 'http://localhost:5000/v1') # Placeholder print("Loading agent from YAML...") async with AgentFactory().create_agent_from_yaml("greeting-agent.yaml") as agent: print(f"Agent '{agent.name}' loaded. Description: {agent.description}") response = await agent.run("Hello, Agent!") print("Agent response (Hello):", response.text) response_purpose = await agent.run("What can you do for me?") print("Agent response (Purpose):", response_purpose.text) if __name__ == "__main__": asyncio.run(run_declarative_agent())