from agent_framework.azure import AzureOpenAIChatClient client = AzureOpenAIChatClient( api_key='', endpoint='', deployment_name='', api_version='', )

import asyncio from agent_framework import Agent from agent_framework.openai import OpenAIChatClient async def main(): agent = Agent( client=OpenAIChatClient(), instructions="""  1) A robot may not injure a human being...  2) A robot must obey orders given it by human beings...  3) A robot must protect its own existence...   Give me the TLDR in exactly 5 words.  """ ) result = await agent.run("Summarize the Three Laws of Robotics") print(result) asyncio.run(main()) # Output: Protect humans, obey, self-preserve, prioritized.

import asyncio from agent_framework import Message from agent_framework.openai import OpenAIChatClient async def main(): client = OpenAIChatClient() messages = [ Message("system", ["You are a helpful assistant."]), Message("user", ["Write a haiku about Agent Framework."]) ] response = await client.get_response(messages) print(response.messages[0].text) """  Output:   Agents work in sync,  Framework threads through each task—  Code sparks collaboration.  """ asyncio.run(main())

import asyncio from typing import Annotated from random import randint from pydantic import Field from agent_framework import Agent from agent_framework.openai import OpenAIChatClient def get_weather( location: Annotated[str, Field(description="The location to get the weather for.")], ) -> str: """Get the weather for a given location.""" conditions = ["sunny", "cloudy", "rainy", "stormy"] return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C." def get_menu_specials() -> str: """Get today's menu specials.""" return """  Special Soup: Clam Chowder  Special Salad: Cobb Salad  Special Drink: Chai Tea  """ async def main(): agent = Agent( client=OpenAIChatClient(), instructions="You are a helpful assistant that can provide weather and restaurant information.", tools=[get_weather, get_menu_specials] ) response = await agent.run("What's the weather in Amsterdam and what are today's specials?") print(response) """  Output:  The weather in Amsterdam is sunny with a high of 22°C. Today's specials include  Clam Chowder soup, Cobb Salad, and Chai Tea as the special drink.  """ if __name__ == "__main__": asyncio.run(main())

import asyncio from agent_framework import Agent from agent_framework.openai import OpenAIChatClient async def main(): # Create specialized agents writer = Agent( client=OpenAIChatClient(), name="Writer", instructions="You are a creative content writer. Generate and refine slogans based on feedback." ) reviewer = Agent( client=OpenAIChatClient(), name="Reviewer", instructions="You are a critical reviewer. Provide detailed feedback on proposed slogans." ) # Sequential workflow: Writer creates, Reviewer provides feedback task = "Create a slogan for a new electric SUV that is affordable and fun to drive." # Step 1: Writer creates initial slogan initial_result = await writer.run(task) print(f"Writer: {initial_result}") # Step 2: Reviewer provides feedback feedback_request = f"Please review this slogan: {initial_result}" feedback = await reviewer.run(feedback_request) print(f"Reviewer: {feedback}") # Step 3: Writer refines based on feedback refinement_request = f"Please refine this slogan based on the feedback: {initial_result}\nFeedback: {feedback}" final_result = await writer.run(refinement_request) print(f"Final Slogan: {final_result}") # Example Output: # Writer: "Charge Forward: Affordable Adventure Awaits!" # Reviewer: "Good energy, but 'Charge Forward' is overused in EV marketing..." # Final Slogan: "Power Up Your Adventure: Premium Feel, Smart Price!" if __name__ == "__main__": asyncio.run(main())