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https://github.com/microsoft/agent-framework.git
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More examples
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# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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import os
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from random import randint
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from typing import Annotated
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from agent_framework import ChatClientAgent
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from agent_framework.foundry import FoundryChatClient
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from azure.ai.projects.aio import AIProjectClient
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from azure.identity.aio import AzureCliCredential
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from pydantic import Field
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def get_weather(
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location: Annotated[str, Field(description="The location to get the weather for.")],
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) -> str:
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"""Get the weather for a given location."""
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conditions = ["sunny", "cloudy", "rainy", "stormy"]
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return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
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async def main() -> None:
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print("=== Foundry Chat Client with Existing AIProjectClient ===")
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# Create the client
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client = AIProjectClient(endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"], credential=AzureCliCredential())
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# Since no Agent ID is provided, the agent will be automatically created
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# and deleted after getting a response
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async with ChatClientAgent(
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chat_client=FoundryChatClient(
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client=client,
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model_deployment_name=os.environ["FOUNDRY_MODEL_DEPLOYMENT_NAME"],
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agent_name="WeatherAgent",
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),
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instructions="You are a helpful weather agent.",
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tools=get_weather,
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) as agent:
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result = await agent.run("What's the weather like in London?")
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print(f"Result: {result}\n")
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if __name__ == "__main__":
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asyncio.run(main())
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+47
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# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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import os
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from random import randint
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from typing import Annotated
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from agent_framework import ChatClientAgent
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from agent_framework.openai import OpenAIAssistantsClient
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from openai import AsyncOpenAI
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from pydantic import Field
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def get_weather(
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location: Annotated[str, Field(description="The location to get the weather for.")],
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) -> str:
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"""Get the weather for a given location."""
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conditions = ["sunny", "cloudy", "rainy", "stormy"]
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return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
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async def main() -> None:
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print("=== OpenAI Assistants Chat Client with Existing Assistant ===")
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# Create the client
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client = AsyncOpenAI()
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# Create an assistant that will persist
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created_assistant = await client.beta.assistants.create(
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model=os.environ["OPENAI_CHAT_MODEL_ID"], name="WeatherAssistant"
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)
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try:
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async with ChatClientAgent(
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chat_client=OpenAIAssistantsClient(async_client=client, assistant_id=created_assistant.id),
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instructions="You are a helpful weather agent.",
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tools=get_weather,
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) as agent:
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result = await agent.run("What's the weather like in Tokyo?")
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print(f"Result: {result}\n")
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finally:
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# Clean up the assistant manually
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await client.beta.assistants.delete(created_assistant.id)
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if __name__ == "__main__":
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asyncio.run(main())
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+117
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# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from datetime import datetime, timezone
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from random import randint
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from typing import Annotated
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from agent_framework import ChatClientAgent
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from agent_framework.openai import OpenAIAssistantsClient
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from pydantic import Field
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def get_weather(
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location: Annotated[str, Field(description="The location to get the weather for.")],
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) -> str:
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"""Get the weather for a given location."""
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conditions = ["sunny", "cloudy", "rainy", "stormy"]
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return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
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def get_time() -> str:
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"""Get the current UTC time."""
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current_time = datetime.now(timezone.utc)
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return f"The current UTC time is {current_time.strftime('%Y-%m-%d %H:%M:%S')}."
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async def tools_on_agent_level() -> None:
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"""Example showing tools defined when creating the agent."""
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print("=== Tools Defined on Agent Level ===")
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# Tools are provided when creating the agent
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# The agent can use these tools for any query during its lifetime
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async with ChatClientAgent(
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chat_client=OpenAIAssistantsClient(),
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instructions="You are a helpful assistant that can provide weather and time information.",
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tools=[get_weather, get_time], # Tools defined at agent creation
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) as agent:
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# First query - agent can use weather tool
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query1 = "What's the weather like in New York?"
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print(f"User: {query1}")
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result1 = await agent.run(query1)
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print(f"Agent: {result1}\n")
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# Second query - agent can use time tool
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query2 = "What's the current UTC time?"
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print(f"User: {query2}")
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result2 = await agent.run(query2)
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print(f"Agent: {result2}\n")
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# Third query - agent can use both tools if needed
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query3 = "What's the weather in London and what's the current UTC time?"
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print(f"User: {query3}")
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result3 = await agent.run(query3)
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print(f"Agent: {result3}\n")
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async def tools_on_run_level() -> None:
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"""Example showing tools passed to the run method."""
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print("=== Tools Passed to Run Method ===")
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# Agent created without tools
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async with ChatClientAgent(
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chat_client=OpenAIAssistantsClient(),
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instructions="You are a helpful assistant.",
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# No tools defined here
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) as agent:
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# First query with weather tool
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query1 = "What's the weather like in Seattle?"
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print(f"User: {query1}")
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result1 = await agent.run(query1, tools=[get_weather]) # Tool passed to run method
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print(f"Agent: {result1}\n")
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# Second query with time tool
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query2 = "What's the current UTC time?"
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print(f"User: {query2}")
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result2 = await agent.run(query2, tools=[get_time]) # Different tool for this query
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print(f"Agent: {result2}\n")
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# Third query with multiple tools
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query3 = "What's the weather in Chicago and what's the current UTC time?"
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print(f"User: {query3}")
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result3 = await agent.run(query3, tools=[get_weather, get_time]) # Multiple tools
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print(f"Agent: {result3}\n")
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async def mixed_tools_example() -> None:
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"""Example showing both agent-level tools and run-method tools."""
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print("=== Mixed Tools Example (Agent + Run Method) ===")
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# Agent created with some base tools
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async with ChatClientAgent(
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chat_client=OpenAIAssistantsClient(),
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instructions="You are a comprehensive assistant that can help with various information requests.",
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tools=[get_weather], # Base tool available for all queries
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) as agent:
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# Query using both agent tool and additional run-method tools
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query = "What's the weather in Denver and what's the current UTC time?"
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print(f"User: {query}")
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# Agent has access to get_weather (from creation) + additional tools from run method
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result = await agent.run(
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query,
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tools=[get_time], # Additional tools for this specific query
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)
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print(f"Agent: {result}\n")
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async def main() -> None:
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print("=== OpenAI Assistants Chat Client Agent with Function Tools Examples ===\n")
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await tools_on_agent_level()
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await tools_on_run_level()
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await mixed_tools_example()
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if __name__ == "__main__":
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asyncio.run(main())
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+128
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# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from random import randint
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from typing import Annotated
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from agent_framework import ChatClientAgent, ChatClientAgentThread
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from agent_framework.openai import OpenAIAssistantsClient
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from pydantic import Field
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def get_weather(
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location: Annotated[str, Field(description="The location to get the weather for.")],
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) -> str:
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"""Get the weather for a given location."""
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conditions = ["sunny", "cloudy", "rainy", "stormy"]
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return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
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async def example_with_automatic_thread_creation() -> None:
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"""Example showing automatic thread creation (service-managed thread)."""
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print("=== Automatic Thread Creation Example ===")
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async with ChatClientAgent(
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chat_client=OpenAIAssistantsClient(),
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instructions="You are a helpful weather agent.",
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tools=get_weather,
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) as agent:
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# First conversation - no thread provided, will be created automatically
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query1 = "What's the weather like in Seattle?"
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print(f"User: {query1}")
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result1 = await agent.run(query1)
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print(f"Agent: {result1.text}")
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# Second conversation - still no thread provided, will create another new thread
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query2 = "What was the last city I asked about?"
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print(f"\nUser: {query2}")
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result2 = await agent.run(query2)
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print(f"Agent: {result2.text}")
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print("Note: Each call creates a separate thread, so the agent doesn't remember previous context.\n")
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async def example_with_thread_persistence() -> None:
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"""Example showing thread persistence across multiple conversations."""
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print("=== Thread Persistence Example ===")
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print("Using the same thread across multiple conversations to maintain context.\n")
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async with ChatClientAgent(
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chat_client=OpenAIAssistantsClient(),
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instructions="You are a helpful weather agent.",
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tools=get_weather,
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) as agent:
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# Create a new thread that will be reused
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thread = agent.get_new_thread()
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# First conversation
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query1 = "What's the weather like in Tokyo?"
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print(f"User: {query1}")
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result1 = await agent.run(query1, thread=thread)
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print(f"Agent: {result1.text}")
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# Second conversation using the same thread - maintains context
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query2 = "How about London?"
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print(f"\nUser: {query2}")
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result2 = await agent.run(query2, thread=thread)
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print(f"Agent: {result2.text}")
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# Third conversation - agent should remember both previous cities
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query3 = "Which of the cities I asked about has better weather?"
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print(f"\nUser: {query3}")
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result3 = await agent.run(query3, thread=thread)
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print(f"Agent: {result3.text}")
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print("Note: The agent remembers context from previous messages in the same thread.\n")
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async def example_with_existing_thread_id() -> None:
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"""Example showing how to work with an existing thread ID from the service."""
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print("=== Existing Thread ID Example ===")
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print("Using a specific thread ID to continue an existing conversation.\n")
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# First, create a conversation and capture the thread ID
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existing_thread_id = None
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async with ChatClientAgent(
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chat_client=OpenAIAssistantsClient(),
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instructions="You are a helpful weather agent.",
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tools=get_weather,
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) as agent:
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# Start a conversation and get the thread ID
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thread = agent.get_new_thread()
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query1 = "What's the weather in Paris?"
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print(f"User: {query1}")
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result1 = await agent.run(query1, thread=thread)
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print(f"Agent: {result1.text}")
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# The thread ID is set after the first response
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existing_thread_id = thread.id
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print(f"Thread ID: {existing_thread_id}")
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if existing_thread_id:
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print("\n--- Continuing with the same thread ID in a new agent instance ---")
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# Create a new agent instance but use the existing thread ID
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async with ChatClientAgent(
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chat_client=OpenAIAssistantsClient(thread_id=existing_thread_id),
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instructions="You are a helpful weather agent.",
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tools=get_weather,
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) as agent:
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# Create a thread with the existing ID
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thread = ChatClientAgentThread(id=existing_thread_id)
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query2 = "What was the last city I asked about?"
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print(f"User: {query2}")
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result2 = await agent.run(query2, thread=thread)
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print(f"Agent: {result2.text}")
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print("Note: The agent continues the conversation from the previous thread.\n")
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async def main() -> None:
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print("=== OpenAI Assistants Chat Client Agent Thread Management Examples ===\n")
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await example_with_automatic_thread_creation()
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await example_with_thread_persistence()
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await example_with_existing_thread_id()
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if __name__ == "__main__":
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asyncio.run(main())
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