AI Agent 入门

autogen.AssistantAgent( name="Coder", llm_config=llm_config, ) pm = autogen.AssistantAgent( name="Product_manager", system_message="Creative in software product ideas.", llm_config=llm_config, )

user_proxy = UserProxyAgent(name="user_proxy")

system_message="For weather related tasks, only use the functions you have been provided with. Reply TERMINATE when the task is done."

user_proxy.initiate_chat( chatbot, message="I am planning a trip to NYC next week, can you help me pick out what to wear? ", )

chatbot (to user_proxy):

***** Suggested tool Call: get_weather ***** Arguments: {"location":"New York City, NY","time_periond:"7","temperature_unit":"Celsius"} ******************************************************** --------------------------------------------------------------------------------

>>>>>>>> EXECUTING FUNCTION get_weather... user_proxy (to chatbot): ***** Response from calling function "get_weather" ***** 112.22727272727272 EUR ****************************************************************

import asyncio
from typing import Annotated

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."""
    return f"The weather in {location} is sunny with a high of 22°C."


async def main():
    agent = Agent(
        client=OpenAIChatClient(),
        instructions="You are a helpful assistant that can answer weather questions.",
        tools=[get_weather],
    )

    response = await agent.run("What's the weather in Amsterdam?")
    print(response)


asyncio.run(main())

from azure.identity.aio import AzureCliCredential
from agent_framework.openai import OpenAIChatClient

client = OpenAIChatClient(
    model="my-gpt-4o-deployment",
    azure_endpoint="https://my-resource.openai.azure.com",
    credential=AzureCliCredential(),
)

from agent_framework.orchestrations import SequentialBuilder, ConcurrentBuilder

# 按顺序运行代理，将对话上下文沿链传递
sequential = SequentialBuilder(participants=[researcher, writer, editor]).build()

# 并行分发给多个代理，然后汇总它们的响应
concurrent = ConcurrentBuilder(participants=[analyst_a, analyst_b, analyst_c]).build()

pip install agent-framework-core
# 可选集成
pip install agent-framework-openai       # OpenAI 和 Azure OpenAI
pip install agent-framework-foundry      # Microsoft Foundry

class AnomalyDetectionPlugin(Plugin): def __call__(self, df: pd.DataFrame, time_col_name: str, value_col_name: str):

[{"task": "object-detection", "id": 0, "dep": [-1], "args": {"image": "e1.jpg" }}]

MIT License

Copyright (c) Microsoft Corporation.

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.