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MultiON 构建了一个 AI Agent，可以与广泛的网络服务和应用程序进行交互。 本笔记本将引导您完成将 LangChain 连接到浏览器中的 MultiOn 客户端的过程。 这使得可以利用 MultiON Agent 的强大功能来创建自定义的 Agent 工作流。 要使用此工具包，您需要在浏览器中添加 MultiOn Extension： 
pip install -qU  multion langchain -q

pip install -qU langchain-community

from langchain_community.agent_toolkits import MultionToolkit

toolkit = MultionToolkit()
toolkit

MultionToolkit()

tools = toolkit.get_tools()
tools

[MultionCreateSession(), MultionUpdateSession(), MultionCloseSession()]

​
MultiOn 设置

创建账户后，请在 app.multion.ai/ 创建一个 API 密钥。 登录以建立与您的扩展程序的连接。 
# 授权连接到您的浏览器扩展程序
import multion

multion.login()

Logged in.

​
在 Agent 中使用 multion 工具包

这将使用 MultiON Chrome 扩展程序来执行所需的操作。 我们可以运行以下代码，并查看追踪以查看：
  • Agent 使用了 create_multion_session 工具
  • 然后它使用 MultiON 来执行查询
from langchain_classic import hub
from langchain.agents import AgentExecutor, create_openai_functions_agent
from langchain_openai import ChatOpenAI

# 提示
instructions = """You are an assistant."""
base_prompt = hub.pull("langchain-ai/openai-functions-template")
prompt = base_prompt.partial(instructions=instructions)

# LLM
llm = ChatOpenAI(temperature=0)

# Agent
agent = create_openai_functions_agent(llm, toolkit.get_tools(), prompt)
agent_executor = AgentExecutor(
    agent=agent,
    tools=toolkit.get_tools(),
    verbose=False,
)

agent_executor.invoke(
    {
        "input": "Use multion to explain how AlphaCodium works, a recently released code language model."
    }
)

WARNING: 'new_session' is deprecated and will be removed in a future version. Use 'create_session' instead.
WARNING: 'update_session' is deprecated and will be removed in a future version. Use 'step_session' instead.
WARNING: 'update_session' is deprecated and will be removed in a future version. Use 'step_session' instead.
WARNING: 'update_session' is deprecated and will be removed in a future version. Use 'step_session' instead.
WARNING: 'update_session' is deprecated and will be removed in a future version. Use 'step_session' instead.

{'input': 'Use multion to how AlphaCodium works, a recently released code language model.',
 'output': 'AlphaCodium is a recently released code language model that is designed to assist developers in writing code more efficiently. It is based on advanced machine learning techniques and natural language processing. AlphaCodium can understand and generate code in multiple programming languages, making it a versatile tool for developers.\n\nThe model is trained on a large dataset of code snippets and programming examples, allowing it to learn patterns and best practices in coding. It can provide suggestions and auto-complete code based on the context and the desired outcome.\n\nAlphaCodium also has the ability to analyze code and identify potential errors or bugs. It can offer recommendations for improving code quality and performance.\n\nOverall, AlphaCodium aims to enhance the coding experience by providing intelligent assistance and reducing the time and effort required to write high-quality code.\n\nFor more detailed information, you can visit the official AlphaCodium website or refer to the documentation and resources available online.\n\nI hope this helps! Let me know if you have any other questions.'}
在 GitHub 上编辑此页面 或 提交问题。
连接这些文档 到 Claude、VSCode 等，通过 MCP 获取实时答案。