MultiOn 工具包
MultiON 构建了一个可以与广泛的网络服务和应用程序互动的AI代理。
本笔记本将指导您如何在浏览器中将LangChain连接到MultiOn客户端。
这使得能够利用MultiON代理的强大功能创建自定义代理工作流程。
要使用此工具包，您需要将MultiOn扩展添加到您的浏览器：
- 创建一个MultiON账户。
- 添加Chrome的MultiOn扩展。
%pip install --upgrade --quiet multion langchain -q
%pip install -qU langchain-community
<!--IMPORTS:[{"imported": "MultionToolkit", "source": "langchain_community.agent_toolkits", "docs": "https://python.langchain.com/api_reference/community/agent_toolkits/langchain_community.agent_toolkits.multion.toolkit.MultionToolkit.html", "title": "MultiOn Toolkit"}]-->
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 https://app.multion.ai/ 创建一个 API 密钥。
登录以建立与您的扩展的连接。
# Authorize connection to your Browser extention
import multion
multion.login()
Logged in.
在代理中使用 Multion 工具包
这将使用 MultiON Chrome 扩展执行所需的操作。
我 们可以运行以下内容，并查看 trace 以查看：
- 代理使用
create_multion_session工具 - 然后使用 MultiON 执行查询
<!--IMPORTS:[{"imported": "AgentExecutor", "source": "langchain.agents", "docs": "https://python.langchain.com/api_reference/langchain/agents/langchain.agents.agent.AgentExecutor.html", "title": "MultiOn Toolkit"}, {"imported": "create_openai_functions_agent", "source": "langchain.agents", "docs": "https://python.langchain.com/api_reference/langchain/agents/langchain.agents.openai_functions_agent.base.create_openai_functions_agent.html", "title": "MultiOn Toolkit"}, {"imported": "ChatOpenAI", "source": "langchain_openai", "docs": "https://python.langchain.com/api_reference/openai/chat_models/langchain_openai.chat_models.base.ChatOpenAI.html", "title": "MultiOn Toolkit"}]-->
from langchain import hub
from langchain.agents import AgentExecutor, create_openai_functions_agent
from langchain_openai import ChatOpenAI
# Prompt
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.'}
