Gmail工具包#
- class langchain_community.agent_toolkits.gmail.toolkit.GmailToolkit[源代码]#
基础类:
BaseToolkit
用于与Gmail交互的工具包。
- Security Note: This toolkit contains tools that can read and modify
服务状态;例如,通过读取、创建、更新、删除与此服务相关的数据。
例如,这个工具包可以用来代表关联账户发送电子邮件。
查看 https://python.langchain.com/docs/security 获取更多信息。
- Setup:
您需要一个Google的credentials.json文件来使用这个工具包。 请参阅这里的说明:https://python.langchain.com/docs/integrations/tools/gmail/#setup
- Key init args:
api_resource: 可选的。Google API 资源。默认值为 None。
- Instantiate:
from langchain_google_community import GmailToolkit toolkit = GmailToolkit()
- Tools:
toolkit.get_tools()
[GmailCreateDraft(api_resource=<googleapiclient.discovery.Resource object at 0x1094509d0>), GmailSendMessage(api_resource=<googleapiclient.discovery.Resource object at 0x1094509d0>), GmailSearch(api_resource=<googleapiclient.discovery.Resource object at 0x1094509d0>), GmailGetMessage(api_resource=<googleapiclient.discovery.Resource object at 0x1094509d0>), GmailGetThread(api_resource=<googleapiclient.discovery.Resource object at 0x1094509d0>)]
- Use within an agent:
from langchain_openai import ChatOpenAI from langgraph.prebuilt import create_react_agent llm = ChatOpenAI(model="gpt-4o-mini") agent_executor = create_react_agent(llm, tools) example_query = "Draft an email to fake@fake.com thanking them for coffee." events = agent_executor.stream( {"messages": [("user", example_query)]}, stream_mode="values", ) for event in events: event["messages"][-1].pretty_print()
================================[1m Human Message [0m================================= Draft an email to fake@fake.com thanking them for coffee. ==================================[1m Ai Message [0m================================== Tool Calls: create_gmail_draft (call_slGkYKZKA6h3Mf1CraUBzs6M) Call ID: call_slGkYKZKA6h3Mf1CraUBzs6M Args: message: Dear Fake, I wanted to take a moment to thank you for the coffee yesterday. It was a pleasure catching up with you. Let's do it again soon! Best regards, [Your Name] to: ['fake@fake.com'] subject: Thank You for the Coffee =================================[1m Tool Message [0m================================= Name: create_gmail_draft Draft created. Draft Id: r-7233782721440261513 ==================================[1m Ai Message [0m================================== I have drafted an email to fake@fake.com thanking them for the coffee. You can review and send it from your email draft with the subject "Thank You for the Coffee".
- Parameters:
api_resource – 可选。Google API 资源。默认值为 None。
通过解析和验证来自关键字参数的输入数据来创建一个新模型。
如果输入数据无法验证以形成有效模型,则引发 [ValidationError][pydantic_core.ValidationError]。
self 被显式地设为仅位置参数,以允许 self 作为字段名称。