Skip to main content
Open In Colab在 GitHub 上打开

Gmail 工具包

这将帮助您开始使用 GMail 工具包。此工具包与 GMail API 交互以读取消息、起草和发送消息等。有关所有 GmailToolkit 功能和配置的详细文档，请参阅 API 参考。

设置

要使用此工具包，您需要设置 Gmail API 文档中说明的凭据。下载credentials.json文件中，您可以开始使用 Gmail API。

安装

此工具包位于langchain-google-community包。我们需要gmail额外：

%pip install -qU langchain-google-community\[gmail\]

要启用单个工具的自动跟踪，请设置您的 LangSmith API 密钥：

# os.environ["LANGSMITH_TRACING"] = "true"
# os.environ["LANGSMITH_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")

实例

默认情况下，工具包会读取本地的credentials.json文件。您还可以手动提供Credentials对象。

from langchain_google_community import GmailToolkit

toolkit = GmailToolkit()
API 参考：GmailToolkit

自定义身份验证

在幕后，googleapi资源使用以下方法创建。 您可以手动构建一个googleapi资源进行更多身份验证控制。

from langchain_google_community.gmail.utils import (
    build_resource_service,
    get_gmail_credentials,
)

# Can review scopes here https://developers.google.com/gmail/api/auth/scopes
# For instance, readonly scope is 'https://www.googleapis.com/auth/gmail.readonly'
credentials = get_gmail_credentials(
    token_file="token.json",
    scopes=["https://mail.google.com/"],
    client_secrets_file="credentials.json",
)
api_resource = build_resource_service(credentials=credentials)
toolkit = GmailToolkit(api_resource=api_resource)

工具

查看可用工具：

tools = toolkit.get_tools()
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>)]

在代理内使用

下面我们将展示如何将工具包合并到代理中。

我们需要一个 LLM 或聊天模型：

pip install -qU "langchain[openai]"
import getpass
import os

if not os.environ.get("OPENAI_API_KEY"):
  os.environ["OPENAI_API_KEY"] = getpass.getpass("Enter API key for OpenAI: ")

from langchain.chat_models import init_chat_model

llm = init_chat_model("gpt-4o-mini", model_provider="openai")
from langgraph.prebuilt import create_react_agent

agent_executor = create_react_agent(llm, tools)
API 参考：create_react_agent
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()
================================ Human Message =================================

Draft an email to fake@fake.com thanking them for coffee.
================================== Ai Message ==================================
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
================================= Tool Message =================================
Name: create_gmail_draft

Draft created. Draft Id: r-7233782721440261513
================================== Ai Message ==================================

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".

API 参考

有关所有GmailToolkit功能和配置可参考 API 参考。