跳到主要内容
LarkSuite 是字节跳动开发的企业协作平台。
本笔记本介绍了如何将数据从 LarkSuite REST API 加载到可由 LangChain 接收的格式中，以及文本摘要的示例用法。 LarkSuite API 需要访问令牌（tenant_access_token 或 user_access_token），请查看 LarkSuite 开放平台文档 了解 API 详细信息。
from getpass import getpass

from langchain_community.document_loaders.larksuite import (
    LarkSuiteDocLoader,
    LarkSuiteWikiLoader,
)

DOMAIN = input("larksuite domain")
ACCESS_TOKEN = getpass("larksuite tenant_access_token or user_access_token")
DOCUMENT_ID = input("larksuite document id")

​
从文档加载

from pprint import pprint

larksuite_loader = LarkSuiteDocLoader(DOMAIN, ACCESS_TOKEN, DOCUMENT_ID)
docs = larksuite_loader.load()

pprint(docs)

[Document(page_content='Test Doc\nThis is a Test Doc\n\n1\n2\n3\n\n', metadata={'document_id': 'V76kdbd2HoBbYJxdiNNccajunPf', 'revision_id': 11, 'title': 'Test Doc'})]

​
从维基加载

from pprint import pprint

DOCUMENT_ID = input("larksuite wiki id")
larksuite_loader = LarkSuiteWikiLoader(DOMAIN, ACCESS_TOKEN, DOCUMENT_ID)
docs = larksuite_loader.load()

pprint(docs)

[Document(page_content='Test doc\nThis is a test wiki doc.\n', metadata={'document_id': 'TxOKdtMWaoSTDLxYS4ZcdEI7nwc', 'revision_id': 15, 'title': 'Test doc'})]

# see https://python.langchain.ac.cn/docs/use_cases/summarization for more details
from langchain.chains.summarize import load_summarize_chain
from langchain_community.llms.fake import FakeListLLM

llm = FakeListLLM()
chain = load_summarize_chain(llm, chain_type="map_reduce")
chain.run(docs)
在 GitHub 上编辑此页面源文件。
以编程方式连接这些文档到 Claude、VSCode 等，通过 MCP 获取实时答案。
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