Documentation Index
Fetch the complete documentation index at: https://langchain-zh.cn/llms.txt
Use this file to discover all available pages before exploring further.
这将帮助您开始使用 Slack 工具包。有关所有 SlackToolkit 功能和配置的详细文档,请前往 API 参考。
要使用此工具包,您需要按照 Slack API 文档 中的说明获取令牌。收到 SLACK_USER_TOKEN 后,您可以将其作为环境变量输入如下。
import getpass
import os
if not os.getenv("SLACK_USER_TOKEN"):
os.environ["SLACK_USER_TOKEN"] = getpass.getpass("Enter your Slack user token: ")
要启用单个工具的自动追踪,请设置您的 LangSmith API 密钥:
os.environ["LANGSMITH_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")
os.environ["LANGSMITH_TRACING"] = "true"
此工具包位于 langchain-community 包中。我们还需要 Slack SDK:
pip install -qU langchain-community slack_sdk
可选地,我们可以安装 beautifulsoup4 以协助解析 HTML 消息:
pip install -qU beautifulsoup4 # This is optional but is useful for parsing HTML messages
实例化
现在我们可以实例化我们的工具包:
from langchain_community.agent_toolkits import SlackToolkit
toolkit = SlackToolkit()
查看可用工具:
tools = toolkit.get_tools()
tools
[SlackGetChannel(client=<slack_sdk.web.client.WebClient object at 0x113caa8c0>),
SlackGetMessage(client=<slack_sdk.web.client.WebClient object at 0x113caa4d0>),
SlackScheduleMessage(client=<slack_sdk.web.client.WebClient object at 0x113caa440>),
SlackSendMessage(client=<slack_sdk.web.client.WebClient object at 0x113caa410>)]
此工具包加载了以下工具:
在代理中使用
让我们为代理配备 Slack 工具包,并查询有关频道的信息。
from langchain_openai import ChatOpenAI
from langchain.agents import create_agent
model = ChatOpenAI(model="gpt-4.1-mini")
agent_executor = create_agent(model, tools)
example_query = "When was the #general channel created?"
events = agent_executor.stream(
{"messages": [("user", example_query)]},
stream_mode="values",
)
for event in events:
message = event["messages"][-1]
if message.type != "tool": # mask sensitive information
event["messages"][-1].pretty_print()
================================ Human Message =================================
When was the #general channel created?
================================== Ai Message ==================================
Tool Calls:
get_channelid_name_dict (call_NXDkALjoOx97uF1v0CoZTqtJ)
Call ID: call_NXDkALjoOx97uF1v0CoZTqtJ
Args:
================================== Ai Message ==================================
The #general channel was created on timestamp 1671043305.
example_query = "Send a friendly greeting to channel C072Q1LP4QM."
events = agent_executor.stream(
{"messages": [("user", example_query)]},
stream_mode="values",
)
for event in events:
message = event["messages"][-1]
if message.type != "tool": # mask sensitive information
event["messages"][-1].pretty_print()
================================ Human Message =================================
Send a friendly greeting to channel C072Q1LP4QM.
================================== Ai Message ==================================
Tool Calls:
send_message (call_xQxpv4wFeAZNZgSBJRIuaizi)
Call ID: call_xQxpv4wFeAZNZgSBJRIuaizi
Args:
message: Hello! Have a great day!
channel: C072Q1LP4QM
================================== Ai Message ==================================
I have sent a friendly greeting to the channel C072Q1LP4QM.
API 参考
有关所有 SlackToolkit 功能和配置的详细文档,请前往 API 参考。