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Slack Toolkit

This will help you getting started with the Slack toolkit. For detailed documentation of all SlackToolkit features and configurations head to the API reference.

Setup​

To use this toolkit, you will need to get a token as explained in the Slack API docs. Once you've received a SLACK_USER_TOKEN, you can input it as an environment variable below.

import getpass
import os

if not os.getenv("SLACK_USER_TOKEN"):
    os.environ["SLACK_USER_TOKEN"] = getpass.getpass("Enter your Slack user token: ")

If you want to get automated tracing from runs of individual tools, you can also set your LangSmith API key by uncommenting below:

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

Installation​

This toolkit lives in the langchain-community package. We will also need the Slack SDK:

%pip install -qU langchain-community slack_sdk

Optionally, we can install beautifulsoup4 to assist in parsing HTML messages:

%pip install -qU beautifulsoup4 # This is optional but is useful for parsing HTML messages

Instantiation​

Now we can instantiate our toolkit:

from langchain_community.agent_toolkits import SlackToolkit

toolkit = SlackToolkit()
API Reference:SlackToolkit

Tools​

View available tools:

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>)]

This toolkit loads:

Use within an agent​

Let's equip an agent with the Slack toolkit and query for information about a channel.

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)
API Reference:ChatOpenAI
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 reference​

For detailed documentation of all SlackToolkit features and configurations head to the API reference.

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