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https://github.com/hwchase17/langchain.git
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efc687a13b
Believe the current implementation raises PydanticUserError following [this](https://github.com/pydantic/pydantic/releases/tag/v2.10.1) Pydantic release. Resolves https://github.com/langchain-ai/langchain/issues/28989
113 lines
3.6 KiB
Python
113 lines
3.6 KiB
Python
from __future__ import annotations
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from typing import TYPE_CHECKING, List
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from langchain_core.tools import BaseTool
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from langchain_core.tools.base import BaseToolkit
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from pydantic import ConfigDict, Field
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from langchain_community.tools.slack.get_channel import SlackGetChannel
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from langchain_community.tools.slack.get_message import SlackGetMessage
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from langchain_community.tools.slack.schedule_message import SlackScheduleMessage
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from langchain_community.tools.slack.send_message import SlackSendMessage
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from langchain_community.tools.slack.utils import login
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if TYPE_CHECKING:
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# This is for linting and IDE typehints
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from slack_sdk import WebClient
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else:
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try:
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# We do this so pydantic can resolve the types when instantiating
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from slack_sdk import WebClient
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except ImportError:
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pass
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class SlackToolkit(BaseToolkit):
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"""Toolkit for interacting with Slack.
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Parameters:
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client: The Slack client.
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Setup:
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Install ``slack_sdk`` and set environment variable ``SLACK_USER_TOKEN``.
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.. code-block:: bash
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pip install -U slack_sdk
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export SLACK_USER_TOKEN="your-user-token"
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Key init args:
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client: slack_sdk.WebClient
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The Slack client.
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Instantiate:
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.. code-block:: python
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from langchain_community.agent_toolkits import SlackToolkit
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toolkit = SlackToolkit()
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Tools:
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.. code-block:: python
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tools = toolkit.get_tools()
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tools
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.. code-block:: none
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[SlackGetChannel(client=<slack_sdk.web.client.WebClient object at 0x113caa8c0>),
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SlackGetMessage(client=<slack_sdk.web.client.WebClient object at 0x113caa4d0>),
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SlackScheduleMessage(client=<slack_sdk.web.client.WebClient object at 0x113caa440>),
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SlackSendMessage(client=<slack_sdk.web.client.WebClient object at 0x113caa410>)]
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Use within an agent:
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.. code-block:: python
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from langchain_openai import ChatOpenAI
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from langgraph.prebuilt import create_react_agent
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llm = ChatOpenAI(model="gpt-4o-mini")
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agent_executor = create_react_agent(llm, tools)
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example_query = "When was the #general channel created?"
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events = agent_executor.stream(
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{"messages": [("user", example_query)]},
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stream_mode="values",
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)
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for event in events:
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message = event["messages"][-1]
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if message.type != "tool": # mask sensitive information
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event["messages"][-1].pretty_print()
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.. code-block:: none
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================================[1m Human Message [0m=================================
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When was the #general channel created?
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==================================[1m Ai Message [0m==================================
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Tool Calls:
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get_channelid_name_dict (call_NXDkALjoOx97uF1v0CoZTqtJ)
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Call ID: call_NXDkALjoOx97uF1v0CoZTqtJ
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Args:
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==================================[1m Ai Message [0m==================================
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The #general channel was created on timestamp 1671043305.
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""" # noqa: E501
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client: WebClient = Field(default_factory=login)
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model_config = ConfigDict(
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arbitrary_types_allowed=True,
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)
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def get_tools(self) -> List[BaseTool]:
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"""Get the tools in the toolkit."""
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return [
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SlackGetChannel(),
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SlackGetMessage(),
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SlackScheduleMessage(),
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SlackSendMessage(),
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]
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