mirror of
https://github.com/hwchase17/langchain
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43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
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from typing import Optional, Type
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from langchain_core.callbacks import CallbackManagerForToolRun
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from langchain_core.pydantic_v1 import BaseModel, Field
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from langchain_community.tools.slack.base import SlackBaseTool
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class SendMessageSchema(BaseModel):
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"""Input for SendMessageTool."""
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message: str = Field(
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...,
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description="The message to be sent.",
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)
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channel: str = Field(
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...,
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description="The channel, private group, or IM channel to send message to.",
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)
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class SlackSendMessage(SlackBaseTool):
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"""Tool for sending a message in Slack."""
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name: str = "send_message"
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description: str = (
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"Use this tool to send a message with the provided message fields."
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)
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args_schema: Type[SendMessageSchema] = SendMessageSchema
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def _run(
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self,
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message: str,
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channel: str,
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> str:
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try:
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result = self.client.chat_postMessage(channel=channel, text=message)
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output = "Message sent: " + str(result)
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return output
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except Exception as e:
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return "Error creating conversation: {}".format(e)
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