langchain/docs/extras/integrations/toolkits/multion.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MultiOn\n",
    "\n",
    "This notebook walks you through connecting LangChain to the `MultiOn` Client in your browser\n",
    "\n",
    "To use this toolkit, you will need to add `MultiOn Extension` to your browser as explained in the [MultiOn for Chrome](https://multion.notion.site/Download-MultiOn-ddddcfe719f94ab182107ca2612c07a5)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install --upgrade multion langchain -q"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.agents.agent_toolkits import MultionToolkit\n",
    "import os\n",
    "\n",
    "\n",
    "toolkit = MultionToolkit()\n",
    "\n",
    "toolkit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tools = toolkit.get_tools()\n",
    "tools"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MultiOn Setup\n",
    "\n",
    "Login to establish connection with your extension."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Authorize connection to your Browser extention\n",
    "import multion\n",
    "multion.login()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Use Multion Toolkit within an Agent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from langchain import OpenAI\n",
    "from langchain.agents import initialize_agent, AgentType\n",
    "llm = OpenAI(temperature=0)\n",
    "from langchain.agents.agent_toolkits import MultionToolkit\n",
    "toolkit = MultionToolkit()\n",
    "tools=toolkit.get_tools()\n",
    "agent = initialize_agent(\n",
    "    tools=toolkit.get_tools(),\n",
    "    llm=llm,\n",
    "    agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION,\n",
    "    verbose = True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "agent.run(\n",
    "    \"Tweet 'Hi from MultiOn'\"\n",
    ")"
   ]
  }
 ],
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