langchain/docs/extras/integrations/toolkits/multion.ipynb
Leonid Ganeline b048236c1a
📖 docs: integrations/agent_toolkits (#9333)
Note: There are no changes in the file names!

- The group name on the main navbar changed: `Agent toolkits` -> `Agents
& Toolkits`. Examples here are the mix of the Agent and Toolkit examples
because Agents and Toolkits in examples are always used together.
- Titles changed: removed "Agent" and "Toolkit" suffixes. The reason is
the same.
- Formatting: mostly cleaning the header structure, so it could be
better on the right-side navbar.

Main navbar is looking much cleaner now.
2023-08-23 23:17:47 -07:00

134 lines
2.8 KiB
Plaintext

{
"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",
")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.12"
}
},
"nbformat": 4,
"nbformat_minor": 4
}