langchain/docs/modules/agents/tools/tools_as_openai_functions.ipynb

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2023-06-13 17:52:54 +00:00
{
"cells": [
{
"cell_type": "markdown",
"id": "4111c9d4",
"metadata": {},
"source": [
"# Tools as OpenAI Functions\n",
"\n",
"This notebook goes over how to use LangChain tools as OpenAI functions."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "d65d8a60",
"metadata": {},
"outputs": [],
"source": [
"from langchain.chat_models import ChatOpenAI\n",
"from langchain.schema import HumanMessage"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "abd8dc72",
"metadata": {},
"outputs": [],
"source": [
"model = ChatOpenAI(model=\"gpt-3.5-turbo-0613\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "dce2cdb7",
"metadata": {},
"outputs": [],
"source": [
"from langchain.tools import MoveFileTool, format_tool_to_openai_function"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "3b3dc766",
"metadata": {},
"outputs": [],
"source": [
"tools = [MoveFileTool()]\n",
"functions = [format_tool_to_openai_function(t) for t in tools]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "230a7939",
"metadata": {},
"outputs": [],
"source": [
"message = model.predict_messages([HumanMessage(content='move file foo to bar')], functions=functions)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "c118c940",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"AIMessage(content='', additional_kwargs={'function_call': {'name': 'move_file', 'arguments': '{\\n \"source_path\": \"foo\",\\n \"destination_path\": \"bar\"\\n}'}}, example=False)"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"message"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "d618e3d8",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'name': 'move_file',\n",
" 'arguments': '{\\n \"source_path\": \"foo\",\\n \"destination_path\": \"bar\"\\n}'}"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"message.additional_kwargs['function_call']"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "751da79f",
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.9.1"
}
},
"nbformat": 4,
"nbformat_minor": 5
}