wehub-resource-sync
101 lines
2.9 KiB
Plaintext
101 lines
2.9 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import os\n",
|
|
"from dotenv import load_dotenv\n",
|
|
"\n",
|
|
"load_dotenv()\n",
|
|
"\n",
|
|
"from azure.identity import DefaultAzureCredential, get_bearer_token_provider\n",
|
|
"from openai import OpenAI\n",
|
|
"\n",
|
|
"# This sample uses the Azure OpenAI Responses API via the stable /openai/v1/ endpoint.\n",
|
|
"# GitHub Models is deprecated (retiring July 2026) and does not support the Responses API,\n",
|
|
"# so we call Azure OpenAI directly instead.\n",
|
|
"endpoint = os.environ[\"AZURE_OPENAI_ENDPOINT\"]\n",
|
|
"deployment = os.environ.get(\"AZURE_OPENAI_DEPLOYMENT\", \"gpt-4o-mini\")\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Authenticate with Entra ID (run `az login` first). No API version is needed with the v1 endpoint.\n",
|
|
"token_provider = get_bearer_token_provider(\n",
|
|
" DefaultAzureCredential(),\n",
|
|
" \"https://cognitiveservices.azure.com/.default\",\n",
|
|
")\n",
|
|
"\n",
|
|
"client = OpenAI(\n",
|
|
" base_url=f\"{endpoint.rstrip('/')}/openai/v1/\",\n",
|
|
" api_key=token_provider,\n",
|
|
")\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"role = \"travel agent\"\n",
|
|
"company = \"contoso travel\"\n",
|
|
"responsibility = \"booking flights\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"response = client.responses.create(\n",
|
|
" model=deployment,\n",
|
|
" input=[\n",
|
|
" {\"role\": \"system\", \"content\": \"\"\"You are an expert at creating AI agent assistants. \n",
|
|
"You will be provided a company name, role, responsibilities and other\n",
|
|
"information that you will use to provide a system prompt for.\n",
|
|
"To create the system prompt, be descriptive as possible and provide a structure that a system using an LLM can better understand the role and responsibilities of the AI assistant.\"\"\"},\n",
|
|
" {\"role\": \"user\", \"content\": f\"You are {role} at {company} that is responsible for {responsibility}.\"},\n",
|
|
" ],\n",
|
|
" # Optional parameters\n",
|
|
" temperature=1.0,\n",
|
|
" max_output_tokens=1000,\n",
|
|
" top_p=1.0,\n",
|
|
" store=False,\n",
|
|
")\n",
|
|
"\n",
|
|
"print(response.output_text)\n"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": ".venv",
|
|
"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": "3.13.1"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|