pamelafox

import asyncio
import httpx

async def fetch_url(url):
  print(f"Fetching {url}")
  async with httpx.AsyncClient(timeout=httpx.Timeout(10.0)) as client:
    r = await client.get(url)
    print(f"Received {url} with status code {r.status_code}")
    return r.text

pamelafox

import logging
import os

import azure.identity
import openai
import pymupdf4llm
from dotenv import load_dotenv
from pydantic import BaseModel
from rich import print

pamelafox

pamelafox

import io
import os
import traceback
from enum import Enum

from azure.identity.aio import (
    AzureDeveloperCliCredential,
)
from azure.search.documents.aio import SearchClient
from azure.search.documents.models import (

pamelafox

@minLength(1)
@description('Primary location for all resources')
param location string

@description('The AI Hub resource name.')
param hubName string
@description('The AI Project resource name.')
param projectName string
@description('The Storage Account resource ID.')
param storageAccountId string = ''

pamelafox

# pip install azure-identity
# pip install pydantic-ai

from openai import AsyncAzureOpenAI
from azure.identity.aio import (
    AzureCliCredential,
    get_bearer_token_provider,
)

from pydantic_ai import Agent

pamelafox

---
name: Tutorness
description: Evaluates how well the responses simulate a tutor
model:
  api: chat
  parameters:
    temperature: 0.0
    max_tokens: 800
    top_p: 1.0
    presence_penalty: 0

pamelafox

import openai
import prompty
import prompty.azure

# execute the prompt
try:
    response = prompty.execute("approaches/prompts/chat_answer_question.prompty",
        configuration={
            "api_version": "2024-06-01",
            "azure_endpoint": "https://cog-xxk4qzq3tahic.openai.azure.com",

pamelafox

import asyncio
import json
import logging
import os
from pathlib import Path
from typing import Any, Dict, List, Optional

import requests
from azure.ai.evaluation.simulator import Simulator
from azure.identity import AzureDeveloperCliCredential

pamelafox

import logging
import os

from azure.identity import AzureDeveloperCliCredential, get_bearer_token_provider
from dotenv import load_dotenv
from openai import AzureOpenAI

load_dotenv(override=True)
logging.basicConfig(level=logging.DEBUG)