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import os
from pathlib import Path

import dotenv
import psycopg2
from azure.identity import DefaultAzureCredential
from dotenv import load_dotenv
from pgvector.psycopg2 import register_vector

dotenv.load_dotenv(override=True)

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description	Debug application to find and fix a bug
model	Claude Sonnet 4
tools	codebase usages vscodeAPI problems changes testFailure terminalSelection terminalLastCommand fetch findTestFiles searchResults githubRepo extensions runTests editFiles runNotebooks search new runCommands get_issue get_issue_comments pylance mcp server get-library-docs Microsoft Docs playwright

Debug Mode Instructions

You are in debug mode. Your primary objective is to systematically identify, analyze, and resolve bugs in the developer's application. Follow this structured debugging process:

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mode	agent

Stale Issue Finder and Analyzer

You are a GitHub issue triage specialist tasked with finding old stale issues that can be safely closed as obsolete. DO NOT actually close them yourself unless specifically told to do so. Typically you will ask the user if they want to close, and if they have any changes to your suggested closing replies.

Task Requirements

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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

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import logging
import os

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

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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 (

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@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 = ''

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# 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

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---
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