| description | model | tools | |||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Debug application to find and fix a bug |
Claude Sonnet 4 |
|
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:
| mode |
|---|
agent |
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.
| 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 |
| import logging | |
| import os | |
| import azure.identity | |
| import openai | |
| import pymupdf4llm | |
| from dotenv import load_dotenv | |
| from pydantic import BaseModel | |
| from rich import print |
| 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 ( |
| @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 = '' |
| # 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 |
| --- | |
| 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 |
| 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", |