AIBugger 🤖

AIBugger is a powerful, AI-driven debugging tool for Python. It automatically catches exceptions, analyzes them using an LLM, and provides actionable fixes and explanations directly in your console (or via Slack/Webhooks).

Features

• 🪝 Automatic Exception Hooking: Catches uncaught exceptions seamlessly.
• 🧠 AI Analysis: Uses Gemini or OpenAI to explain why the error happened.
• 🚀 Multi-Channel Notifications:
  • Console (Default)
  • Slack
  • Custom Webhooks
• 🔌 Pluggable Architecture: Easily add your own handlers or LLM providers.

Installation

pip install aibugger

(Note: Package is not yet on PyPI, install from source/git)

Usage

Basic Usage (Console)

from aibugger import AIBugger, GeminiClient

# Initialize with your API key
client = GeminiClient(api_key="your-api-key")
debugger = AIBugger(llm_client=client)

# Install the hook
debugger.install()

# Your code here...
print(1 / 0)  # Exception will be caught and analyzed!

Slack Integration

from aibugger import AIBugger, OpenAIClient, SlackHandler

client = OpenAIClient(api_key="sk-...")
slack = SlackHandler(webhook_url="https://hooks.slack.com/...")

debugger = AIBugger(llm_client=client, handlers=[slack])
debugger.install()

Configuration

You can also use environment variables:

• GEMINI_API_KEY
• OPENAI_API_KEY