๐ง AI-Powered Code AssistantsJune 14, 2026โ
Tests passing
AI Debug Assistant
A CLI tool that uses AI to analyze Python error messages and suggest potential fixes, including code snippets or steps to debug issues. This helps developers quickly understand and resolve issues without manually searching for solutions.
What It Does
- Analyze Python error messages.
- Get detailed debugging suggestions.
- Supports input via CLI arguments or log files.
Installation
Install the required Python packages:
pip install openai rich pytestUsage
CLI
Provide an error message directly:
python ai_debug_assistant.py --error "NameError: name 'x' is not defined"Or provide a log file containing the error message:
python ai_debug_assistant.py --logfile path/to/logfile.txtEnvironment Variables
Set the OPENAI_API_KEY environment variable to authenticate with the OpenAI API:
export OPENAI_API_KEY=your_openai_api_keySource Code
import argparse
import openai
from rich.console import Console
from rich.panel import Panel
import os
def analyze_error_message(error_message):
"""
Analyze the given Python error message using OpenAI's GPT model
and return debugging suggestions.
Args:
error_message (str): The Python error message to analyze.
Returns:
str: Debugging suggestions and potential fixes.
"""
try:
openai.api_key = os.getenv("OPENAI_API_KEY")
if not openai.api_key:
return "OPENAI_API_KEY environment variable is not set."
response = openai.Completion.create(
engine="text-davinci-003",
prompt=(
f"You are an expert Python debugging assistant. Analyze the following error message and provide a detailed explanation, possible causes, and potential fixes with code snippets if applicable:\n\n"
f"Error Message: {error_message}\n"
),
max_tokens=300,
temperature=0.7
)
return response.choices[0].text.strip()
except Exception as e:
return f"An error occurred while processing the error message: {str(e)}"
def main():
parser = argparse.ArgumentParser(
description="AI Debug Assistant: Analyze Python error messages and get debugging suggestions."
)
parser.add_argument(
"--error",
type=str,
help="The Python error message to analyze.",
required=False
)
parser.add_argument(
"--logfile",
type=str,
help="Path to a log file containing the Python error message.",
required=False
)
args = parser.parse_args()
if not args.error and not args.logfile:
print("Error: You must provide either --error or --logfile.")
return
if args.logfile:
try:
with open(args.logfile, "r") as file:
error_message = file.read().strip()
except FileNotFoundError:
print(f"Error: The file '{args.logfile}' was not found.")
return
except Exception as e:
print(f"Error: Unable to read the file. {str(e)}")
return
else:
error_message = args.error
if not error_message:
print("Error: The provided error message is empty.")
return
console = Console()
console.print(Panel.fit("[bold blue]Analyzing error message...[/bold blue]"))
suggestions = analyze_error_message(error_message)
console.print(Panel(suggestions, title="[green]Debugging Suggestions[/green]", expand=False))
if __name__ == "__main__":
main()Community
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Details
- Tool Name
- ai_debug_assistant
- Category
- AI-Powered Code Assistants
- Generated
- June 14, 2026
- Tests
- Passing โ
- Fix Loops
- 2
Quick Install
Clone just this tool:
git clone --depth 1 --filter=blob:none --sparse \ https://github.com/ptulin/autoaiforge.git cd autoaiforge git sparse-checkout set generated_tools/2026-06-14/ai_debug_assistant cd generated_tools/2026-06-14/ai_debug_assistant pip install -r requirements.txt 2>/dev/null || true python ai_debug_assistant.py