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Python Error Explainer

Python Error Explainer

Adarsh Patel

|
3 installs
| (0) | Free
Explains Python errors in plain English using a local AI model. No internet. No fixing for you — just understanding.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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🐍 Python Error Explainer

Understand your Python errors in plain English — without asking AI to fix them for you.

Python Error Explainer watches your terminal, detects Python errors the moment they occur, and opens a clean side panel that explains what went wrong and why — in language a beginner can understand.

It does not fix your code. That part is yours.


Why this exists

When you're learning Python, the biggest enemy is not the error — it's not understanding what the error is telling you. Most beginners either:

  • Paste the error into ChatGPT and accept the fix without understanding it, or
  • Give up because the traceback looks like noise

This extension gives you a third option: read a human explanation, think about it, and fix it yourself. That's how you actually learn.


How it works

You run Python code
       ↓
Terminal shows an error
       ↓
Extension detects the traceback
       ↓
Sends it to a local AI model (Ollama) on your machine
       ↓
Side panel opens with a plain English explanation
       ↓
You read it, think, and fix it yourself

Everything runs locally on your machine. No internet. No API keys. No data sent anywhere.


Installation

Step 1 — Install the extension

Search for Python Error Explainer in the VS Code Extensions panel and click Install.

Or install from .vsix file:

code --install-extension python-error-explainer-0.0.1.vsix

Step 2 — Install Ollama (one time only)

Download from ollama.com and install it for your OS (Windows, Mac, or Linux).

Step 3 — Download the AI model (one time only)

Open any terminal and run:

ollama pull phi3

This downloads a ~2.3 GB model to your computer. It only needs to happen once.

Step 4 — You're done

Open VS Code. Run your Python code. The extension will automatically explain any errors you encounter.


Usage

Once set up, the extension works automatically. There is nothing to click.

  1. Open a .py file in VS Code
  2. Run it in the integrated terminal (python main.py)
  3. If it throws an error, a panel opens on the right side within a few seconds

Commands

Open the Command Palette (Ctrl+Shift+P / Cmd+Shift+P) and type:

Command What it does
Python Error Explainer: Toggle On/Off Pause or resume the extension
Python Error Explainer: Check Setup Verify Ollama is running

Settings

Go to File → Preferences → Settings and search for Python Error Explainer.

Setting Default Options
pythonErrorExplainer.ollamaModel phi3 phi3, llama3.2, codellama, mistral
pythonErrorExplainer.enabled true true, false
pythonErrorExplainer.ollamaUrl http://localhost:11434 Change if using remote Ollama

Changing the AI model

Different models have different strengths and sizes. To switch:

  1. Pull the model you want:
    ollama pull llama3.2
    
  2. Update the setting in VS Code: Settings → Python Error Explainer → Ollama Model → select model

Model comparison

Model Size Speed Best for
phi3 2.3 GB Fast Daily use, beginner errors
llama3.2 2 GB Fast General purpose
codellama 3.8 GB Medium Code-specific errors
mistral 4 GB Medium More detailed explanations

Troubleshooting

"Setup Required" panel keeps appearing

Ollama is not running. Open a terminal and run:

ollama serve

Ollama should auto-start on system boot after initial install. If it doesn't, you can add it to startup programs.

"Model Not Found" panel appears

You need to pull the model. Run:

ollama pull phi3

Panel appears but explanation is empty

The model may still be loading (first request after boot takes longer). Wait 10 seconds and trigger another error.

Extension seems stuck / not responding

Open the Command Palette and run Python Error Explainer: Toggle On/Off twice to reset it.

Error in a library (not your code)

If the traceback points to a file inside site-packages (a library), the extension will still explain the error type — but the cause is usually how you called the library function, not the library itself.


Project structure (for developers)

python-error-explainer/
├── src/
│   ├── extension.ts        # Entry point — activates extension, registers commands
│   ├── terminalWatcher.ts  # Intercepts terminal output, orchestrates the pipeline
│   ├── errorParser.ts      # Regex parser — turns raw traceback into structured data
│   ├── ollamaClient.ts     # HTTP client — talks to Ollama API at localhost:11434
│   ├── webviewPanel.ts     # UI — renders HTML explanation panel inside VS Code
│   └── types.ts            # Shared TypeScript interfaces
├── package.json            # Extension manifest and VS Code contribution points
├── tsconfig.json           # TypeScript compiler config
└── README.md

Building from source

git clone https://github.com/panda7ad/python-error-explainer.git
cd python-error-explainer
npm install
npm run compile

To run in development:

  • Press F5 in VS Code to open a new Extension Development Host window
  • Trigger a Python error in that window's terminal to test

To package:

npm install -g @vscode/vsce
vsce package

Philosophy

This extension is intentionally designed with one constraint: it explains, it never fixes.

The explanation panel has no "Apply fix" button. No suggested code. No one-click solution. You get a plain English description of what went wrong and where to look.

This is not a limitation — it is the entire point. The moment you understand an error yourself and fix it, it stops being a mystery. The next time you see it, you'll recognize it immediately. That accumulation of recognized patterns is what coding fluency actually is.


License

MIT

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