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This release is a pre-release and may not be stable for production use.

llmdbg

llmdbg is an early-stage debugger for stepping through language-model layers and presenting human-readable interpretations of internal vectors. It speaks the Debug Adapter Protocol so editor integrations can use a standard debugger UI.

The current prototype includes real GPT-2 Small loading, layer-state capture, logit-lens interpretations, and a VS Code debug extension. A deterministic built-in trace remains available when no model is configured.

pip install --pre llmdbg
llmdbg --version

VS Code prototype

Build and install the extension:

cd vscode-extension
npm install
npm run package
code --install-extension llmdbg-0.0.1.vsix

Open the repository in VS Code, select llmdbg: Demo model in Run and Debug, and press F5. On first use, the extension creates a private Python environment in VS Code's extension storage. It does not install anything into the workspace. Use Step Over to advance one layer at a time.

For GPT-2 Small, add "model": "openai-community/gpt2" and a prompt to the launch configuration. The first run downloads the model into the normal Hugging Face cache.

License

MIT

Metadata

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