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
Release files for llmdbg 0.0.3a2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| llmdbg-0.0.3a2.tar.gz | 29.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llmdbg-0.0.3a2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 40.9 kB
Release files / llmdbg-0.0.3a2.tar.gz
| Download URL | llmdbg-0.0.3a2.tar.gz |
|---|---|
| Size | 29.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / llmdbg-0.0.3a2-py3-none-any.whl
| Download URL | llmdbg-0.0.3a2-py3-none-any.whl |
|---|---|
| Size | 11.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.12.3
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Security for llmdbg 0.0.3a2
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