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
1 maintainer
Metadata
1 maintainer
Release files for llmdbg 0.0.3a1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| llmdbg-0.0.3a1.tar.gz | 28.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llmdbg-0.0.3a1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 39.1 kB
Release files / llmdbg-0.0.3a1.tar.gz
| Download URL | llmdbg-0.0.3a1.tar.gz |
|---|---|
| Size | 28.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
62fede2b6155a880d8fd4f2acf26e751848ba31159aeeedd2a86e13bd24b00e8
|
|
BLAKE2b-256 checksum How to use checksums |
0a7075ad670f5de5284141ec147931545cef922b22a06608880e2d6be453bda6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.3
|
Release files / llmdbg-0.0.3a1-py3-none-any.whl
| Download URL | llmdbg-0.0.3a1-py3-none-any.whl |
|---|---|
| Size | 10.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
bec66e83703b55d517662199e9a477b4a40403cd0f74aa738b160757e7afa044
|
|
BLAKE2b-256 checksum How to use checksums |
8716b00d1919fb42a20802076ed9ee43a435f30181a4b81fb4c90d6de7f033c5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.3
|
Security for llmdbg 0.0.3a1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
