Smithers
An LLM-powered CLI that simulates job interviews based on your resume.
Example
pipx run smithers-llm [RESUME_PATH] --role=[ROLE]
Installation
With pip:
pip install -g smithers-llm
With pipx (automatically adds smithers to PATH):
pipx install smithers-llm
Please notice that the user is expected to run the model separately as well.
So far the only model supported is Llama3.1
You can easily self-host it with Ollama. After installing it, pull the model and keep it running on the background with the command below:
ollama run llama3.1
Usage
With smithers installed on the current env:
python -m smithers-llm [RESUME_PATH] --role=[ROLE]
With smithers installed globally and defined on PATH:
smithers-llm [RESUME_PATH] --role=[ROLE]
With pipx:
pipx run smithers-llm [RESUME_PATH] --role=[ROLE]
Learnings
- LangChain
- Structured Outputs
- LangGraph
- Human in the Loop
- Checkpointer
- Python packaging with SetupTools and Build
- Differences between project configurations files such as the modern pyproject.toml and the battle-tested setup.py and setup.cfg
- Publishing to PyPI and TestPyPI with Twine
- Creating CLIs with Click
- Handling different kinds of options: parameters and arguments
- Experimenting with Jupyter Notebooks
- Research whether it was worth commiting the notebooks, although they might be reasonable for documentation purposes, they weren't for the way I used them in this project, to scratch the general ideas up right in the beginning
- Self-reflection if RAG was necessary here, the answer I came to was NO. The files are too small.
- Creating a GitHub Pages workflow to publish project to PyPI on pushing tagged commits to GH.
Fun fact
The repo was named after a character from the show "The Simpsons".
Smithers conducts a job interview with Homer on the episode "I Married Marge".
Metadata
Release files for smithers-llm 1.0.10
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 | Actions |
|---|---|---|---|---|
| smithers_llm-1.0.10.tar.gz | 5.5 kB | With provenance | Details for smithers_llm-1.0.10.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| smithers_llm-1.0.10-py3-none-any.whl | Python 3 | none | any | Details for smithers_llm-1.0.10-py3-none-any.whl |
Total release size: 11.2 kB
Release files / smithers_llm-1.0.10.tar.gz
| Download URL | smithers_llm-1.0.10.tar.gz |
|---|---|
| Size | 5.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Yes |
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twine/6.0.1 CPython/3.12.8
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Transparency logRelease files / smithers_llm-1.0.10-py3-none-any.whl
| Download URL | smithers_llm-1.0.10-py3-none-any.whl |
|---|---|
| Size | 5.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.0.1 CPython/3.12.8
|
Provenance
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jan 16, 2025.
Transparency logSecurity for smithers-llm 1.0.10
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Attestation for smithers_llm-1.0.10.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jan 16, 2025.
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