Recommending-Machine
A machine that recommends solutions.
In order to launch it from the command line or as a Python subprocess:
echo "Theodotos-Alexandreus: What do you recommend, machine?" \
| uvx recommending-machine \
--provider-api-key sk-proj-... \
--github-token ghp_...
Or, with a local pip installation:
pip install recommending-machine
Set the environment variables:
export PROVIDER_API_KEY="sk-proj-..."
export GITHUB_TOKEN="ghp_..."
Then:
recommending-machine -a multilogue.txt
Or:
recommending-machine multilogue.txt > response.txt
Or:
recommending-machine -a multilogue.txt > tmp && echo tmp > multilogue.txt
Or use it in your Python code:
# Python
import recommending_machine
2 maintainers
Metadata
2 maintainers
Release files for recommending-machine 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| recommending_machine-0.0.1.tar.gz | 18.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| recommending_machine-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 47.7 kB
Release files / recommending_machine-0.0.1.tar.gz
| Download URL | recommending_machine-0.0.1.tar.gz |
|---|---|
| Size | 18.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-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/7.0.0 CPython/3.13.14
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Transparency logRelease files / recommending_machine-0.0.1-py3-none-any.whl
| Download URL | recommending_machine-0.0.1-py3-none-any.whl |
|---|---|
| Size | 29.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
d692e8e21d6a7de3e45b088cbd7dd54bd65853bd8b273ea23c5ef0d8b9093fd2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
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 Oct 1, 2026.
Transparency log
