Machina-Sciens
A Machina that knows.
In order to launch it from the command line or as a Python subprocess:
echo "Theodotos-Alexandreus: Are language models seeking the Truth, machine?" \
| uvx machina-sciens \
--provider-api-key=sk-proj-... \
--github-token=ghp_...
Or, with a local pip installation:
pip install machina-sciens
Set the environment variables:
export PROVIDER_API_KEY="sk-proj-..."
export GITHUB_TOKEN="ghp_..."
Then:
machina-sciens multilogue.txt
Or:
machina-sciens multilogue.txt > output.txt
Or:
machina-sciens multilogue.txt > tmp && mv tmp multilogue.txt
Or:
cat multilogue.txt new_turn.txt | machina-sciens
Or:
cat multilogue.txt new_turn.txt | machina-sciens > tmp && mv tmp multilogue.txt
Or:
(cat multilogue.txt; echo:"Theodotos: What do you think, Machina-Sciens?") \
| machina-sciens
Or:
cat multilogue.txt new_turn.txt | machina-sciens > tmp && mv tmp multilogue.txt
Or, if you have installed other machines:
cat multilogue.md | machina-sciens \
| summarizing-machine | judging-machine > summary_judgment.md
Or use it in your Python code:
# Python
import machina_sciens
2 maintainers
Metadata
2 maintainers
Release files for machina-sciens 0.0.2
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 | |
|---|---|---|---|---|
| machina_sciens-0.0.2.tar.gz | 21.6 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| machina_sciens-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 49.1 kB
Release files / machina_sciens-0.0.2.tar.gz
| Download URL | machina_sciens-0.0.2.tar.gz |
|---|---|
| Size | 21.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
1de0ca53f69d9ffa9ac84c2c477fd0426786cc79846043a1565c00f031825a79
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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
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Signed by GitHub Actions, verified by PyPI on Jul 10, 2026.
Transparency logRelease files / machina_sciens-0.0.2-py3-none-any.whl
| Download URL | machina_sciens-0.0.2-py3-none-any.whl |
|---|---|
| Size | 27.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d2df60523c1f4f258c6053863749806f9b2f045968162805e699aae5cdb0aba2
|
|
BLAKE2b-256 checksum How to use checksums |
5b6395e2abc47ebb5a708709851be9d1265f0b1259a4f2e0126cc047b08b36c9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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 Jul 10, 2026.
Transparency logSecurity for machina-sciens 0.0.2
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.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for machina_sciens-0.0.2.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 Jul 10, 2026.
Transparency logA 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.
