Skip to main content

Learning machine.

Project description

Machina-Sciens

Learning machine.

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 -a multilogue.txt

Or:

machina-sciens multilogue.txt > response.txt

Or:

machina-sciens -a multilogue.txt > tmp && echo tmp > multilogue.txt

Or use it in your Python code:

# Python
import machina_sciens

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

machina_sciens-0.0.1.tar.gz (15.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

machina_sciens-0.0.1-py3-none-any.whl (22.0 kB view details)

Uploaded Python 3

File details

Details for the file machina_sciens-0.0.1.tar.gz.

File metadata

  • Download URL: machina_sciens-0.0.1.tar.gz
  • Upload date:
  • Size: 15.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for machina_sciens-0.0.1.tar.gz
Algorithm Hash digest
SHA256 fc71fed138b71af83694d43da51a87f6b29d10cc0e747e055b250d4b6ce9c798
MD5 187414bf4b53550de2bd0869fb849b4c
BLAKE2b-256 0cdce6b43a149f00a05ce7c7dd884150a9d9c776c5baf4134661d43d6da207ea

See more details on using hashes here.

Provenance

The following attestation bundles were made for machina_sciens-0.0.1.tar.gz:

Publisher: python-publish.yml on machina-sciens/machina-sciens

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file machina_sciens-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: machina_sciens-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 22.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for machina_sciens-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 15e4f51e42133fb2a940271c0865ee4d57945897bf820aadb1b24b4752dd2a64
MD5 5a61019a5be3b18397f721cd2b443f30
BLAKE2b-256 255493b84f27397d3b59e274525c200b8883271adfd826350eb7f370f5858b88

See more details on using hashes here.

Provenance

The following attestation bundles were made for machina_sciens-0.0.1-py3-none-any.whl:

Publisher: python-publish.yml on machina-sciens/machina-sciens

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page