generated: '2026-07-21'
method: searched
source: https://docs.tenyks.ai/docs/installation.md, https://docs.tenyks.ai/docs/commands.md
description: >-
  The Tenyks CLI command surface — a Python package (pip install tenyks-cli)
  that sits over the Tenyks API for creating and managing datasets & models,
  converting annotations/predictions, and uploading images and embeddings.
  Captured verbatim from the CLI usage output published in the docs. The CLI
  package itself is catalogued in packages/tenyks-packages.yml. The CLI requires
  Python >= 3.7 and (currently) a paid plan; Sandbox support is on the roadmap.
docs: https://docs.tenyks.ai/docs/installation.md
install:
  pip: pip install tenyks-cli
binary: tenyks
commands:
  auth_config:
    - {name: configure, description: Configure the Tenyks CLI with your credentials.}
    - {name: configure-aws, description: Configure AWS credentials for connecting S3 data sources.}
  datasets:
    - {name: dataset-create, description: Create a new dataset.}
    - {name: dataset-images-upload, description: Upload images to a dataset.}
    - {name: dataset-annotations-upload, description: Upload annotations to a dataset.}
    - {name: dataset-class-names-upload, description: Upload category/class names for a dataset.}
  models_predictions:
    - {name: model-create, description: Create a model for a dataset.}
    - {name: model-predictions-upload, description: Upload model predictions.}
  conversion:
    - {name: convert-annotations, description: Convert annotations into a Tenyks-supported format.}
    - {name: convert-predictions, description: Convert predictions into a Tenyks-supported format.}
  embeddings:
    - {name: image-embedding-upload, description: Upload custom image-level embeddings.}
    - {name: annotation-bbox-embedding-upload, description: Upload custom bounding-box embeddings for annotations.}
    - {name: prediction-bbox-embedding-upload, description: Upload custom bounding-box embeddings for predictions.}