257 bentoml(1) - Kailash Tool Reference
257.1 bentoml
bentoml - BentoML — model serving and inference-API packaging.
| Layer | OPS |
| Category | o-01-mlops-ml-engineering |
| Safety class | safe |
| Licence | Apache-2.0 |
| Upstream | github.com/bentoml/BentoML |
257.1.1 NAME
bentoml - BentoML — model serving and inference-API packaging.
257.1.2 SYNOPSIS & usage
Derived from the upstream README at generation time; verify against --help where the tool is installed.
# Requires Python≥3.9
pip install -U bentoml
pip install torch transformers # additional dependencies for local run
257.1.3 DESCRIPTION (upstream)
🍱 Build model inference APIs and multi-model serving systems with any open-source or custom AI models. 👉 Join our forum! BentoML is a Python library for building online serving systems optimized for AI apps and model inference. - 🍱 Easily build APIs for Any AI/ML Model. Turn any model inference script into a REST API server with just a few lines of code and standard Python type hints. - 🐳 Docker Containers made simple. No more dependency hell! Manage your environments, dependencies and model versions with a simple config file. BentoML automatically generates Docker images, ensures reproducibility, and simplifies how you deploy to different envi
257.1.4 CONFIGURATION (detected)
Config-surface markers detected in the upstream README (3 matches, e.g. ci.yml, ci.yml). A full config reference page for this tool is queued under the config-page policy — this line is the detection record, not the page.
257.1.5 SEE ALSO
- Category: o-01-mlops-ml-engineering in the category directory (sister tools listed there).
- Configuration reference — files, environment variables, samples.
ref: pin - verified 2026-10-14