Deploy applications and interact with the Truefoundry platform using CLI

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Author: Abhishek Choudhary

Requires: Python <3.13, >=3.8

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Project description

ServiceFoundry

ServiceFoundry is a client library that allows you to containerize and deploy your Machine Learning model (or other services) to a managed Kubernetes Cluster. This also generates a Grafana cluster with complete visibility of your Service Health, System Logs, and Kubernetes Workspace.

It is available both as a command-line-interface and via APIs that allow you to deploy directly from your Jupyter Notebook.

You can access the health of your service, monitoring links and deployed endpoints by logging on to TrueFoundry's dashboard.

Installation

pip install -U servicefoundry

Documentation

https://docs.truefoundry.com/

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Author: Abhishek Choudhary

Requires: Python <3.13, >=3.8

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0.10.11

0.10.10

0.10.9

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0.10.7

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0.10.0 yanked

Reason this release was yanked:

A bug in pydantic import makes it only compatible with pydantic v2

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