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Model Lifecycle SDK

The unpinned installation commands in this guide install the latest stable sstudio package. This documentation and msp-operations 0.4.1 were verified against sstudio 0.0.6; check the installed version before relying on a documented operation.

Choose a maintained path below, verify each result in the Console, and open the detailed task page when you need exact fields, commands, or troubleshooting.

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SDK Overview

The sstudio packages provide matching Python, TypeScript, and CLI interfaces for supported model lifecycle operations. Configure the Console URL and an API key once, then use typed resources or script-friendly commands.

Documentation 2.0 · SDK package 0.0.6

What You Can Do

  • Install the supported package for Python or Node.js.
  • Authenticate without embedding credentials in source code.
  • List models, clusters, jobs, and deployments.
  • Upload models and datasets with end-to-end helpers.
  • Create and wait for deployments, training jobs, or evaluations.
  • Use equivalent SDK and CLI operations across both languages.

Who This Is For

Application developers integrating model operations · Platform teams automating repeatable workflows · Operators using JSON or YAML output in scripts

Choose Your Path

02

Use an SDK

Integrate model lifecycle operations into an application or service.

  1. Initialize client
  2. Choose resource
  3. Call method
  4. Handle errors
  5. Close client

Result: Application code can call supported resources with consistent return values.

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03

Use the CLI

Run repeatable operations from a shell or automation job.

  1. Install command
  2. Login
  3. Choose output
  4. Run command
  5. Check status

Result: Commands return human-readable tables or machine-readable JSON and YAML.

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Before You Start

  • The absolute Console URL for your environment.
  • An API key created for your user.
  • Python 3.8+ or Node.js 18+.
  • Permission to access the resources used by your workflow.

Core Journey

1Choose Python or TypeScript2Set Console URL3Set API key4Create client5Verify identity

Expected Result

You can authenticate once and use the same supported model lifecycle capabilities from Python, TypeScript, or the command line.

Recommended Next Step

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