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For the complete documentation index, see llms.txt. This page is also available as Markdown.

Overview

Reference hub for the ZenML and Kitaru SDKs and CLIs.

ZenML and Kitaru each provide SDKs for working with their APIs:

  • ZenML provides a Python SDK and CLI for building, managing, and deploying production-ready ML pipelines.

  • Kitaru provides Python and TypeScript SDKs for recording, replaying, and improving AI agents. Its CLI ships with the Python package.

ZenML SDK

The ZenML SDK provides Python tools and interfaces for building, managing, and deploying production-ready machine learning pipelines. This documentation helps you get the most out of ZenML's features.

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SDK Documentation

Complete API documentation for all ZenML modules, classes, and functions.

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CLI Methods

Command-line tools for managing ZenML pipelines, stacks, and deployments.

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ZenML Client

Python client for interacting with ZenML projects, repositories, and services.

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Integrations

Connect ZenML with popular ML tools, orchestrators, and cloud services.

Kitaru SDK

Kitaru is ZenML's sibling project for recording, replaying, and improving AI agents: traces you can run, not just read. Its Python and TypeScript SDKs talk to the same Kitaru server over the same REST API. Framework adapters support Python and TypeScript agents. The generated Python SDK and CLI reference is published on a dedicated site.

Python SDK & CLI Reference

Complete generated API reference for the Kitaru Python SDK and command-line interface.

Python & TypeScript SDK Guide

How both SDKs connect, authenticate, expose resources, and hand work to Kitaru workers.

Python Client

Programmatic interface to a Kitaru server: sessions, replays, evaluators, cohorts, and experiments.

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