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Description

SDKs and toolkits

Tools and libraries to integrate Patronus AI into your workflow

Patronus Python SDK

Build reliable AI applications with tools for LLM observability, evaluation, and experimentation. Define custom evaluators and run comprehensive experiments directly in your Python applications.

API Client Libraries

These libraries provide convenient access to the Patronus REST API from your preferred programming language.

Python API Library

Access the Patronus API REST API from any Python 3.8+ application with type definitions for all request params and response fields. Includes both synchronous and asynchronous clients powered by httpx for easy integration with proper error handling and type safety.

Node.js API Library

Access the Patronus API REST API from server-side TypeScript or JavaScript. Features complete TypeScript typings and promise-based methods for streamlined integration with Node.js applications to implement monitoring, evaluation, and experimentation.

Other Tools

Patronus MCP Server

An MCP (Model Context Protocol) server for the Patronus SDK that standardizes LLM system optimizations, evaluations, and experiments.

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