LLM eval & testing toolkit
GitHub Action for evaluating MCP server tool calls using LLM-based scoring
Test your LLM-powered apps with a TypeScript-native, Vitest-based eval runner. No API key required.
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Harness-backed AI testing on top of Vitest.
Much like tests in traditional software, evals are an important part of bringing LLM applications to production. The goal of this package is to help provide a starting point for you to write evals for your LLM applications, from which you can write more c
Offline evaluation framework for Output.ai workflows
A library for running evaluations for AI use cases
Universal library for evaluating AI models
Effect v4 native AI coding agent CLI
Harness AI Evals Service APIs integrated with react hooks
Command line interface for building Titanium SDK apps
CLI entry point for AgentV
Sortable lists for Ember.js.
TI Country List
Harness React TI service client - TI APIs integrated with react hooks
Usage, cost, and response telemetry primitives for Agent Assistant
retext plugin to implement SmartyPants
Design System oficial del Tecnológico de Monterrey - Descubre cómo nuestro Design System no solo da forma a la estética, sino que también impulsa la consistencia en cada rincón de nuestro diseño, proporcionando una base sólida para construir experiencias
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Axiom AI SDK provides - an API to wrap your AI calls with observability instrumentation. - offline evals - online evals
Modern rewrite of http-proxy
Runtime library to validate data against TypeScript interfaces
Ink-based evaluation console for m4trix