LLM based testing tool - AI tools

  • BenchLLM
    BenchLLM The best way to evaluate LLM-powered apps

    BenchLLM is a tool for evaluating LLM-powered applications. It allows users to build test suites, generate quality reports, and choose between automated, interactive, or custom evaluation strategies.

    • Other
  • PromptsLabs
    PromptsLabs A Library of Prompts for Testing LLMs

    PromptsLabs is a community-driven platform providing copy-paste prompts to test the performance of new LLMs. Explore and contribute to a growing collection of prompts.

    • Free
  • Langtail
    Langtail The low-code platform for testing AI apps

    Langtail is a comprehensive testing platform that enables teams to test and debug LLM-powered applications with a spreadsheet-like interface, offering security features and integration with major LLM providers.

    • Freemium
    • From 99$
  • Libretto
    Libretto LLM Monitoring, Testing, and Optimization

    Libretto offers comprehensive LLM monitoring, automated prompt testing, and optimization tools to ensure the reliability and performance of your AI applications.

    • Freemium
    • From 180$
  • Gentrace
    Gentrace Intuitive evals for intelligent applications

    Gentrace is an LLM evaluation platform designed for AI teams to test and automate evaluations of generative AI products and agents. It facilitates collaborative development and ensures high-quality LLM applications.

    • Usage Based
  • GPT–LLM Playground
    GPT–LLM Playground Your Comprehensive Testing Environment for Language Learning Models

    GPT-LLM Playground is a macOS application designed for advanced experimentation and testing with Language Learning Models (LLMs). It offers features like multi-model support, versioning, and custom endpoints.

    • Free
  • promptfoo
    promptfoo Test & secure your LLM apps with open-source LLM testing

    promptfoo is an open-source LLM testing tool designed to help developers secure and evaluate their language model applications, offering features like vulnerability scanning and continuous monitoring.

    • Freemium
  • RoostGPT
    RoostGPT Automated Test Case Generation using LLMs for Reliable Software Development

    RoostGPT is an AI-powered testing co-pilot that automates test case generation, providing 100% test coverage while detecting static vulnerabilities. It leverages Large Language Models to enhance software development efficiency and reliability.

    • Paid
    • From 25000$
  • ModelBench
    ModelBench No-Code LLM Evaluations

    ModelBench enables teams to rapidly deploy AI solutions with no-code LLM evaluations. It allows users to compare over 180 models, design and benchmark prompts, and trace LLM runs, accelerating AI development.

    • Free Trial
    • From 49$
  • Autoblocks
    Autoblocks Improve your LLM Product Accuracy with Expert-Driven Testing & Evaluation

    Autoblocks is a collaborative testing and evaluation platform for LLM-based products that automatically improves through user and expert feedback, offering comprehensive tools for monitoring, debugging, and quality assurance.

    • Freemium
    • From 1750$
  • Inductor
    Inductor Streamline Production-Ready LLM Applications

    Inductor enables developers to rapidly prototype, evaluate, and improve LLM applications, ensuring high-quality app delivery.

    • Freemium
  • Ottic
    Ottic QA for LLM products done right

    Ottic empowers tech and non-technical teams to test LLM applications, ensuring faster product development and enhanced reliability. Streamline your QA process and gain full visibility into your LLM application's behavior.

    • Contact for Pricing
  • Laminar
    Laminar The AI engineering platform for LLM products

    Laminar is an open-source platform that enables developers to trace, evaluate, label, and analyze Large Language Model (LLM) applications with minimal code integration.

    • Freemium
    • From 25$
  • W&B Weave
    W&B Weave A Framework for Developing and Deploying LLM-Based Applications

    Weights & Biases (W&B) Weave is a comprehensive framework designed for tracking, experimenting with, evaluating, deploying, and enhancing LLM-based applications.

    • Other
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