LLM Tester

4.70

RATING

48 M+

EXPOSURE

About this tool

Name

LLM Tester

Category

tools

LLM Tester is a cloud-based testing platform built specifically for teams developing LLM-powered chatbots. It enables users to create, manage, and automate realistic conversational tests to ensure chatbot performance, accuracy, and consistency. With support for dynamic prompts, multi-turn dialogues, and detailed evaluations, it helps QA teams and developers simulate real-world interactions and catch issues early in the development cycle. The platform streamlines collaboration and test tracking, making it ideal for product teams, AI developers, and enterprises aiming to deliver reliable and high-quality conversational AI experiences.

Ratings and Reviews

Crucial for Chatbot QA

4.80

LLM Tester has taken our bot testing to the next level. We can now catch bugs in real conversational flows before deployment.

January 30, 2025

Marina Delgado

Makes Testing Scalable

4.70

Before this, our testing process was scattered. Now everything’s in one place with automation and version control.

February 19, 2025

Luther McKinney

Good for Teams but UI Could Improve

4.30

Great for collaborative testing, though the interface can be a bit clunky when managing multiple flows.

March 7, 2025

Anika Johansson

Realistic Simulation is a Game Changer

4.90

The way it replicates actual user conversations is incredibly helpful for identifying subtle response issues.

April 10, 2025

Tariq Hassan

Boosted Our Release Confidence

4.60

We’ve reduced post-deployment issues significantly thanks to LLM Tester’s thorough testing capabilities.

February 28, 2025

Chloe Farnsworth

How to use

Sign up or log in to the LLM Tester platform from your web browser Create a new test project and define your chatbot's conversation flows Choose the LLM model powering your chatbot and configure test settings Run automated or manual conversational tests to simulate user interactions Review detailed test results, performance metrics, and adjust flows as needed

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