agentrial

Agentrial is a system designed to help developers understand how reliable their AI agents are. Instead of just showing a single good result, Agentrial runs tests many times to give a clear picture of performance. This helps avoid situations where an AI agent seems to work well once but fails often when used more.

Benefits

Agentrial provides strong statistical backing for its results. It uses methods like Wilson confidence intervals to show how likely an agent is to succeed and bootstrap resampling to measure costs and speed. When tests fail, Agentrial pinpoints the exact step causing the problem, like saying "Step 2 tool selection is the issue." It also tracks the real cost by looking at token usage from API responses, offering a cost per correct answer. Agentrial can even detect if a new version of an agent performs worse than an older one, stopping problematic updates. It calculates an Agent Reliability Score, a number from 0 to 100, that combines accuracy, consistency, cost, speed, and other factors. For agents already in use, Agentrial can monitor them to catch changes in performance or cost over time.

Use Cases

Agentrial can be used to test AI agents built with various frameworks like LangGraph, CrewAI, and AutoGen. It supports writing tests using simple YAML files or a Python programming language. Developers can integrate Agentrial into their code update process, like when they submit changes or request to merge code, to automatically check for problems. It can also be used to monitor AI agents already running in production to make sure they continue to perform well.

Vibes

Compared to other tools, Agentrial is highlighted for its free, multi-trial evaluations that include confidence intervals. It offers detailed failure analysis, works with many different agent frameworks, and provides a cost per correct answer metric. Its ability to use AI to judge responses, a combined reliability score, security checks, and production monitoring are also noted as key advantages, all while keeping data private by running locally.

Additional Information

Agentrial operates entirely on a user's computer, meaning no accounts or data are sent elsewhere, ensuring privacy. It supports over 45 AI models from different providers and can be integrated into CI/CD pipelines for automated testing.