Arklex

What Arklex is

Arklex helps teams validate AI agents by creating scenarios, simulating multi-turn conversations, and evaluating responses. Its open-source ArkSim framework generates synthetic users with distinct profiles, goals, and knowledge levels, helping teams surface problems such as lost context, tool misuse, or policy violations. Seven built-in metrics cover helpfulness, coherence, relevance, faithfulness, verbosity, goal completion, and agent behavior failures; teams can also define reusable custom metrics in plain language. Reviewers can dispute automated scores and add human assessments while retaining the original score, and calibration tracks agreement by metric. Scenarios can be reused to compare agent versions and identify regressions. ArkSim can run in CI pipelines as a quality gate, returning a non-zero result if quality thresholds are missed. The hosted platform provides a UI for connecting agents, running scenarios, and reviewing evaluations without custom testing infrastructure. Connections include Python agent classes, Chat Completions HTTP endpoints, and the A2A protocol. ArkSim is Apache-2.0 licensed; Arklex says the platform can run on customer infrastructure, with private cloud deployment available to enterprise customers.