Hue

Turn your users' requests into repeatable tests for your agent, with realistic tools and a

Hue is a testing platform for AI agents that turns real user requests into repeatable tests. It recreates the context and data from an original request, then reruns the task in a stateful environment that behaves like production, with simulated APIs and MCPs matching real ones including edge cases. Each run gets its own persistent world that retains changes and can be reset or customized.

Core features include Observability for tracing real requests, model calls, and tool activity; Eval Suggestions that identify tasks worth replaying from real usage and coverage gaps; Agent Replays for rerunning tasks in stateful environments with simulated tools; and Evaluations for scoring reruns and comparing performance across agent versions. Integration is supported through a language-agnostic SDK and OpenTelemetry-compatible OTLP traces, with framework spans recognized in their existing conventions. Keys are scoped per project and organization.

Hue is aimed at developers building and maintaining agents. It offers a free plan and a contact-based path for teams, with SOC 2 Type II, ISO 27001, and HIPAA compliance noted for security requirements.

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