Hue

Founded 2024

Turn real user requests into repeatable test suites for testing autonomous agents

Pricing model

Demo

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Hue to build reliable AI agents by converting real user requests into repeatable tests. It captures live traces, model calls, and tool interactions, then recreates them inside stateful sandboxed environments with simulated APIs and Model Context Protocols. Hue automatically identifies test cases from production traffic, replays complex user tasks, and scores your agent against edge cases. By comparing performance across different model versions and prompt iterations before shipping, engineering teams ensure their autonomous agents execute production tasks consistently without unexpected regressions.

What Hue does

Replay past user requests in isolated test sandboxesSimulate external API responses for agent testingTrace model completions and tool invocationsTrack agent success rates across code commitsIdentify test coverage gaps from production usage logsExport and ingest execution traces using OpenTelemetry standardsConverts live production user requests into deterministic test casesSimulates production APIs and Model Context Protocol servers for edge case testingProvides isolated, stateful sandboxes that preserve data changes across runsCaptures full execution traces across model calls and third-party toolsSuggests new evaluations based on production traffic and coverage gapsReplays multi-step agent tasks in identical test environmentsScores agent accuracy and compares performance over multiple model releasesIntegrates with existing telemetry via standard OpenTelemetry protocols