Openlayer is a platform that tests AI systems before release, monitors them in production, and enforces policy and compliance requirements across every model and agent your company runs.
Openlayer is a platform that tests AI systems before release, monitors them in production, and enforces policy and compliance requirements across every model and agent your company runs.
AI test library and custom evals
Dozens of pre-built evaluations cover quality, safety, security, and performance, with LLM-as-a-judge scorers, session-level metrics, and support for writing your own custom tests against your own data.
CI/CD regression testing
Import a repository and run evaluation suites automatically on every change, benchmark each iteration, and block releases when a metric regresses beyond the threshold you define.
Observability, tracing, and cost analytics
Trace every request through multi-step agent workflows, including tool calls and retriever steps, with token counts, latency, cost per request, alerting integrations, and subpopulation analysis.
Governance registry and lifecycle gates
Register each AI system with an owner, purpose, data sensitivity, and risk tier, score inherent risk across multiple dimensions, and move systems through staged approval gates before they reach production.
優勢與優點
+Covers the full loop from pre-release testing to production monitoring and governance in one platform
+Strong compliance and risk-mapping capability built for regulated industries
常見問題：Openlayer 與 VS Code
Openlayer 每月有 48,415 次造訪，而 VS Code 有 7,397,370。流量估算反映受眾規模，並非產品品質。
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