PandaProbe Cloud launches a fully managed agent engineering platform to simplify full-stack tracing, evaluation, and monitoring for AI agents with zero infrastructure overhead

Managed agent observability and evaluation are crucial for transitioning AI agents from development to production, and PandaProbe Cloud addresses this by eliminating the operational overhead of self-hosting trace databases and evaluation LLMs.

• –Zero-ops tracing: Teams can integrate agent logs in minutes using simple SDK integrations with zero backend infrastructure to manage.
• –Managed evaluation LLM-as-judge: Offers built-in evaluation and embedding models, avoiding the need for configuring external LLM API keys for quality scoring.
• –Production-ready monitoring: Scheduled evaluations via custom cron jobs allow continuous tracking of agent health in production.
• –Hybrid flexibility: Built on top of the open-source PandaProbe platform, giving teams an easy migration path to self-hosting if security or scale requirements change.