PandaProbe

PandaProbe is an open-source observability platform for AI agents, built specifically to trace, evaluate, and monitor LLM workflows from local development to global production. As the artificial intelligence landscape transitions from simple chatbots to fully autonomous multi-agent systems, traditional software logging falls completely short. Standard monitoring tools simply cannot capture the unpredictable nature of large language models. This platform fills that critical infrastructure gap by providing an enterprise-grade suite of tools to debug complex AI agents. The core differentiator in the AI infrastructure market is a pioneering approach to Agentic Application Performance Monitoring or Agentic APM. By offering native integrations with industry standard frameworks like LangGraph, CrewAI, and the Claude Agent SDK, developers can see exactly why an autonomous agent made a specific decision. Engineering teams can track performance bottlenecks, calculate exact token costs per individual execution step, and measure latency trends across live production data. This level of execution tracing catches behavioral drift before it impacts your end users. Data privacy and deployment flexibility serve as the foundation of the platform architecture. PandaProbe is available as a fully self-hosted open-source core for platform teams dealing with strict compliance and regulatory requirements. A fully managed cloud solution also exists for startups needing rapid scaling without infrastructure overhead. Development teams can evaluate live sessions using custom agent-specific metrics and schedule recurring evaluations that act as automated quality assurance tests. This ensures your agents do not degrade when underlying foundational models receive silent updates from API providers. For product managers and developers attempting to transition from a local AI demo to a highly reliable software product, comprehensive visibility is a foundational requirement. The platform empowers AI engineers to ship robust agents with complete confidence. It provides the deep analytics required to troubleshoot hallucinations, optimize API expenditures, and deliver seamless autonomous experiences at scale.