PandaProbe
PandaProbe is an open-source platform built to help developers understand, monitor, and improve AI agent systems across both development and production environments. As AI agents become more complex and autonomous, debugging and evaluating their behavior becomes increasingly difficult. PandaProbe focuses on making that process observable and measurable.
The platform provides structured observability for agent workflows, allowing developers to trace how decisions are made step by step. Instead of treating an agent as a black box, PandaProbe exposes the internal reasoning paths, tool calls, and intermediate outputs that lead to final results.
In addition to tracing, it supports evaluation and monitoring capabilities that help teams assess performance over time. This includes identifying failures, unexpected behaviors, or inefficiencies in agent execution, making it easier to iterate on prompts, tools, and system design.
PandaProbe is designed to fit into both development and production environments. During development, it helps debug agent behavior in real time. In production, it enables ongoing monitoring to ensure agents continue to behave as expected as usage scales.
As an open-source project, PandaProbe can be self-hosted and integrated into existing AI stacks, giving teams full control over their observability pipeline. It is particularly useful for teams building production-grade AI agents that rely on multiple tools, reasoning steps, or external integrations.
Overall, PandaProbe positions itself as a foundational layer for AI agent engineering, focusing on visibility, debugging, and continuous improvement of autonomous systems.