What It Does
PandaProbe is an open-source, developer-focused platform that helps teams build, test, and monitor AI agents more safely.
It gives engineers visibility into how their agents behave in real time, especially when those agents take multiple steps, use tools, or make complex decisions.
Instead of guessing why an AI agent failed or drifted off track, PandaProbe shows exactly what happened step by step, so developers can fix issues before users ever notice them.
Key Features
- Agent Tracing System – Tracks every step an AI agent takes, including tool calls, decisions, and LLM interactions.
- Evaluation Metrics for Agents – Measures how well agents perform across full workflows, not just single responses.
- Behavior Monitoring – Detects performance drops and unusual behavior in production AI systems.
- Regression Detection – Alerts developers when new updates make agents worse or less reliable.
- Framework Integrations – Works with popular tools like LangChain, LangGraph, CrewAI, and more.
- Multi-Model Support – Compatible with providers like OpenAI, Anthropic, Gemini, and others.
- CLI + Developer Tools – Let developers manage tracing and evaluations directly from the terminal.
- Open Source Option – Core platform can be self-hosted with full control and no licensing cost.
- Cloud + Enterprise Plans – Scalable hosted version with advanced support and team features.
Who Is PandaProbe For?
- AI Engineers – Building and deploying multi-step AI agents.
- Startups Working on AI Products – Needing visibility and reliability in production systems.
- ML & LLM Developers – Who want better debugging and evaluation tools for agents.
- DevOps / AI Infra Teams – Monitoring AI performance at scale.
- Enterprises Using AI Agents – Requiring governance, tracking, and reliability checks.
- Open-Source Contributors – Interested in building or self-hosting agent infrastructure tools.
Final Thoughts
PandaProbe is designed to solve a real challenge in modern AI: understanding and controlling complex AI agents once they’re deployed.
Its strength lies in giving developers full transparency into agent behavior, making it easier to test, debug, and improve systems before they fail in production.
If you’re building AI agents that use tools, workflows, or multi-step reasoning, PandaProbe can be a valuable layer for safety, monitoring, and evaluation.
