PandaProbe
PandaProbe is an open-source agent engineering platform that empowers developers to build, debug, and scale AI agents with confidence. It provides comprehensive observability through automatic tracing, evaluation frameworks, and real-time monitoring—all designed to eliminate the black-box problem in agent development.
Product Highlights
- Auto-Instrumentation: One
instrument() call captures complete agent execution flows with zero manual configuration
- Universal Compatibility: Native integrations with LangGraph, LangChain, CrewAI, Google ADK, Claude SDK, OpenAI Agents SDK, and all major LLM providers
- Production-Grade Monitoring: Live dashboards for traces, token usage, latency metrics, and session-level performance tracking
- Open Source Freedom: Apache 2.0 licensed with self-hosting options—no vendor lock-in, full data control
- Scalable Architecture: Built for enterprise workloads with pay-as-you-go pricing and unlimited self-hosted capacity
Use Cases
- Agent Debugging: Diagnose complex multi-step agent failures with full execution traces, tool call sequences, and LLM interaction logs
- Performance Optimization: Identify latency bottlenecks, token waste, and suboptimal routing decisions through detailed span analysis
- Evaluation & Testing: Run systematic evals on agent outputs with custom metrics, human annotation workflows, and regression detection
- Production Monitoring: Maintain SLA compliance with real-time alerting, session replay, and drift detection across deployed agents
Target Audience
PandaProbe serves AI engineers, ML platform teams, and startups building production-grade agent systems who need enterprise observability without sacrificing flexibility or incurring prohibitive costs.