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PandaProbe
$29/mStarting price
129Monthly visits
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About PandaProbe
PandaProbe is an open source agent engineering platform for teams running production AI agents. It combines tracing, evaluation, and monitoring so developers can capture full trajectories, score behavior with research-based metrics, and catch regressions before users notice them, across both hosted cloud and free self-hosted deployments. Key Features: Full-Agent Tracing: Captures every tool call, LLM hop, and branch so evals score complete trajectories. Research-Grounded Evals: Offers long-horizon uncertainty metrics and LLM-as-judge scoring to pinpoint where agents drift. Production Monitoring: Schedules eval runs on production traffic and alerts when metrics regress across versions. Agent-Native Workflow and Integrations: Ships a Skill file, CLI, and Python SDK that tie coding agents into major LLM providers. PandaProbe pairs long-horizon, research-based agent metrics with an Apache-licensed open source core and an agent-controllable Skill and CLI for running evals. This combination targets long-running, tool-using agents while giving teams full control over where the observability stack runs. Teams that care about full agent trajectories and production reliability gain the most from PandaProbe. Engineering-heavy groups can turn its tracing, evals, and alerts into a control loop for drift management.
Key features
- Full-Agent Tracing
- Research-Grounded Evals
- Production Monitoring
- Agent-Native Workflow and Integrations
- Open Source Core
- Self-Hosted Option
Use cases
- Agent platform engineers: Instrument multi-step agents to capture tool usage, branching, and session context for reliability.
- AI application developers: Use trajectory-level traces and scores to refine prompts, tools, and control flow.
- MLOps and observability teams: Schedule evals on production traffic and track metrics and alerts for regressions.
Pros
- Captures full agent trajectories including tool calls, LLM hops, and decision branches for accurate evaluation
- Provides research-grounded evaluation metrics designed for long-running, tool-using agents
- Supports both cloud-hosted and self-hosted deployments with zero agent latency overhead
- Offers structured evals, monitoring, and self-healing capabilities to detect and address regressions proactively
- Includes a Python SDK, CLI, and Skill file for seamless integration with major agent frameworks and LLM providers
Cons
- May require technical expertise to fully configure and customize for specific agent workflows
- Self-hosted option demands infrastructure management and maintenance responsibilities
- Free tier has limited trace ingestion and evaluation runs, which may constrain usage for larger projects
Frequently asked questions about PandaProbe
What is PandaProbe?
PandaProbe is an open-source agent engineering platform designed for teams running production AI agents. It provides tracing, evaluation, and monitoring capabilities to capture full agent trajectories, score behavior with research-based metrics, and detect regressions before users notice them.
What does PandaProbe help me with?
PandaProbe helps teams ship agents safely by detecting agent uncertainty over long trajectories, diagnosing reliability problems, and proving fixes before deployment. It supports structured evaluations, production monitoring, and self-healing regressions.
Can I use just tracing without the other features?
Yes, PandaProbe allows one-line instrumentation for tracing, which captures full agent trajectories including tool calls, LLM hops, and decision branches. This tracing foundation can be used independently or alongside evaluation and monitoring features.
What deployment options exist?
PandaProbe offers two deployment options: PandaProbe Cloud, where the platform is hosted by the company, and self-hosted deployments, where teams host the platform themselves. Both options support the full feature set.
Is self-hosting actually free?
Yes, self-hosting PandaProbe is free and open-source under the Apache 2.0 license. All core platform features and APIs are available without limitations when self-hosted.
What frameworks are supported?
PandaProbe supports major agent frameworks such as LangGraph, LangChain, DeepAgents, CrewAI, Google ADK, Claude Agent SDK, and OpenAI Agents SDK. It also integrates with leading LLM providers like OpenAI, Gemini, Anthropic, Mistral AI, and AWS Bedrock.
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