See exactly what your agent did — and why.
Agents fail in ways logs can't explain. PandaProbe captures the full trajectory so you can debug, evaluate, and ship with confidence.
Foundation for Evals
Traces are the raw signal your evals score against. Capture rich agent trajectories so every evaluation has the context it needs to be accurate.
Framework-Native
First-class integrations for LangGraph, Google ADK, Claude Agent SDK, CrewAI and more capture the full agent lifecycle automatically.
Nested Span Hierarchies
Every LLM hop, tool call, and sub-agent handoff is captured as a properly nested span — see the whole decision tree at a glance.
Session-Level Context
Group related traces under a shared session to analyze entire conversations and workflows — not just isolated requests.
Zero-Code Setup
Wrap your LLM client or agent framework once. No manual span creation, no rewrites, no boilerplate to maintain.
Open & Portable
Apache-2.0 and provider-agnostic. Works alongside your existing stack with no vendor lock-in, self-hosted or on Cloud.
Traces, spans, and sessions.
Three primitives capture your agent's entire execution — from a single call to a full conversation.
PandaProbe captures your agent's execution as traces — one per agent run or user request — composed of spans that represent individual steps. Spans nest into parent-child hierarchies so you can see the full decision tree at a glance. Group related traces under a shared session to analyze an agent's full conversation or workflow lifecycle — not just isolated requests.
Span kinds
Pick the level of control you need.
Start with framework-native, automatic tracing — drop down to zero-code wrappers or fully manual decorators when you need to.
Framework Integrations
Automatic end-to-end tracing.
Hook into agent frameworks to trace the full agent lifecycle — LLM calls, tool invocations, sub-agent handoffs, and guardrails — all with properly nested span hierarchies. No manual span creation.
- LangGraph
- LangChain
- DeepAgents
- Google ADK
- Claude Agent SDK
- CrewAI
- OpenAI Agents SDK
Zero-Code Wrappers
Wrap your LLM client once.
Drop a wrapper around your existing LLM client and every API call is automatically traced — no code changes required. Token counts, streaming metrics, TTFT, and error details captured out of the box.
- OpenAI
- Anthropic
- Google Gemini
- Mistral AI
- AWS Bedrock
Manual Decorators
Full control for custom agents.
Use decorators context managers to manually instrument any function — sync or async. Ideal for proprietary agent runtimes or bespoke pipelines where automatic integration isn't available.
- Any Python framework
- Custom runtimes
- Bespoke pipelines
No vendor lock-in.
Drop PandaProbe into your existing stack. It works alongside your current agent framework and LLM provider — no rewrites, no migrations.
LLM Providers
Instrument your first agent in minutes.
Install the PandaProbe skill and let your coding agents do the rest.
Install the skill
Run it in your terminal, or hand the onboarding prompt to your coding agent.
Watch your agent wire it up
Your agent installs the SDK + CLI and instruments your code — no manual setup.
Frequently asked questions
Everything you need to know about tracing your agents with PandaProbe.