See your agent's mind at work
Monitor your AI agents, debug faster, and observe at scale. Gain complete visibility into your AI agents to track decisions, catch failures early, and refine agent behavior with precision.
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Track every decision, action, and outcome as your AI agent navigates through complex workflows. Understand exactly how your agent thinks and identify optimization opportunities.
Mass Simulation Workflow Trajectory (3 Sessions):
Restaurant Booking Workflow (Collect Preferences → Book Restaurant → Pay For Reservation)
Interactive Example Workflow Trajectory
Click any step to jump to that point in the workflow and click the background to zoom back out. Hover over edges to see which states are transitioned to.
Real-time Agent Trajectory Mapping
Watch your AI agents navigate through decision trees, API calls, and logic branches. Each node represents a key decision point, with full visibility into the agent's reasoning process.
Seamlessly integrate with LLMs, frameworks, and tools. Support for OpenAI, Anthropic, Google, and open-source models out of the box.
OpenAI
LLM
Anthropic
LLM
Google Gemini
LLM
LangChain
Framework
Pydantic
Framework
OpenTelemetry
Framework
Python
Language
Features
Build, test, and deploy reliable AI agents with our comprehensive toolkit designed to provide complete visibility and control over your agent workflows.
Monitor agents in production with real-time alerts
Have a particular part in your workflow messing your agent up? Jump directly to that step and re-run it until it works with our time travel.
Use our default evaluation rubric, create your own rubrics, or pass in your own evaluations. Create specific evaluations for CAPTCHAs, billing pages, booking websites or whatever else you need.
Host prompts with versioning, labeling, and environment support. Edit, save, and pull latest versions without touching code.
Step-by-step run analysis with quick stats and failure insights. Iterate faster for more reliable agents.
Analyze large-scale agent runs. Identify failure patterns and improve reliability at scale. Run your agent hundreds of times and never worry about reliability again.
State-by-state analysis of what your agent is doing at scale. See efficiently grouped representations of your runs in as much detail as you want.