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See why your agents decided what they did

Real-time tracing for multi-agent systems. Capture decision trees, LLM reasoning, and state transitions—not guesses.

Built for ML engineers designed with DevOps teams exploring production-grade reliability Early access
Request early access

See why your agents decided what they did

Real-time tracing for multi-agent systems. Capture decision trees, LLM reasoning, and state transitions—not guesses.

Request early access

The problem: Silent failures in production

When an LLM-powered agent makes an unexpected decision or a workflow fails, your logs tell you what happened. AgentTrace shows you why—and where to fix it.

  • Non-deterministic behavior you can't reproduce locally
  • Tool calls that should have fired but didn't
  • Cascading failures across multi-step workflows
  • Prompt variations that silently degrade quality

What AgentTrace captures

Decision trees

Follow every branch your agent considered and why it chose one path over another.

LLM semantics

Full prompt/response pairs with token counts, temperature settings, and model state—designed for debugging reasoning, not just latency.

Tool execution context

See which tools were called, in what order, with what arguments, and how results fed back into agent reasoning.

State transitions

Track memory, context windows, and agent state changes across multi-step workflows.

Automatic anomaly detection

Flag unusual decision patterns or execution paths before they become production incidents.

Semantic explanation layer

Purpose-built for agents—not a generic APM bolted onto LLM systems.

Built for your stack

AgentTrace integrates with LangChain, LlamaIndex, AutoGen, and custom agent frameworks. Start tracing in minutes, not weeks.

See integration examples

How it works

  1. Deploy the collector: Lightweight agent-side instrumentation captures decision context.
  2. Stream traces in real-time: See what your agents are doing as it happens.
  3. Query and debug: Search by agent ID, decision type, or anomaly flag. Drill into any trace.
  4. Alert on patterns: Set thresholds for unusual behavior and get notified before users do.

Pricing

Pay for what you trace: agents monitored + events per month. Scale from prototype to production without surprise bills.

  • Starter: Up to 5 agents, 1M events/month
  • Professional: Up to 50 agents, 50M events/month; custom alerts; 90-day retention
  • Enterprise: Unlimited agents; custom retention; dedicated support
Explore pricing

FAQ

How is this different from generic APM tools?

Generic APM tools measure latency and errors. AgentTrace captures semantic decision context: why an LLM chose a tool, what it was reasoning about, how state flowed through the system. We're built for the unique debugging needs of multi-agent systems.

What's the performance overhead?

We're designing AgentTrace to add minimal latency to agent execution. Collector is non-blocking; traces are batched and sent asynchronously. We'll share benchmarks closer to launch.

Can I use this with my existing monitoring stack?

Yes. AgentTrace is purpose-built for agents and complements tools like DataDog, New Relic, or Prometheus. We're exploring integrations with major observability platforms.

What about data retention and compliance?

We're designing with SOC 2 and HIPAA in mind. Premium tiers include configurable retention policies and encryption at rest. Enterprise customers can explore on-premise or VPC deployment options.

Do you support open-source agent frameworks?

Yes. We're building integrations for LangChain, LlamaIndex, AutoGen, and others. We also provide a low-level SDK for custom frameworks.

Join the early access program

We're onboarding teams now. Tell us about your agent system, and let's explore how AgentTrace can help you ship with confidence.

Request early access