Multi-Agent Observability

Your agents work together.
Now you can see how.

DeepTrace is distributed tracing built for multi-agent AI systems. See how your agents reason, collaborate, and fail across complex workflows. Not just LLM calls. The full picture.

Trace: order-processing-workflow Live
Orchestrator
1.8s
Retriever
540ms
Validator
380ms
Executor
620ms
The Problem

Observability tools weren't built for this.

Current tools trace individual LLM calls. But modern AI runs on agent networks: orchestrators delegating to specialists, validators checking work, executors acting on decisions. When something breaks, you need to see the whole system.

Without DeepTrace
  • Isolated LLM call logs with no context
  • "Which agent caused this hallucination?"
  • Blind spots in inter-agent communication
  • Hours of manual log correlation
With DeepTrace
  • Full trace across every agent in the workflow
  • Pinpoint exactly where reasoning broke down
  • See every handoff, tool call, and decision
  • Root cause in seconds, not hours
Capabilities

Built for the agent era.

Every feature designed around how multi-agent systems actually work in production.

Agent Graph Tracing

Visualize the full topology of your agent network. See delegation chains, parallel execution, and inter-agent dependencies in real time.

Reasoning Replay

Step through any agent's decision chain. Understand not just what happened, but why each agent made the choices it did at every fork.

Failure Propagation

When one agent fails, trace the blast radius. See which downstream agents were affected and how errors cascaded through the system.

The agents are getting smarter.
Your observability should keep up.

DeepTrace is the infrastructure layer that turns opaque multi-agent systems into systems you can trust, debug, and scale.