Agent Platform
AI Agent Observability & Operations
Application monitoring tells you a system is running. Agent observability shows what the agent actually did — every model call, tool call, handoff and guardrail.
- 01RUNAn agent run starts.
- 02MODELModel calls are traced.
- 03TOOL.CALLTool calls and results are traced.
- 04HANDOFFHandoffs and guardrails are traced.
- 05METRICSCost, latency and errors are recorded.
- 06INSIGHTFailures surface for analysis.
What it is
The fundamental operational question is: what did the agent do, why did it do it, and where did it fail?
Agent runtimes treat model calls, tool calls, handoffs, guardrails and custom workflow spans as observable parts of a single run. We instrument all of it, and we observe the entire workflow, not only the final answer.
When you need it
- SIGNAL 01An agent failed in production and nobody can reconstruct what it did.
- SIGNAL 02Token spend is rising and you cannot attribute it to a task or customer.
- SIGNAL 03Users report wrong answers you cannot reproduce.
- SIGNAL 04You have logs, but no view of a single agent run end to end.
What we build
The engineering.
- 01
Agent and workflow traces
One trace per run, from the first model call to the final action.
- 02
Model, tool and retrieval traces
Spans for every model call, tool call and retrieval step.
- 03
Handoff and guardrail traces
Which agent took over, and which guardrail fired.
- 04
Cost and token usage
Spend attributed to the task, the agent and the customer.
- 05
Success rate and human intervention
How often the agent completes the work, and how often a person steps in.
- 06
Failure analysis
Failures grouped, explained and fed back into evaluation.
How it works
One run, end to end.
- 01
RUN
An agent run starts.
- 02
MODEL
Model calls are traced.
- 03
TOOL.CALL
Tool calls and results are traced.
- 04
HANDOFF
Handoffs and guardrails are traced.
- 05
METRICS
Cost, latency and errors are recorded.
- 06
INSIGHT
Failures surface for analysis.
What it integrates with
Chosen for the workload and your environment — not a preferred provider.
- OpenTelemetry
- Trace stores
- Metrics
- Logs
- Dashboards
- Alerting
In production
Production is part of development.
Evaluation, security, deployment and operations begin before release — on this service as on every other.
EVAL
How we test it
- Production evaluation on traced runs.
- Failure patterns turned into regression cases.
POLICY
How we secure it
- Sensitive data handled deliberately in traces and logs.
- Guardrail and policy events visible alongside the run.
RUNTIME
How we deploy it
- Instrumentation shipped with the agent, not added after an incident.
- Tracing that works in private and self-hosted environments.
TRACE
How we operate it
- Token usage, latency, errors, retries and cost per task.
- Agent success rate, human intervention and failure analysis.
What you receive
Engineering outputs, not a deck.
We do not hand over a prototype and leave production engineering to you.
- 01End-to-end tracing across models, tools, handoffs and guardrails
- 02Dashboards for success rate, cost, latency and errors
- 03Alerts on the failures that matter
- 04Cost attribution per task, agent and customer
- 05A failure-analysis loop into evaluation
- 06Runbooks for investigating an agent run