Not just the final answer

Nothing an agent does happens off the record.

Every run, skill activation, tool call, structured-data access, log, output, error, and retry — traced the same way from local development to production.

Agent acts
↓
Event logged
↓
Trace assembled
↓
Reviewable anytime

Agent execution is not request and response.

Agents call tools, activate skills, read and write structured data, and create side effects. The path between input and output matters — not just the final answer.

Traditional app logs
→ request, error, response
Agent traces
→ skills, tools, structured data, results

Every run becomes an inspectable timeline.

Every run captures the full execution path — what happened, when, and why.

•
run state
•
deployment version
•
runner/environment
•
model calls
•
skill activations
•
tool calls and results
•
structured-data access
•
spend per run
•
approvals
•
logs and errors
•
final output
run trace timeline
run.started
agent.loop.start
skill.activated: refund-policy
retrieval.call: support-docs
tool.call: search_orders
tool.result
step.blocked: refund_payment
step.completed
run.completed

Debug failures without guessing.

An agent fails. Here's everything that led there — the deployment, runner, inputs, selected skills, structured-data access, tool arguments, tool results, logs, and the error path that produced it.

Failure
↓
Inspect trace
↓
Review tool args
↓
Compare deployment
↓
Fix and rebuild
↓
Promote fix

Connect behavior back to versions and policy.

Every trace connects to the deployment version, runtime configuration, skills, structured-data scopes, and budget that produced it.

compare behavior across versions
review sensitive actions
audit tool and structured-data usage
inspect approvals
track spend per run
understand dev/staging/production differences

Nothing about a run stays a mystery.

Step-by-step visibility

Inspect the full execution path, not only the final answer.

Faster debugging

Find failing tools, missing context, policy blocks, and runtime errors.

Tool accountability

See which tools were called, with what arguments, and what they returned.

Skill and knowledge insight

Understand which skills and context influenced the run.

Replay and audit

Review behavior, reproduce failures, and connect outcomes to deployment versions.

Understand what your agents actually did.

Request access and help shape observability for production agents.

Request access