OBSERVABILITY

See every step. Trust every release.

Trace every agent decision, evaluate quality at every stage, and monitor production behavior - with the visibility enterprise deployments require.

Trace Everything

Trace every decision, not just the final output.

See immutable traces of prompts, agents, tool calls, branching paths, retries, and model responses across the full execution path.

Performance Metrics

Avg latency, cost per run, tool call time, steps taken, context utilization, prompt and completion token counts - all at a glance.

Deep run inspection

Click any run to see the full conversation trace - inputs, outputs, tool calls, timestamps, and which version ran it.

Filter and export

Filter by status, user, or date range. Download your entire run history for offline analysis, compliance audits, or reporting.

Run History - Support Agent Pro Last 7 days

• 1.2s AVG LATENCY
• $0.004 AVG COST
• 4.1 STEPS/RUN
• 68% CONTEXT USE

1. How do I reset my password? Completed 0.9s
2. Refund request - order #84221 Completed 1.4s
3. Account upgrade help (escalated) Escalated 2.1s
4. How many licenses do I have left? Completed 0.7s
5. Billing statement for March 2026 Completed 1.1s

From trace to eval. Without leaving the platform.

Move from a problematic run directly into testing, scoring, and analysis instead of stitching together separate tools.

Pre-deployment testing

Run test suites, simulations, and red-team scenarios before release to validate behavior under expected and adversarial conditions.

Post-deployment evaluation

Score live outputs, detect regressions, and monitor changes in quality as prompts, models, and workflows evolve.

Faster quality loops

Turn production traces into structured evaluation workflows so teams can improve prompts, agents, and orchestration with evidence.

Don't just monitor production. Understand it.

Track how quality, reliability, latency, throughput, and spend change across runs, workflows, and releases.

Metrics that matter

Monitor throughput, latency, token usage, model performance, completion quality, and workflow reliability from one operational view.

Cost visibility

Attribute spend across agents, workflows, model calls, and execution paths so optimization is tied to actual system behavior.

Insights and anomalies

Detect unusual execution patterns, rising failure rates, quality regressions, and cost spikes before they become systemic issues.

Test before release. Catch regressions after.

Validate expected behavior before launch and detect quality drops after changes land.

Structured test suites

Evaluate workflows against fixed datasets and expected outcomes before promoting changes to production.

Scenario simulation

Exercise edge cases, failure paths, unsafe prompts, and tool dependency issues under controlled conditions.

Regression detection

Catch quality drops introduced by model changes, prompt edits, workflow updates, or orchestration logic shifts.

Auditability built for enterprise operations.

Maintain immutable records of runs, changes, and execution history with the visibility needed for governance and review.

Immutable Audit Log

Retention: 90 days Tamper-proof

Immutable audit logs

Maintain durable records of execution history, configuration changes, release events, and operational activity.

Policy-aware visibility

Track behavior in a way that supports internal controls, governance reviews, and enterprise oversight requirements.

Operational accountability

Give teams a defensible record of what ran, what changed, how it behaved, and what outcomes it produced.

Built into the workflow that runs your agents.

Observability is native to the system that builds, orchestrates, deploys, and governs agents - not bolted on after the fact.

01 Richer trace context

Capture visibility from the orchestration runtime itself, including multi-step logic, delegated execution, and runtime state transitions.

02 Fewer tool handoffs

Trace, evaluate, monitor, and govern in one connected system rather than stitching together separate observability and quality tools.

03 Better operations

Keep debugging, release confidence, cost visibility, and auditability aligned to the same execution layer that runs the work.

Visibility for agents that actually ship.

Trace execution, test quality, monitor production behavior, and maintain audit-grade visibility in one enterprise-native workflow.