logo
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.

Observability tracing dashboard
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 ProLast 7 days
1.2s
AVG LATENCY
$0.004
AVG COST
4.1
STEPS/RUN
68%
CONTEXT USE
How do I reset my password?
Completed0.9s
Refund request - order #84221
Completed1.4s
Account upgrade help (escalated)
Escalated2.1s
How many licenses do I have left?
Completed0.7s
Billing statement for March 2026
Completed1.1s
Trace → Eval

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.
Observability tracing dashboard
Production Visibility

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.
Production monitoring dashboard
Ship With Confidence

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.
Enterprise Oversight

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 daysTamper-proof
TIMESTAMPACTORACTIONOUTCOMETAGS
2026-03-31 09:14:02agent/summarizer-v2workflow.executedsuccessprodv2.4
2026-03-31 09:14:03systemeval.scoredpassfaithfulness: 0.93
2026-03-31 09:14:11admin/wei.chenprompt.updatedcommittedagent: classifier
2026-03-31 09:15:44agent/classifier-v1workflow.executedflaggedreview
2026-03-31 09:16:02admin/priya.rpolicy.appliedenforcedPII-block
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.
Native Visibility

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.

Trusted by Industry Leaders

FAQ

Frequently Asked Questions

Everything you need to know about SimplAI Observability.

SimplAI Observability is a tracing, evaluation, and monitoring platform built specifically for enterprise AI agents. It allows teams to trace every decision in an agent's execution — not just the final output — giving full visibility into step-by-step runs, multi-agent workflows, cost, and latency, so teams can trust every release they ship to production.
Get latest insights on Agentic AI