OBSERVABILITY + EVALUATION + EVIDENCE + FINOPS

Operate agent systems through measurable quality, reliability and cost.

Projera connects runtime telemetry, evaluation, official evidence, capacity envelopes and FinOps signals without collapsing them into one dashboard metric. Technical traces support operations while durable evidence supports accountability and commercial reconciliation.

Operational metrics are telemetry; official decision and action evidence has a separate authority boundary.

5runtime operating states
100%target durable audit and financial trace for required events
0target duplicate billing events

LIVE OPERATIONS

Observe queues, executions, models, tools, retrieval and policies as one correlated system.

The operating model tracks request rate, latency, errors, saturation, queue age, retries, model usage, retrieval health, tool outcomes, guardrail decisions, approvals, backup state and cost signals under common release and environment context.

Request and operation telemetry
Queue and worker health
Model and token signals
Retrieval and graph health
Tool outcome state
Policy and guardrail events

EVALUATION

Quality evidence stays tied to dataset, evaluator, package, model and profile.

Evaluation is a first-class platform capability. Product claims and releases reference versioned datasets, evaluators and profile-specific results so a successful test cannot be generalized across an untested model, connector or deployment boundary.

Versioned datasets
Evaluator versions
Package and model binding
Profile-specific results
Negative scenarios
Regression comparison

OFFICIAL EVIDENCE

Dashboards explain operations while evidence records prove controlled actions.

Metrics, logs and traces remain operational telemetry. Required decisions, approvals, external effects and financial events produce durable evidence with correlation, retention and redaction rules that can survive telemetry loss.

Durable evidence authority
Approval correlation
External-effect evidence
Financial trace
Redaction
Retention

FINOPS + CAPACITY

Cost is evaluated alongside success, latency, saturation and capacity headroom.

Validated capacity envelopes record workload mix, concurrency, throughput, latency, saturation, cost and headroom. Forecast, actual and variance remain separate signals, allowing product and platform teams to optimize cost per successful outcome without weakening security invariants.

Cost per successful task
Forecast versus actual
Capacity envelopes
Tenant fairness
Budget and quota
Anomaly signals