EVALARA ARCHITECTURE

A control plane that sits across the AI delivery path—not inside one model stack.

Evalara connects execution evidence, evaluation, release decisions, and production economics while preserving the customer’s existing models, frameworks, gateways, and engineering workflow.

Trace Explorerproduction / tr_08fa71 200 OK
Resolve invoice exceptionrelease 2026.07.24 · prompt support-v18
gpt-5.62,841 tokens$0.0312.41s
Execution spans5 spans
agent.run
2.41s
retrieve.policy
184ms
model.reason
1.36s
tool.customer_record
421ms
model.response
386ms
model.reasonScore 0.91
system

Apply the current billing policy. Use tools only when the customer record is required.

Modelgpt-5.6
Promptsupport-v18
Input1,984 tok
Output312 tok
Groundedness0.91
Policy adherence0.78
FOUR ARCHITECTURE LAYERS

Make the boundary as inspectable as the model.

The architecture is agreed around one production workflow before the dedicated workspace is opened.

STACK INDEPENDENCE

Keep the release standard even when the stack changes.

Model providers, prompts, retrieval systems, agent frameworks, evaluators, and delivery infrastructure can evolve without breaking the decision history.

FIT EVALARA TO YOUR STACK

Map the control plane around the system you already operate.

The assessment defines the instrumentation surface, evidence plane, security boundary, and operating responsibilities for one production workflow.

Map the architecture