All reference architectures

AI Operations Platform

Operating LLM applications through one observable production platform

Platform connecting LLM application components to a central operations layer
VALNOX / LABS / 03

Reference architecture overview

A platform combining model routing, prompt versioning, evaluation, caching, tracing, and CI/CD in one operational control plane.

This is not a client case study. It is a Valnox Labs reference architecture created to show production-oriented technical decisions transparently; it does not claim a delivered engagement or verified client outcome.

Data volume, latency targets, access controls, failure cost, and existing systems differ in every implementation. These layers are therefore not a recipe to copy unchanged; they identify the decisions that discovery must measure and validate. A production scope becomes concrete only with representative data, explicit success criteria, and an accountable operational owner.

01

Reference scenario

In this reference scenario, the effect of prompt and model changes on quality, latency, and cost is not visible.

02

Architecture approach

The reference architecture defines a controlled release flow that links each version to datasets, evaluation results, latency, and cost metrics.

03

Example system design

Gateway, registry, evaluation, tracing, caching, guardrails, and deployment are designed around one control layer.

Core system layers

  1. 01

    Data and signal

  2. 02

    Quality control

  3. 03

    Model layer

  4. 04

    Integration

  5. 05

    Monitoring and feedback

Target system qualities

Measurable version comparison

Safer releases and rollback

Application-level cost visibility

VALNOX / PROJECTS

Let’s adapt this architecture to your operation.

We will assess your data sources, user flow, and success criteria to define a practical first production scope.

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Direct email
info@valnox.ai
Location
Bilişim Vadisi, Gebze/Kocaeli, Türkiye
Delivery model
Founder-led, end-to-end