AI Infrastructure · Spire Digi Solution

Enterprise AI Gateway & Model Router

One control plane for every LLM call in the org — routing, cost, reliability and security in one place.

Delivered at: Spire Digi Solution
Role: Lead architect — routing model, data model, API contracts and delivery blueprint.

The problem

Applications often hard-code a single model and provider, which makes cost control, reliability, security and provider migration painful the moment something changes upstream. This gateway sits in front of every model call so routing, budgets and failover are handled once, centrally, instead of duplicated — or forgotten — in every application.

Business Context

Applications hard-coding a single model and provider made cost control, reliability and provider migration painful the moment anything changed upstream. Spire Digi Solution needed routing, budgets and failover handled once, centrally, instead of duplicated — or forgotten — in every application that called a model directly.

Architecture

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Enterprise AI Gateway & Model RouterProduction architecture — request flows top → bottom; security & observability span every layerClientslayer 1Client SDK / REST APIAdmin consoleEdge & networklayer 2WAF & DDoS shieldL7 filtering · bot controlAPI gatewayrouting · versioningRate limits & quotasper tenant / per keymTLS · TLS 1.3encrypted in transitIdentity & accesslayer 3OIDC / OAuth2SSO · short-lived tokensRBAC + ABACleast privilegeTenant isolationdata · vectors · toolsSecrets → Vaultno static credentialsAI security & guardrailslayer 4focusNeMo Guardrailstopical & safety railsInjection / jailbreak filterinput inspectionPII & secret redactioninbound & outboundPolicy engine · OPAallow / deny decisionsOutput validationgrounding · citationsGateway & routing corelayer 5Request normalizerprovider-agnostic schemaRoutercost · latency · quality awareProvider adaptersOpenAI · Claude · Gemini · OllamaFallback chainsauto on degrade / failureResponse validationschema · safety · PIIUsage & cost accountingper tenant · per keyExecution & toolslayer 6Semantic cachededupe + reuseQuota & budget enforcementrate limits · token capsData-policy filteregress controlModel layerlayer 7Hosted providers · normalizedSelf-hosted · vLLM / TritonEmbeddings + rerankHealth & degradation probesData & statelayer 8PostgreSQLpgvector / QdrantRedis cacheObject storageImmutable audit logcross-cutting — applied across every layer aboveSECURITY & COMPLIANCE · CROSS-CUTTINGSIEM & threat detectionruntime alertsSupply-chain scanningTrivy · Semgrep · GitleaksSBOM & image signingprovenanceAdversarial mappingOWASP LLM Top 10 · MITRE ATLASComplianceEU AI Act · ISO 42001 · NIST AI RMFOBSERVABILITY & OPS · CROSS-CUTTINGOpenTelemetry tracesprompts · steps · toolsMetricsPrometheus / GrafanaEvaluation & regression gatesblock bad releases in CICost & latency analyticsper tenant / routeAlerting & on-callSLOs · error budgetsCI/CD · IaCKubernetes · GitOpsTEN ARCHITECTURE PILLARS · REVIEWED END TO ENDScalabilitySecurityAI Security / GuardrailsReliability & ResilienceObservabilityGovernanceCost OptimizationData & RAG SecurityPerformanceMaintainability / DevSecOpsLegendSecurityGovernance / accessOrchestrationData / modelProcessing / executionObservability / storageOne control plane in front of every LLM call — routing, budgets, failover and policy handled once, centrally, instead of in every application.

Key capabilities

Cost-, latency- and quality-aware routing across hosted and open-source models

Per-tenant quotas, rate limits and token budgets

Automatic fallback chains when a provider degrades or fails

Response caching and PII / data-policy enforcement at the gateway

Live cost and latency dashboards with a full request audit trail

Security & Risk

A single hard-coded model integration is also a single point of failure and a single point of vendor lock-in. Centralizing every model call behind one gateway means security policy, budgets and failover are enforced once, consistently — not duplicated, drifted or forgotten in some application nobody remembers to update.

Outcome

One control plane where routing, cost and reliability decisions are made centrally, so a provider outage or price change is a configuration update, not an incident.

Challenges

Cost-, latency- and quality-aware routing across both hosted and open-source models had to make a routing decision per request cheaply enough not to become its own latency problem, while still enforcing per-tenant quotas, rate limits and token budgets, and falling back automatically the moment a provider degraded or failed.

Lessons Learned

Centralizing every model call behind one gateway turns a provider outage or price change into a configuration update instead of an incident. The value isn't only cost savings — it's that security policy and failover logic get enforced consistently, instead of drifting across applications nobody remembers to update.

Architecture pillars

Designed and reviewed against all ten — see how I evaluate every architecture.

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ScalabilitySecurityAI Security / GuardrailsReliability & ResilienceObservabilityGovernanceCost OptimizationData & RAG SecurityPerformanceMaintainability / DevSecOps

Technology

PythonFastAPIReactTypeScriptPostgreSQLRedisOpenAI / Claude / Gemini / Ollama adaptersOpenTelemetryDockerKubernetes

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