MULTI-PROVIDER LLM INFRASTRUCTURE
Control cost.
Protect quality.
A policy-driven gateway that routes requests across AI providers, enforces response quality and records the financial outcome of every decision.
- 146
- automated tests passing locally
- 1,000
- requests in local load proof
- 40
- simulated concurrent users
- 2
- HTTP replicas in Docker proof
01 / SYSTEM
One control path across the LLM stack
The gateway keeps provider choice, budget enforcement, quality checks and audit evidence inside one operational boundary.
Model selection by policy
Economy, balanced and premium paths with explicit fallback behavior.
Atomic budget control
Worst-case reservations precede provider calls and settle against measured cost.
Candidate verification
Answers can be approved, retried or replaced before delivery.
Scoped access and metrics
Credential hashing, rotation, revocation, RBAC and tenant-isolated reporting.
Distributed coordination
Cross-replica idempotency, rate limits and loop detection use shared Redis state.
Observable by default
Health probes, structured events, Prometheus metrics, alerts and Grafana dashboards.
02 / EVIDENCE
Validated locally. Boundaries disclosed.
The current package includes repeatable tests and operational scripts. External multi-host validation remains the next infrastructure milestone.
$ run distributed validation
STATUS APPROVED
CROSS_REPLICA_IDEMPOTENCY TRUE
ATOMIC_BUDGET_RESERVATIONS 5
API_FAILOVER PASSED
POSTGRES_RECOVERY PASSED
AUTOMATED_TESTS 146 / 146Concurrent budget admissions, cross-replica idempotency, API failover, backup restoration and provider contract normalization.
Docker Compose, Kubernetes Deployment, Service, probes, PDB, HPA, security context and observability manifests.
No production revenue, external Kubernetes proof, multi-host HA or managed PostgreSQL/Redis failover is represented as completed.
03 / ACQUISITION
An engineering asset ready for the next operator
The acquisition scope is structured for technical due diligence and handover without exposing proprietary implementation publicly.
Gateway, routing engine, Quality Gate, provider adapters, tenancy controls and management interface.
PostgreSQL storage, Redis coordination, Docker topology and Kubernetes manifests.
Unit, integration, concurrency, resilience, fuzz, protocol, UI and deployment tests.
Metrics, dashboards, alert rules, backup validation, recovery scripts and security documentation.
Architecture walkthrough, configuration guidance and a defined handover period.
Detailed code and sensitive mechanisms are shared only during qualified due diligence.
AI CONTROL PLANE
Built to turn LLM usage into an accountable system.
Available as a pre-revenue software acquisition through the marketplace listing.