Gateway
Provider-specific inference is isolated behind a model-agnostic generation contract.
A local-first control loop around LLM applications: route requests, version prompts, retrieve context, evaluate outputs, measure operations and gate releases.
The problem
Prompt, retrieval and model changes are software changes. The control plane turns them into versioned, testable and observable lifecycle artifacts.
Verified capabilities
These capability descriptions are intentionally limited to the evidence-backed implementation surface.
Provider-specific inference is isolated behind a model-agnostic generation contract.
Prompts are versioned assets rather than hidden application strings.
A transparent local retrieval baseline keeps context selection inspectable.
Golden datasets and thresholds can gate releases.
Request count, latency, estimated cost and evaluation status are exposed.
Docker Compose and Kubernetes examples connect quality checks to deployment workflows.
Architecture
The diagram below represents the current verified architecture boundary; planned or environment-dependent components are described in the engineering notes rather than silently promoted.
Local deterministic operation supports repeatable evaluation.
Engineering deep dive
Technology names matter less than the engineering contracts they enforce.
Local deterministic operation supports repeatable evaluation.
Golden evaluation data makes output quality a release signal.
Request IDs, latency, token estimates, cost estimates and evaluation status are explicit.
Production security hardening remains environment-specific and is not claimed as certification.
Project status
Implemented local-first reference control plane with API, evaluation, telemetry, infrastructure examples and CI.
Public implementation — source and documentation are available.