Unified model routing and spend control workspace

Reduce integration and provider-management effort while keeping model traffic, keys and spend under the buyer's control. For engineering teams and platform owners routing production AI traffic across several model providers, convert provider accounts, application keys, routing rules and budget limits into a reviewed gateway configuration with measured routing and spend reports. The benefit is a testable hypothesis, measured through requests served per provider incident and cost per accepted response; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect provider accounts, application keys, routing rules and budget limits, then follow this sequence: 1. Register provider accounts and bring-your-own keys. 2. Expose one OpenAI-compatible endpoint. 3. Route requests by cost, speed or task rules. Resolve uncertain cases with qualified reviewers, approve reviewed gateway configuration with measured routing and spend reports, and measure requests served per provider incident and cost per accepted response against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One self-hosted deployment and one approved provider set; final routing policy and spend decisions remain engineering. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve key security, source attribution, routing accuracy and usage permissions. Engineering owners approve substantive changes and deployment scope. One self-hosted deployment and one approved provider set; final routing policy and spend decisions remain engineering. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One self-hosted deployment and one approved provider set; final routing policy and spend decisions remain engineering. Implement one approved input format, a bounded representative case set and the first two task modules: register provider accounts and bring-your-own keys; expose one OpenAI-compatible endpoint. Support the third module with operator review: route requests by cost, speed or task rules. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Provider APIs, application code repositories, observability tools and billing systems. Cloud or on-premise deployment, log export and alerting destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Provider and key registry, Routing and policy editor, Live traffic and spend dashboard. Use a provider list with health and latency, a central rule editor for routing, fallback and caps, and a right-hand panel for request logs, evaluations and comments. Let users compare routing policies side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant policy. Make the task-specific outcome reviewed gateway configuration with measured routing and spend reports visible beside its evidence, review state and value baseline.