A good multi-model API stabilizes authentication, request identity, common text semantics, errors, jobs, usage, and policy while exposing capability differences explicitly. It should prevent provider churn from leaking into product code without claiming every model behaves the same.
The INFRO view: INFRO is a multi-model API and control plane designed around a stable application boundary with explicit modality lifecycles.
Define the stable contract
Keep auth, project context, model identifiers, request IDs, timeout and cancellation behavior, common errors, usage fields, and metadata consistent. For text, an OpenAI-compatible surface reduces client work and supports existing SDKs.
Version incompatible changes and document provider-specific escape hatches. Silent semantic drift is worse than an explicit extension.
Make capabilities discoverable
A catalog should expose modality, context limits, tool and structured-output support, job lifecycle, input types, pricing units, and current availability. The application or router can then reject impossible requests before paying provider latency.
Treat capability support as tested behavior, not a marketing label.
Separate synchronous and asynchronous work
Streaming text and long-running video have different durability needs. Use a common job envelope for asynchronous work: create, status, cancel, result, signed webhook, usage, and error. Preserve direct streaming where it improves the experience.
Idempotency and stable job IDs matter because networks fail while expensive work continues.
Keep routing and observation below the contract
Applications should express required capability and preferred model; infrastructure can apply health, cost, and fallback policy. Every decision should be traceable and the final usage should reconcile to one ledger.
This boundary lets model policy evolve faster than application releases.
Where INFRO fits
OpenAI-compatible text, asynchronous media jobs, one supported-model catalog, routing, request traces, and unified billing give applications a consistent platform without erasing meaningful model differences.
Explore the API docs, models, and quickstart. Confirm each required capability against current INFRO documentation and private early-access availability.
Frequently asked questions
What is a multi-model API?
It is one application interface for accessing multiple AI models or providers with shared authentication, errors, usage, and policy.
Should a multi-model API hide every provider difference?
No. It should normalize the stable common surface and expose real capability or lifecycle differences clearly.
Which parts does INFRO standardize?
INFRO standardizes supported model access, identity, request context, control, observability, and billing, with an OpenAI-compatible text API and documented media jobs.
