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Protégé is one OpenAI-compatible endpoint. There is no second API to learn: every workload goes through chat completions, and one extra field on the request body says which workload it is. You point your SDK at it and keep your existing code.
That one field is task: a stable label for the piece of work the call belongs to, like invoice_extraction or ticket_triage. Protégé is a managed API. Every model runs on our capacity, so there are no provider accounts to connect and no upstream keys to pass through: one key, one bill.

Why the label matters

Most inference bills are not one workload, they are dozens of them sharing an API key. A single agent turn might classify an intent, pull three fields out of a document, draft a reply and check it. Billed together, those look like one expensive line item. Billed by task, most of them turn out to be small, bounded and repetitive, and priced for reasoning they no longer need. task is what separates them. Once calls arrive labelled:

Routing

Each task gets sent to the cheapest model that clears its eval, not to whatever model the codebase happens to name.

Measurement

Cost, latency and quality are reported per task, so you can see which workloads are worth optimizing before anyone touches a model.

Failures

The calls that went wrong are tracked per task and scored by a judge, so you learn what to fix rather than just that the average moved.

Task-specific models

Traces and failures accumulate per task, so a task that stays expensive becomes a candidate for a specialist model trained on its own work.

Drop-in by design

The request and response bodies are the OpenAI chat completions shapes. If your code already speaks to OpenAI, Anthropic through a compatible layer, or any gateway, the change is a base URL, a key, and task.
The OpenAI SDKs strip fields they do not recognise. Use extra_body in Python and cast the object in TypeScript, as shown above. See Migrating for the details per SDK.

Next

Quickstart

First labelled call in about five minutes.

Chat completions

Full parameter reference, including task.