Documentation Index
Fetch the complete documentation index at: https://docs.arkor.ai/llms.txt
Use this file to discover all available pages before exploring further.
Deployments
A deployment publishes a trained adapter (or a base model) at a dedicated subdomain (https://<slug>.arkor.app/v1/chat/completions) that speaks the OpenAI Chat Completions wire format. Point any OpenAI-compatible client (the official openai SDK, LangChain, etc.) at it and it just works.
CloudApiClient is the typed entry point for managing these deployments programmatically — creating them, rotating API keys, deleting them — from a Node.js script or your own server. The Studio dashboard (Endpoints) covers the common create / toggle / key-management actions interactively; the SDK is the lower-level surface those tools sit on top of, and it’s what you reach for when:
- CI / IaC: provision deployments alongside your other infra. A trained job’s
finaladapter goes from “saved checkpoint” to “live URL” in one script step. - Custom dashboards: embed deployment management in your own admin UI.
- Bulk operations: script revoking + re-issuing keys across many deployments after an incident.
- SDK-only operations: re-targeting an existing deployment to a different job / checkpoint, configuring non-default run retention, etc. — Studio doesn’t surface these today.
defaultArkorCloudApiUrl(credentials) keeps the client targeting the same staging / self-hosted control plane the user authenticated against — anonymous credentials carry that URL since signup, OAuth credentials since arkor login. The plaintext API key is also returned only on creation; subsequent listDeploymentKeys() calls return the label and a display prefix only.
Reference
For the full method list, request / response shapes, thetarget discriminated union, run-retention configuration, error codes, and the public-vs-internal export contract, see the CloudApiClient reference.