Sudomimus Documentation
Authentication, detached from authorization.
Or — hand it to your AI
Section titled “Or — hand it to your AI”Paste this prompt into Claude, Cursor, ChatGPT, or any AI tool with web access:
Read https://docs.sudomimus.com/llms-full.txt and integrate Sudomimusauthentication into my application.
Stack: <your stack, e.g. Next.js 14 + Drizzle + Postgres>Auth methods: <e.g. passkeys + email OTP>Application anchor: your-applicationCallback URL: <your callback URL>The English documentation is published in a machine-readable form — your AI can read it and write the integration in one shot. See Build with AI for the endpoints and tool-specific tips. When the assistant needs to operate Sudomimus directly, give it the Sudomimus CLI as a shell-friendly control surface.
What’s in these docs
Section titled “What’s in these docs”- Getting Started — what Sudomimus is and how to choose an integration path.
- AI Integration — machine-readable documentation and the CLI for assistants and automation.
- Concepts — accounts, organizations, pairwise identity, claim sharing, and token verification.
- Application Rules — the three-layer allowlist model that decides which auth methods, which identities, and which return paths your application accepts.
- Connect / OIDC / Device / Native — four separate, peer integration paths with their own protocol flows.
- Common Operations — session management and account deletion.
- With Portal — manage organizations, applications, sign-in methods, and access keys.
- Domains & Federation — adopt domains, set login policy, and connect an identity provider.
- User-generated Content — avatar uploads, review, and delivery to applications.
- SDKs - official SDK packages by language, plus the API reference for exact product API wire contracts.
- Brand Resources — approved marks, sign-in button guidance, motion rules, social cards, and application icon standards.
These docs are also available as raw Markdown for AI agents: append .md to any page URL (for example, /en-us/connect/three-key-model.md), or fetch /llms.txt and /llms-full.txt for the English corpus. Chinese pages are available through their own .md URLs.