Introduction
Add Ando as the inference provider behind your app.
The Developer section is for app builders. Build the app harness first: the interface, prompts, tools, settings, and runtime that make your product useful. Then add Ando as the inference provider so each user can bring their own Ando connection and spend boundary.
Ando is the model access layer behind your harness. Your app keeps the product experience. The user's Ando account keeps the inference credential, model access, usage trail, and spend controls.
The user owns the inference boundary. Add Ando like any OpenAI-compatible provider, but treat the key as a user-owned connection, not an app-wide secret.
How the integration fits
Your product surface, prompt flow, tools, memory, streaming UI, retries, and user settings.
A server-side provider adapter that sends OpenAI-compatible requests to https://inference.andoai.xyz/v1.
The user's Ando connection and Virtual Key. Usage and spend stay attached to that user's Ando account.
The user supplies their own Ando inference access instead of relying on your app to own model billing.
Builder path
Design the provider interface your app will use before any model call.
02Ando ProviderAdd Ando as the OpenAI-compatible provider behind that harness.
03User Inference KeysLet users connect their own Ando account and rotate credentials cleanly.
04ErrorsMap API failures to clear app states before you ship.
Minimum provider settings
These are the fields most app builders need in their provider registry or settings screen.
Ando
OpenAI-compatible
The user's Ando Virtual Key, sent as Authorization: Bearer <key>.
GET /v1/models with the user's key.
POST /v1/chat/completions with OpenAI-compatible messages.
Product rules
- Keep the Ando Virtual Key server-side for hosted apps.
- Validate the key with
GET /v1/modelsbefore saving the provider as ready. - Store only an encrypted secret reference and a redacted preview in normal app data.
- Let users remove, replace, or retest their Ando connection without contacting support.
- Set explicit output limits for every request so cost and latency stay predictable.
- Show errors as connection, budget, rate limit, or temporary provider states.
The result should feel simple to the user: choose Ando, paste their Virtual Key, test the connection, and continue using the app with their own inference.