Files
OmniRoute/tests/unit/nanogpt-endpoint-surface.test.ts

132 lines
4.3 KiB
TypeScript

import { describe, it } from "node:test";
import assert from "node:assert/strict";
import {
AUDIO_TRANSCRIPTION_PROVIDERS,
AUDIO_SPEECH_PROVIDERS,
getTranscriptionProvider,
getSpeechProvider,
} from "../../open-sse/config/audioRegistry.ts";
import { VIDEO_PROVIDERS, getVideoProvider } from "../../open-sse/config/videoRegistry.ts";
import {
EMBEDDING_PROVIDERS,
getEmbeddingProvider,
} from "../../open-sse/config/embeddingRegistry.ts";
import { REGISTRY } from "../../open-sse/config/providerRegistry.ts";
describe("nanogpt endpoint surface (#9322)", () => {
describe("audio transcription", () => {
it("is registered in AUDIO_TRANSCRIPTION_PROVIDERS", () => {
assert.ok(
AUDIO_TRANSCRIPTION_PROVIDERS.nanogpt,
"nanogpt should be in AUDIO_TRANSCRIPTION_PROVIDERS"
);
});
it("resolves nanogpt transcription config", () => {
const p = getTranscriptionProvider("nanogpt");
assert.ok(p, "getTranscriptionProvider should resolve nanogpt");
assert.equal(p.id, "nanogpt");
assert.equal(p.baseUrl, "https://nano-gpt.com/api/v1/audio/transcriptions");
assert.equal(p.authType, "apikey");
assert.equal(p.authHeader, "bearer");
});
it("has at least one transcription model", () => {
const p = getTranscriptionProvider("nanogpt");
assert.ok(p.models.length >= 1, "Expected >= 1 transcription model");
});
});
describe("audio speech", () => {
it("is registered in AUDIO_SPEECH_PROVIDERS", () => {
assert.ok(
AUDIO_SPEECH_PROVIDERS.nanogpt,
"nanogpt should be in AUDIO_SPEECH_PROVIDERS"
);
});
it("resolves nanogpt speech config", () => {
const p = getSpeechProvider("nanogpt");
assert.ok(p, "getSpeechProvider should resolve nanogpt");
assert.equal(p.id, "nanogpt");
assert.equal(p.baseUrl, "https://nano-gpt.com/api/v1/audio/speech");
assert.equal(p.authType, "apikey");
assert.equal(p.authHeader, "bearer");
});
it("has at least one speech model", () => {
const p = getSpeechProvider("nanogpt");
assert.ok(p.models.length >= 1, "Expected >= 1 speech model");
});
});
describe("video generation", () => {
it("is registered in VIDEO_PROVIDERS", () => {
assert.ok(
VIDEO_PROVIDERS.nanogpt,
"nanogpt should be in VIDEO_PROVIDERS"
);
});
it("resolves nanogpt video config", () => {
const p = getVideoProvider("nanogpt");
assert.ok(p, "getVideoProvider should resolve nanogpt");
assert.equal(p.id, "nanogpt");
assert.equal(p.baseUrl, "https://nano-gpt.com/api/v1/video/generations");
assert.equal(p.authType, "apikey");
assert.equal(p.authHeader, "bearer");
});
it("has at least one video model", () => {
const p = getVideoProvider("nanogpt");
assert.ok(p.models.length >= 1, "Expected >= 1 video model");
});
});
describe("embeddings", () => {
it("is registered in EMBEDDING_PROVIDERS", () => {
assert.ok(
EMBEDDING_PROVIDERS.nanogpt,
"nanogpt should be in EMBEDDING_PROVIDERS"
);
});
it("resolves nanogpt embedding config", () => {
const p = getEmbeddingProvider("nanogpt");
assert.ok(p, "getEmbeddingProvider should resolve nanogpt");
assert.equal(p.id, "nanogpt");
assert.equal(p.baseUrl, "https://nano-gpt.com/v1/embeddings");
assert.equal(p.authType, "apikey");
assert.equal(p.authHeader, "bearer");
});
it("has at least one embedding model", () => {
const p = getEmbeddingProvider("nanogpt");
assert.ok(p.models.length >= 1, "Expected >= 1 embedding model");
});
});
describe("registry entry", () => {
it("has a registry entry with the canonical identity", () => {
const entry = REGISTRY.nanogpt;
assert.ok(entry, "REGISTRY.nanogpt should be defined");
assert.equal(entry.id, "nanogpt");
assert.equal(entry.format, "openai");
assert.equal(entry.executor, "default");
});
it("has responsesBaseUrl for Responses API", () => {
const entry = REGISTRY.nanogpt;
assert.ok(entry, "REGISTRY.nanogpt should be defined");
assert.ok(
entry.responsesBaseUrl,
"nanogpt registry entry should have responsesBaseUrl"
);
assert.equal(
entry.responsesBaseUrl,
"https://nano-gpt.com/api/v1/responses"
);
});
});
});