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6207875492
Integrated into release/v3.8.23. Vertex dynamic model discovery — surfaces image models (imagen-*, gemini-*-image), embeddings and audio from the live Generative Language catalog, with cached→static fallback and the shared parseGeminiModelsList helper. Validated: parser test 5/5, typecheck:core clean.
87 lines
3.3 KiB
TypeScript
87 lines
3.3 KiB
TypeScript
import test from "node:test";
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import assert from "node:assert/strict";
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import { parseGeminiModelsList } from "../../src/lib/providerModels/geminiModelsParser";
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// A representative slice of the live generativelanguage v1beta/models response — including the
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// image models (gemini-*-image via generateContent, imagen-* via predict) that the Vertex catalog
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// must surface dynamically.
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const SAMPLE = {
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models: [
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{
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name: "models/gemini-2.5-flash",
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displayName: "Gemini 2.5 Flash",
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inputTokenLimit: 1048576,
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outputTokenLimit: 65536,
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supportedGenerationMethods: ["generateContent", "countTokens", "batchGenerateContent"],
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thinking: true,
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},
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{
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name: "models/gemini-3-pro-image-preview",
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displayName: "Gemini 3 Pro Image Preview",
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supportedGenerationMethods: ["generateContent", "countTokens"],
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},
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{
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name: "models/imagen-4.0-generate-001",
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displayName: "Imagen 4.0",
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supportedGenerationMethods: ["predict"],
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},
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{
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name: "models/text-embedding-004",
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displayName: "Text Embedding 004",
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supportedGenerationMethods: ["embedContent"],
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},
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{
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name: "models/gemini-live-2.5-flash",
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displayName: "Gemini Live",
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supportedGenerationMethods: ["bidiGenerateContent"],
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},
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],
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};
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test("parseGeminiModelsList strips the models/ prefix and maps display name", () => {
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const models = parseGeminiModelsList(SAMPLE);
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const flash = models.find((m) => m.id === "gemini-2.5-flash");
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assert.ok(flash, "gemini-2.5-flash should be present");
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assert.equal(flash!.name, "Gemini 2.5 Flash");
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assert.equal(flash!.inputTokenLimit, 1048576);
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assert.equal(flash!.outputTokenLimit, 65536);
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assert.equal(flash!.supportsThinking, true);
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assert.deepEqual(flash!.supportedEndpoints, ["chat"]);
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});
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test("parseGeminiModelsList maps generateContent image models to the chat endpoint", () => {
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const models = parseGeminiModelsList(SAMPLE);
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const proImage = models.find((m) => m.id === "gemini-3-pro-image-preview");
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assert.ok(proImage, "gemini-3-pro-image-preview should be present");
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// gemini-*-image models generate images via generateContent (chat-with-modalities path).
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assert.deepEqual(proImage!.supportedEndpoints, ["chat"]);
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});
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test("parseGeminiModelsList maps Imagen predict models to the images endpoint", () => {
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const models = parseGeminiModelsList(SAMPLE);
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const imagen = models.find((m) => m.id === "imagen-4.0-generate-001");
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assert.ok(imagen, "imagen-4.0-generate-001 should be present");
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assert.deepEqual(imagen!.supportedEndpoints, ["images"]);
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});
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test("parseGeminiModelsList maps embedContent and bidiGenerateContent", () => {
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const models = parseGeminiModelsList(SAMPLE);
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assert.deepEqual(
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models.find((m) => m.id === "text-embedding-004")!.supportedEndpoints,
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["embeddings"]
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);
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assert.deepEqual(
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models.find((m) => m.id === "gemini-live-2.5-flash")!.supportedEndpoints,
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["audio"]
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);
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});
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test("parseGeminiModelsList defaults to chat and tolerates empty/missing input", () => {
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assert.deepEqual(parseGeminiModelsList({}), []);
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assert.deepEqual(parseGeminiModelsList(null), []);
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const [m] = parseGeminiModelsList({ models: [{ name: "models/mystery" }] });
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assert.equal(m.id, "mystery");
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assert.deepEqual(m.supportedEndpoints, ["chat"]);
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});
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