import { describe, expect, it } from "vitest"; import { DEFAULT_MODEL, MODEL_OPTIONS, normalizeModelSlug, resolveModelSlug } from "./model"; describe("normalizeModelSlug", () => { it("maps known aliases to canonical slugs", () => { expect(normalizeModelSlug("5.3")).toBe("gpt-5.3-codex"); expect(normalizeModelSlug("gpt-5.3")).toBe("gpt-5.3-codex"); }); it("returns null for empty or missing values", () => { expect(normalizeModelSlug("")).toBeNull(); expect(normalizeModelSlug(" ")).toBeNull(); expect(normalizeModelSlug(null)).toBeNull(); expect(normalizeModelSlug(undefined)).toBeNull(); }); it("preserves non-aliased model slugs", () => { expect(normalizeModelSlug("gpt-5.2")).toBe("gpt-5.2"); expect(normalizeModelSlug("gpt-5.2-codex")).toBe("gpt-5.2-codex"); });}); describe("resolveModelSlug", () => { it("returns default for missing and unknown models", () => { expect(resolveModelSlug(undefined)).toBe(DEFAULT_MODEL); expect(resolveModelSlug("gpt-4.1")).toBe(DEFAULT_MODEL); }); it("resolves only supported model options", () => { for (const model of MODEL_OPTIONS) { expect(resolveModelSlug(model)).toBe(model); } });});
import { describe, expect, it } from "vitest";
import { DEFAULT_MODEL, MODEL_OPTIONS, normalizeModelSlug, resolveModelSlug } from "./model";
describe("normalizeModelSlug", () => {
it("maps known aliases to canonical slugs", () => {
expect(normalizeModelSlug("5.3")).toBe("gpt-5.3-codex");
expect(normalizeModelSlug("gpt-5.3")).toBe("gpt-5.3-codex");
});
it("returns null for empty or missing values", () => {
expect(normalizeModelSlug("")).toBeNull();
expect(normalizeModelSlug(" ")).toBeNull();
expect(normalizeModelSlug(null)).toBeNull();
expect(normalizeModelSlug(undefined)).toBeNull();
});
it("preserves non-aliased model slugs", () => {
expect(normalizeModelSlug("gpt-5.2")).toBe("gpt-5.2");
expect(normalizeModelSlug("gpt-5.2-codex")).toBe("gpt-5.2-codex");
});
});
describe("resolveModelSlug", () => {
it("returns default for missing and unknown models", () => {
expect(resolveModelSlug(undefined)).toBe(DEFAULT_MODEL);
expect(resolveModelSlug("gpt-4.1")).toBe(DEFAULT_MODEL);
});
it("resolves only supported model options", () => {
for (const model of MODEL_OPTIONS) {
expect(resolveModelSlug(model)).toBe(model);
}
});
});