import { describe, expect, it } from "vitest";import { DEFAULT_MODEL, normalizeModelSlug, resolveModelSlug } from "./model-logic"; describe("normalizeModelSlug", () => {  it("maps 5.3 aliases to canonical codex slug", () => {    expect(normalizeModelSlug("5.3")).toBe("gpt-5.3-codex");    expect(normalizeModelSlug("gpt-5.3")).toBe("gpt-5.3-codex");  });   it("preserves non-aliased slugs", () => {    expect(normalizeModelSlug("gpt-5.3-codex")).toBe("gpt-5.3-codex");    expect(normalizeModelSlug("gpt-5.2-codex")).toBe("gpt-5.2-codex");  });   it("returns null for empty input", () => {    expect(normalizeModelSlug("")).toBeNull();    expect(normalizeModelSlug("   ")).toBeNull();    expect(normalizeModelSlug(null)).toBeNull();    expect(normalizeModelSlug(undefined)).toBeNull();  });}); describe("resolveModelSlug", () => {  it("falls back to default for unknown models", () => {    expect(resolveModelSlug("gpt-4.1")).toBe(DEFAULT_MODEL);  });   it("resolves supported hard-coded models", () => {    expect(resolveModelSlug("gpt-5.3-codex")).toBe("gpt-5.3-codex");    expect(resolveModelSlug("gpt-5.2-codex")).toBe("gpt-5.2-codex");    expect(resolveModelSlug("gpt-5.2")).toBe("gpt-5.2");  });});