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vi.mock("../../open-sse/utils/proxyFetch.js", () => ({
proxyAwareFetch: vi.fn(),
}));
import { proxyAwareFetch } from "../../open-sse/utils/proxyFetch.js";
import { getUsageForProvider } from "../../open-sse/services/usage.js";
function usageResponse(modelRemains) {
return new Response(
JSON.stringify({
base_resp: { status_code: 0, status_msg: "success" },
model_remains: modelRemains,
}),
{ status: 200, headers: { "Content-Type": "application/json" } }
);
}
describe("MiniMax usage", () => {
beforeEach(() => {
vi.clearAllMocks();
});
it("parses token-plan TTS quota counts as used counts", async () => {
proxyAwareFetch.mockResolvedValueOnce(
usageResponse([
{
model_name: "text to speech hd",
current_interval_total_count: 4000,
current_interval_usage_count: 25,
current_weekly_total_count: 12000,
current_weekly_usage_count: 100,
end_time: "2026-05-12T10:00:00.000Z",
weekly_end_time: "2026-05-19T10:00:00.000Z",
},
])
);
const usage = await getUsageForProvider({
provider: "minimax",
apiKey: "test-key",
});
expect(usage.message).toBeUndefined();
expect(usage.quotas["Text to Speech HD (5h)"]).toMatchObject({
used: 25,
total: 4000,
remaining: 3975,
});
expect(usage.quotas["Text to Speech HD (7d)"]).toMatchObject({
used: 100,
total: 12000,
remaining: 11900,
});
});
it("parses coding-plan TTS quota counts as remaining counts", async () => {
proxyAwareFetch.mockResolvedValueOnce(
usageResponse([
{
modelName: "Text to Speech HD",
currentIntervalTotalCount: 4000,
currentIntervalUsageCount: 4000,
currentWeeklyTotalCount: 12000,
currentWeeklyUsageCount: 11800,
remainsTime: 1000,
weeklyRemainsTime: 2000,
},
])
);
const usage = await getUsageForProvider({
provider: "minimax-cn",
apiKey: "test-key",
});
expect(usage.message).toBeUndefined();
expect(usage.quotas["Text to Speech HD (5h)"]).toMatchObject({
used: 0,
total: 4000,
remaining: 4000,
});
expect(usage.quotas["Text to Speech HD (7d)"]).toMatchObject({
used: 200,
total: 12000,
remaining: 11800,
});
});
it("keeps non-TTS MiniMax quota rows instead of filtering to text only", async () => {
proxyAwareFetch.mockResolvedValueOnce(
usageResponse([
{
model_name: "music-2.6",
current_interval_total_count: 100,
current_interval_usage_count: 5,
},
{
model_name: "image-01",
current_interval_total_count: 50,
current_interval_usage_count: 2,
},
])
);
const usage = await getUsageForProvider({
provider: "minimax",
apiKey: "test-key",
});
expect(Object.keys(usage.quotas)).toEqual(["Music 2.6 (5h)", "Image 01 (5h)"]);
expect(usage.quotas["Music 2.6 (5h)"].used).toBe(5);
expect(usage.quotas["Image 01 (5h)"].used).toBe(2);
});
it("includes M-series percent-only buckets that have no count totals", async () => {
proxyAwareFetch.mockResolvedValueOnce(
usageResponse([
{
model_name: "general",
current_interval_remaining_percent: 70,
current_weekly_remaining_percent: 64,
},
])
);
const usage = await getUsageForProvider({
provider: "minimax",
apiKey: "test-key",
});
expect(usage.message).toBeUndefined();
expect(usage.quotas["M-series (5h)"]).toMatchObject({
used: 30,
total: 100,
remaining: 70,
remainingPercentage: 70,
});
expect(usage.quotas["M-series (7d)"]).toMatchObject({
used: 36,
total: 100,
remaining: 64,
remainingPercentage: 64,
});
});
it("normalizes M-series percent-only buckets on the coding_plan (countMeansRemaining) endpoint too", async () => {
proxyAwareFetch.mockResolvedValueOnce(
usageResponse([
{
model_name: "general",
current_interval_remaining_percent: 80,
current_weekly_remaining_percent: 95,
},
])
);
const usage = await getUsageForProvider({
provider: "minimax-cn",
apiKey: "test-key",
});
expect(usage.message).toBeUndefined();
expect(usage.quotas["M-series (5h)"]).toMatchObject({
used: 20,
total: 100,
remaining: 80,
remainingPercentage: 80,
});
expect(usage.quotas["M-series (7d)"]).toMatchObject({
used: 5,
total: 100,
remaining: 95,
remainingPercentage: 95,
});
});
it("renders the M3-era MiniMax-M* wildcard as a friendly series label", async () => {
proxyAwareFetch.mockResolvedValueOnce(
usageResponse([
{
modelName: "MiniMax-M*",
currentIntervalTotalCount: 4000,
currentIntervalUsageCount: 3200,
currentWeeklyTotalCount: 24000,
currentWeeklyUsageCount: 18000,
remainsTime: 1000,
weeklyRemainsTime: 2000,
},
])
);
const usage = await getUsageForProvider({
provider: "minimax-cn",
apiKey: "test-key",
});
expect(usage.message).toBeUndefined();
expect(Object.keys(usage.quotas)).toEqual([
"M-series (5h)",
"M-series (7d)",
]);
expect(usage.quotas["M-series (5h)"]).toMatchObject({
used: 800,
total: 4000,
remaining: 3200,
});
expect(usage.quotas["M-series (7d)"]).toMatchObject({
used: 6000,
total: 24000,
remaining: 18000,
});
});
it("prefers the upstream-provided remaining percent when counts are also present", async () => {
proxyAwareFetch.mockResolvedValueOnce(
usageResponse([
{
model_name: "general",
current_interval_total_count: 4000,
current_interval_usage_count: 100,
current_interval_remaining_percent: 84,
current_weekly_total_count: 24000,
current_weekly_usage_count: 500,
current_weekly_remaining_percent: 42,
},
])
);
const usage = await getUsageForProvider({
provider: "minimax",
apiKey: "test-key",
});
expect(usage.quotas["M-series (5h)"].remainingPercentage).toBe(84);
expect(usage.quotas["M-series (7d)"].remainingPercentage).toBe(42);
});
});
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