242 lines
6.9 KiB
TypeScript
242 lines
6.9 KiB
TypeScript
import OpenAI from "openai";
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import { describe, expect, it } from "vitest";
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import { buildOpenAIProvider } from "./openai-provider.js";
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const OPENAI_API_KEY = process.env.OPENAI_API_KEY ?? "";
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const DEFAULT_LIVE_MODEL_IDS = ["gpt-5.4-mini", "gpt-5.4-nano"] as const;
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const liveEnabled = OPENAI_API_KEY.trim().length > 0 && process.env.OPENCLAW_LIVE_TEST === "1";
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const describeLive = liveEnabled ? describe : describe.skip;
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type LiveModelCase = {
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modelId: string;
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templateId: string;
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templateName: string;
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cost: { input: number; output: number; cacheRead: number; cacheWrite: number };
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contextWindow: number;
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maxTokens: number;
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};
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function resolveLiveModelCase(modelId: string): LiveModelCase {
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switch (modelId) {
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case "gpt-5.4":
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return {
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modelId,
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templateId: "gpt-5.2",
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templateName: "GPT-5.2",
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cost: { input: 1, output: 2, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 400_000,
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maxTokens: 128_000,
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};
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case "gpt-5.4-pro":
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return {
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modelId,
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templateId: "gpt-5.2-pro",
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templateName: "GPT-5.2 Pro",
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cost: { input: 15, output: 60, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 400_000,
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maxTokens: 128_000,
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};
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case "gpt-5.4-mini":
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return {
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modelId,
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templateId: "gpt-5-mini",
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templateName: "GPT-5 mini",
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cost: { input: 1, output: 2, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 400_000,
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maxTokens: 128_000,
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};
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case "gpt-5.4-nano":
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return {
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modelId,
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templateId: "gpt-5-nano",
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templateName: "GPT-5 nano",
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cost: { input: 0.5, output: 1, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 200_000,
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maxTokens: 64_000,
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};
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default:
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throw new Error(`Unsupported live OpenAI model: ${modelId}`);
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}
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}
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function resolveLiveModelCases(raw?: string): LiveModelCase[] {
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const requested = raw
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?.split(",")
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.map((value) => value.trim())
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.filter(Boolean);
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const modelIds = requested?.length ? requested : [...DEFAULT_LIVE_MODEL_IDS];
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return [...new Set(modelIds)].map((modelId) => resolveLiveModelCase(modelId));
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}
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describe("buildOpenAIProvider", () => {
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it("resolves gpt-5.4 mini and nano from GPT-5 small-model templates", () => {
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const provider = buildOpenAIProvider();
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const registry = {
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find(providerId: string, id: string) {
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if (providerId !== "openai") {
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return null;
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}
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if (id === "gpt-5-mini") {
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return {
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id,
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name: "GPT-5 mini",
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provider: "openai",
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api: "openai-responses",
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baseUrl: "https://api.openai.com/v1",
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reasoning: true,
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input: ["text", "image"],
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cost: { input: 1, output: 2, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 400_000,
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maxTokens: 128_000,
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};
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}
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if (id === "gpt-5-nano") {
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return {
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id,
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name: "GPT-5 nano",
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provider: "openai",
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api: "openai-responses",
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baseUrl: "https://api.openai.com/v1",
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reasoning: true,
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input: ["text", "image"],
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cost: { input: 0.5, output: 1, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 200_000,
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maxTokens: 64_000,
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};
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}
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return null;
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},
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};
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const mini = provider.resolveDynamicModel?.({
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provider: "openai",
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modelId: "gpt-5.4-mini",
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modelRegistry: registry as never,
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});
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const nano = provider.resolveDynamicModel?.({
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provider: "openai",
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modelId: "gpt-5.4-nano",
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modelRegistry: registry as never,
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});
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expect(mini).toMatchObject({
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provider: "openai",
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id: "gpt-5.4-mini",
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api: "openai-responses",
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baseUrl: "https://api.openai.com/v1",
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contextWindow: 400_000,
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maxTokens: 128_000,
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});
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expect(nano).toMatchObject({
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provider: "openai",
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id: "gpt-5.4-nano",
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api: "openai-responses",
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baseUrl: "https://api.openai.com/v1",
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contextWindow: 200_000,
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maxTokens: 64_000,
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});
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});
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it("surfaces gpt-5.4 mini and nano in xhigh and augmented catalog metadata", () => {
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const provider = buildOpenAIProvider();
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expect(
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provider.supportsXHighThinking?.({
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provider: "openai",
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modelId: "gpt-5.4-mini",
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} as never),
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).toBe(true);
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expect(
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provider.supportsXHighThinking?.({
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provider: "openai",
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modelId: "gpt-5.4-nano",
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} as never),
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).toBe(true);
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const entries = provider.augmentModelCatalog?.({
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env: process.env,
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entries: [
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{ provider: "openai", id: "gpt-5-mini", name: "GPT-5 mini" },
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{ provider: "openai", id: "gpt-5-nano", name: "GPT-5 nano" },
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],
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} as never);
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expect(entries).toContainEqual({
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provider: "openai",
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id: "gpt-5.4-mini",
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name: "gpt-5.4-mini",
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});
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expect(entries).toContainEqual({
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provider: "openai",
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id: "gpt-5.4-nano",
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name: "gpt-5.4-nano",
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});
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});
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});
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describeLive("buildOpenAIProvider live", () => {
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it.each(resolveLiveModelCases(process.env.OPENCLAW_LIVE_OPENAI_MODELS))(
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"resolves %s and completes through the OpenAI responses API",
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async (liveCase) => {
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const provider = buildOpenAIProvider();
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const registry = {
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find(providerId: string, id: string) {
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if (providerId !== "openai") {
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return null;
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}
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if (id === liveCase.templateId) {
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return {
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id: liveCase.templateId,
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name: liveCase.templateName,
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provider: "openai",
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api: "openai-completions",
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baseUrl: "https://api.openai.com/v1",
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reasoning: true,
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input: ["text", "image"],
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cost: liveCase.cost,
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contextWindow: liveCase.contextWindow,
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maxTokens: liveCase.maxTokens,
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};
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}
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return null;
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},
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};
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const resolved = provider.resolveDynamicModel?.({
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provider: "openai",
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modelId: liveCase.modelId,
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modelRegistry: registry as never,
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});
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expect(resolved).toBeDefined();
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const normalized = provider.normalizeResolvedModel?.({
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provider: "openai",
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modelId: resolved!.id,
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model: resolved!,
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});
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expect(normalized).toMatchObject({
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provider: "openai",
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id: liveCase.modelId,
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api: "openai-responses",
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baseUrl: "https://api.openai.com/v1",
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});
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const client = new OpenAI({
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apiKey: OPENAI_API_KEY,
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baseURL: normalized?.baseUrl,
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});
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const response = await client.responses.create({
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model: normalized?.id ?? liveCase.modelId,
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input: "Reply with exactly OK.",
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max_output_tokens: 16,
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});
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expect(response.output_text.trim()).toMatch(/^OK[.!]?$/);
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},
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30_000,
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);
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});
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