wehub-resource-sync
86 lines
3.1 KiB
TypeScript
86 lines
3.1 KiB
TypeScript
import { describe, expect, it } from "vitest";
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import {
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OPENCODE_PRESET_MODEL_VARIANTS,
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opencodeProviderPresets,
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} from "@/config/opencodeProviderPresets";
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import { openclawProviderPresets } from "@/config/openclawProviderPresets";
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describe("TheRouter OpenCode and OpenClaw presets", () => {
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it("uses OpenAI-compatible config for OpenCode", () => {
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const preset = opencodeProviderPresets.find(
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(item) => item.name === "TheRouter",
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);
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const models = preset?.settingsConfig.models ?? {};
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expect(preset).toBeDefined();
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expect(preset?.websiteUrl).toBe("https://therouter.ai");
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expect(preset?.apiKeyUrl).toBe("https://dashboard.therouter.ai");
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expect(preset?.category).toBe("aggregator");
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expect(preset?.settingsConfig.npm).toBe("@ai-sdk/openai-compatible");
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expect(preset?.settingsConfig.options?.baseURL).toBe(
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"https://api.therouter.ai/v1",
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);
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expect(preset?.settingsConfig.options?.setCacheKey).toBe(true);
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expect(models).toHaveProperty("openai/gpt-5.3-codex");
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expect(models).toHaveProperty("anthropic/claude-sonnet-5");
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expect(models).toHaveProperty("google/gemini-3.5-flash");
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expect(models["google/gemini-3.5-flash"]?.name).toBe("Gemini 3.5 Flash");
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});
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it("uses OpenAI completions config for OpenClaw", () => {
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const preset = openclawProviderPresets.find(
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(item) => item.name === "TheRouter",
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);
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const openClawModels = preset?.settingsConfig.models ?? [];
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const modelIds = openClawModels.map((model) => model.id);
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expect(preset).toBeDefined();
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expect(preset?.websiteUrl).toBe("https://therouter.ai");
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expect(preset?.apiKeyUrl).toBe("https://dashboard.therouter.ai");
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expect(preset?.category).toBe("aggregator");
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expect(preset?.settingsConfig.baseUrl).toBe("https://api.therouter.ai/v1");
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expect(preset?.settingsConfig.api).toBe("openai-completions");
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expect(modelIds).toEqual(
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expect.arrayContaining([
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"anthropic/claude-sonnet-5",
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"openai/gpt-5.3-codex",
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"openai/gpt-5.2",
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"google/gemini-3.5-flash",
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]),
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);
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expect(
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openClawModels.find((model) => model.id === "google/gemini-3.5-flash"),
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).toMatchObject({
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name: "Gemini 3.5 Flash",
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cost: { input: 1.5, output: 9, cacheRead: 0.15 },
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});
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expect(preset?.suggestedDefaults?.model).toEqual({
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primary: "therouter/anthropic/claude-sonnet-5",
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fallbacks: [
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"therouter/openai/gpt-5.2",
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"therouter/google/gemini-3.5-flash",
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],
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});
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});
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it("keeps Google OpenCode preset model ids unique", () => {
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const googleModels = OPENCODE_PRESET_MODEL_VARIANTS["@ai-sdk/google"];
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const ids = googleModels.map((model) => model.id);
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const geminiFlashModels = googleModels.filter(
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(model) => model.id === "gemini-3.5-flash",
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);
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expect(new Set(ids).size).toBe(ids.length);
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expect(geminiFlashModels).toHaveLength(1);
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expect(geminiFlashModels[0]).toMatchObject({
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name: "Gemini 3.5 Flash",
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variants: {
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minimal: expect.any(Object),
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low: expect.any(Object),
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medium: expect.any(Object),
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high: expect.any(Object),
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},
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});
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});
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});
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