Spaces:
Configuration error
Configuration error
| import { afterEach, describe, expect, it, vi } from "vitest"; | |
| import { DEFAULT_GEMINI_EMBEDDING_MODEL } from "./embeddings-gemini.js"; | |
| vi.mock("../agents/model-auth.js", () => ({ | |
| resolveApiKeyForProvider: vi.fn(), | |
| requireApiKey: (auth: { apiKey?: string; mode?: string }, provider: string) => { | |
| if (auth?.apiKey) return auth.apiKey; | |
| throw new Error(`No API key resolved for provider "${provider}" (auth mode: ${auth?.mode}).`); | |
| }, | |
| })); | |
| const createFetchMock = () => | |
| vi.fn(async () => ({ | |
| ok: true, | |
| status: 200, | |
| json: async () => ({ data: [{ embedding: [1, 2, 3] }] }), | |
| })) as unknown as typeof fetch; | |
| describe("embedding provider remote overrides", () => { | |
| afterEach(() => { | |
| vi.resetAllMocks(); | |
| vi.resetModules(); | |
| vi.unstubAllGlobals(); | |
| }); | |
| it("uses remote baseUrl/apiKey and merges headers", async () => { | |
| const fetchMock = createFetchMock(); | |
| vi.stubGlobal("fetch", fetchMock); | |
| const { createEmbeddingProvider } = await import("./embeddings.js"); | |
| const authModule = await import("../agents/model-auth.js"); | |
| vi.mocked(authModule.resolveApiKeyForProvider).mockResolvedValue({ | |
| apiKey: "provider-key", | |
| mode: "api-key", | |
| source: "test", | |
| }); | |
| const cfg = { | |
| models: { | |
| providers: { | |
| openai: { | |
| baseUrl: "https://provider.example/v1", | |
| headers: { | |
| "X-Provider": "p", | |
| "X-Shared": "provider", | |
| }, | |
| }, | |
| }, | |
| }, | |
| }; | |
| const result = await createEmbeddingProvider({ | |
| config: cfg as never, | |
| provider: "openai", | |
| remote: { | |
| baseUrl: "https://remote.example/v1", | |
| apiKey: " remote-key ", | |
| headers: { | |
| "X-Shared": "remote", | |
| "X-Remote": "r", | |
| }, | |
| }, | |
| model: "text-embedding-3-small", | |
| fallback: "openai", | |
| }); | |
| await result.provider.embedQuery("hello"); | |
| expect(authModule.resolveApiKeyForProvider).not.toHaveBeenCalled(); | |
| const [url, init] = fetchMock.mock.calls[0] ?? []; | |
| expect(url).toBe("https://remote.example/v1/embeddings"); | |
| const headers = (init?.headers ?? {}) as Record<string, string>; | |
| expect(headers.Authorization).toBe("Bearer remote-key"); | |
| expect(headers["Content-Type"]).toBe("application/json"); | |
| expect(headers["X-Provider"]).toBe("p"); | |
| expect(headers["X-Shared"]).toBe("remote"); | |
| expect(headers["X-Remote"]).toBe("r"); | |
| }); | |
| it("falls back to resolved api key when remote apiKey is blank", async () => { | |
| const fetchMock = createFetchMock(); | |
| vi.stubGlobal("fetch", fetchMock); | |
| const { createEmbeddingProvider } = await import("./embeddings.js"); | |
| const authModule = await import("../agents/model-auth.js"); | |
| vi.mocked(authModule.resolveApiKeyForProvider).mockResolvedValue({ | |
| apiKey: "provider-key", | |
| mode: "api-key", | |
| source: "test", | |
| }); | |
| const cfg = { | |
| models: { | |
| providers: { | |
| openai: { | |
| baseUrl: "https://provider.example/v1", | |
| }, | |
| }, | |
| }, | |
| }; | |
| const result = await createEmbeddingProvider({ | |
| config: cfg as never, | |
| provider: "openai", | |
| remote: { | |
| baseUrl: "https://remote.example/v1", | |
| apiKey: " ", | |
| }, | |
| model: "text-embedding-3-small", | |
| fallback: "openai", | |
| }); | |
| await result.provider.embedQuery("hello"); | |
| expect(authModule.resolveApiKeyForProvider).toHaveBeenCalledTimes(1); | |
| const headers = (fetchMock.mock.calls[0]?.[1]?.headers as Record<string, string>) ?? {}; | |
| expect(headers.Authorization).toBe("Bearer provider-key"); | |
| }); | |
| it("builds Gemini embeddings requests with api key header", async () => { | |
| const fetchMock = vi.fn(async () => ({ | |
| ok: true, | |
| status: 200, | |
| json: async () => ({ embedding: { values: [1, 2, 3] } }), | |
| })) as unknown as typeof fetch; | |
| vi.stubGlobal("fetch", fetchMock); | |
| const { createEmbeddingProvider } = await import("./embeddings.js"); | |
| const authModule = await import("../agents/model-auth.js"); | |
| vi.mocked(authModule.resolveApiKeyForProvider).mockResolvedValue({ | |
| apiKey: "provider-key", | |
| mode: "api-key", | |
| source: "test", | |
| }); | |
| const cfg = { | |
| models: { | |
| providers: { | |
| google: { | |
| baseUrl: "https://generativelanguage.googleapis.com/v1beta", | |
| }, | |
| }, | |
| }, | |
| }; | |
| const result = await createEmbeddingProvider({ | |
| config: cfg as never, | |
| provider: "gemini", | |
| remote: { | |
| apiKey: "gemini-key", | |
| }, | |
| model: "text-embedding-004", | |
| fallback: "openai", | |
| }); | |
| await result.provider.embedQuery("hello"); | |
| const [url, init] = fetchMock.mock.calls[0] ?? []; | |
| expect(url).toBe( | |
| "https://generativelanguage.googleapis.com/v1beta/models/text-embedding-004:embedContent", | |
| ); | |
| const headers = (init?.headers ?? {}) as Record<string, string>; | |
| expect(headers["x-goog-api-key"]).toBe("gemini-key"); | |
| expect(headers["Content-Type"]).toBe("application/json"); | |
| }); | |
| }); | |
| describe("embedding provider auto selection", () => { | |
| afterEach(() => { | |
| vi.resetAllMocks(); | |
| vi.resetModules(); | |
| vi.unstubAllGlobals(); | |
| }); | |
| it("prefers openai when a key resolves", async () => { | |
| const { createEmbeddingProvider } = await import("./embeddings.js"); | |
| const authModule = await import("../agents/model-auth.js"); | |
| vi.mocked(authModule.resolveApiKeyForProvider).mockImplementation(async ({ provider }) => { | |
| if (provider === "openai") { | |
| return { apiKey: "openai-key", source: "env: OPENAI_API_KEY", mode: "api-key" }; | |
| } | |
| throw new Error(`No API key found for provider "${provider}".`); | |
| }); | |
| const result = await createEmbeddingProvider({ | |
| config: {} as never, | |
| provider: "auto", | |
| model: "", | |
| fallback: "none", | |
| }); | |
| expect(result.requestedProvider).toBe("auto"); | |
| expect(result.provider.id).toBe("openai"); | |
| }); | |
| it("uses gemini when openai is missing", async () => { | |
| const fetchMock = vi.fn(async () => ({ | |
| ok: true, | |
| status: 200, | |
| json: async () => ({ embedding: { values: [1, 2, 3] } }), | |
| })) as unknown as typeof fetch; | |
| vi.stubGlobal("fetch", fetchMock); | |
| const { createEmbeddingProvider } = await import("./embeddings.js"); | |
| const authModule = await import("../agents/model-auth.js"); | |
| vi.mocked(authModule.resolveApiKeyForProvider).mockImplementation(async ({ provider }) => { | |
| if (provider === "openai") { | |
| throw new Error('No API key found for provider "openai".'); | |
| } | |
| if (provider === "google") { | |
| return { apiKey: "gemini-key", source: "env: GEMINI_API_KEY", mode: "api-key" }; | |
| } | |
| throw new Error(`Unexpected provider ${provider}`); | |
| }); | |
| const result = await createEmbeddingProvider({ | |
| config: {} as never, | |
| provider: "auto", | |
| model: "", | |
| fallback: "none", | |
| }); | |
| expect(result.requestedProvider).toBe("auto"); | |
| expect(result.provider.id).toBe("gemini"); | |
| await result.provider.embedQuery("hello"); | |
| const [url] = fetchMock.mock.calls[0] ?? []; | |
| expect(url).toBe( | |
| `https://generativelanguage.googleapis.com/v1beta/models/${DEFAULT_GEMINI_EMBEDDING_MODEL}:embedContent`, | |
| ); | |
| }); | |
| it("keeps explicit model when openai is selected", async () => { | |
| const fetchMock = vi.fn(async () => ({ | |
| ok: true, | |
| status: 200, | |
| json: async () => ({ data: [{ embedding: [1, 2, 3] }] }), | |
| })) as unknown as typeof fetch; | |
| vi.stubGlobal("fetch", fetchMock); | |
| const { createEmbeddingProvider } = await import("./embeddings.js"); | |
| const authModule = await import("../agents/model-auth.js"); | |
| vi.mocked(authModule.resolveApiKeyForProvider).mockImplementation(async ({ provider }) => { | |
| if (provider === "openai") { | |
| return { apiKey: "openai-key", source: "env: OPENAI_API_KEY", mode: "api-key" }; | |
| } | |
| throw new Error(`Unexpected provider ${provider}`); | |
| }); | |
| const result = await createEmbeddingProvider({ | |
| config: {} as never, | |
| provider: "auto", | |
| model: "text-embedding-3-small", | |
| fallback: "none", | |
| }); | |
| expect(result.requestedProvider).toBe("auto"); | |
| expect(result.provider.id).toBe("openai"); | |
| await result.provider.embedQuery("hello"); | |
| const [url, init] = fetchMock.mock.calls[0] ?? []; | |
| expect(url).toBe("https://api.openai.com/v1/embeddings"); | |
| const payload = JSON.parse(String(init?.body ?? "{}")) as { model?: string }; | |
| expect(payload.model).toBe("text-embedding-3-small"); | |
| }); | |
| }); | |
| describe("embedding provider local fallback", () => { | |
| afterEach(() => { | |
| vi.resetAllMocks(); | |
| vi.resetModules(); | |
| vi.unstubAllGlobals(); | |
| vi.doUnmock("./node-llama.js"); | |
| }); | |
| it("falls back to openai when node-llama-cpp is missing", async () => { | |
| vi.doMock("./node-llama.js", () => ({ | |
| importNodeLlamaCpp: async () => { | |
| throw Object.assign(new Error("Cannot find package 'node-llama-cpp'"), { | |
| code: "ERR_MODULE_NOT_FOUND", | |
| }); | |
| }, | |
| })); | |
| const fetchMock = createFetchMock(); | |
| vi.stubGlobal("fetch", fetchMock); | |
| const { createEmbeddingProvider } = await import("./embeddings.js"); | |
| const authModule = await import("../agents/model-auth.js"); | |
| vi.mocked(authModule.resolveApiKeyForProvider).mockResolvedValue({ | |
| apiKey: "provider-key", | |
| mode: "api-key", | |
| source: "test", | |
| }); | |
| const result = await createEmbeddingProvider({ | |
| config: {} as never, | |
| provider: "local", | |
| model: "text-embedding-3-small", | |
| fallback: "openai", | |
| }); | |
| expect(result.provider.id).toBe("openai"); | |
| expect(result.fallbackFrom).toBe("local"); | |
| expect(result.fallbackReason).toContain("node-llama-cpp"); | |
| }); | |
| it("throws a helpful error when local is requested and fallback is none", async () => { | |
| vi.doMock("./node-llama.js", () => ({ | |
| importNodeLlamaCpp: async () => { | |
| throw Object.assign(new Error("Cannot find package 'node-llama-cpp'"), { | |
| code: "ERR_MODULE_NOT_FOUND", | |
| }); | |
| }, | |
| })); | |
| const { createEmbeddingProvider } = await import("./embeddings.js"); | |
| await expect( | |
| createEmbeddingProvider({ | |
| config: {} as never, | |
| provider: "local", | |
| model: "text-embedding-3-small", | |
| fallback: "none", | |
| }), | |
| ).rejects.toThrow(/optional dependency node-llama-cpp/i); | |
| }); | |
| }); | |