refactor(memory): unify embedding provider constants

src/memory/embeddings.test.ts

@@ -1,7 +1,7 @@
 import { afterEach, describe, expect, it, vi } from "vitest";
 import * as authModule from "../agents/model-auth.js";
 import { DEFAULT_GEMINI_EMBEDDING_MODEL } from "./embeddings-gemini.js";
-import { createEmbeddingProvider } from "./embeddings.js";
+import { createEmbeddingProvider, DEFAULT_LOCAL_MODEL } from "./embeddings.js";
 
 vi.mock("../agents/model-auth.js", () => ({
   resolveApiKeyForProvider: vi.fn(),
@@ -303,6 +303,23 @@ describe("embedding provider local fallback", () => {
       }),
     ).rejects.toThrow(/optional dependency node-llama-cpp/i);
   });
+
+  it("mentions every remote provider in local setup guidance", async () => {
+    importNodeLlamaCppMock.mockRejectedValue(
+      Object.assign(new Error("Cannot find package 'node-llama-cpp'"), {
+        code: "ERR_MODULE_NOT_FOUND",
+      }),
+    );
+
+    await expect(
+      createEmbeddingProvider({
+        config: {} as never,
+        provider: "local",
+        model: "text-embedding-3-small",
+        fallback: "none",
+      }),
+    ).rejects.toThrow(/provider = "gemini"/i);
+  });
 });
 
 describe("local embedding normalization", () => {
@@ -341,10 +358,7 @@ describe("local embedding normalization", () => {
     const magnitude = Math.sqrt(embedding.reduce((sum, x) => sum + x * x, 0));
 
     expect(magnitude).toBeCloseTo(1.0, 5);
-    expect(resolveModelFileMock).toHaveBeenCalledWith(
+    expect(resolveModelFileMock).toHaveBeenCalledWith(DEFAULT_LOCAL_MODEL, undefined);
-      "hf:ggml-org/embeddinggemma-300m-qat-q8_0-GGUF/embeddinggemma-300m-qat-Q8_0.gguf",
-      undefined,
-    );
   });
 
   it("handles zero vector without division by zero", async () => {

src/memory/embeddings.ts

@@ -29,10 +29,16 @@ export type EmbeddingProvider = {
   embedBatch: (texts: string[]) => Promise<number[][]>;
 };
 
+export type EmbeddingProviderId = "openai" | "local" | "gemini" | "voyage";
+export type EmbeddingProviderRequest = EmbeddingProviderId | "auto";
+export type EmbeddingProviderFallback = EmbeddingProviderId | "none";
+
+const REMOTE_EMBEDDING_PROVIDER_IDS = ["openai", "gemini", "voyage"] as const;
+
 export type EmbeddingProviderResult = {
   provider: EmbeddingProvider;
-  requestedProvider: "openai" | "local" | "gemini" | "voyage" | "auto";
+  requestedProvider: EmbeddingProviderRequest;
-  fallbackFrom?: "openai" | "local" | "gemini" | "voyage";
+  fallbackFrom?: EmbeddingProviderId;
   fallbackReason?: string;
   openAi?: OpenAiEmbeddingClient;
   gemini?: GeminiEmbeddingClient;
@@ -42,21 +48,21 @@ export type EmbeddingProviderResult = {
 export type EmbeddingProviderOptions = {
   config: OpenClawConfig;
   agentDir?: string;
-  provider: "openai" | "local" | "gemini" | "voyage" | "auto";
+  provider: EmbeddingProviderRequest;
   remote?: {
     baseUrl?: string;
     apiKey?: string;
     headers?: Record<string, string>;
   };
   model: string;
-  fallback: "openai" | "gemini" | "local" | "voyage" | "none";
+  fallback: EmbeddingProviderFallback;
   local?: {
     modelPath?: string;
     modelCacheDir?: string;
   };
 };
 
-const DEFAULT_LOCAL_MODEL =
+export const DEFAULT_LOCAL_MODEL =
   "hf:ggml-org/embeddinggemma-300m-qat-q8_0-GGUF/embeddinggemma-300m-qat-Q8_0.gguf";
 
 function canAutoSelectLocal(options: EmbeddingProviderOptions): boolean {
@@ -134,7 +140,7 @@ export async function createEmbeddingProvider(
   const requestedProvider = options.provider;
   const fallback = options.fallback;
 
-  const createProvider = async (id: "openai" | "local" | "gemini" | "voyage") => {
+  const createProvider = async (id: EmbeddingProviderId) => {
     if (id === "local") {
       const provider = await createLocalEmbeddingProvider(options);
       return { provider };
@@ -151,7 +157,7 @@ export async function createEmbeddingProvider(
     return { provider, openAi: client };
   };
 
-  const formatPrimaryError = (err: unknown, provider: "openai" | "local" | "gemini" | "voyage") =>
+  const formatPrimaryError = (err: unknown, provider: EmbeddingProviderId) =>
     provider === "local" ? formatLocalSetupError(err) : formatErrorMessage(err);
 
   if (requestedProvider === "auto") {
@@ -167,7 +173,7 @@ export async function createEmbeddingProvider(
       }
     }
 
-    for (const provider of ["openai", "gemini", "voyage"] as const) {
+    for (const provider of REMOTE_EMBEDDING_PROVIDER_IDS) {
       try {
         const result = await createProvider(provider);
         return { ...result, requestedProvider };
@@ -242,8 +248,9 @@ function formatLocalSetupError(err: unknown): string {
       ? "2) Reinstall OpenClaw (this should install node-llama-cpp): npm i -g openclaw@latest"
       : null,
     "3) If you use pnpm: pnpm approve-builds (select node-llama-cpp), then pnpm rebuild node-llama-cpp",
-    'Or set agents.defaults.memorySearch.provider = "openai" (remote).',
+    ...REMOTE_EMBEDDING_PROVIDER_IDS.map(
-    'Or set agents.defaults.memorySearch.provider = "voyage" (remote).',
+      (provider) => `Or set agents.defaults.memorySearch.provider = "${provider}" (remote).`,
+    ),
   ]
     .filter(Boolean)
     .join("\n");