fix(memory): split embedding provider types

src/memory-host-sdk/host/embeddings-bedrock.ts

@@ -1,7 +1,7 @@
 import { normalizeLowercaseStringOrEmpty } from "../../shared/string-coerce.js";
 import { sanitizeAndNormalizeEmbedding } from "./embedding-vectors.js";
 import { debugEmbeddingsLog } from "./embeddings-debug.js";
-import type { EmbeddingProvider, EmbeddingProviderOptions } from "./embeddings.js";
+import type { EmbeddingProvider, EmbeddingProviderOptions } from "./embeddings.types.js";
 
 // ---------------------------------------------------------------------------
 // Types & constants

src/memory-host-sdk/host/embeddings-gemini.ts

@@ -13,7 +13,11 @@ import { normalizeOptionalString } from "../../shared/string-coerce.js";
 import type { EmbeddingInput } from "./embedding-inputs.js";
 import { sanitizeAndNormalizeEmbedding } from "./embedding-vectors.js";
 import { debugEmbeddingsLog } from "./embeddings-debug.js";
-import type { EmbeddingProvider, EmbeddingProviderOptions } from "./embeddings.js";
+import type {
+  EmbeddingProvider,
+  EmbeddingProviderOptions,
+  GeminiTaskType,
+} from "./embeddings.types.js";
 import { buildRemoteBaseUrlPolicy, withRemoteHttpResponse } from "./remote-http.js";
 import { resolveMemorySecretInputString } from "./secret-input.js";
 
@@ -42,14 +46,7 @@ export const GEMINI_EMBEDDING_2_MODELS = new Set([
 const GEMINI_EMBEDDING_2_DEFAULT_DIMENSIONS = 3072;
 const GEMINI_EMBEDDING_2_VALID_DIMENSIONS = [768, 1536, 3072] as const;
 
-export type GeminiTaskType =
-  | "RETRIEVAL_QUERY"
-  | "RETRIEVAL_DOCUMENT"
-  | "SEMANTIC_SIMILARITY"
-  | "CLASSIFICATION"
-  | "CLUSTERING"
-  | "QUESTION_ANSWERING"
-  | "FACT_VERIFICATION";
+export type { GeminiTaskType } from "./embeddings.types.js";
 
 export type GeminiTextPart = { text: string };
 export type GeminiInlinePart = {

src/memory-host-sdk/host/embeddings-mistral.ts

@@ -4,7 +4,7 @@ import {
   createRemoteEmbeddingProvider,
   resolveRemoteEmbeddingClient,
 } from "./embeddings-remote-provider.js";
-import type { EmbeddingProvider, EmbeddingProviderOptions } from "./embeddings.js";
+import type { EmbeddingProvider, EmbeddingProviderOptions } from "./embeddings.types.js";
 
 export type MistralEmbeddingClient = {
   baseUrl: string;

src/memory-host-sdk/host/embeddings-openai.ts

@@ -5,7 +5,7 @@ import {
   createRemoteEmbeddingProvider,
   resolveRemoteEmbeddingClient,
 } from "./embeddings-remote-provider.js";
-import type { EmbeddingProvider, EmbeddingProviderOptions } from "./embeddings.js";
+import type { EmbeddingProvider, EmbeddingProviderOptions } from "./embeddings.types.js";
 
 export type OpenAiEmbeddingClient = {
   baseUrl: string;

src/memory-host-sdk/host/embeddings-remote-client.ts

@@ -1,7 +1,7 @@
 import { requireApiKey, resolveApiKeyForProvider } from "../../agents/model-auth.js";
 import type { SsrFPolicy } from "../../infra/net/ssrf.js";
 import { normalizeOptionalString } from "../../shared/string-coerce.js";
-import type { EmbeddingProviderOptions } from "./embeddings.js";
+import type { EmbeddingProviderOptions } from "./embeddings.types.js";
 import { buildRemoteBaseUrlPolicy } from "./remote-http.js";
 import { resolveMemorySecretInputString } from "./secret-input.js";
 

src/memory-host-sdk/host/embeddings-remote-provider.ts

@@ -4,7 +4,7 @@ import {
   type RemoteEmbeddingProviderId,
 } from "./embeddings-remote-client.js";
 import { fetchRemoteEmbeddingVectors } from "./embeddings-remote-fetch.js";
-import type { EmbeddingProvider, EmbeddingProviderOptions } from "./embeddings.js";
+import type { EmbeddingProvider, EmbeddingProviderOptions } from "./embeddings.types.js";
 
 export type RemoteEmbeddingClient = {
   baseUrl: string;

src/memory-host-sdk/host/embeddings-voyage.ts

@@ -2,7 +2,7 @@ import type { SsrFPolicy } from "../../infra/net/ssrf.js";
 import { normalizeEmbeddingModelWithPrefixes } from "./embeddings-model-normalize.js";
 import { resolveRemoteEmbeddingBearerClient } from "./embeddings-remote-client.js";
 import { fetchRemoteEmbeddingVectors } from "./embeddings-remote-fetch.js";
-import type { EmbeddingProvider, EmbeddingProviderOptions } from "./embeddings.js";
+import type { EmbeddingProvider, EmbeddingProviderOptions } from "./embeddings.types.js";
 
 export type VoyageEmbeddingClient = {
   baseUrl: string;

src/memory-host-sdk/host/embeddings.ts

@@ -1,22 +1,15 @@
 import fsSync from "node:fs";
 import type { Llama, LlamaEmbeddingContext, LlamaModel } from "node-llama-cpp";
-import type { OpenClawConfig } from "../../config/config.js";
-import type { SecretInput } from "../../config/types.secrets.js";
 import { formatErrorMessage } from "../../infra/errors.js";
 import { normalizeOptionalString } from "../../shared/string-coerce.js";
 import { resolveUserPath } from "../../utils.js";
-import type { EmbeddingInput } from "./embedding-inputs.js";
 import { sanitizeAndNormalizeEmbedding } from "./embedding-vectors.js";
 import {
   createBedrockEmbeddingProvider,
   hasAwsCredentials,
   type BedrockEmbeddingClient,
 } from "./embeddings-bedrock.js";
-import {
-  createGeminiEmbeddingProvider,
-  type GeminiEmbeddingClient,
-  type GeminiTaskType,
-} from "./embeddings-gemini.js";
+import { createGeminiEmbeddingProvider, type GeminiEmbeddingClient } from "./embeddings-gemini.js";
 import {
   createMistralEmbeddingProvider,
   type MistralEmbeddingClient,
@@ -24,6 +17,14 @@ import {
 import { createOllamaEmbeddingProvider, type OllamaEmbeddingClient } from "./embeddings-ollama.js";
 import { createOpenAiEmbeddingProvider, type OpenAiEmbeddingClient } from "./embeddings-openai.js";
 import { createVoyageEmbeddingProvider, type VoyageEmbeddingClient } from "./embeddings-voyage.js";
+import type {
+  EmbeddingProvider,
+  EmbeddingProviderFallback,
+  EmbeddingProviderId,
+  EmbeddingProviderOptions,
+  EmbeddingProviderRequest,
+  GeminiTaskType,
+} from "./embeddings.types.js";
 import { importNodeLlamaCpp } from "./node-llama.js";
 
 export type { GeminiEmbeddingClient } from "./embeddings-gemini.js";
@@ -32,26 +33,14 @@ export type { OpenAiEmbeddingClient } from "./embeddings-openai.js";
 export type { VoyageEmbeddingClient } from "./embeddings-voyage.js";
 export type { OllamaEmbeddingClient } from "./embeddings-ollama.js";
 export type { BedrockEmbeddingClient } from "./embeddings-bedrock.js";
-
-export type EmbeddingProvider = {
-  id: string;
-  model: string;
-  maxInputTokens?: number;
-  embedQuery: (text: string) => Promise<number[]>;
-  embedBatch: (texts: string[]) => Promise<number[][]>;
-  embedBatchInputs?: (inputs: EmbeddingInput[]) => Promise<number[][]>;
-};
-
-export type EmbeddingProviderId =
-  | "openai"
-  | "local"
-  | "gemini"
-  | "voyage"
-  | "mistral"
-  | "ollama"
-  | "bedrock";
-export type EmbeddingProviderRequest = EmbeddingProviderId | "auto";
-export type EmbeddingProviderFallback = EmbeddingProviderId | "none";
+export type {
+  EmbeddingProvider,
+  EmbeddingProviderFallback,
+  EmbeddingProviderId,
+  EmbeddingProviderOptions,
+  EmbeddingProviderRequest,
+  GeminiTaskType,
+} from "./embeddings.types.js";
 
 // Remote providers considered for auto-selection when provider === "auto".
 // Ollama is intentionally excluded here so that "auto" mode does not
@@ -73,27 +62,6 @@ export type EmbeddingProviderResult = {
   bedrock?: BedrockEmbeddingClient;
 };
 
-export type EmbeddingProviderOptions = {
-  config: OpenClawConfig;
-  agentDir?: string;
-  provider: EmbeddingProviderRequest;
-  remote?: {
-    baseUrl?: string;
-    apiKey?: SecretInput;
-    headers?: Record<string, string>;
-  };
-  model: string;
-  fallback: EmbeddingProviderFallback;
-  local?: {
-    modelPath?: string;
-    modelCacheDir?: string;
-  };
-  /** Provider-specific output vector dimensions for supported embedding families. */
-  outputDimensionality?: number;
-  /** Gemini: override the default task type sent with embedding requests. */
-  taskType?: GeminiTaskType;
-};
-
 export const DEFAULT_LOCAL_MODEL =
   "hf:ggml-org/embeddinggemma-300m-qat-q8_0-GGUF/embeddinggemma-300m-qat-Q8_0.gguf";
 

src/memory-host-sdk/host/embeddings.types.ts

@@ -0,0 +1,54 @@
+import type { OpenClawConfig } from "../../config/config.js";
+import type { SecretInput } from "../../config/types.secrets.js";
+import type { EmbeddingInput } from "./embedding-inputs.js";
+
+export type EmbeddingProvider = {
+  id: string;
+  model: string;
+  maxInputTokens?: number;
+  embedQuery: (text: string) => Promise<number[]>;
+  embedBatch: (texts: string[]) => Promise<number[][]>;
+  embedBatchInputs?: (inputs: EmbeddingInput[]) => Promise<number[][]>;
+};
+
+export type EmbeddingProviderId =
+  | "openai"
+  | "local"
+  | "gemini"
+  | "voyage"
+  | "mistral"
+  | "ollama"
+  | "bedrock";
+
+export type EmbeddingProviderRequest = EmbeddingProviderId | "auto";
+export type EmbeddingProviderFallback = EmbeddingProviderId | "none";
+
+export type GeminiTaskType =
+  | "RETRIEVAL_QUERY"
+  | "RETRIEVAL_DOCUMENT"
+  | "SEMANTIC_SIMILARITY"
+  | "CLASSIFICATION"
+  | "CLUSTERING"
+  | "QUESTION_ANSWERING"
+  | "FACT_VERIFICATION";
+
+export type EmbeddingProviderOptions = {
+  config: OpenClawConfig;
+  agentDir?: string;
+  provider: EmbeddingProviderRequest;
+  remote?: {
+    baseUrl?: string;
+    apiKey?: SecretInput;
+    headers?: Record<string, string>;
+  };
+  model: string;
+  fallback: EmbeddingProviderFallback;
+  local?: {
+    modelPath?: string;
+    modelCacheDir?: string;
+  };
+  /** Provider-specific output vector dimensions for supported embedding families. */
+  outputDimensionality?: number;
+  /** Gemini: override the default task type sent with embedding requests. */
+  taskType?: GeminiTaskType;
+};