From 213bfcf79b5bce58987459f755e00958d01464d2 Mon Sep 17 00:00:00 2001
From: Peter Steinberger <steipete@gmail.com>
Date: Fri, 1 May 2026 11:33:05 +0100
Subject: [PATCH] refactor: trim embedding provider internal exports

---
 extensions/google/embedding-provider.ts  | 12 ++++++------
 extensions/mistral/embedding-provider.ts |  6 +++---
 extensions/openai/embedding-provider.ts  |  4 ++--
 extensions/voyage/embedding-provider.ts  |  4 ++--
 4 files changed, 13 insertions(+), 13 deletions(-)

diff --git a/extensions/google/embedding-provider.ts b/extensions/google/embedding-provider.ts
index d01eb569238..118f585266a 100644
--- a/extensions/google/embedding-provider.ts
+++ b/extensions/google/embedding-provider.ts
@@ -37,7 +37,7 @@ const GEMINI_MAX_INPUT_TOKENS: Record<string, number> = {
   "gemini-embedding-2-preview": 8192,
 };
 
-export type GeminiTaskType = NonNullable<MemoryEmbeddingProviderCreateOptions["taskType"]>;
+type GeminiTaskType = NonNullable<MemoryEmbeddingProviderCreateOptions["taskType"]>;
 
 // --- gemini-embedding-2-preview support ---
 
@@ -49,12 +49,12 @@ 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 GeminiTextPart = { text: string };
-export type GeminiInlinePart = {
+type GeminiTextPart = { text: string };
+type GeminiInlinePart = {
   inlineData: { mimeType: string; data: string };
 };
-export type GeminiPart = GeminiTextPart | GeminiInlinePart;
-export type GeminiEmbeddingRequest = {
+type GeminiPart = GeminiTextPart | GeminiInlinePart;
+type GeminiEmbeddingRequest = {
   content: { parts: GeminiPart[] };
   taskType: GeminiTaskType;
   outputDimensionality?: number;
@@ -305,7 +305,7 @@ export async function createGeminiEmbeddingProvider(
   };
 }
 
-export async function resolveGeminiEmbeddingClient(
+async function resolveGeminiEmbeddingClient(
   options: MemoryEmbeddingProviderCreateOptions,
 ): Promise<GeminiEmbeddingClient> {
   const remote = options.remote;
diff --git a/extensions/mistral/embedding-provider.ts b/extensions/mistral/embedding-provider.ts
index 4ef3c25d5a2..7635e9a64b0 100644
--- a/extensions/mistral/embedding-provider.ts
+++ b/extensions/mistral/embedding-provider.ts
@@ -7,7 +7,7 @@ import {
 } from "openclaw/plugin-sdk/memory-core-host-engine-embeddings";
 import type { SsrFPolicy } from "openclaw/plugin-sdk/ssrf-runtime";
 
-export type MistralEmbeddingClient = {
+type MistralEmbeddingClient = {
   baseUrl: string;
   headers: Record<string, string>;
   ssrfPolicy?: SsrFPolicy;
@@ -17,7 +17,7 @@ export type MistralEmbeddingClient = {
 export const DEFAULT_MISTRAL_EMBEDDING_MODEL = "mistral-embed";
 const DEFAULT_MISTRAL_BASE_URL = "https://api.mistral.ai/v1";
 
-export function normalizeMistralModel(model: string): string {
+function normalizeMistralModel(model: string): string {
   return normalizeEmbeddingModelWithPrefixes({
     model,
     defaultModel: DEFAULT_MISTRAL_EMBEDDING_MODEL,
@@ -40,7 +40,7 @@ export async function createMistralEmbeddingProvider(
   };
 }
 
-export async function resolveMistralEmbeddingClient(
+async function resolveMistralEmbeddingClient(
   options: MemoryEmbeddingProviderCreateOptions,
 ): Promise<MistralEmbeddingClient> {
   return await resolveRemoteEmbeddingClient({
diff --git a/extensions/openai/embedding-provider.ts b/extensions/openai/embedding-provider.ts
index 0df74f9da3e..94a30383541 100644
--- a/extensions/openai/embedding-provider.ts
+++ b/extensions/openai/embedding-provider.ts
@@ -26,7 +26,7 @@ const OPENAI_MAX_INPUT_TOKENS: Record<string, number> = {
   "text-embedding-ada-002": 8191,
 };
 
-export function normalizeOpenAiModel(model: string): string {
+function normalizeOpenAiModel(model: string): string {
   const trimmed = model.trim();
   if (!trimmed) {
     return DEFAULT_OPENAI_EMBEDDING_MODEL;
@@ -82,7 +82,7 @@ export async function createOpenAiEmbeddingProvider(
   };
 }
 
-export async function resolveOpenAiEmbeddingClient(
+async function resolveOpenAiEmbeddingClient(
   options: MemoryEmbeddingProviderCreateOptions,
 ): Promise<OpenAiEmbeddingClient> {
   const client = await resolveRemoteEmbeddingClient({
diff --git a/extensions/voyage/embedding-provider.ts b/extensions/voyage/embedding-provider.ts
index f4d218c80cc..67cc4b184e1 100644
--- a/extensions/voyage/embedding-provider.ts
+++ b/extensions/voyage/embedding-provider.ts
@@ -22,7 +22,7 @@ const VOYAGE_MAX_INPUT_TOKENS: Record<string, number> = {
   "voyage-code-3": 32000,
 };
 
-export function normalizeVoyageModel(model: string): string {
+function normalizeVoyageModel(model: string): string {
   return normalizeEmbeddingModelWithPrefixes({
     model,
     defaultModel: DEFAULT_VOYAGE_EMBEDDING_MODEL,
@@ -72,7 +72,7 @@ export async function createVoyageEmbeddingProvider(
   };
 }
 
-export async function resolveVoyageEmbeddingClient(
+async function resolveVoyageEmbeddingClient(
   options: MemoryEmbeddingProviderCreateOptions,
 ): Promise<VoyageEmbeddingClient> {
   const { baseUrl, headers, ssrfPolicy } = await resolveRemoteEmbeddingBearerClient({