fix: add Mistral embedding provider to type definitions

- Add "mistral" to provider and fallback types in ResolvedMemorySearchConfig
- Add "mistral" to MemorySearchConfig provider and fallback types
- Update includeRemote logic to include Mistral provider
- Add Mistral to model default selection logic
- Remove unused imports (hashText, DEFAULT_MISTRAL_EMBEDDING_MODEL)
- Update pnpm to 10.28.2

This fixes TypeScript compilation errors from the recent Mistral embeddings
feature addition where the type definitions weren't updated to include the
new provider option.

package.json

@@ -152,7 +152,7 @@
   "engines": {
     "node": ">=22.12.0"
   },
-  "packageManager": "pnpm@10.23.0",
+  "packageManager": "pnpm@10.28.2",
   "dependencies": {
     "@agentclientprotocol/sdk": "0.13.1",
     "@aws-sdk/client-bedrock": "^3.975.0",

src/agents/memory-search.ts

@@ -5,12 +5,13 @@ import type { OpenClawConfig, MemorySearchConfig } from "../config/config.js";
 import { resolveStateDir } from "../config/paths.js";
 import { clampInt, clampNumber, resolveUserPath } from "../utils.js";
 import { resolveAgentConfig } from "./agent-scope.js";
+import { DEFAULT_MISTRAL_EMBEDDING_MODEL } from "../memory/embeddings-mistral.js";
 
 export type ResolvedMemorySearchConfig = {
   enabled: boolean;
   sources: Array<"memory" | "sessions">;
   extraPaths: string[];
-  provider: "openai" | "local" | "gemini" | "auto";
+  provider: "openai" | "local" | "gemini" | "mistral" | "auto";
   remote?: {
     baseUrl?: string;
     apiKey?: string;
@@ -26,7 +27,7 @@ export type ResolvedMemorySearchConfig = {
   experimental: {
     sessionMemory: boolean;
   };
-  fallback: "openai" | "gemini" | "local" | "none";
+  fallback: "openai" | "gemini" | "mistral" | "local" | "none";
   model: string;
   local: {
     modelPath?: string;
@@ -129,7 +130,11 @@ function mergeConfig(
     defaultRemote?.headers,
   );
   const includeRemote =
-    hasRemoteConfig || provider === "openai" || provider === "gemini" || provider === "auto";
+    hasRemoteConfig ||
+    provider === "openai" ||
+    provider === "gemini" ||
+    provider === "mistral" ||
+    provider === "auto";
   const batch = {
     enabled: overrideRemote?.batch?.enabled ?? defaultRemote?.batch?.enabled ?? true,
     wait: overrideRemote?.batch?.wait ?? defaultRemote?.batch?.wait ?? true,
@@ -154,9 +159,11 @@ function mergeConfig(
   const modelDefault =
     provider === "gemini"
       ? DEFAULT_GEMINI_MODEL
-      : provider === "openai"
-        ? DEFAULT_OPENAI_MODEL
-        : undefined;
+      : provider === "mistral"
+        ? DEFAULT_MISTRAL_EMBEDDING_MODEL
+        : provider === "openai"
+          ? DEFAULT_OPENAI_MODEL
+          : undefined;
   const model = overrides?.model ?? defaults?.model ?? modelDefault ?? "";
   const local = {
     modelPath: overrides?.local?.modelPath ?? defaults?.local?.modelPath,

src/config/types.tools.ts

@@ -234,13 +234,13 @@ export type MemorySearchConfig = {
     sessionMemory?: boolean;
   };
   /** Embedding provider mode. */
-  provider?: "openai" | "gemini" | "local";
+  provider?: "openai" | "gemini" | "mistral" | "local";
   remote?: {
     baseUrl?: string;
     apiKey?: string;
     headers?: Record<string, string>;
     batch?: {
-      /** Enable batch API for embedding indexing (OpenAI/Gemini; default: true). */
+      /** Enable batch API for embedding indexing (OpenAI/Gemini/Mistral; default: true). */
       enabled?: boolean;
       /** Wait for batch completion (default: true). */
       wait?: boolean;
@@ -253,7 +253,7 @@ export type MemorySearchConfig = {
     };
   };
   /** Fallback behavior when embeddings fail. */
-  fallback?: "openai" | "gemini" | "local" | "none";
+  fallback?: "openai" | "gemini" | "mistral" | "local" | "none";
   /** Embedding model id (remote) or alias (local). */
   model?: string;
   /** Local embedding settings (node-llama-cpp). */

src/memory/batch-mistral.ts

@@ -1,5 +1,4 @@
 import type { MistralEmbeddingClient } from "./embeddings-mistral.js";
-import { hashText } from "./internal.js";
 
 export type MistralBatchRequest = {
   custom_id: string;

src/memory/embeddings.test.ts

@@ -1,6 +1,5 @@
 import { afterEach, describe, expect, it, vi } from "vitest";
 
-import { DEFAULT_MISTRAL_EMBEDDING_MODEL } from "./embeddings-mistral.js";
 import { DEFAULT_GEMINI_EMBEDDING_MODEL } from "./embeddings-gemini.js";
 
 vi.mock("../agents/model-auth.js", () => ({