重构主控编排与运行时预热链路，统一工作区提示词/专家调度协议并补齐 wiki 记忆注入与写回闭环。

同时收敛启动与运维脚本默认行为（含 wiki worker）、更新 Admin 可观测性与相关测试，降低首轮时延并提高运行稳定性。

Made-with: Cursor

openclaw/extensions/openai/memory-embedding-adapter.ts

@@ -0,0 +1,61 @@
+import {
+  isMissingEmbeddingApiKeyError,
+  mapBatchEmbeddingsByIndex,
+  sanitizeEmbeddingCacheHeaders,
+  type MemoryEmbeddingProviderAdapter,
+} from "openclaw/plugin-sdk/memory-core-host-engine-embeddings";
+import { OPENAI_BATCH_ENDPOINT, runOpenAiEmbeddingBatches } from "./embedding-batch.js";
+import {
+  createOpenAiEmbeddingProvider,
+  DEFAULT_OPENAI_EMBEDDING_MODEL,
+} from "./embedding-provider.js";
+
+export const openAiMemoryEmbeddingProviderAdapter: MemoryEmbeddingProviderAdapter = {
+  id: "openai",
+  defaultModel: DEFAULT_OPENAI_EMBEDDING_MODEL,
+  transport: "remote",
+  authProviderId: "openai",
+  autoSelectPriority: 20,
+  allowExplicitWhenConfiguredAuto: true,
+  shouldContinueAutoSelection: isMissingEmbeddingApiKeyError,
+  create: async (options) => {
+    const { provider, client } = await createOpenAiEmbeddingProvider({
+      ...options,
+      provider: "openai",
+      fallback: "none",
+    });
+    return {
+      provider,
+      runtime: {
+        id: "openai",
+        cacheKeyData: {
+          provider: "openai",
+          baseUrl: client.baseUrl,
+          model: client.model,
+          headers: sanitizeEmbeddingCacheHeaders(client.headers, ["authorization"]),
+        },
+        batchEmbed: async (batch) => {
+          const byCustomId = await runOpenAiEmbeddingBatches({
+            openAi: client,
+            agentId: batch.agentId,
+            requests: batch.chunks.map((chunk, index) => ({
+              custom_id: String(index),
+              method: "POST",
+              url: OPENAI_BATCH_ENDPOINT,
+              body: {
+                model: client.model,
+                input: chunk.text,
+              },
+            })),
+            wait: batch.wait,
+            concurrency: batch.concurrency,
+            pollIntervalMs: batch.pollIntervalMs,
+            timeoutMs: batch.timeoutMs,
+            debug: batch.debug,
+          });
+          return mapBatchEmbeddingsByIndex(byCustomId, batch.chunks.length);
+        },
+      },
+    };
+  },
+};