fix(memory): preserve embedding proxy provider prefixes (#66452)

* fix(memory): preserve embedding proxy provider prefixes

* docs(changelog): fix embeddings entry

* Update CHANGELOG.md

CHANGELOG.md

@@ -19,6 +19,7 @@ Docs: https://docs.openclaw.ai
 - Ollama/OpenAI-compat: send `stream_options.include_usage` for Ollama streaming completions so local Ollama runs report real usage instead of falling back to bogus prompt-token counts that trigger premature compaction. (#64568) Thanks @xchunzhao and @vincentkoc.
 - Doctor/plugins: cache external `preferOver` catalog lookups within each plugin auto-enable pass so large `agents.list` configs no longer peg CPU and repeatedly reread plugin catalogs during doctor/plugins resolution. (#66246) Thanks @yfge.
 - GitHub Copilot/thinking: allow `github-copilot/gpt-5.4` to use `xhigh` reasoning so Copilot GPT-5.4 matches the rest of the GPT-5.4 family. (#50168) Thanks @jakepresent and @vincentkoc.
+- Memory/embeddings: preserve non-OpenAI provider prefixes when normalizing OpenAI-compatible embedding model refs so proxy-backed memory providers stop failing with `Unknown memory embedding provider`. (#66452) Thanks @jlapenna.
 - Agents/local models: clarify low-context preflight hints for self-hosted models, point config-backed caps at the relevant OpenClaw setting, and stop suggesting larger models when `agents.defaults.contextTokens` is the real limit. (#66236) Thanks @ImLukeF.
 - Browser/SSRF: restore hostname navigation under the default browser SSRF policy while keeping explicit strict mode reachable from config, and keep managed loopback CDP `/json/new` fallback requests on the local CDP control policy so browser follow-up fixes stop regressing normal navigation or self-blocking local CDP control. (#66386) Thanks @obviyus.
 - Models/Codex: canonicalize the legacy `openai-codex/gpt-5.4-codex` runtime alias to `openai-codex/gpt-5.4` while still honoring alias-specific and canonical per-model overrides. (#43060) Thanks @Sapientropic and @vincentkoc.

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

@@ -0,0 +1,25 @@
+import { describe, expect, it } from "vitest";
+import { DEFAULT_OPENAI_EMBEDDING_MODEL, normalizeOpenAiModel } from "./embeddings-openai.js";
+
+describe("normalizeOpenAiModel", () => {
+  it("returns the default model when input is blank", () => {
+    expect(normalizeOpenAiModel("")).toBe(DEFAULT_OPENAI_EMBEDDING_MODEL);
+    expect(normalizeOpenAiModel("   ")).toBe(DEFAULT_OPENAI_EMBEDDING_MODEL);
+  });
+
+  it("strips the openai/ prefix", () => {
+    expect(normalizeOpenAiModel("openai/text-embedding-3-small")).toBe("text-embedding-3-small");
+    expect(normalizeOpenAiModel("openai/text-embedding-ada-002")).toBe("text-embedding-ada-002");
+  });
+
+  it("preserves explicit third-party provider prefixes", () => {
+    expect(normalizeOpenAiModel("spark/text-embedding-3-small")).toBe(
+      "spark/text-embedding-3-small",
+    );
+    expect(normalizeOpenAiModel("litellm/azure/ada-002")).toBe("litellm/azure/ada-002");
+  });
+
+  it("preserves unprefixed model ids", () => {
+    expect(normalizeOpenAiModel("text-embedding-3-large")).toBe("text-embedding-3-large");
+  });
+});

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

@@ -1,6 +1,6 @@
+import { parseStaticModelRef } from "../../agents/model-ref-shared.js";
 import type { SsrFPolicy } from "../../infra/net/ssrf.js";
 import { OPENAI_DEFAULT_EMBEDDING_MODEL } from "../../plugins/provider-model-defaults.js";
-import { normalizeEmbeddingModelWithPrefixes } from "./embeddings-model-normalize.js";
 import {
   createRemoteEmbeddingProvider,
   resolveRemoteEmbeddingClient,
@@ -24,11 +24,12 @@ const OPENAI_MAX_INPUT_TOKENS: Record<string, number> = {
 };
 
 export function normalizeOpenAiModel(model: string): string {
-  return normalizeEmbeddingModelWithPrefixes({
-    model,
-    defaultModel: DEFAULT_OPENAI_EMBEDDING_MODEL,
-    prefixes: ["openai/"],
-  });
+  const trimmed = model.trim();
+  if (!trimmed) {
+    return DEFAULT_OPENAI_EMBEDDING_MODEL;
+  }
+  const parsed = parseStaticModelRef(trimmed, "openai");
+  return parsed && parsed.provider === "openai" ? parsed.model : trimmed;
 }
 
 export async function createOpenAiEmbeddingProvider(