Add embedding preview

api/tests/test_llm.py

@@ -300,3 +300,53 @@ class TestLLMModelAPI:
 
         response = client.post(f"/api/llm/{model_id}/preview", json={"message": "   "})
         assert response.status_code == 400
+
+    def test_preview_embedding_model_success(self, client, monkeypatch):
+        """Test embedding model preview endpoint returns embedding summary."""
+        from app.routers import llm as llm_router
+
+        embedding_model_data = {
+            "id": "preview-emb",
+            "name": "Preview Embedding",
+            "vendor": "OpenAI",
+            "type": "embedding",
+            "base_url": "https://api.openai.com/v1",
+            "api_key": "test-key",
+            "model_name": "text-embedding-3-small"
+        }
+        create_response = client.post("/api/llm", json=embedding_model_data)
+        model_id = create_response.json()["id"]
+
+        class DummyResponse:
+            status_code = 200
+
+            def json(self):
+                return {"data": [{"embedding": [0.1, 0.2, 0.3, 0.4]}], "usage": {"total_tokens": 7}}
+
+            @property
+            def text(self):
+                return '{"ok":true}'
+
+        class DummyClient:
+            def __init__(self, *args, **kwargs):
+                pass
+
+            def __enter__(self):
+                return self
+
+            def __exit__(self, exc_type, exc, tb):
+                return False
+
+            def post(self, url, json=None, headers=None):
+                assert url.endswith("/embeddings")
+                assert json["input"] == "hello embedding"
+                assert headers["Authorization"] == "Bearer test-key"
+                return DummyResponse()
+
+        monkeypatch.setattr(llm_router.httpx, "Client", DummyClient)
+
+        response = client.post(f"/api/llm/{model_id}/preview", json={"message": "hello embedding"})
+        assert response.status_code == 200
+        data = response.json()
+        assert data["success"] is True
+        assert "dims=4" in data["reply"]