feat(api): support wenxin text embedding (#7377)

api/tests/integration_tests/model_runtime/wenxin/test_embedding.py

@@ -0,0 +1,24 @@
+import os
+from time import sleep
+
+from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
+from core.model_runtime.model_providers.wenxin.text_embedding.text_embedding import WenxinTextEmbeddingModel
+
+
+def test_invoke_embedding_model():
+    sleep(3)
+    model = WenxinTextEmbeddingModel()
+
+    response = model.invoke(
+        model='embedding-v1',
+        credentials={
+            'api_key': os.environ.get('WENXIN_API_KEY'),
+            'secret_key': os.environ.get('WENXIN_SECRET_KEY')
+        },
+        texts=['hello', '你好', 'xxxxx'],
+        user="abc-123"
+    )
+
+    assert isinstance(response, TextEmbeddingResult)
+    assert len(response.embeddings) == 3
+    assert isinstance(response.embeddings[0], list)