embedding 3 fix dimensions

tests/integration_tests/test_embedding.py

@@ -24,3 +24,27 @@ def test_embeddings(logging_conf):
         print(err)
     except zhipuai.core._errors.APIStatusError as err:
         print(err)
+
+
+def test_embeddings_dimensions(logging_conf):
+    logging.config.dictConfig(logging_conf)  # type: ignore
+
+    client = ZhipuAI()
+    try:
+        response = client.embeddings.create(
+            model="embedding-3", #填写需要调用的模型名称
+            input="你好",
+            dimensions=512,
+            extra_body={"model_version": "v1"}
+        )
+        assert response.data[0].object == "embedding"
+        assert len(response.data[0].embedding) == 512
+        print(len(response.data[0].embedding))
+
+
+    except zhipuai.core._errors.APIRequestFailedError as err:
+        print(err)
+    except zhipuai.core._errors.APIInternalError as err:
+        print(err)
+    except zhipuai.core._errors.APIStatusError as err:
+        print(err)

zhipuai/api_resource/embeddings.py

@@ -22,6 +22,7 @@ def create(
             *,
             input: Union[str, List[str], List[int], List[List[int]]],
             model: Union[str],
+            dimensions: Union[int],
             encoding_format: str | NotGiven = NOT_GIVEN,
             user: str | NotGiven = NOT_GIVEN,
             request_id: Optional[str] | NotGiven = NOT_GIVEN,
@@ -39,6 +40,7 @@ def create(
             body={
                 "input": input,
                 "model": model,
+                "dimensions": dimensions,
                 "encoding_format": encoding_format,
                 "user": user,
                 "request_id": request_id,