resoving problems

docs/sphinx_doc/en/source/tutorial/203-model.md

@@ -338,7 +338,7 @@ Here we provide example configurations for different model wrappers.
     "model_name": "{model_name}",               # The model name in ZhipuAI API, e.g. embedding-2
 
     # Optional parameters
-    "api_key": "{your_api_key}",                #
+    "api_key": "{your_api_key}",
 }
 ```
 

docs/sphinx_doc/en/source/tutorial/206-prompt.md

@@ -373,7 +373,6 @@ print(prompt)
 - Require `role` and `content` fields, and `role` must be either `"user"`
   `"system"` or `"assistant"`.
 - There must be at least one `user` message.
-- The `user` must speak in the beginning and end of the input messages list.
 
 #### Prompt Strategy
 

docs/sphinx_doc/zh_CN/source/tutorial/203-model.md

@@ -358,7 +358,7 @@ API如下：
     "model_name": "{model_name}",               # The model name in ZhipuAI API, e.g. embedding-2
 
     # Optional parameters
-    "api_key": "{your_api_key}",                #
+    "api_key": "{your_api_key}",
 }
 ```
 

src/agentscope/models/zhipu_model.py

@@ -57,6 +57,7 @@ def __init__(
 
         self.client = zhipuai.ZhipuAI(
             api_key=api_key,
+            **kwargs,
         )
 
         self._register_default_metrics()
@@ -316,16 +317,10 @@ def __call__(
 
         # step5: return response
         response_json = response.model_dump()
-        if len(response_json["data"]) == 0:
-            return ModelResponse(
-                embedding=response_json["data"]["embedding"][0],
-                raw=response_json,
-            )
-        else:
-            return ModelResponse(
-                embedding=[_["embedding"] for _ in response_json["data"]],
-                raw=response_json,
-            )
+        return ModelResponse(
+            embedding=[_["embedding"] for _ in response_json["data"]],
+            raw=response_json,
+        )
 
     def _register_default_metrics(self) -> None:
         # Set monitor accordingly

tests/format_test.py

@@ -175,7 +175,7 @@ def test_dashscope_chat(self) -> None:
             model.format(*self.wrong_inputs)  # type: ignore[arg-type]
 
     def test_zhipuai_chat(self) -> None:
-        """Unit test for the format function in dashscope chat api wrapper."""
+        """Unit test for the format function in zhipu chat api wrapper."""
         model = ZhipuAIChatWrapper(
             config_name="",
             model_name="glm-4",