fix https://github.com/langchain-ai/langchain/issues/23215 (#23216)

fix bug 
The ZhipuAIEmbeddings class is not working.

Co-authored-by: xu yandong <shaonian@acsx1.onexmail.com>

libs/community/langchain_community/embeddings/zhipuai.py

@@ -26,7 +26,7 @@ class ZhipuAIEmbeddings(BaseModel, Embeddings):
             # query_result = embeddings.embed_query(texts)
     """
 
-    _client: Any = Field(default=None, exclude=True)  #: :meta private:
+    client: Any = Field(default=None, exclude=True)  #: :meta private:
     model: str = Field(default="embedding-2")
     """Model name"""
     api_key: str
@@ -39,7 +39,7 @@ class ZhipuAIEmbeddings(BaseModel, Embeddings):
         try:
             from zhipuai import ZhipuAI
 
-            values["_client"] = ZhipuAI(api_key=values["api_key"])
+            values["client"] = ZhipuAI(api_key=values["api_key"])
         except ImportError:
             raise ImportError(
                 "Could not import zhipuai python package."
@@ -71,6 +71,6 @@ class ZhipuAIEmbeddings(BaseModel, Embeddings):
             A list of embeddings for each document in the input list.
             Each embedding is represented as a list of float values.
         """
-        resp = self._client.embeddings.create(model=self.model, input=texts)
+        resp = self.client.embeddings.create(model=self.model, input=texts)
         embeddings = [r.embedding for r in resp.data]
         return embeddings