feat: add optional parameters to OpenAIEmbeddingModel for enhanced embedding functionality

Author: liuruibin

apps/models_provider/impl/openai_model_provider/model/embedding.py

@@ -15,17 +15,21 @@
 
 class OpenAIEmbeddingModel(MaxKBBaseModel):
     model_name: str
+    optional_params: dict
 
-    def __init__(self, api_key, base_url, model_name: str):
+    def __init__(self, api_key, base_url, model_name: str, optional_params: dict):
         self.client = openai.OpenAI(api_key=api_key, base_url=base_url).embeddings
         self.model_name = model_name
+        self.optional_params = optional_params
 
     @staticmethod
     def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
+        optional_params = MaxKBBaseModel.filter_optional_params(model_kwargs)
         return OpenAIEmbeddingModel(
             api_key=model_credential.get('api_key'),
             model_name=model_name,
             base_url=model_credential.get('api_base'),
+            optional_params=optional_params
         )
 
     def embed_query(self, text: str):
@@ -35,5 +39,12 @@ def embed_query(self, text: str):
     def embed_documents(
             self, texts: List[str], chunk_size: int | None = None
     ) -> List[List[float]]:
-        res = self.client.create(input=texts, model=self.model_name, encoding_format="float")
+        print(self.optional_params)
+        if len(self.optional_params) > 0:
+            res = self.client.create(
+                input=texts, model=self.model_name, encoding_format="float",
+                **self.optional_params
+            )
+        else:
+            res = self.client.create(input=texts, model=self.model_name, encoding_format="float")
         return [e.embedding for e in res.data]