fix: OpenAI Vector Model Using Openai Supplier (#2781)

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

@@ -6,18 +6,34 @@
     @date：2024/7/12 17:44
     @desc:
 """
-from typing import Dict
+from typing import Dict, List
 
-from langchain_community.embeddings import OpenAIEmbeddings
+import openai
 
 from setting.models_provider.base_model_provider import MaxKBBaseModel
 
 
-class OpenAIEmbeddingModel(MaxKBBaseModel, OpenAIEmbeddings):
+class OpenAIEmbeddingModel(MaxKBBaseModel):
+    model_name: str
+
+    def __init__(self, api_key, base_url, model_name: str):
+        self.client = openai.OpenAI(api_key=api_key, base_url=base_url).embeddings
+        self.model_name = model_name
+
     @staticmethod
     def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
         return OpenAIEmbeddingModel(
             api_key=model_credential.get('api_key'),
-            model=model_name,
-            openai_api_base=model_credential.get('api_base'),
+            model_name=model_name,
+            base_url=model_credential.get('api_base'),
         )
+
+    def embed_query(self, text: str):
+        res = self.embed_documents([text])
+        return res[0]
+
+    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")
+        return [e.embedding for e in res.data]