🐛 The embedding model occasionally has a dimension of 0

Author: Phinease

sdk/nexent/core/models/embedding_model.py

@@ -40,7 +40,7 @@ def get_embeddings(self, inputs: Union[str, List[str]], with_metadata: bool = Fa
         pass
 
     @abstractmethod
-    async def dimension_check(self, timeout: float = 5.0) -> List[List[float]]:
+    async def dimension_check(self, timeout: float = 30.0) -> List[List[float]]:
         """
         Test the connectivity to the embedding API, supporting timeout detection.
 
@@ -183,7 +183,7 @@ def get_multimodal_embeddings(self, inputs: List[Dict[str, str]], with_metadata:
         embeddings = [item["embedding"] for item in response["data"]]
         return embeddings
 
-    async def dimension_check(self, timeout: float = 5.0) -> List[List[float]]:
+    async def dimension_check(self, timeout: float = 30.0) -> List[List[float]]:
         try:
             # Create a simple test input
             test_input = "Hello, nexent!"