Update

Author: dirkbrnd

libs/agno/agno/embedder/sentence_transformer.py

@@ -1,5 +1,3 @@
-import platform
-import numpy as np
 from dataclasses import dataclass
 from typing import Dict, List, Optional, Tuple, Union
 
@@ -9,11 +7,10 @@
 try:
     from sentence_transformers import SentenceTransformer
 
-    if platform.system() == "Windows":
-        import numpy as np
 except ImportError:
     raise ImportError("`sentence-transformers` not installed, please run `pip install sentence-transformers`")
 
+
 @dataclass
 class SentenceTransformerEmbedder(Embedder):
     id: str = "sentence-transformers/all-MiniLM-L6-v2"

libs/agno/agno/run/response.py

@@ -207,7 +207,7 @@ def from_dict(cls, data: Dict[str, Any]) -> "RunResponse":
 
         tools = data.pop("tools", None)
         tools = [ToolExecution.from_dict(tool) for tool in tools] if tools else None
-    
+
         images = data.pop("images", None)
         images = [ImageArtifact.model_validate(image) for image in images] if images else None