LiteLLMModel - detect message flatenning based on model information (#…

…553)

src/smolagents/models.py

@@ -22,6 +22,7 @@
 from copy import deepcopy
 from dataclasses import asdict, dataclass
 from enum import Enum
+from functools import cached_property
 from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
 
 from huggingface_hub import InferenceClient
@@ -799,6 +800,16 @@ def __init__(
         self.api_key = api_key
         self.custom_role_conversions = custom_role_conversions
 
+    @cached_property
+    def _flatten_messages_as_text(self):
+        import litellm
+
+        model_info: dict = litellm.get_model_info(self.model_id)
+        if model_info["litellm_provider"] == "ollama":
+            return model_info["key"] != "llava"
+
+        return False
+
     def __call__(
         self,
         messages: List[Dict[str, str]],
@@ -818,7 +829,7 @@ def __call__(
             api_base=self.api_base,
             api_key=self.api_key,
             convert_images_to_image_urls=True,
-            flatten_messages_as_text=self.model_id.startswith("ollama"),
+            flatten_messages_as_text=self._flatten_messages_as_text,
             custom_role_conversions=self.custom_role_conversions,
             **kwargs,
         )