fix: Simplify content for ollama provider

Even though litellm type definitions and openai API specifies content as list of dictionaries (with type and relevant attributes potentially to allow multimodal inputs/outputs in addition to text), ollama has been demonstrating marshal errors. As a workaround this change simplifies the content as string when there is no more than one content part.

Fixes #642, #928, #376

PiperOrigin-RevId: 766890141

src/google/adk/models/lite_llm.py

@@ -196,6 +196,14 @@ def _content_to_message_param(
         content_present = True
 
     final_content = message_content if content_present else None
+    if final_content and isinstance(final_content, list):
+      # when the content is a single text object, we can use it directly.
+      # this is needed for ollama_chat provider which fails if content is a list
+      final_content = (
+          final_content[0].get("text", "")
+          if final_content[0].get("type", None) == "text"
+          else final_content
+      )
 
     return ChatCompletionAssistantMessage(
         role=role,

tests/unittests/models/test_litellm.py

@@ -889,15 +889,16 @@ def test_content_to_message_param_function_call():
   content = types.Content(
       role="assistant",
       parts=[
+          types.Part.from_text(text="test response"),
           types.Part.from_function_call(
               name="test_function", args={"test_arg": "test_value"}
-          )
+          ),
       ],
   )
-  content.parts[0].function_call.id = "test_tool_call_id"
+  content.parts[1].function_call.id = "test_tool_call_id"
   message = _content_to_message_param(content)
   assert message["role"] == "assistant"
-  assert message["content"] == None
+  assert message["content"] == "test response"
 
   tool_call = message["tool_calls"][0]
   assert tool_call["type"] == "function"