Add support for response_cost for LiteLLM model for non streaming response

src/google/adk/models/lite_llm.py

@@ -403,11 +403,16 @@ def _model_response_to_generate_content_response(
 
   if not message:
     raise ValueError("No message in response")
-  return _message_to_generate_content_response(message)
+
+  response_cost = None
+  if hasattr(response, "_hidden_params") and isinstance(response._hidden_params, dict):
+      response_cost = response._hidden_params.get("response_cost")
+
+  return _message_to_generate_content_response(message, response_cost=response_cost)
 
 
 def _message_to_generate_content_response(
-    message: Message, is_partial: bool = False
+    message: Message, is_partial: bool = False, response_cost: float = None
 ) -> LlmResponse:
   """Converts a litellm message to LlmResponse.
 
@@ -434,7 +439,9 @@ def _message_to_generate_content_response(
         parts.append(part)
 
   return LlmResponse(
-      content=types.Content(role="model", parts=parts), partial=is_partial
+      content=types.Content(role="model", parts=parts), 
+      partial=is_partial, 
+      response_cost=response_cost
   )
 
 
@@ -611,7 +618,7 @@ async def generate_content_async(
       LlmResponse: The model response.
     """
 
-    logger.info(_build_request_log(llm_request))
+    # logger.info(_build_request_log(llm_request))
 
     messages, tools = _get_completion_inputs(llm_request)
 

src/google/adk/models/llm_response.py

@@ -71,6 +71,7 @@ class LlmResponse(BaseModel):
   """Flag indicating that LLM was interrupted when generating the content.
   Usually it's due to user interruption during a bidi streaming.
   """
+  response_cost: Optional[float] = None
 
   custom_metadata: Optional[dict[str, Any]] = None
   """The custom metadata of the LlmResponse.