diff --git a/src/pipecat/services/ai_services.py b/src/pipecat/services/ai_services.py
index 817af145f..a4e9fd4d6 100644
--- a/src/pipecat/services/ai_services.py
+++ b/src/pipecat/services/ai_services.py
@@ -22,6 +22,7 @@ from pipecat.frames.frames import (
     TTSSpeakFrame,
     TTSVoiceUpdateFrame,
     TextFrame,
+    UserImageRequestFrame,
     VisionImageRawFrame
 )
 from pipecat.processors.async_frame_processor import AsyncFrameProcessor
@@ -143,6 +144,10 @@ class LLMService(AIService):
         elif None in self._start_callbacks.keys():
             return await self._start_callbacks[None](self, context, function_name)
 
+    async def request_image_frame(self, user_id: str, *, text_content: str | None = None):
+        await self.push_frame(UserImageRequestFrame(user_id=user_id, context=text_content),
+                              FrameDirection.UPSTREAM)
+
 
 class TTSService(AIService):
     def __init__(
diff --git a/src/pipecat/services/anthropic.py b/src/pipecat/services/anthropic.py
index 76cdaef2c..f8c21f4e5 100644
--- a/src/pipecat/services/anthropic.py
+++ b/src/pipecat/services/anthropic.py
@@ -240,10 +240,6 @@ class AnthropicLLMService(LLMService):
         if context:
             await self._process_context(context)
 
-    async def request_image_frame(self, user_id: str, *, text_content: str = None):
-        await self.push_frame(UserImageRequestFrame(user_id=user_id, context=text_content),
-                              FrameDirection.UPSTREAM)
-
     def _estimate_tokens(self, text: str) -> int:
         return int(len(re.split(r'[^\w]+', text)) * 1.3)