diff --git a/src/pipecat/services/smallest/tts.py b/src/pipecat/services/smallest/tts.py
index eca73a8e0..15d107ffd 100644
--- a/src/pipecat/services/smallest/tts.py
+++ b/src/pipecat/services/smallest/tts.py
@@ -26,7 +26,6 @@ from pipecat.frames.frames import (
     Frame,
     StartFrame,
     TTSAudioRawFrame,
-    TTSStartedFrame,
     TTSStoppedFrame,
 )
 from pipecat.services.settings import NOT_GIVEN, TTSSettings, _NotGiven
@@ -152,8 +151,8 @@ class SmallestTTSService(InterruptibleTTSService):
             default_settings.apply_update(settings)
 
         super().__init__(
-            aggregate_sentences=True,
-            push_text_frames=True,
+            push_stop_frames=True,
+            push_start_frame=True,
             pause_frame_processing=True,
             sample_rate=sample_rate,
             settings=default_settings,
@@ -164,7 +163,6 @@ class SmallestTTSService(InterruptibleTTSService):
         self._base_url = base_url.rstrip("/")
         self._receive_task = None
         self._keepalive_task = None
-        self._context_id: Optional[str] = None
 
     def can_generate_metrics(self) -> bool:
         """Check if this service can generate processing metrics.
@@ -203,15 +201,15 @@ class SmallestTTSService(InterruptibleTTSService):
 
         if self._settings.speed is not None:
             msg["speed"] = self._settings.speed
-        if self._settings.consistency is not None:
-            msg["consistency"] = self._settings.consistency
-        if self._settings.similarity is not None:
-            msg["similarity"] = self._settings.similarity
-        if self._settings.enhancement is not None:
-            msg["enhancement"] = self._settings.enhancement
 
-        if self._context_id:
-            msg["request_id"] = self._context_id
+        # consistency, similarity, enhancement are only supported by lightning-v2
+        if self._settings.model == SmallestTTSModel.LIGHTNING_V2.value:
+            if self._settings.consistency is not None:
+                msg["consistency"] = self._settings.consistency
+            if self._settings.similarity is not None:
+                msg["similarity"] = self._settings.similarity
+            if self._settings.enhancement is not None:
+                msg["enhancement"] = self._settings.enhancement
 
         return msg
 
@@ -322,7 +320,6 @@ class SmallestTTSService(InterruptibleTTSService):
                 error_msg=f"Smallest TTS error closing websocket: {e}", exception=e
             )
         finally:
-            self._context_id = None
             self._websocket = None
             await self._call_event_handler("on_disconnected")
 
@@ -352,6 +349,12 @@ class SmallestTTSService(InterruptibleTTSService):
             msg = {"flush": True}
             await self._websocket.send(json.dumps(msg))
 
+    async def flush_audio(self, context_id: Optional[str] = None):
+        """Flush any pending audio synthesis."""
+        if not self._websocket or self._websocket.state is State.CLOSED:
+            return
+        await self._get_websocket().send(json.dumps({"flush": True}))
+
     async def _receive_messages(self):
         """Receive and process messages from the Smallest WebSocket API."""
         async for message in self._get_websocket():
@@ -359,25 +362,22 @@ class SmallestTTSService(InterruptibleTTSService):
             status = msg.get("status")
 
             if status == "complete":
-                msg_request_id = msg.get("request_id")
-                if self._context_id and msg_request_id and msg_request_id == self._context_id:
-                    await self.stop_all_metrics()
-                    await self.push_frame(TTSStoppedFrame(context_id=self._context_id))
-                    self._context_id = None
+                await self.stop_all_metrics()
             elif status == "chunk":
                 await self.stop_ttfb_metrics()
+                context_id = self.get_active_audio_context_id()
                 frame = TTSAudioRawFrame(
                     audio=base64.b64decode(msg["data"]["audio"]),
                     sample_rate=self.sample_rate,
                     num_channels=1,
-                    context_id=self._context_id,
+                    context_id=context_id,
                 )
-                await self.push_frame(frame)
+                await self.append_to_audio_context(context_id, frame)
             elif status == "error":
-                await self.push_frame(TTSStoppedFrame(context_id=self._context_id))
+                context_id = self.get_active_audio_context_id()
+                await self.push_frame(TTSStoppedFrame(context_id=context_id))
                 await self.stop_all_metrics()
                 await self.push_error(error_msg=f"Smallest TTS error: {msg.get('error', msg)}")
-                self._context_id = None
             else:
                 logger.warning(f"{self} unknown message status: {msg}")
 
@@ -390,7 +390,7 @@ class SmallestTTSService(InterruptibleTTSService):
             context_id: Unique identifier for this TTS context.
 
         Yields:
-            Frame: TTSStartedFrame to signal start; audio arrives via WebSocket.
+            Frame: Audio arrives via WebSocket receive task.
         """
         logger.debug(f"{self}: Generating TTS [{text}]")
 
@@ -399,9 +399,6 @@ class SmallestTTSService(InterruptibleTTSService):
                 await self._connect()
 
             try:
-                self._context_id = context_id
-                yield TTSStartedFrame(context_id=context_id)
-
                 msg = self._build_msg(text=text)
                 await self._get_websocket().send(json.dumps(msg))
                 await self.start_tts_usage_metrics(text)