diff --git a/livekit-plugins/livekit-plugins-sarvam/livekit/plugins/sarvam/stt.py b/livekit-plugins/livekit-plugins-sarvam/livekit/plugins/sarvam/stt.py
index 70951938cf..3d8036138e 100644
--- a/livekit-plugins/livekit-plugins-sarvam/livekit/plugins/sarvam/stt.py
+++ b/livekit-plugins/livekit-plugins-sarvam/livekit/plugins/sarvam/stt.py
@@ -20,9 +20,13 @@
 from __future__ import annotations
 
 import asyncio
+import enum
+import json
 import os
+import weakref
 from dataclasses import dataclass
 from typing import Literal
+from urllib.parse import urlencode
 
 import aiohttp
 
@@ -36,16 +40,29 @@
     stt,
     utils,
 )
-from livekit.agents.types import NOT_GIVEN, NotGivenOr
+from livekit.agents.types import NOT_GIVEN, NotGiven, NotGivenOr
 from livekit.agents.utils import AudioBuffer
 
 from .log import logger
 
 # Sarvam API details
 SARVAM_STT_BASE_URL = "https://api.sarvam.ai/speech-to-text"
+SARVAM_STT_STREAMING_URL = "wss://api.sarvam.ai/speech-to-text/ws"
+SARVAM_STT_TRANSLATE_BASE_URL = "https://api.sarvam.ai/speech-to-text-translate"
+SARVAM_STT_TRANSLATE_STREAMING_URL = "wss://api.sarvam.ai/speech-to-text-translate/ws"
 
-# Supported Sarvam models
-SarvamSTTModels = Literal["saarika:v1", "saarika:v2", "saarika:flash", "saarika:v2.5"]
+# Models
+SarvamSTTModels = Literal["saarika:v2.5", "saarika:v2.0", "saaras:v2.5"]
+
+
+class ConnectionState(enum.Enum):
+    """WebSocket connection states."""
+
+    DISCONNECTED = "disconnected"
+    CONNECTING = "connecting"
+    CONNECTED = "connected"
+    RECONNECTING = "reconnecting"
+    FAILED = "failed"
 
 
 @dataclass
@@ -55,14 +72,80 @@ class SarvamSTTOptions:
     Args:
         language: BCP-47 language code, e.g., "hi-IN", "en-IN"
         model: The Sarvam STT model to use
-        api_key: Sarvam.ai API key
-        base_url: API endpoint URL
+        base_url: API endpoint URL (auto-determined from model if not provided)
+        streaming_url: WebSocket streaming URL (auto-determined from model if not provided)
+        prompt: Optional prompt for STT translate (saaras models only)
     """
 
     language: str  # BCP-47 language code, e.g., "hi-IN", "en-IN"
     api_key: str
     model: SarvamSTTModels | str = "saarika:v2.5"
-    base_url: str = SARVAM_STT_BASE_URL
+    base_url: str | None = None
+    streaming_url: str | None = None
+    prompt: str | None = None  # Optional prompt for STT translate (saaras models only)
+
+    def __post_init__(self) -> None:
+        """Set URLs based on model if not explicitly provided."""
+        if self.base_url is None or self.streaming_url is None:
+            base_url, streaming_url = _get_urls_for_model(self.model)
+            if self.base_url is None:
+                self.base_url = base_url
+            if self.streaming_url is None:
+                self.streaming_url = streaming_url
+
+
+def _get_option_value(default_value: str, override_value: NotGivenOr[str]) -> str | NotGiven:
+    """Helper to get option value with NOT_GIVEN handling."""
+    return default_value if isinstance(override_value, type(NOT_GIVEN)) else override_value
+
+
+def _get_urls_for_model(model: str) -> tuple[str, str]:
+    """Get base URL and streaming URL based on model type.
+
+    Args:
+        model: The Sarvam model name
+
+    Returns:
+        Tuple of (base_url, streaming_url)
+    """
+    if model.startswith("saaras:"):
+        return SARVAM_STT_TRANSLATE_BASE_URL, SARVAM_STT_TRANSLATE_STREAMING_URL
+    else:  # saarika models
+        return SARVAM_STT_BASE_URL, SARVAM_STT_STREAMING_URL
+
+
+def _calculate_audio_duration(
+    buffer: AudioBuffer,
+) -> float:  # TODO: Copied from livekit/agents/utils/audio.py, check if it can be reused
+    """Calculate audio duration from buffer."""
+    try:
+        if isinstance(buffer, list):
+            # Calculate total duration from all frames
+            total_samples = sum(frame.samples_per_channel for frame in buffer)
+            if buffer and total_samples > 0:
+                sample_rate = buffer[0].sample_rate
+                return total_samples / sample_rate
+        elif hasattr(buffer, "duration"):
+            return buffer.duration / 1000.0  # buffer.duration is in ms
+        elif hasattr(buffer, "samples_per_channel") and hasattr(buffer, "sample_rate"):
+            # Single AudioFrame
+            return buffer.samples_per_channel / buffer.sample_rate
+    except Exception as e:
+        logger.warning(f"Could not calculate audio duration: {e}")
+    return 0.0
+
+
+def _build_websocket_url(
+    base_url: str, language: str, model: str, prompt: str | None = None
+) -> str:
+    """Build WebSocket URL with parameters."""
+    params = {
+        "language-code": language,
+        "model": model,
+        "vad_signals": "true",
+    }
+
+    return f"{base_url}?{urlencode(params)}"
 
 
 class STT(stt.STT):
@@ -77,18 +160,20 @@ class STT(stt.STT):
         api_key: Sarvam.ai API key (falls back to SARVAM_API_KEY env var)
         base_url: API endpoint URL
         http_session: Optional aiohttp session to use
+        prompt: Optional prompt for STT translate (saaras models only)
     """
 
     def __init__(
         self,
         *,
-        language: str,
+        language: str = "en-IN",
         model: SarvamSTTModels | str = "saarika:v2.5",
         api_key: str | None = None,
-        base_url: str = SARVAM_STT_BASE_URL,
+        base_url: str | None = None,
         http_session: aiohttp.ClientSession | None = None,
+        prompt: str | None = None,
     ) -> None:
-        super().__init__(capabilities=stt.STTCapabilities(streaming=False, interim_results=False))
+        super().__init__(capabilities=stt.STTCapabilities(streaming=True, interim_results=True))
 
         self._api_key = api_key or os.environ.get("SARVAM_API_KEY")
         if not self._api_key:
@@ -99,12 +184,14 @@ def __init__(
 
         self._opts = SarvamSTTOptions(
             language=language,
-            model=model,
             api_key=self._api_key,
+            model=model,
             base_url=base_url,
+            prompt=prompt,
         )
         self._session = http_session
         self._logger = logger.getChild(self.__class__.__name__)
+        self._streams = weakref.WeakSet[SpeechStream]()
 
     @property
     def model(self) -> str:
@@ -159,9 +246,13 @@ async def _recognize_impl(
         if opts_model:
             form_data.add_field("model", str(opts_model))
 
-        headers = {"api-subscription-key": self._opts.api_key}
+        if self._api_key is None:
+            raise ValueError("API key cannot be None")
+        headers = {"api-subscription-key": self._api_key}
 
         try:
+            if self._opts.base_url is None:
+                raise ValueError("base_url cannot be None")
             async with self._ensure_session().post(
                 url=self._opts.base_url,
                 data=form_data,
@@ -203,27 +294,7 @@ async def _recognize_impl(
 
                 # If start/end times are still 0, use buffer duration as an estimate for end_time
                 if start_time == 0.0 and end_time == 0.0:
-                    # Calculate duration from buffer - AudioBuffer can be list[AudioFrame]
-                    # or AudioFrame
-                    try:
-                        if isinstance(buffer, list):
-                            # Calculate total duration from all frames
-                            total_samples = sum(frame.samples_per_channel for frame in buffer)
-                            if buffer and total_samples > 0:
-                                sample_rate = buffer[0].sample_rate
-                                end_time = total_samples / sample_rate
-                        elif hasattr(buffer, "duration"):
-                            end_time = buffer.duration / 1000.0  # buffer.duration is in ms
-                        elif hasattr(buffer, "samples_per_channel") and hasattr(
-                            buffer, "sample_rate"
-                        ):
-                            # Single AudioFrame
-                            end_time = buffer.samples_per_channel / buffer.sample_rate
-                    except Exception as duration_error:
-                        self._logger.warning(
-                            f"Could not calculate audio duration: {duration_error}"
-                        )
-                        end_time = 0.0
+                    end_time = _calculate_audio_duration(buffer)
 
                 alternatives = [
                     stt.SpeechData(
@@ -250,3 +321,674 @@ async def _recognize_impl(
         except Exception as e:
             self._logger.error(f"Error during Sarvam STT processing: {e}")
             raise APIConnectionError(f"Unexpected error in Sarvam STT: {e}") from e
+
+    def stream(
+        self,
+        *,
+        language: NotGivenOr[str] = NOT_GIVEN,
+        model: NotGivenOr[SarvamSTTModels | str] = NOT_GIVEN,
+        conn_options: APIConnectOptions = DEFAULT_API_CONNECT_OPTIONS,
+        prompt: NotGivenOr[str] = NOT_GIVEN,
+    ) -> SpeechStream:
+        """Create a streaming transcription session."""
+        opts_language = _get_option_value(self._opts.language, language)
+        opts_model = _get_option_value(self._opts.model, model)
+
+        if not isinstance(opts_language, str):
+            opts_language = self._opts.language
+        if not isinstance(opts_model, str):
+            opts_model = self._opts.model
+
+        # Handle prompt conversion from NotGiven to None
+        final_prompt: str | None
+        if isinstance(prompt, str):
+            final_prompt = prompt
+        else:
+            final_prompt = self._opts.prompt
+
+        # Create options for the stream
+        stream_opts = SarvamSTTOptions(
+            language=opts_language,
+            api_key=self._api_key if self._api_key else "",
+            model=opts_model,
+            prompt=final_prompt,
+        )
+
+        # Create a fresh session for this stream to avoid conflicts
+        stream_session = aiohttp.ClientSession()
+
+        if self._api_key is None:
+            raise ValueError("API key cannot be None")
+        stream = SpeechStream(
+            stt=self,
+            opts=stream_opts,
+            conn_options=conn_options,
+            api_key=self._api_key,
+            http_session=stream_session,
+        )
+        self._streams.add(stream)
+        return stream
+
+
+class SpeechStream(stt.SpeechStream):
+    """Sarvam.ai streaming speech-to-text implementation."""
+
+    _END_OF_STREAM_MSG: str = json.dumps(
+        {
+            "type": "end_of_stream",
+            "audio": {
+                "data": "",  # Empty audio data for end-of-stream
+                "encoding": "audio/wav",
+                "sample_rate": 16000,
+            },
+        }
+    )
+
+    def __init__(
+        self,
+        *,
+        stt: STT,
+        opts: SarvamSTTOptions,
+        conn_options: APIConnectOptions,
+        api_key: str,
+        http_session: aiohttp.ClientSession,
+    ) -> None:
+        super().__init__(stt=stt, conn_options=conn_options, sample_rate=16000)
+        self._opts = opts
+        self._api_key = api_key
+        self._session = http_session
+        self._speaking = False
+        self._logger = logger.getChild(self.__class__.__name__)
+        self._reconnect_event = asyncio.Event()
+
+        # Connection state management
+        self._connection_state = ConnectionState.DISCONNECTED
+        self._connection_lock = asyncio.Lock()
+        self._session_id = id(self)
+
+        # Add flush mechanism
+        self._ws: aiohttp.ClientWebSocketResponse | None = (
+            None  # Store WebSocket reference for flush
+        )
+        self._should_flush = False  # Flag to trigger flush
+
+        # Task management for cleanup
+        self._audio_task: asyncio.Task | None = None
+        self._message_task: asyncio.Task | None = None
+
+    async def aclose(self) -> None:
+        """Close the stream and clean up resources."""
+        self._logger.debug("Starting stream cleanup", extra={"session_id": self._session_id})
+
+        async with self._connection_lock:
+            self._connection_state = ConnectionState.DISCONNECTED
+
+        # Cancel running tasks first
+        tasks_to_cancel = []
+        if self._audio_task and not self._audio_task.done():
+            tasks_to_cancel.append(self._audio_task)
+        if self._message_task and not self._message_task.done():
+            tasks_to_cancel.append(self._message_task)
+
+        if tasks_to_cancel:
+            try:
+                await utils.aio.cancel_and_wait(*tasks_to_cancel)
+            except Exception as e:
+                self._logger.warning(
+                    f"Error cancelling tasks: {e}",
+                    extra={"session_id": self._session_id},
+                )
+
+        # Close WebSocket
+        try:
+            if self._ws and not self._ws.closed:
+                await self._ws.close()
+                self._logger.debug("WebSocket closed", extra={"session_id": self._session_id})
+        except Exception as e:
+            self._logger.warning(
+                f"Error closing WebSocket: {e}", extra={"session_id": self._session_id}
+            )
+        finally:
+            self._ws = None
+
+        # Call parent cleanup
+        try:
+            await super().aclose()
+        except Exception as e:
+            self._logger.warning(
+                f"Error in parent cleanup: {e}", extra={"session_id": self._session_id}
+            )
+
+        # Close session last
+        try:
+            if self._session and not self._session.closed:
+                await self._session.close()
+                self._logger.debug("HTTP session closed", extra={"session_id": self._session_id})
+        except Exception as e:
+            self._logger.warning(
+                f"Error closing session: {e}", extra={"session_id": self._session_id}
+            )
+        finally:
+            # Clear reference to help with garbage collection
+            pass  # Session reference will be cleared when object is destroyed
+
+    def update_options(self, *, language: str, model: str, prompt: str | None = None) -> None:
+        """Update streaming options."""
+        if not language or not language.strip():
+            raise ValueError("Language cannot be empty")
+        if not model or not model.strip():
+            raise ValueError("Model cannot be empty")
+
+        self._opts.language = language
+        self._opts.model = model
+        if prompt is not None:
+            self._opts.prompt = prompt
+        self._logger.info(
+            "Options updated, triggering reconnection",
+            extra={
+                "session_id": self._session_id,
+                "language": language,
+                "model": model,
+                "prompt": prompt,
+            },
+        )
+        self._reconnect_event.set()
+
+    async def _send_initial_config(self, ws: aiohttp.ClientWebSocketResponse) -> None:
+        """Send initial configuration message with prompt for saaras models."""
+        try:
+            config_message = {"prompt": self._opts.prompt, "type": "config"}
+            await ws.send_str(json.dumps(config_message))
+            self._logger.debug(
+                "Sent initial config for saaras model",
+                extra={"session_id": self._session_id, "prompt": self._opts.prompt},
+            )
+        except Exception as e:
+            self._logger.error(
+                f"Failed to send initial configuration: {e}",
+                extra={"session_id": self._session_id},
+                exc_info=True,
+            )
+            raise APIConnectionError(f"Failed to send initial config: {e}") from e
+
+    async def _run(self) -> None:
+        """Main streaming loop with WebSocket connection."""
+        num_retries = 0
+        max_retries = getattr(self._conn_options, "max_retry_count", 3)
+
+        while num_retries <= max_retries:
+            try:
+                await self._run_connection()
+                break  # Success, exit retry loop
+
+            except (
+                aiohttp.ClientConnectorError,
+                asyncio.TimeoutError,
+            ) as e:  # TODO: Check if retry should happen for every Exception type
+                if num_retries == max_retries:
+                    async with self._connection_lock:
+                        self._connection_state = ConnectionState.FAILED
+                    raise APIConnectionError(
+                        f"Failed to connect to STT WebSocket after {max_retries} attempts"
+                    ) from e
+
+                # Exponential backoff with jitter, max 30 seconds
+                retry_interval = min(2**num_retries + (num_retries * 0.1), 30)
+                async with self._connection_lock:
+                    self._connection_state = ConnectionState.RECONNECTING
+
+                self._logger.warning(
+                    f"Connection failed, retrying in {retry_interval:.1f}s",
+                    extra={
+                        "session_id": self._session_id,
+                        "attempt": num_retries + 1,
+                        "max_retries": max_retries + 1,
+                        "error": str(e),
+                    },
+                )
+                await asyncio.sleep(retry_interval)
+                num_retries += 1
+
+            except Exception as e:
+                async with self._connection_lock:
+                    self._connection_state = ConnectionState.FAILED
+                self._logger.error(
+                    f"Unrecoverable error in WebSocket connection: {e}",
+                    extra={"session_id": self._session_id},
+                    exc_info=True,
+                )
+                raise APIConnectionError(f"WebSocket connection failed: {e}") from e
+
+    async def _run_connection(self) -> None:
+        """Run a single WebSocket connection attempt."""
+        # Check if session is still valid
+        if self._session.closed:
+            raise APIConnectionError("Session is closed, cannot establish WebSocket connection")
+
+        async with self._connection_lock:
+            self._connection_state = ConnectionState.CONNECTING
+
+        # Build WebSocket URL with parameters
+        if self._opts.streaming_url is None:
+            raise ValueError("streaming_url cannot be None")
+        ws_url = _build_websocket_url(
+            self._opts.streaming_url,
+            self._opts.language,
+            self._opts.model,
+            self._opts.prompt,
+        )
+
+        # Connect to WebSocket with proper authentication
+        headers = {"api-subscription-key": self._api_key}
+
+        self._logger.info(
+            "Connecting to STT WebSocket",
+            extra={"session_id": self._session_id, "url": ws_url},
+        )
+
+        ws = await asyncio.wait_for(
+            self._session.ws_connect(ws_url, headers=headers),
+            self._conn_options.timeout,
+        )
+
+        # Store WebSocket reference for cleanup - ensure it's always cleaned up
+        self._ws = ws
+
+        async with self._connection_lock:
+            self._connection_state = ConnectionState.CONNECTED
+
+        self._logger.info(
+            "WebSocket connected successfully", extra={"session_id": self._session_id}
+        )
+
+        # Send initial configuration message for saaras models (STT translate)
+        if self._opts.model.startswith("saaras") and self._opts.prompt:
+            await self._send_initial_config(ws)
+
+        # Create tasks for audio processing and message handling
+        self._audio_task = asyncio.create_task(self._process_audio(ws))
+        self._message_task = asyncio.create_task(self._process_messages(ws))
+
+        # Wait for both tasks to complete or reconnection event
+        tasks = [self._audio_task, self._message_task]
+        reconnect_task = asyncio.create_task(self._reconnect_event.wait())
+
+        try:
+            done, pending = await asyncio.wait(
+                tasks + [reconnect_task],
+                return_when=asyncio.FIRST_COMPLETED,
+            )
+
+            # Check if reconnection was requested
+            if reconnect_task in done:
+                self._logger.info(
+                    "Reconnection requested, closing current connection",
+                    extra={"session_id": self._session_id},
+                )
+                self._reconnect_event.clear()
+                return
+
+            # Cancel remaining tasks using LiveKit's utility
+            if pending:
+                await utils.aio.cancel_and_wait(*pending)
+
+            # Check for exceptions in completed tasks
+            for task in done:
+                if task != reconnect_task:
+                    exc = task.exception()
+                    if exc is not None:
+                        if isinstance(exc, BaseException):
+                            raise exc
+                        else:
+                            raise RuntimeError(f"Task failed with non-BaseException: {exc}")
+
+        finally:
+            # Clean up tasks
+            all_tasks = tasks + [reconnect_task]
+            await utils.aio.cancel_and_wait(*all_tasks)
+
+            # Close WebSocket
+            try:
+                if ws and not ws.closed:
+                    await ws.close()
+            except Exception as e:
+                self._logger.warning(
+                    f"Error closing WebSocket: {e}",
+                    extra={"session_id": self._session_id},
+                )
+
+    @utils.log_exceptions(logger=logger)
+    async def _process_audio(self, ws: aiohttp.ClientWebSocketResponse) -> None:
+        """Process audio frames and send them in chunks."""
+        import base64
+
+        import numpy as np
+
+        # Audio buffering for chunked sending
+        audio_buffer: list[np.int16] = []
+        chunk_size = 16 * 50  # 500ms of audio at 16kHz
+        chunks_sent = 0
+
+        self._logger.debug(
+            "Starting audio processing",
+            extra={"session_id": self._session_id, "chunk_size": chunk_size},
+        )
+
+        try:
+            async for frame in self._input_ch:
+                if isinstance(frame, rtc.AudioFrame):
+                    try:
+                        # Convert audio frame to Int16 data
+                        audio_data = frame.data.tobytes()
+                        audio_array = np.frombuffer(audio_data, dtype=np.int16)
+                        audio_buffer.extend(audio_array)
+
+                        # Check if we have enough data for a chunk
+                        while len(audio_buffer) >= chunk_size:
+                            # Convert to Int16Array
+                            chunk_data = np.array(audio_buffer[:chunk_size], dtype=np.int16)
+
+                            # Convert to base64
+                            base64_audio = base64.b64encode(chunk_data.tobytes()).decode("utf-8")
+
+                            # Send audio in the required format
+                            audio_message = {
+                                "audio": {
+                                    "data": base64_audio,
+                                    "encoding": "audio/wav",
+                                    "sample_rate": 16000,
+                                }
+                            }
+
+                            await ws.send_str(json.dumps(audio_message))
+                            chunks_sent += 1
+
+                            # Remove sent data from buffer
+                            audio_buffer = audio_buffer[chunk_size:]
+
+                            # Log progress periodically
+                            if chunks_sent % 100 == 0:
+                                self._logger.debug(
+                                    f"Sent {chunks_sent} audio chunks",
+                                    extra={"session_id": self._session_id},
+                                )
+
+                    except Exception as e:
+                        self._logger.error(
+                            f"Error processing audio frame: {e}",
+                            extra={"session_id": self._session_id},
+                            exc_info=True,
+                        )
+                        raise
+
+                elif isinstance(frame, self._FlushSentinel):
+                    # LiveKit VAD FlushSentinel - handles stream termination
+                    self._logger.debug(
+                        "Received FlushSentinel, sending end of stream",
+                        extra={"session_id": self._session_id},
+                    )
+                    await ws.send_str(self._END_OF_STREAM_MSG)
+                    break
+
+                # Check if Sarvam VAD triggered flush
+                if self._should_flush:
+                    self._logger.debug(
+                        "VAD triggered flush, sending flush message",
+                        extra={"session_id": self._session_id},
+                    )
+                    flush_message = {"type": "flush"}
+                    await ws.send_str(json.dumps(flush_message))
+                    self._should_flush = False  # Reset flag
+
+        except Exception as e:
+            self._logger.error(
+                f"Error in audio processing: {e}",
+                extra={"session_id": self._session_id, "chunks_sent": chunks_sent},
+                exc_info=True,
+            )
+            raise
+        finally:
+            self._logger.debug(
+                f"Audio processing completed, sent {chunks_sent} chunks",
+                extra={"session_id": self._session_id},
+            )
+
+    @utils.log_exceptions(logger=logger)
+    async def _process_messages(self, ws: aiohttp.ClientWebSocketResponse) -> None:
+        """Process incoming messages from the WebSocket."""
+        self._logger.info(
+            "Starting message processing",
+            extra={"session_id": self._session_id, "ws_closed": ws.closed},
+        )
+
+        try:
+            async for msg in ws:
+                if msg.type == aiohttp.WSMsgType.TEXT:
+                    try:
+                        data = json.loads(msg.data)
+                        await self._handle_message(data)
+                    except json.JSONDecodeError as e:
+                        self._logger.warning(
+                            "Invalid JSON received from WebSocket",
+                            extra={
+                                "session_id": self._session_id,
+                                "raw_data": msg.data,
+                                "error": str(e),
+                            },
+                        )
+                        continue  # Skip malformed message
+                    except Exception as e:
+                        self._logger.error(
+                            "Error processing WebSocket message",
+                            extra={"session_id": self._session_id, "error": str(e)},
+                            exc_info=True,
+                        )
+                        # Re-raise unexpected errors as they might indicate serious issues
+                        raise APIStatusError(f"Message processing error: {e}") from e
+
+                elif msg.type == aiohttp.WSMsgType.ERROR:
+                    error_msg = f"WebSocket error: {ws.exception()}"
+                    self._logger.error(error_msg, extra={"session_id": self._session_id})
+                    raise APIConnectionError(error_msg)
+
+                elif msg.type in (
+                    aiohttp.WSMsgType.CLOSED,
+                    aiohttp.WSMsgType.CLOSE,
+                    aiohttp.WSMsgType.CLOSING,
+                ):
+                    self._logger.info(
+                        f"WebSocket closed: {msg.type}",
+                        extra={"session_id": self._session_id},
+                    )
+                    break
+
+                else:
+                    self._logger.debug(
+                        f"Unknown WebSocket message type: {msg.type}",
+                        extra={"session_id": self._session_id},
+                    )
+
+        except Exception as e:
+            self._logger.error(
+                f"Error in message processing loop: {e}",
+                extra={"session_id": self._session_id},
+                exc_info=True,
+            )
+            raise
+
+    async def _handle_message(self, data: dict) -> None:
+        """Handle different types of messages from Sarvam streaming API."""
+        try:
+            msg_type = data.get("type")
+            if not msg_type:
+                self._logger.warning(
+                    "Received message without type field",
+                    extra={"session_id": self._session_id, "data": data},
+                )
+                return
+
+            if msg_type == "data":
+                await self._handle_transcript_data(data)
+            elif msg_type == "events":
+                await self._handle_events(data)
+            elif msg_type == "error":
+                await self._handle_error_message(data)
+            else:
+                self._logger.debug(
+                    f"Unknown message type: {msg_type}",
+                    extra={"session_id": self._session_id, "data": data},
+                )
+
+        except KeyError as e:
+            self._logger.warning(
+                f"Missing required field in message: {e}",
+                extra={"session_id": self._session_id, "data": data},
+            )
+        except Exception as e:
+            self._logger.error(
+                f"Unexpected error handling message: {e}",
+                extra={"session_id": self._session_id, "data": data},
+                exc_info=True,
+            )
+            raise APIStatusError(f"Message processing error: {e}") from e
+
+    async def _handle_transcript_data(self, data: dict) -> None:
+        """Handle transcription result messages."""
+        transcript_data = data.get("data", {})
+        transcript_text = transcript_data.get("transcript", "")
+        language = transcript_data.get("language_code", "")
+        request_id = transcript_data.get("request_id", "")
+
+        if not transcript_text:
+            self._logger.debug("Received empty transcript", extra={"session_id": self._session_id})
+            return
+
+        try:
+            # Create usage event with proper metrics extraction
+            metrics = transcript_data.get("metrics", {})
+            request_data = {
+                "original_id": request_id,
+                "processing_latency": metrics.get("processing_latency", 0.0),
+            }
+            usage_event = stt.SpeechEvent(
+                type=stt.SpeechEventType.RECOGNITION_USAGE,
+                request_id=json.dumps(request_data),
+                recognition_usage=stt.RecognitionUsage(
+                    audio_duration=metrics.get("audio_duration", 0.0),
+                ),
+            )
+            self._event_ch.send_nowait(usage_event)
+
+            # Create speech data
+            speech_data = stt.SpeechData(
+                language=language,
+                text=transcript_text,
+            )
+
+            # Create final transcript event with request_id
+            speech_event = stt.SpeechEvent(
+                type=stt.SpeechEventType.FINAL_TRANSCRIPT,
+                request_id=request_id,
+                alternatives=[speech_data],
+            )
+            self._event_ch.send_nowait(speech_event)
+
+            self._logger.debug(
+                "Transcript processed successfully",
+                extra={
+                    "session_id": self._session_id,
+                    "text_length": len(transcript_text),
+                    "language": language,
+                    "request_id": request_id,
+                    "confidence": speech_data.confidence,
+                },
+            )
+
+        except Exception as e:
+            self._logger.error(
+                f"Error processing transcript data: {e}",
+                extra={
+                    "session_id": self._session_id,
+                    "transcript_data": transcript_data,
+                },
+                exc_info=True,
+            )
+            raise
+
+    async def _handle_events(self, data: dict) -> None:
+        """Handle VAD (Voice Activity Detection) events."""
+        event_data = data.get("data", {})
+        signal_type = event_data.get("signal_type")
+
+        if not signal_type:
+            self._logger.warning(
+                "VAD event missing signal_type",
+                extra={"session_id": self._session_id, "event_data": event_data},
+            )
+            return
+
+        self._logger.debug(
+            f"Processing VAD event: {signal_type}",
+            extra={"session_id": self._session_id, "signal_type": signal_type},
+        )
+
+        try:
+            if signal_type == "START_SPEECH":
+                if not self._speaking:
+                    self._speaking = True
+                    start_event = stt.SpeechEvent(type=stt.SpeechEventType.START_OF_SPEECH)
+                    self._event_ch.send_nowait(start_event)
+                    self._logger.debug("Speech started", extra={"session_id": self._session_id})
+
+            elif signal_type == "END_SPEECH":
+                if self._speaking:
+                    self._speaking = False
+                    end_event = stt.SpeechEvent(type=stt.SpeechEventType.END_OF_SPEECH)
+                    self._event_ch.send_nowait(end_event)
+
+                    # Set flag to trigger flush when Sarvam detects end of speech
+                    self._should_flush = True
+                    self._logger.debug(
+                        "Speech ended, flush triggered",
+                        extra={"session_id": self._session_id},
+                    )
+            else:
+                self._logger.debug(
+                    f"Unknown VAD signal type: {signal_type}",
+                    extra={"session_id": self._session_id},
+                )
+
+        except Exception as e:
+            self._logger.error(
+                f"Error processing VAD event: {e}",
+                extra={"session_id": self._session_id, "event_data": event_data},
+                exc_info=True,
+            )
+            raise
+
+    async def _handle_error_message(self, data: dict) -> None:
+        """Handle error messages from the API."""
+        error_info = data.get("error", "Unknown error")
+        error_code = data.get("code", "unknown")
+
+        self._logger.error(
+            f"API error received: {error_info}",
+            extra={
+                "session_id": self._session_id,
+                "error_code": error_code,
+                "error_info": error_info,
+            },
+        )
+
+        # Determine if error is recoverable based on error code/type
+        recoverable_codes = ["rate_limit", "temporary_unavailable", "timeout"]
+        recoverable_keywords = ["rate limit", "temporary", "timeout", "connection"]
+
+        is_recoverable = error_code in recoverable_codes or any(
+            keyword in str(error_info).lower() for keyword in recoverable_keywords
+        )
+
+        if is_recoverable:
+            raise APIConnectionError(f"Recoverable API error: {error_info}")
+        else:
+            raise APIStatusError(f"API error: {error_info}")
diff --git a/livekit-plugins/livekit-plugins-sarvam/livekit/plugins/sarvam/tts.py b/livekit-plugins/livekit-plugins-sarvam/livekit/plugins/sarvam/tts.py
index 8b61599778..7a172150b8 100644
--- a/livekit-plugins/livekit-plugins-sarvam/livekit/plugins/sarvam/tts.py
+++ b/livekit-plugins/livekit-plugins-sarvam/livekit/plugins/sarvam/tts.py
@@ -21,7 +21,10 @@
 
 import asyncio
 import base64
+import enum
+import json
 import os
+import weakref
 from dataclasses import dataclass, replace
 from typing import Literal
 
@@ -33,6 +36,7 @@
     APIConnectOptions,
     APIStatusError,
     APITimeoutError,
+    tokenize,
     tts,
     utils,
 )
@@ -40,6 +44,7 @@
 from .log import logger
 
 SARVAM_TTS_BASE_URL = "https://api.sarvam.ai/text-to-speech"
+SARVAM_TTS_WS_URL = "wss://api.sarvam.ai/text-to-speech/ws"
 
 # Sarvam TTS specific models and speakers
 SarvamTTSModels = Literal["bulbul:v2"]
@@ -81,6 +86,15 @@
 }
 
 
+class ConnectionState(enum.Enum):
+    """WebSocket connection states for TTS."""
+
+    DISCONNECTED = "disconnected"
+    CONNECTING = "connecting"
+    CONNECTED = "connected"
+    FAILED = "failed"
+
+
 def validate_model_speaker_compatibility(model: str, speaker: str) -> bool:
     """Validate that the speaker is compatible with the model version."""
     if model not in MODEL_SPEAKER_COMPATIBILITY:
@@ -113,6 +127,8 @@ class SarvamTTSOptions:
         enable_preprocessing: Whether to use text preprocessing
         model: The Sarvam TTS model to use
         base_url: API endpoint URL
+        ws_url: WebSocket endpoint URL
+        word_tokenizer: Tokenizer for processing text
     """
 
     target_language_code: SarvamTTSLanguages | str  # BCP-47 for supported Indian languages
@@ -126,6 +142,9 @@ class SarvamTTSOptions:
     enable_preprocessing: bool = False
     model: SarvamTTSModels | str = "bulbul:v2"  # Default to v2 as it has more recent speakers
     base_url: str = SARVAM_TTS_BASE_URL
+    ws_url: str = SARVAM_TTS_WS_URL
+    word_tokenizer: tokenize.tokenizer.SentenceTokenizer | None = None
+    send_completion_event: bool = True
 
 
 class TTS(tts.TTS):
@@ -146,6 +165,7 @@ class TTS(tts.TTS):
         enable_preprocessing: Whether to use text preprocessing
         api_key: Sarvam.ai API key (required)
         base_url: API endpoint URL
+        ws_url: WebSocket endpoint URL
         http_session: Optional aiohttp session to use
     """
 
@@ -163,10 +183,12 @@ def __init__(
         enable_preprocessing: bool = False,
         api_key: str | None = None,
         base_url: str = SARVAM_TTS_BASE_URL,
+        ws_url: str = SARVAM_TTS_WS_URL,
         http_session: aiohttp.ClientSession | None = None,
+        send_completion_event: bool = True,
     ) -> None:
         super().__init__(
-            capabilities=tts.TTSCapabilities(streaming=False),
+            capabilities=tts.TTSCapabilities(streaming=True),
             sample_rate=speech_sample_rate,
             num_channels=num_channels,
         )
@@ -177,6 +199,24 @@ def __init__(
                 "Sarvam API key is required. Provide it directly or set SARVAM_API_KEY env var."
             )
 
+        # Validate inputs early
+        if not target_language_code or not target_language_code.strip():
+            raise ValueError("Target language code is required and cannot be empty")
+        if not model or not model.strip():
+            raise ValueError("Model is required and cannot be empty")
+        if not speaker or not speaker.strip():
+            raise ValueError("Speaker is required and cannot be empty")
+
+        # Validate parameter ranges
+        if not -20.0 <= pitch <= 20.0:
+            raise ValueError("Pitch must be between -20.0 and 20.0")
+        if not 0.5 <= pace <= 2.0:
+            raise ValueError("Pace must be between 0.5 and 2.0")
+        if not 0.5 <= loudness <= 2.0:
+            raise ValueError("Loudness must be between 0.5 and 2.0")
+        if speech_sample_rate not in [8000, 16000, 22050, 24000]:
+            raise ValueError("Sample rate must be 8000, 16000, 22050, or 24000 Hz")
+
         # Validate model-speaker compatibility
         if not validate_model_speaker_compatibility(model, speaker):
             compatible_speakers = MODEL_SPEAKER_COMPATIBILITY.get(model, {}).get("all", [])
@@ -185,6 +225,9 @@ def __init__(
                 f"Please choose a compatible speaker from: {', '.join(compatible_speakers)}"
             )
 
+        # Initialize word tokenizer for streaming
+        word_tokenizer = tokenize.basic.SentenceTokenizer()
+
         self._opts = SarvamTTSOptions(
             target_language_code=target_language_code,
             model=model,
@@ -196,8 +239,51 @@ def __init__(
             enable_preprocessing=enable_preprocessing,
             api_key=self._api_key,
             base_url=base_url,
+            ws_url=ws_url,
+            word_tokenizer=word_tokenizer,
+            send_completion_event=send_completion_event,
         )
         self._session = http_session
+        self._streams = weakref.WeakSet[SynthesizeStream]()
+
+        self._pool = utils.ConnectionPool[aiohttp.ClientWebSocketResponse](
+            connect_cb=self._connect_ws,
+            close_cb=self._close_ws,
+            max_session_duration=3600,  # 1 hour
+            mark_refreshed_on_get=False,
+        )
+
+    async def _connect_ws(self, timeout: float) -> aiohttp.ClientWebSocketResponse:
+        session = self._ensure_session()
+        headers = {
+            "api-subscription-key": self._opts.api_key,
+            "User-Agent": "LiveKit-Sarvam-TTS/1.0",
+            "Accept": "*/*",
+            "Accept-Encoding": "gzip, deflate, br",
+        }
+        # Add model parameter to URL like the client does
+        ws_url = f"{self._opts.ws_url}?model={self._opts.model}&send_completion_event={self._opts.send_completion_event}"
+
+        logger.info("Connecting to Sarvam TTS WebSocket")
+
+        try:
+            return await asyncio.wait_for(
+                session.ws_connect(
+                    ws_url,
+                    headers=headers,
+                ),
+                timeout,
+            )
+        except Exception as e:
+            logger.error(
+                "Failed to connect to Sarvam TTS WebSocket",
+                extra={"error": str(e), "url": ws_url},
+                exc_info=True,
+            )
+            raise APIConnectionError(f"WebSocket connection failed: {e}") from e
+
+    async def _close_ws(self, ws: aiohttp.ClientWebSocketResponse) -> None:
+        await ws.close()
 
     @property
     def model(self) -> str:
@@ -212,6 +298,59 @@ def _ensure_session(self) -> aiohttp.ClientSession:
             self._session = utils.http_context.http_session()
         return self._session
 
+    def update_options(
+        self,
+        *,
+        model: str | None = None,
+        speaker: str | None = None,
+        pitch: float | None = None,
+        pace: float | None = None,
+        loudness: float | None = None,
+        enable_preprocessing: bool | None = False,
+        send_completion_event: bool | None = True,
+    ) -> None:
+        """Update TTS options with validation."""
+        if model is not None:
+            if not model.strip():
+                raise ValueError("Model cannot be empty")
+            if model not in ["bulbul:v2"]:
+                raise ValueError(f"Unsupported model: {model}")
+            self._opts.model = model
+
+        if speaker is not None:
+            if not speaker.strip():
+                raise ValueError("Speaker cannot be empty")
+            if not validate_model_speaker_compatibility(self._opts.model, speaker):
+                compatible_speakers = MODEL_SPEAKER_COMPATIBILITY.get(self._opts.model, {}).get(
+                    "all", []
+                )
+                raise ValueError(
+                    f"Speaker '{speaker}' incompatible with {self._opts.model}. "
+                    f"Compatible speakers: {', '.join(compatible_speakers)}"
+                )
+            self._opts.speaker = speaker
+
+        if pitch is not None:
+            if not -20.0 <= pitch <= 20.0:
+                raise ValueError("Pitch must be between -20.0 and 20.0")
+            self._opts.pitch = pitch
+
+        if pace is not None:
+            if not 0.5 <= pace <= 2.0:
+                raise ValueError("Pace must be between 0.5 and 2.0")
+            self._opts.pace = pace
+
+        if loudness is not None:
+            if not 0.5 <= loudness <= 2.0:
+                raise ValueError("Loudness must be between 0.5 and 2.0")
+            self._opts.loudness = loudness
+
+        if enable_preprocessing is not None:
+            self._opts.enable_preprocessing = enable_preprocessing
+
+        if send_completion_event is not None:
+            self._opts.send_completion_event = send_completion_event
+
     # Implement the abstract synthesize method
     def synthesize(
         self, text: str, *, conn_options: APIConnectOptions | None = None
@@ -221,6 +360,26 @@ def synthesize(
             conn_options = DEFAULT_API_CONNECT_OPTIONS
         return ChunkedStream(tts=self, input_text=text, conn_options=conn_options)
 
+    def stream(
+        self, *, conn_options: APIConnectOptions = DEFAULT_API_CONNECT_OPTIONS
+    ) -> SynthesizeStream:
+        """Create a streaming TTS session."""
+        stream = SynthesizeStream(tts=self, conn_options=conn_options)
+        self._streams.add(stream)
+        return stream
+
+    def prewarm(self) -> None:
+        """Prewarm WebSocket connections."""
+        self._pool.prewarm()
+
+    async def aclose(self) -> None:
+        """Close all active streams and connections."""
+        for stream in list(self._streams):
+            await stream.aclose()
+
+        self._streams.clear()
+        await self._pool.aclose()
+
 
 class ChunkedStream(tts.ChunkedStream):
     def __init__(self, *, tts: TTS, input_text: str, conn_options: APIConnectOptions) -> None:
@@ -234,7 +393,9 @@ async def _run(self, output_emitter: tts.AudioEmitter) -> None:
             "target_language_code": self._opts.target_language_code,
             "text": self._input_text,
             "speaker": self._opts.speaker,
+            "pitch": self._opts.pitch,
             "pace": self._opts.pace,
+            "loudness": self._opts.loudness,
             "speech_sample_rate": self._opts.speech_sample_rate,
             "enable_preprocessing": self._opts.enable_preprocessing,
             "model": self._opts.model,
@@ -275,7 +436,7 @@ async def _run(self, output_emitter: tts.AudioEmitter) -> None:
                     request_id=request_id or "unknown",
                     sample_rate=self._tts.sample_rate,
                     num_channels=self._tts.num_channels,
-                    mime_type="audio/wav",
+                    mime_type="audio/mp3",
                 )
                 # handle multiple audio chunks
                 for b64 in audios:
@@ -285,3 +446,364 @@ async def _run(self, output_emitter: tts.AudioEmitter) -> None:
             raise APITimeoutError("Sarvam TTS API request timed out") from e
         except aiohttp.ClientError as e:
             raise APIConnectionError(f"Sarvam TTS API connection error: {e}") from e
+
+
+class SynthesizeStream(tts.SynthesizeStream):
+    """WebSocket-based streaming TTS for Sarvam.ai."""
+
+    def __init__(self, *, tts: TTS, conn_options: APIConnectOptions):
+        super().__init__(tts=tts, conn_options=conn_options)
+        self._tts: TTS = tts
+        self._opts = replace(tts._opts)
+        self._segments_ch = utils.aio.Chan[tokenize.SentenceStream]()
+
+        # Connection state management
+        self._connection_state = ConnectionState.DISCONNECTED
+        self._session_id = id(self)
+
+        # Task management for cleanup
+        self._send_task: asyncio.Task | None = None
+        self._recv_task: asyncio.Task | None = None
+        self._ws_conn: aiohttp.ClientWebSocketResponse | None = None
+
+    async def _run(self, output_emitter: tts.AudioEmitter) -> None:
+        request_id = utils.shortuuid()
+        output_emitter.initialize(
+            request_id=request_id,
+            sample_rate=self._opts.speech_sample_rate,
+            num_channels=1,
+            mime_type="audio/mp3",
+            stream=True,
+            frame_size_ms=50,
+        )
+
+        async def _tokenize_input() -> None:
+            """tokenize text from the input_ch to sentences"""
+            word_stream = None
+            async for input in self._input_ch:
+                if isinstance(input, str):
+                    if word_stream is None:
+                        tokenizer_instance: tokenize.tokenizer.SentenceTokenizer
+                        if self._opts.word_tokenizer is None:
+                            # Fallback to basic tokenizer if none provided
+                            tokenizer_instance = tokenize.basic.SentenceTokenizer()
+                        else:
+                            tokenizer_instance = self._opts.word_tokenizer
+                        word_stream = tokenizer_instance.stream()
+                        self._segments_ch.send_nowait(word_stream)
+                    word_stream.push_text(input)
+                elif isinstance(input, self._FlushSentinel):
+                    if word_stream:
+                        word_stream.end_input()
+                    word_stream = None
+
+            if word_stream is not None:
+                word_stream.end_input()
+
+            self._segments_ch.close()
+
+        async def _process_segments() -> None:
+            async for word_stream in self._segments_ch:
+                await self._run_ws(word_stream, output_emitter)
+
+        tasks = [
+            asyncio.create_task(_tokenize_input()),
+            asyncio.create_task(_process_segments()),
+        ]
+        try:
+            await asyncio.gather(*tasks)
+        except asyncio.TimeoutError:
+            raise APITimeoutError() from None
+        except aiohttp.ClientResponseError as e:
+            raise APIStatusError(
+                message=e.message, status_code=e.status, request_id=request_id, body=None
+            ) from None
+        except Exception as e:
+            raise APIConnectionError() from e
+        finally:
+            await utils.aio.gracefully_cancel(*tasks)
+            output_emitter.end_input()
+
+    async def _run_ws(
+        self, word_stream: tokenize.SentenceStream, output_emitter: tts.AudioEmitter
+    ) -> None:
+        segment_id = utils.shortuuid()
+        output_emitter.start_segment(segment_id=segment_id)
+
+        logger.info("Starting TTS WebSocket session", extra=self._build_log_context())
+
+        async def send_task(ws: aiohttp.ClientWebSocketResponse) -> None:
+            try:
+                # Send initial config
+                config_msg = {
+                    "type": "config",
+                    "data": {
+                        "target_language_code": self._opts.target_language_code,
+                        "speaker": self._opts.speaker,
+                        "pitch": self._opts.pitch,
+                        "pace": self._opts.pace,
+                        "loudness": self._opts.loudness,
+                        "enable_preprocessing": self._opts.enable_preprocessing,
+                        "model": self._opts.model,
+                    },
+                }
+                logger.debug(
+                    "Sending TTS config", extra={**self._build_log_context(), "config": config_msg}
+                )
+                await ws.send_str(json.dumps(config_msg))
+
+                # Count text chunks sent
+                text_chunks_sent = 0
+                # Send text chunks
+                async for word in word_stream:
+                    text_msg = {"type": "text", "data": {"text": word.token}}
+                    await ws.send_str(json.dumps(text_msg))
+                    text_chunks_sent += 1
+
+                # Send flush signal
+                flush_msg = {"type": "flush"}
+                await ws.send_str(json.dumps(flush_msg))
+
+            except Exception as e:
+                logger.error(
+                    f"Error in send task: {e}", extra=self._build_log_context(), exc_info=True
+                )
+                raise APIConnectionError(f"Send task failed: {e}") from e
+
+        async def recv_task(ws: aiohttp.ClientWebSocketResponse) -> None:
+            try:
+                while True:
+                    msg = await ws.receive(timeout=self._conn_options.timeout)
+
+                    if msg.type in (
+                        aiohttp.WSMsgType.CLOSE,
+                        aiohttp.WSMsgType.CLOSED,
+                        aiohttp.WSMsgType.CLOSING,
+                    ):
+                        logger.info(
+                            "WebSocket connection closed by server", extra=self._build_log_context()
+                        )
+                        break
+
+                    if msg.type == aiohttp.WSMsgType.TEXT:
+                        success = await self._handle_websocket_message(msg.data, output_emitter)
+                        if not success:
+                            break  # Stop processing on error or completion
+
+                    elif msg.type == aiohttp.WSMsgType.ERROR:
+                        error_msg = f"WebSocket error: {msg.data}"
+                        logger.error(error_msg, extra=self._build_log_context())
+                        raise APIConnectionError(error_msg)
+
+            except asyncio.TimeoutError as e:
+                logger.error("WebSocket received timeout", extra=self._build_log_context())
+                raise APITimeoutError("WebSocket receive timeout") from e
+            except Exception as e:
+                logger.error(
+                    f"Error in receive task: {e}", extra=self._build_log_context(), exc_info=True
+                )
+                raise
+
+        # Use connection pool for WebSocket management
+        try:
+            async with self._tts._pool.connection(timeout=self._conn_options.timeout) as ws:
+                self._ws_conn = ws
+                self._connection_state = ConnectionState.CONNECTED
+
+                logger.info("WebSocket connected successfully", extra=self._build_log_context())
+
+                self._send_task = asyncio.create_task(send_task(ws))
+                self._recv_task = asyncio.create_task(recv_task(ws))
+
+                tasks = [self._send_task, self._recv_task]
+
+                try:
+                    await asyncio.gather(*tasks)
+                    logger.info(
+                        "WebSocket session completed successfully", extra=self._build_log_context()
+                    )
+                except Exception as e:
+                    logger.error(
+                        f"WebSocket session failed: {e}",
+                        extra=self._build_log_context(),
+                        exc_info=True,
+                    )
+                    raise
+                finally:
+                    # Gracefully cancel tasks
+                    await utils.aio.gracefully_cancel(*tasks)
+                    self._send_task = None
+                    self._recv_task = None
+
+        except (aiohttp.ClientConnectorError, asyncio.TimeoutError) as e:
+            self._connection_state = ConnectionState.FAILED
+            logger.error(f"Connection failed: {e}", extra=self._build_log_context())
+            raise APIConnectionError(f"Failed to connect to TTS WebSocket: {e}") from e
+        except Exception as e:
+            self._connection_state = ConnectionState.FAILED
+            logger.error(
+                f"Unexpected error in WebSocket session: {e}",
+                extra=self._build_log_context(),
+                exc_info=True,
+            )
+            raise APIStatusError(f"TTS WebSocket session failed: {e}") from e
+        finally:
+            self._connection_state = ConnectionState.DISCONNECTED
+            self._ws_conn = None
+
+    async def _handle_websocket_message(
+        self, msg_data: str, output_emitter: tts.AudioEmitter
+    ) -> bool:
+        """Handle WebSocket message with proper error handling.
+
+        Returns:
+            True if processing should continue, False if stream should end
+        """
+        try:
+            resp = json.loads(msg_data)
+            msg_type = resp.get("type")
+
+            if not msg_type:
+                logger.warning(
+                    "Received message without type field",
+                    extra={**self._build_log_context(), "data": resp},
+                )
+                return True
+
+            logger.debug(f"Processing message type: {msg_type}", extra=self._build_log_context())
+
+            if msg_type == "audio":
+                return await self._handle_audio_message(resp, output_emitter)
+            elif msg_type == "error":
+                await self._handle_error_message(resp)
+                return False  # Stop processing on error
+            elif msg_type == "event":
+                return await self._handle_event_message(resp, output_emitter)
+            else:
+                logger.debug(f"Unknown message type: {msg_type}", extra=self._build_log_context())
+                return True
+
+        except json.JSONDecodeError as e:
+            logger.warning(
+                f"Invalid JSON in WebSocket message: {e}",
+                extra={**self._build_log_context(), "raw_data": msg_data[:200]},
+            )
+            return True  # Continue processing
+        except Exception as e:
+            logger.error(
+                f"Error processing WebSocket message: {e}",
+                extra=self._build_log_context(),
+                exc_info=True,
+            )
+            raise APIStatusError(f"Message processing error: {e}") from e
+
+    async def _handle_audio_message(self, resp: dict, output_emitter: tts.AudioEmitter) -> bool:
+        """Handle audio message with proper error handling."""
+        try:
+            audio_data = resp.get("data", {}).get("audio", "")
+            if not audio_data:
+                logger.debug("Received empty audio data", extra=self._build_log_context())
+                return True
+
+            audio_bytes = base64.b64decode(audio_data)
+            output_emitter.push(audio_bytes)
+
+            return True
+
+        except Exception as e:  # base64 decode error
+            logger.error(f"Invalid base64 audio data: {e}", extra=self._build_log_context())
+            # Don't stop processing for audio decode errors
+            return True
+
+    async def _handle_error_message(self, resp: dict) -> None:
+        """Handle error messages from the API."""
+        error_data = resp.get("data", {})
+        error_msg = error_data.get("message", "Unknown error")
+        error_code = error_data.get("code", "unknown")
+
+        logger.error(
+            f"TTS API error: {error_msg}",
+            extra={
+                **self._build_log_context(),
+                "error_code": error_code,
+                "error_message": error_msg,
+            },
+        )
+
+        # Determine if error is recoverable based on error code/type
+        recoverable_errors = ["rate_limit", "temporary_unavailable", "timeout"]
+        is_recoverable = any(err in str(error_msg).lower() for err in recoverable_errors)
+
+        if is_recoverable:
+            raise APIConnectionError(f"Recoverable TTS API error: {error_msg}")
+        else:
+            raise APIStatusError(message=f"TTS API error: {error_msg}", status_code=500)
+
+    async def _handle_event_message(self, resp: dict, output_emitter: tts.AudioEmitter) -> bool:
+        """Handle event messages from the API."""
+        event_data = resp.get("data", {})
+        event_type = event_data.get("event_type")
+
+        if event_type == "final":
+            logger.debug("Generation complete event received", extra=self._build_log_context())
+            output_emitter.end_input()
+            return False  # Stop processing
+        else:
+            logger.debug(f"Unknown event type: {event_type}", extra=self._build_log_context())
+            return True
+
+    def _build_log_context(self) -> dict:
+        """Build consistent logging context."""
+        return {
+            "session_id": self._session_id,
+            "connection_state": self._connection_state.value,
+            "model": self._opts.model,
+            "speaker": self._opts.speaker,
+        }
+
+    async def aclose(self) -> None:
+        """Close the stream and cleanup resources."""
+        logger.debug("Starting TTS stream cleanup", extra=self._build_log_context())
+
+        self._connection_state = ConnectionState.DISCONNECTED
+
+        # Cancel running tasks first
+        tasks_to_cancel = []
+        for task_attr in ["_send_task", "_recv_task"]:
+            task = getattr(self, task_attr, None)
+            if task and not task.done():
+                tasks_to_cancel.append(task)
+
+        if tasks_to_cancel:
+            for task in tasks_to_cancel:
+                task.cancel()
+            try:
+                await asyncio.gather(*tasks_to_cancel, return_exceptions=True)
+            except Exception as e:
+                logger.warning(f"Error cancelling tasks: {e}", extra=self._build_log_context())
+
+        # Close WebSocket connection
+        if self._ws_conn and not self._ws_conn.closed:
+            try:
+                await self._ws_conn.close()
+                logger.debug("WebSocket connection closed", extra=self._build_log_context())
+            except Exception as e:
+                logger.warning(f"Error closing WebSocket: {e}", extra=self._build_log_context())
+
+        # Close channels
+        for channel_name, channel in [("segments", self._segments_ch), ("input", self._input_ch)]:
+            try:
+                if hasattr(channel, "closed") and not channel.closed:
+                    if hasattr(channel, "close"):
+                        channel.close()
+                    logger.debug(f"{channel_name} channel closed", extra=self._build_log_context())
+            except Exception as e:
+                logger.warning(
+                    f"Error closing {channel_name} channel: {e}", extra=self._build_log_context()
+                )
+
+        # Call parent cleanup
+        try:
+            await super().aclose()
+        except Exception as e:
+            logger.warning(f"Error in parent cleanup: {e}", extra=self._build_log_context())
diff --git a/uv.lock b/uv.lock
index 077565c71c..a8c0425303 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 1
+revision = 3
 requires-python = ">=3.9.0"
 resolution-markers = [
     "python_full_version >= '3.13' and sys_platform == 'darwin'",
@@ -56,6 +56,7 @@ members = [
     "livekit-plugins-playai",
     "livekit-plugins-resemble",
     "livekit-plugins-rime",
+    "livekit-plugins-rtzr",
     "livekit-plugins-sarvam",
     "livekit-plugins-silero",
     "livekit-plugins-simli",
@@ -95,9 +96,9 @@ dependencies = [
     { name = "aiobotocore", extra = ["boto3"] },
     { name = "aiofiles" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/fd/2d/f33d891f5a2122288391a8ba91f7f418b2db96abdb0f92f71d59ac2e145d/aioboto3-14.1.0.tar.gz", hash = "sha256:9d59b536ae8a951b9413ce151bf77df9c7cfe2cbaa2c4c240c066f384305c932", size = 268254 }
+sdist = { url = "https://files.pythonhosted.org/packages/fd/2d/f33d891f5a2122288391a8ba91f7f418b2db96abdb0f92f71d59ac2e145d/aioboto3-14.1.0.tar.gz", hash = "sha256:9d59b536ae8a951b9413ce151bf77df9c7cfe2cbaa2c4c240c066f384305c932", size = 268254, upload-time = "2025-03-04T23:59:25.303Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/41/85/04ba3a451a2aad4af64ddb7744620debc43ea9437eb9224186e31f0c984d/aioboto3-14.1.0-py3-none-any.whl", hash = "sha256:f8547032bc4f90966b22869c1295d890c161549f4e8919f32853571ceb6fd0c6", size = 35551 },
+    { url = "https://files.pythonhosted.org/packages/41/85/04ba3a451a2aad4af64ddb7744620debc43ea9437eb9224186e31f0c984d/aioboto3-14.1.0-py3-none-any.whl", hash = "sha256:f8547032bc4f90966b22869c1295d890c161549f4e8919f32853571ceb6fd0c6", size = 35551, upload-time = "2025-03-04T23:59:23.199Z" },
 ]
 
 [[package]]
@@ -113,9 +114,9 @@ dependencies = [
     { name = "python-dateutil" },
     { name = "wrapt" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/d2/dc/f5f872fb01ce37c09525cedc7ecfad7002ffe2a8a23f77d7d2c234399b51/aiobotocore-2.21.1.tar.gz", hash = "sha256:010357f43004413e92a9d066bb0db1f241aeb29ffed306e9197061ffc94e6577", size = 108900 }
+sdist = { url = "https://files.pythonhosted.org/packages/d2/dc/f5f872fb01ce37c09525cedc7ecfad7002ffe2a8a23f77d7d2c234399b51/aiobotocore-2.21.1.tar.gz", hash = "sha256:010357f43004413e92a9d066bb0db1f241aeb29ffed306e9197061ffc94e6577", size = 108900, upload-time = "2025-03-04T18:30:58.945Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/95/67/026598918f92145156f2feb7957f57daefda20375cc2ac1a0692a9b8010b/aiobotocore-2.21.1-py3-none-any.whl", hash = "sha256:bd7c49a6d6f8a3d9444b0a94417c8da13813b5c7eec1c4f0ec2db7e8ce8f23e7", size = 78313 },
+    { url = "https://files.pythonhosted.org/packages/95/67/026598918f92145156f2feb7957f57daefda20375cc2ac1a0692a9b8010b/aiobotocore-2.21.1-py3-none-any.whl", hash = "sha256:bd7c49a6d6f8a3d9444b0a94417c8da13813b5c7eec1c4f0ec2db7e8ce8f23e7", size = 78313, upload-time = "2025-03-04T18:30:56.493Z" },
 ]
 
 [package.optional-dependencies]
@@ -127,18 +128,18 @@ boto3 = [
 name = "aiofiles"
 version = "24.1.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247 }
+sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247, upload-time = "2024-06-24T11:02:03.584Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/a5/45/30bb92d442636f570cb5651bc661f52b610e2eec3f891a5dc3a4c3667db0/aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5", size = 15896, upload-time = "2024-06-24T11:02:01.529Z" },
 ]
 
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760 }
+sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
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 [[package]]
@@ -155,93 +156,93 @@ dependencies = [
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 [[package]]
@@ -2055,6 +2056,7 @@ dependencies = [
 [package.optional-dependencies]
 realtime = [
     { name = "aws-sdk-bedrock-runtime", marker = "python_full_version >= '3.12'" },
+    { name = "aws-sdk-signers", marker = "python_full_version >= '3.12'" },
     { name = "boto3" },
 ]
 
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+[[package]]
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+source = { editable = "livekit-plugins/livekit-plugins-rtzr" }
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 source = { editable = "livekit-plugins/livekit-plugins-sarvam" }
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