diff --git a/src/pipecat/services/hailuo.py b/src/pipecat/services/hailuo.py
new file mode 100644
index 000000000..2e4da256e
--- /dev/null
+++ b/src/pipecat/services/hailuo.py
@@ -0,0 +1,195 @@
+from typing import AsyncGenerator, Optional
+import aiohttp
+import json
+from loguru import logger
+from pydantic import BaseModel
+import time
+
+from pipecat.frames.frames import (
+    ErrorFrame,
+    Frame,
+    TTSAudioRawFrame,
+    TTSStartedFrame,
+    TTSStoppedFrame,
+)
+from pipecat.services.ai_services import TTSService
+from pipecat.transcriptions.language import Language
+
+class HailuoHttpTTSService(TTSService):
+    class InputParams(BaseModel):
+        speed: Optional[float] = 1.0
+        volume: Optional[float] = 1.0
+        pitch: Optional[float] = 0
+        
+    def __init__(
+        self,
+        *,
+        api_key: str,
+        group_id: str,
+        model: str = "speech-01-turbo",
+        voice_id: str = "Santa_Claus",
+        sample_rate: int = 24000,
+        params: InputParams = InputParams(),
+        **kwargs,
+    ):
+        super().__init__(sample_rate=sample_rate, **kwargs)
+        
+        self._api_key = api_key
+        self._group_id = group_id
+        self._base_url = f"https://api.minimaxi.chat/v1/t2a_v2?GroupId={group_id}"
+        self._session = None
+        
+        self._settings = {
+            "model": model,
+            "stream": True,
+            "voice_setting": {
+                "voice_id": voice_id,
+                "speed": params.speed,
+                "vol": params.volume,
+                "pitch": params.pitch
+            },
+            "audio_setting": {
+                "sample_rate": sample_rate,
+                "bitrate": 128000,
+                "format": "pcm",
+                "channel": 1
+            }
+        }
+
+    def can_generate_metrics(self) -> bool:
+        return True
+
+    async def _init_session(self):
+        if self._session is None:
+            self._session = aiohttp.ClientSession()
+
+    async def _close_session(self):
+        if self._session:
+            await self._session.close()
+            self._session = None
+
+    async def start(self, frame: Frame):
+        await super().start(frame)
+        await self._init_session()
+
+    async def stop(self, frame: Frame):
+        await super().stop(frame)
+        await self._close_session()
+
+    async def cancel(self, frame: Frame):
+        await super().cancel(frame)
+        await self._close_session()
+
+    async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]:
+        text = text.strip()
+        if not text or text in ['"', "'", ']', '[']:
+            logger.debug(f"Skipping invalid text for TTS: [{text}]")
+            return
+            
+        logger.debug(f"Generating TTS: [{text}]")
+        start_time = time.time()
+
+        try:
+            await self._init_session()
+            await self.start_ttfb_metrics()
+            yield TTSStartedFrame()
+
+            headers = {
+                'accept': 'application/json, text/plain, */*',
+                'Content-Type': 'application/json',
+                'Authorization': f'Bearer {self._api_key}'
+            }
+
+            payload = {
+                "model": self._settings["model"],
+                "text": text,
+                "stream": True,
+                "voice_setting": self._settings["voice_setting"],
+                "audio_setting": self._settings["audio_setting"]
+            }
+
+            async with self._session.post(
+                self._base_url,
+                headers=headers,
+                json=payload
+            ) as response:
+                if response.status != 200:
+                    error_text = await response.text()
+                    raise Exception(f"TTS API error: {response.status} - {error_text}")
+
+                await self.start_tts_usage_metrics(text)
+                await self.stop_ttfb_metrics()
+
+                buffer = bytearray()
+                # Control initial read size
+                async for chunk in response.content.iter_chunked(4096):
+                    if not chunk:
+                        continue
+                        
+                    buffer.extend(chunk)
+                    
+                    # Find complete data blocks
+                    while b'data:' in buffer:
+                        start = buffer.find(b'data:')
+                        next_start = buffer.find(b'data:', start + 5)
+                        
+                        if next_start == -1:
+                            # No next data block found, keep current data for next iteration
+                            if start > 0:
+                                buffer = buffer[start:]
+                            break
+                            
+                        # Extract a complete data block
+                        data_block = buffer[start:next_start]
+                        buffer = buffer[next_start:]
+                        
+                        try:
+                            data = json.loads(data_block[5:].decode('utf-8'))
+                            # Skip data blocks containing extra_info
+                            if "extra_info" in data:
+                                logger.debug("Received final chunk with extra info")
+                                break
+
+                            chunk_data = data.get("data", {})
+                            if not chunk_data:
+                                continue
+
+                            audio_data = chunk_data.get("audio")
+                            if not audio_data:
+                                continue
+
+                            # Process audio data in chunks
+                            CHUNK_SIZE = 4096  # 4KB per chunk
+                            for i in range(0, len(audio_data), CHUNK_SIZE * 2):  # *2 for hex string
+                                # Split hex string
+                                hex_chunk = audio_data[i:i + CHUNK_SIZE * 2]
+                                if not hex_chunk:
+                                    continue
+                                    
+                                try:
+                                    # Convert this chunk of data
+                                    audio_chunk = bytes.fromhex(hex_chunk)
+                                    if audio_chunk:
+                                        yield TTSAudioRawFrame(
+                                            audio=audio_chunk,
+                                            sample_rate=self._settings["audio_setting"]["sample_rate"],
+                                            num_channels=self._settings["audio_setting"]["channel"]
+                                        )
+                                except ValueError as e:
+                                    logger.error(f"Error converting hex to binary: {e}")
+                                    continue
+
+                        except json.JSONDecodeError as e:
+                            logger.error(f"Error decoding JSON: {e}, data: {data_block[:100]}")
+                            continue
+
+            yield TTSStoppedFrame()
+            
+            total_time = time.time() - start_time
+            logger.debug(f"Total TTS processing time: {total_time:.4f}s for {len(text)} chars")
+
+        except Exception as e:
+            logger.error(f"{self} error generating TTS: {e}")
+            yield ErrorFrame(f"{self} error: {str(e)}")
+        finally:
+            await self.stop_all_metrics()