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Google GenAI Live (aio) session stops responding after first turn_complete, whether or not an interrupted flag is raised. #1224

Description

@Sveto-Ivanovic

I’m streaming a pre-recorded audio file (sample.mp3) to the Gemini 2.0 Flash Live endpoint (gemini-2.0-flash-live-001) using the async Python SDK (google-genai==1.29.0).
The structure of the audio is as follows: [question, silence, question, silence, question, silence]
The audio is structured as to simulate conversation in real time.

What actually happens:

  1. Client connects successfully (setupComplete received).
  2. Audio chunks are streamed (audio/pcm;rate=16000).
  3. Model starts replying with audio (model_turn parts).
    Either
    * the model generates content uninterrupted
    * an interrupted=true flag is raised. (Both expected behaviour)
  4. turn ends normally (turn_complete=true)
  5. After that point the server stops sending anything; the receive() coroutine never yields another message even though the client keeps sending more audio.
  6. The WebSocket remains open, but the session is effectively dead from the user’s perspective.

Now is this supposed to happen, or am i doing something incorrectly ?
Code and logs provided down.


import asyncio
from typing import Tuple
import librosa
import numpy as np
from google import genai
from google.genai import types
from dotenv import load_dotenv
import logging

logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

import os

load_dotenv()

CHUNK=1600

CHANNELS=1
RECORD_SECONDS=5
MODEL = 'gemini-2.0-flash-live-001'
INPUT_RATE=16000
OUTPUT_RATE=24000

client = genai.Client(
    api_key=os.getenv("GOOGLE_API_KEY"),
)
config = {
    "response_modalities": ["AUDIO"],
}

def load_and_convert_audio( file_path: str) -> Tuple[np.ndarray, int]:
    """Load MP3 file and convert to the required format"""
    try:
        sample_rate = 16000  # Target sample rate
        # Load MP3 file
        audio, sr = librosa.load(file_path, sr=None)
        logger.info(f"Loaded {file_path}: {len(audio)} samples at {sr}Hz")
        
        # Resample to target sample rate if needed
        if sr != sample_rate:
            audio = librosa.resample(audio, orig_sr=sr, target_sr=sample_rate)
            logger.info(f"Sized {len(audio)} samples after resampling to {sample_rate}Hz")
            logger.info(f"Resampled to {sample_rate}Hz")
        
        return audio, sample_rate
        
    except Exception as e:
        logger.error(f"Error loading {file_path}: {e}")
        raise


def audio_to_bytes( audio: np.ndarray) -> bytes:
    """Convert numpy audio array to bytes (16-bit PCM)"""
    # Convert to 16-bit PCM
    audio_int16 = (audio * 32767).astype(np.int16)
    return audio_int16.tobytes()


async def main():
    try:
        print(MODEL)
        # open sample.mp3 file and stream it
        stream, _ = load_and_convert_audio(file_path="sample.mp3") 
        logger.info(f"Loaded audio stream with {len(stream)} samples")
        logger.info(f"Number of chunks: {len(stream) // CHUNK + 1}")
        async with client.aio.live.connect(model=MODEL, config=config) as session:
            #exit()
            async def send():
                
                for i in range(0, len(stream), CHUNK):
                    chunk = stream[i:i + CHUNK]
                    # Convert the chunk to bytes
                    logger.info(f"Sending chunk {i // CHUNK + 1}: {len(chunk)} samples")
                    chunk_bytes = audio_to_bytes(chunk)

                    await session.send(input={"data": chunk_bytes, "mime_type": "audio/pcm"})
                    await asyncio.sleep(0.05)
            async def receive():
                async for message in session.receive():
                    print("Received message:", message)
            
                        
                    await asyncio.sleep(10**-12)
            send_task = asyncio.create_task(send())
            receive_task = asyncio.create_task(receive())
            while True:
                await asyncio.sleep(0.1)
    except KeyboardInterrupt:
        logger.info("KeyboardInterrupt received, stopping...")

    except Exception as e:
        logger.error(f"Unexpected error: {e}")

    finally:
        
        logger.info("Closing session and exiting.")
        send_task.cancel()
        receive_task.cancel()
        await asyncio.gather(send_task, receive_task, return_exceptions=True)
        await session.close()
        await client.aio.live.close()

        


asyncio.run(main())
      
      

Logs

gemini-2.0-flash-live-001
2025-08-07 17:43:08,398 - INFO - Loaded sample.mp3: 1254528 samples at 48000Hz
2025-08-07 17:43:08,410 - INFO - Sized 418176 samples after resampling to 16000Hz
2025-08-07 17:43:08,410 - INFO - Resampled to 16000Hz
2025-08-07 17:43:08,410 - INFO - Loaded audio stream with 418176 samples
2025-08-07 17:43:08,410 - INFO - Number of chunks: 262
2025-08-07 17:43:08,801 - INFO - b'{\n  "setupComplete": {}\n}\n'
2025-08-07 17:43:08,801 - INFO - Sending chunk 1: 1600 samples
/home/svetozarivanovic/Desktop/Projects/telephony/sip-backend/testgenai.py:78: DeprecationWarning: The `session.send` method is deprecated and will be removed in a future version (not before Q3 2025).
Please use one of the more specific methods: `send_client_content`, `send_realtime_input`, or `send_tool_response` instead.
  await session.send(input={"data": chunk_bytes, "mime_type": "audio/pcm"})
2025-08-07 17:43:08,854 - INFO - Sending chunk 2: 1600 samples
2025-08-07 17:43:08,906 - INFO - Sending chunk 3: 1600 samples
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Received message: setup_complete=None server_content=LiveServerContent(
  model_turn=Content(
    parts=[
      Part(
        inline_data=Blob(
          data=b'\x00\x00\x00\x00\xff\xff\x00\x00\x00\x00\x00\x00\xff\xff\x00\x00\xff\xff\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xff\xff\xff\xff\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xff\xff\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xff\xff\xff\xff\xff\xff\x00\x00\x00\x00\xff\xff\x00\x00\x00\x00\x00...',
          mime_type='audio/pcm;rate=24000'
        )
      ),
    ]
  )
) tool_call=None tool_call_cancellation=None usage_metadata=None go_away=None session_resumption_update=None
Received message: setup_complete=None server_content=LiveServerContent(
  model_turn=Content(
    parts=[
      Part(
        inline_data=Blob(
          data=b'A\x0bR\r\x8f\x0c\xd8\x0b*\x0b\xd2\n\xe7\n\xc4\tS\x06\x13\x02Q\xff\x19\xfe\x1a\xfd\xa0\xfd\xaf\xfd\xfe\xfa<\xf7\x81\xf5Z\xf5w\xf4S\xf5\xc1\xf2\x9d\xec\xea\xe7\xe1\xe2\xc0\xddA\xdb\x9b\xd7-\xd4\xe4\xd0\x8f\xce\xb7\xce\xab\xcf\xaf\xd3V\xda4\xe4\x95\xea\x0f\xf1G\xfb\x1d\xfd\x85\xfd\x9f\n\xad\x12{\x13\x83\x19\x95\x19\x80\x14\xf8\x11\x95...',
          mime_type='audio/pcm;rate=24000'
        )
      ),
    ]
  )
) tool_call=None tool_call_cancellation=None usage_metadata=None go_away=None session_resumption_update=None
2025-08-07 17:43:11,273 - INFO - Sending chunk 49: 1600 samples
Received message: setup_complete=None server_content=LiveServerContent(
  model_turn=Content(
    parts=[
      Part(
        inline_data=Blob(
          data=b'\x95%\x1c"\xb6\x1e~\x1d\x80 \xc3&r%\x80"\x1a\x136\x01U\xfa\x9f\xf3\xe5\xf3\x9c\xf0L\xefz\xf0\xaf\xf0\xee\xfa#\x01{\x01\x93\xfa\xcb\xed\xb7\xe7=\xe3\xe0\xe2\x83\xe4I\xe2\x0f\xe4Z\xe9\x8a\xf53\x06\xfb\x10\xfb\x19\xec\x1dL\x1f\xd4\x1fr\x1c]\x1aN\x15\xde\x11\xad\x11\x97\x11~\x14|\x15\xcb\x16\xa4\x18\xc2\x198\x1b\xc3...',
          mime_type='audio/pcm;rate=24000'
        )
      ),
    ]
  )
) tool_call=None tool_call_cancellation=None usage_metadata=None go_away=None session_resumption_update=None
2025-08-07 17:43:11,323 - INFO - Sending chunk 50: 1600 samples
Received message: setup_complete=None server_content=LiveServerContent(
  model_turn=Content(
    parts=[
      Part(
        inline_data=Blob(
          data=b'\xcf\xfa\x95\xfaK\xfa\xf3\xf9|\xf9"\xf9\xca\xf8h\xf8\x1b\xf8\xb8\xf7Y\xf7\xf5\xf6\x92\xf6B\xf6\xe8\xf5\xab\xf5\x93\xf5z\xf5S\xf5A\xf52\xf52\xf5+\xf5\xf6\xf4\xb2\xf4\x8d\xf4l\xf4 \xf4\x0f\xf4Q\xf4\xae\xf4\x1e\xf5\x95\xf5\xca\xf5\x9a\xf5U\xf5\x87\xf55\xf6\xdd\xf6\xb0\xf7\xcc\xf8\xcf\xf9\x9c\xfa8\xfb\xb2\xfb\n\xfc^\xfc\xea\xfc\xb4...',
          mime_type='audio/pcm;rate=24000'
        )
      ),
    ]
  )
) tool_call=None tool_call_cancellation=None usage_metadata=None go_away=None session_resumption_update=None
Received message: setup_complete=None server_content=LiveServerContent(
  model_turn=Content(
    parts=[
      Part(
        inline_data=Blob(
          data=b'\x93\xfe\xbe\xff\xe7\x03c\xfd6\x04 \xfe*\x03h\x00f\x00\x83\xfcU\x03\xd8\x01\xfd\xff\xce\x00X\x04X\xfc\x8f\x01\x94\x03P\xffp\x00\x9b\xfeK\x08\xc7\xf8\x9b\x05L\x02\xca\xfe6\x004\x01Y\x02\xd1\xfb\xc4\x055\xffP\xfe\xd7\x02\xc5\x00\xc7\xfb\xe2\x05\xe8\xfc\x86\xff\x04\x01\x07\x03+\xfb9\x05\xf8\x011\xf7\xf2\x0fD\xf3S\x07\xc5...',
          mime_type='audio/pcm;rate=24000'
        )
      ),
    ]
  )
) tool_call=None tool_call_cancellation=None usage_metadata=None go_away=None session_resumption_update=None
Received message: setup_complete=None server_content=LiveServerContent(
  interrupted=True
) tool_call=None tool_call_cancellation=None usage_metadata=None go_away=None session_resumption_update=None
Received message: setup_complete=None server_content=LiveServerContent(
  turn_complete=True
) tool_call=None tool_call_cancellation=None usage_metadata=UsageMetadata(
  prompt_token_count=554,
  prompt_tokens_details=[
    ModalityTokenCount(
      modality=<MediaModality.TEXT: 'TEXT'>,
      token_count=553
    ),
    ModalityTokenCount(
      modality=<MediaModality.AUDIO: 'AUDIO'>,
      token_count=1
    ),
  ],
  response_token_count=19,
  response_tokens_details=[
    ModalityTokenCount(
      modality=<MediaModality.TEXT: 'TEXT'>,
      token_count=19
    ),
  ],
  total_token_count=573
) go_away=None session_resumption_update=None
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^C^C2025-08-07 17:43:25,992 - INFO - Closing session and exiting.

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priority: p3Desirable enhancement or fix. May not be included in next release.status:awaiting user responsetype: questionRequest for information or clarification. Not an issue.

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