i have an error using the conversational ai api and python code:C:\Users\simpl\Documents\proyects\

[modern light]

AI-generated Answer for borja_08472

The error you're encountering, RuntimeWarning: coroutine 'TwilioAudioInterface.handle_twilio_message' was never awaited, typically occurs when an asynchronous function (a coroutine) is called but not awaited. This means the function is not being executed properly in an asynchronous context.

To resolve this issue, ensure that you are using the await keyword when calling the handle_twilio_message coroutine. Here's an example of how you might fix it:

# Example of properly awaiting a coroutine
await TwilioAudioInterface.handle_twilio_message()

If you're calling this function inside a synchronous function, you need to ensure that the function is converted into an asynchronous one by adding async before the function definition. For example:

async def some_function():
    await TwilioAudioInterface.handle_twilio_message()

Additionally, ensure that your code is running within an asynchronous event loop. If you're using a framework like asyncio, you can use asyncio.run() to start the event loop:

import asyncio

async def main():
    await TwilioAudioInterface.handle_twilio_message()

asyncio.run(main())

If the issue persists, double-check the implementation of TwilioAudioInterface and ensure that all asynchronous methods are being awaited correctly. Let me know if you need further clarification!

[lunar kelp]

@sock.route("/media-stream-eleven")
def handle_media_stream(ws):
print("WebSocket connection established")
audio_interface = TwilioAudioInterface(ws)
conversation = None
config = ConversationConfig(
dynamic_variables=personal_info
)

try:
    conversation = Conversation(
        client=client_elevenlabs,
        agent_id=os.getenv('AGENT_ID'),
        config=config,
        requires_auth=False,
        audio_interface=audio_interface,
        callback_agent_response=lambda text: print(f"Agent said: {text}"),
        callback_user_transcript=lambda text: print(f"User said: {text}"),
    )
    conversation.start_session()
    print("Conversation session started")
    while True:
        message = ws.receive()
        if not message:
            continue
        try:
            data = json.loads(message)
            audio_interface.handle_twilio_message(data)
        except Exception as e:
            print(f"Error processing message: {str(e)}")
            traceback.print_exc()
except Exception as e:
    print(f"WebSocket error: {e}")
finally:
    if conversation:
        print("Ending conversation session...")
        conversation.end_session()
        conversation.wait_for_session_end()

this is the code