can I skip thinking process of voice pipeline agent LiveKit Community #ask-ai

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can I skip thinking process of voice pipeline agen...

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clever-doctor-15083

03/28/2025, 9:18 AM

can I skip thinking process of voice pipeline agent?

tall-airline-16756

03/28/2025, 9:18 AM

Thanks for reaching out, NAJAM. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

tall-airline-16756

03/28/2025, 9:19 AM

To skip the thinking process of a voice pipeline agent, you can use the

before_tts_cb

callback to modify the LLM output before it is sent to the TTS engine. This allows you to remove or modify specific tokens like

<think>

and

</think>

that represent the agent's chain-of-thought reasoning. Here is an example implementation:

Copy code

async def _before_tts_cb(agent: VoicePipelineAgent, text: str | AsyncIterable[str]):
    if isinstance(text, str):
        # Handle non-streaming text
        result = text.replace("<think>", "").replace("</think>", "")
        return result
    else:
        # Handle streaming text
        async def process_stream():
            async for chunk in text:
                processed = chunk.replace("<think>", "")\
                .replace("</think>", "Okay, I'm ready to respond.")
                yield processed

        return process_stream()

This callback intercepts the text generated by the LLM before it is sent to the TTS engine, removing the

<think>

and

</think>

tokens so they are not vocalized. This effectively skips the thinking process in the spoken output while preserving the agent's reasoning capabilities. Sources: Modifying LLM output before TTS | LiveKit Docs

clever-doctor-15083

03/28/2025, 9:19 AM

i need example in python

tall-airline-16756

03/28/2025, 9:20 AM

Here is an example implementation in Python to skip the thinking process of a voice pipeline agent:

Copy code

async def _before_tts_cb(agent: VoicePipelineAgent, text: str | AsyncIterable[str]):
    if isinstance(text, str):
        # Handle non-streaming text
        result = text.replace("<think>", "").replace("</think>", "")
        return result
    else:
        # Handle streaming text
        async def process_stream():
            async for chunk in text:
                processed = chunk.replace("<think>", "")\
                .replace("</think>", "Okay, I'm ready to respond.")
                yield processed

        return process_stream()

This Python code defines a callback function

_before_tts_cb

that intercepts the text generated by the LLM before it is sent to the TTS engine. It removes the

<think>

and

</think>

tokens, ensuring that the thinking process is skipped in the spoken output.

clever-doctor-15083

03/28/2025, 9:24 AM

can participant_attributes_changed directly yo speaking from listening in voicepipeline agent?

tall-airline-16756

03/28/2025, 9:24 AM

I'm unable to find specific information about whether

participant_attributes_changed

can directly transition to "speaking" from "listening" in a VoicePipeline agent. This might require further investigation or clarification from a specialist. If you have additional details or context about your use case, feel free to share, and I can assist further or escalate the issue to a human specialist if needed.

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