@millions-hair-24956 Where can I change the overall interruption configurations of the voice pipeline agent?

To change the overall interruption configurations of the VoicePipelineAgent, you can adjust parameters such as

allow_interruptions

,

interrupt_speech_duration

, and

interrupt_min_words

. These parameters are part of the agent's setup and can be configured when initializing the agent. For example, setting

allow_interruptions

to

False

will disable interruptions, while

interrupt_speech_duration

and

interrupt_min_words

control the conditions under which interruptions are considered intentional. Would you like more details on how to implement these changes? Sources: - VoicePipelineAgent Interruption Handling - VoicePipelineAgent Configuration 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

Now i would like to do something. I have a user variable that changes during the conversation. Is there a way to use that variable to route te user into different agents? so for example I start with an agent when the variable is 1 and then the agent calls a function call that set it to 2 so that make it so another agent is used? is this possible or is there an easier way to do this? @millions-hair-24956

It seems likely that you can route users to different agents based on a variable by using function calls to manage state transitions. You can implement a function that updates the user variable and then use this variable to determine which agent configuration to apply. This approach allows you to dynamically switch agents or their configurations during a session. Would you like more details on how to implement this? Sources: - Managing Agent State 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

yes, im curious on how I can make it so one agent is used or another one @millions-hair-24956

To dynamically switch between agents based on a user variable, you can follow these steps: 1. Initialize Agents: Set up multiple agents with different configurations. Each agent can be initialized with specific parameters or prompts that suit different stages of the conversation. 2. Monitor Variable Changes: Implement a function within your agent that listens for changes in the user variable. This can be done using a callback or a function call that updates the variable. 3. Switch Agents: When the variable changes, use logic to determine which agent should be active. You can achieve this by closing the current agent and initializing the new one with the updated configuration. 4. Use Function Calls: Implement function calls within the agent to handle state transitions. This allows the agent to call a function that updates the user variable and triggers the switch to another agent. Here's a basic example in Python:

async def switch_agent(ctx, user_variable):
    if user_variable == 1:
        # Initialize Agent 1
        agent = Agent1()
    elif user_variable == 2:
        # Initialize Agent 2
        agent = Agent2()
    
    await agent.start(ctx.room)

# Function to update user variable and switch agents
async def update_variable_and_switch(ctx, new_value):
    user_variable = new_value
    await switch_agent(ctx, user_variable)

This approach allows you to manage agent transitions based on the user variable dynamically. Would you like more detailed guidance or a specific code example? Sources: - Managing Agent State 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

Yes, i am still confused on how this will be orchestrated with the aprticipant talking @millions-hair-24956

To orchestrate agent switching based on a participant's conversation, you can use the following approach: 1. Set Up Initial Agent: Start with an initial agent that listens to the participant's input. This agent will handle the initial part of the conversation and monitor for specific triggers or conditions that indicate a need to switch agents. 2. Detect Triggers for Switching: Implement logic within the agent to detect when the user variable should change. This could be based on specific keywords, phrases, or conditions in the conversation. You can use function calls or callbacks to handle these detections. 3. Switch Agents: When a trigger is detected, update the user variable and switch to the appropriate agent. This involves stopping the current agent and starting a new one with the desired configuration. The new agent can be initialized with a different set of parameters or prompts to handle the next stage of the conversation. 4. Maintain Context: Ensure that the context of the conversation is maintained across agent switches. You can pass the conversation history or relevant context to the new agent to ensure continuity. Here's a more detailed example:

async def handle_conversation(ctx, user_variable):
    # Start with the initial agent
    agent = Agent1()
    await agent.start(ctx.room)

    # Function to handle switching
    async def switch_agent(new_value):
        nonlocal agent
        user_variable = new_value
        await agent.stop()  # Stop the current agent

        # Initialize the new agent based on the updated variable
        if user_variable == 1:
            agent = Agent1()
        elif user_variable == 2:
            agent = Agent2()

        await agent.start(ctx.room)  # Start the new agent

    # Example of detecting a trigger and switching agents
    @agent.on("message_received")
    async def on_message_received(msg):
        if "switch" in msg.content:  # Example trigger
            await switch_agent(2)  # Update variable and switch agent

# Start handling the conversation
await handle_conversation(ctx, user_variable=1)

This setup allows you to dynamically switch agents based on the conversation flow, ensuring that the participant's input determines the active agent. Would you like further clarification or assistance with specific parts of this process? Sources: - Managing Agent State 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

could you give me a simple example of a full code that can do this? @millions-hair-24956

Certainly! Below is a simple example of how you can implement agent switching based on a user variable in a LiveKit environment. This example demonstrates how to start with one agent and switch to another based on a trigger in the conversation.

import asyncio
from livekit.agents import VoicePipelineAgent
from livekit.plugins import openai, silero, deepgram

async def handle_conversation(ctx):
    user_variable = 1  # Initial state

    # Define agents
    agent1 = VoicePipelineAgent(
        vad=silero.VAD.load(),
        stt=deepgram.STT(model="nova-2-general"),
        llm=openai.LLM(model="gpt-3.5-turbo"),
        tts=openai.TTS(model="tts-1", voice="alloy"),
        chat_ctx=openai.ChatContext().append(role="system", text="You are Agent 1."),
    )

    agent2 = VoicePipelineAgent(
        vad=silero.VAD.load(),
        stt=deepgram.STT(model="nova-2-general"),
        llm=openai.LLM(model="gpt-3.5-turbo"),
        tts=openai.TTS(model="tts-1", voice="shimmer"),
        chat_ctx=openai.ChatContext().append(role="system", text="You are Agent 2."),
    )

    # Start with Agent 1
    current_agent = agent1
    await current_agent.start(ctx.room)

    async def switch_agent(new_value):
        nonlocal current_agent, user_variable
        user_variable = new_value
        await current_agent.stop()  # Stop the current agent

        # Switch to the new agent based on the updated variable
        if user_variable == 1:
            current_agent = agent1
        elif user_variable == 2:
            current_agent = agent2

        await current_agent.start(ctx.room)  # Start the new agent

    # Example of detecting a trigger and switching agents
    @current_agent.on("message_received")
    async def on_message_received(msg):
        if "switch" in msg.content:  # Example trigger
            await switch_agent(2)  # Update variable and switch agent

# Example usage
async def main():
    # Assuming ctx is a valid JobContext
    await handle_conversation(ctx)

# Run the main function in an asyncio event loop
if __name__ == "__main__":
    asyncio.run(main())

This code sets up two agents with different configurations and switches between them based on a trigger word "switch" in the conversation. The

switch_agent

function handles stopping the current agent and starting the new one. Would you like more details or modifications to this example? Sources: - https://livekit-users.slack.com/archives/C07FY8WHGPM/p1732895035.813109 - https://livekit-users.slack.com/archives/C07FY8WHGPM/p1730355369.957779 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.