using the server send event or webhook ,something ...
# ask-ai
s
using the server send event or webhook ,something like that can we update our agent context??, it should be not from the agent or client
t
Thanks for reaching out, Rahul. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
You're asking whether a server (via webhook or SSE) can update an agent's context rather than the agent or client doing it. Short answer: you cannot directly modify an agent's ChatContext through LiveKit's webhooks or built-in webhook mechanism. Webhooks are notification-only. What you can do (recommended pattern) • Have your server receive the external event (webhook/SSE) and store the context update in an external store (DB, cache, or message queue). • Give your agent a small listener or poller that reads those updates and calls
agent.update_chat_ctx()
(or otherwise injects the data into the session) so the agent updates its context from inside its own runtime. • Alternatively, expose an HTTP endpoint in your agent service that your webhook calls; when that endpoint receives new data it directly calls
agent.update_chat_ctx()
. Quick clarifying questions so I can give precise code/examples: 1. What language is your agent service written in (Python or Node.js)? 2. Is this for a voice agent or text-only? 3. Where would you prefer storing updates (database, Redis, or a message queue)? Sources: server-sdk-js | livekit/livekit_composite | DeepWiki | Agents Framework | livekit/livekit_composite | DeepWiki | External data and RAG | LiveKit Docs | Announcing Agent Builder: A Pathway to Code | Agents v0.x migration guide - Python | LiveKit docs
s
using sse or webhook can we make an agent to leave and join another agent??
t
You're asking if SSE or webhooks can make an agent leave one session and join another. Short answer: no — LiveKit webhooks and SSE are notification-only and cannot directly command an agent to leave or join a room. What you can do instead • Agent-initiated handoff: Have the agent call a tool or return a new
Agent
instance to trigger a transfer within the agent logic. • Warm transfer / move participant: Use the LiveKit server APIs (e.g.,
move_participant
) to move a participant between rooms after a consultation/transfer workflow. • External orchestration + agent listener: Use webhooks/SSE to notify your service, store the intent in a DB or queue, and have the agent process poll or receive that event and then call
connect()
,
session.shutdown()
, or
agent
-level APIs to leave/join. Quick questions so I can give a concrete example: 1. Is your agent service in Python or Node.js? 2. Is this for voice (call transfer) or text/chat? 3. Do you want an immediate move (hard transfer) or a warm/consultation transfer? Sources: Webhooks | LiveKit docs | Agents and handoffs | LiveKit docs | Agent-assisted warm transfer | LiveKit docs | Job lifecycle | LiveKit docs
s
give me a sample code of Agent-initiated handoff to an agent to leave ad another agent join a room. Have the agent call a tool or return a new
Agent
instance to trigger a transfer within the agent logic.
t
Responding to your request for a concrete sample showing an agent-initiated handoff that returns a new
Agent
instance (agent A hands off to agent B), below is a concise Python text/chat example you can adapt. Notes: • This example shows an agent tool that triggers a transfer by returning a new
Agent
instance; the framework will use that to perform the handoff. • Minimal surrounding setup is included (agent classes, tool registration, session start). Replace SDK-specific imports and session/room wiring with your app’s actual initialization.
Copy code
# Example: Python agent-initiated handoff (text/chat)
# Replace imports with your agent framework/LiveKit agent SDK modules.

from typing import Tuple

# --- Agent definitions ---

class BaseAgent:
    async def on_message(self, session, message):
        """Handle incoming message and optionally call tools."""
        raise NotImplementedError()

class SupportAgent(BaseAgent):
    async def on_message(self, session, message):
        # Support agent handles the message normally
        await session.send_reply("SupportAgent: I can help with that.")
        return None  # No transfer

class SalesAgent(BaseAgent):
    async def on_message(self, session, message):
        # If the message needs support, initiate a handoff via tool
        if "support" in message.lower():
            # Call a tool that triggers transfer
            return await self.transfer_to_support_tool(session, message)
        await session.send_reply("SalesAgent: Tell me more about your needs.")
        return None

    # Tool that returns a new Agent instance to trigger a transfer
    async def transfer_to_support_tool(self, session, message) -> Tuple[BaseAgent, str]:
        # Optional: log or save context before transfer
        await session.send_reply("SalesAgent: I'm transferring you to Support.")
        # Create the new agent instance (SupportAgent)
        new_agent = SupportAgent()
        # Return the agent instance and an optional reason note
        return new_agent, "handoff_to_support"

# --- Agent session handling (framework shim) ---
# The framework code below demonstrates how it could accept a returned Agent
# and perform the handoff: shut down current agent in room and start new agent.

class AgentSession:
    def __init__(self, room, agent: BaseAgent):
        self.room = room
        self.agent = agent
        self.running = True

    async def start(self):
        # Start listening to messages (simplified)
        while self.running:
            message = await self._wait_for_incoming_message()
            result = await self.agent.on_message(self, message)

            # If the agent returned a new agent instance, perform the handoff
            if isinstance(result, tuple) and isinstance(result[0], BaseAgent):
                new_agent, reason = result
                await self._perform_handoff(new_agent, reason)
                # After handoff performed, stop this session loop
                break

    async def send_reply(self, text: str):
        # Send a reply into the room (replace with actual send)
        print(f"[{self.room}] reply: {text}")

    async def _wait_for_incoming_message(self) -> str:
        # Replace with real message receive; here simulated input for demo
        # In real usage this yields messages from participants in the LiveKit room
        import asyncio
        await asyncio.sleep(0.1)
        return "I need support"  # demo message that triggers transfer

    async def _perform_handoff(self, new_agent: BaseAgent, reason: str):
        # 1) Optionally persist context/state to DB or share via your service
        print(f"Handoff reason: {reason}, moving from {self.agent.__class__.__name__} to {new_agent.__class__.__name__}")

        # 2) Current agent leaves / session.shutdown() (framework-specific)
        await self._shutdown_current_agent()

        # 3) Start a new agent session in the same room (or another room as needed)
        new_session = AgentSession(self.room, new_agent)
        # Depending on your framework, you may need to spawn new_session.start() in background
        await new_session.start()

    async def _shutdown_current_agent(self):
        # Perform any cleanup (unpublish tracks, close connections)
        print(f"Shutting down agent: {self.agent.__class__.__name__}")
        self.running = False

# --- Run demo ---
import asyncio

async def demo():
    room = "room-123"
    initial_agent = SalesAgent()
    session = AgentSession(room, initial_agent)
    await session.start()

asyncio.run(demo())
How this maps to a real system • The framework’s agent session would call
connect()
/
session.shutdown()
and manage LiveKit participant lifecycle. Replace
_shutdown_current_agent
and session start logic with SDK calls that disconnect the agent participant and have the new agent connect. • Preserve and pass any necessary chat context (store in DB or attach to the new agent session) before starting the new agent so the conversation continues smoothly. If you want, I can: • Convert this to Node.js, or • Show the same flow with explicit LiveKit SDK calls for disconnecting a participant and connecting another (tell me whether you use Python or Node.js).