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When AgentTask is running in AgentSession how to c...
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l
When AgentTask is running in AgentSession how to close the agent or update the agent in session? I'm using python framework.
t
Thanks for reaching out, Rajadurai. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Thanks — I’m responding to your question about how to close or update an agent while an 
AgentTask
is running in an 
AgentSession
using the Python framework. Short answer: • You can close the session at any time by calling 
session.shutdown()
(e.g., 
await session.shutdown(drain=True)
for a graceful shutdown). • You cannot update the active agent while an 
AgentTask
is running because the task takes exclusive control of the session. You must wait until the task finishes before calling 
session.update_agent(...)
. What’s happening under the hood (brief): • When an 
AgentTask
runs, it suspends the main agent’s control of the session until the task completes. • Calling 
session.shutdown()
begins session cleanup and will stop the task and agent lifecycle (it’s the proper way to end everything from inside task or agent code). • 
session.update_agent()
only succeeds after control returns to the main agent (i.e., after the task completes with 
self.complete(result)
or otherwise finishes). Practical options you can use • Close the session from inside the task: a. Inside your task coroutine, call:
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await session.shutdown(drain=True)  # or drain=False
1. This will gracefully stop the session and clean up I/O/speech as configured. • Modify behavior without replacing the agent: ◦ If you need different behavior while the task runs, change the agent’s internal state or tools from inside the task rather than trying to swap the agent. • Update the agent after the task completes: a. Let the task finish (e.g., call 
self.complete(result)
). b. Once control returns to the main agent, call:
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await session.update_agent(NewAgent())
If you’d like, tell me: • A short snippet of how you currently start the 
AgentTask
and 
AgentSession
(redact any secrets), and • Whether you want to fully stop the session or simply change agent behavior while the task runs. I can then suggest a concrete code example tailored to your flow. Sources: Job lifecycle | LiveKit Documentation | Agents and handoffs | LiveKit Documentation
l
give code to manualy close orcomplete the Agenttask and update session.update_agent
t
Thanks — I’ll show a concise Python example that demonstrates how to manually complete an 
AgentTask
(so control returns to the main agent), then call 
session.update_agent(...)
. This follows the lifecycle rules: the task must finish before the agent can be replaced. Notes: • Replace class/function names with your actual implementations. • Redact any secrets before running. Example:
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import asyncio

# Example AgentTask implementation
class MyAgentTask:
    def __init__(self, session):
        self.session = session
        self._completed = asyncio.Event()
        self.result = None

    async def run(self):
        # Task does work here. This coroutine has exclusive control of the session.
        try:
            # Simulate work
            for i in range(5):
                print("Task working...", i)
                await asyncio.sleep(1)

                # Optional: check some condition to finish early
                if some_condition_to_complete():
                    await self.complete({"status": "early_complete"})
                    return

            # Normal completion
            await self.complete({"status": "done"})
        except Exception as e:
            # If you want to shutdown session on error:
            await self.session.shutdown(drain=True)
            raise

    async def complete(self, result):
        # Mark the task completed and store result
        self.result = result
        self._completed.set()
        # Return control to the main agent by simply finishing run()
        # If there are other cleanup steps, do them here.
        print("Task completed with:", result)

    async def wait_completed(self):
        await self._completed.wait()
        return self.result

def some_condition_to_complete():
    # Replace with your actual condition logic
    return False


# Example main agent flow that starts the task and waits, then updates the agent
async def main_agent_flow(session):
    # Start the AgentTask (run concurrently or awaited depending on framework)
    task = MyAgentTask(session)

    # Start the task concurrently so the session is controlled by the task
    task_coro = asyncio.create_task(task.run())

    # Option A: Wait for task to signal completion, then update agent
    result = await task.wait_completed()
    print("Received task result:", result)

    # Now it's safe to update the agent because the task finished
    await session.update_agent(NewAgent())  # Replace NewAgent with your agent class
    print("Agent updated after task completion")

    # Optionally wait for task coroutine to finish fully (if needed)
    await task_coro

# Example NewAgent placeholder
class NewAgent:
    pass

# Example usage entrypoint
async def example_entrypoint(session):
    await main_agent_flow(session)

# If running standalone for testing:
# asyncio.run(example_entrypoint(your_session_instance))
If instead you want to force the session to stop from inside the task (which will end the task and agent lifecycle), call shutdown:
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await session.shutdown(drain=True)  # Graceful shutdown; use drain=False to skip draining speech
If you share a short snippet of how you currently start tasks and your session object, I can adapt the example to your exact framework setup (e.g., 
AgentTask
base class names or how you schedule tasks).
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