I’ve built a voice agent using LiveKit with Python...
# ask-aib
busy-spoon-35253
09/18/2025, 9:43 PMI’ve built a voice agent using LiveKit with Python, AWS RDS (database), and AWS Lambda (FastAPI). How can I deploy it on LiveKit Cloud so that only the voice functionality runs there?
t
tall-airline-16756
09/18/2025, 9:43 PMThanks for reaching out, Samuel. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
tall-airline-16756
09/18/2025, 9:45 PMI'm here to help you deploy your voice agent on LiveKit Cloud, focusing just on the voice features. Let's walk through the steps together:
1. Set Up Requirements: First, make sure you have a LiveKit Cloud account, your API keys handy, and the LiveKit CLI installed. You'll also want Python >= 3.9 and the necessary AI provider API keys like Deepgram or OpenAI.
2. Initialize Your Project: Next, create a new project directory using the LiveKit Agents framework and install all the packages you'll need for your voice pipeline.
3. Configure Environment Variables: Don’t forget to set up a
.env.localb
busy-spoon-35253
09/18/2025, 9:46 PMwont it work on python 3.11?
t
tall-airline-16756
09/18/2025, 9:46 PMGreat news! The LiveKit Agents framework fully supports Python 3.11, so you can confidently move forward with deploying your voice agent using this version. If you run into any hiccups or have questions along the way, please don’t hesitate to reach out—I’m here to help!
Sources: livekit-plugins/livekit-plugins-ultravox/pyproject.toml | Agent Deployment & Docker Configuration | livekit/livekit_composite | DeepW...
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busy-spoon-35253
09/19/2025, 1:10 AMneed help on twilio livekit sip webhook integration
t
tall-airline-16756
09/19/2025, 1:10 AMTo integrate Twilio SIP with LiveKit using webhooks, here’s a friendly step-by-step guide to help you along the way:
1. Set Up a Webhook Endpoint: You’ll want to create a server (for example, using Node.js/Express) that listens for Twilio’s webhook requests and dynamically returns TwiML to route calls to your LiveKit SIP endpoint. This is where the magic starts!
2. Configure Twilio: Head over to the Twilio Console, and set your phone number’s "A call comes in" option to "Webhook." Don’t forget to provide your server’s public URL so Twilio knows where to send requests.
3. Create a LiveKit SIP Trunk: Using the LiveKit CLI or SDK, create an inbound SIP trunk with the same credentials you’ll use in your webhook-generated TwiML. This keeps everything connected smoothly.
4. Set Up a Dispatch Rule: Finally, configure a dispatch rule in LiveKit to route calls to individual rooms, making sure calls reach the right place.
Using webhooks gives you the flexibility of dynamic call routing and seamless integration with your backend systems. If you’d like, I’m here to help with detailed code examples or to walk you through any specific step—just let me know!
Sources: packages/sip--um-actually/.env.example | Integrating with Telephony | LiveKit Docs | Inbound calls with Twilio Voice | LiveKit Docs | Create and configure a Twilio SIP trunk | LiveKit Docs | README.md
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busy-spoon-35253
09/19/2025, 10:44 AMone input on the LiveKit Cloud Agent Deployment is needed. Once the agent is deployed, without dialing to the number, can i use any web based method for testing? is that allowed in LiveKit Cloud
t
tall-airline-16756
09/19/2025, 10:45 AMI'd love to help you test your LiveKit Cloud agent easily, without the need to dial a number! A great way to do this is by using the LiveKit Agents Playground. It’s a friendly web-based tool that lets you interact with your agent through audio, video, and text chat right from your browser.
1. Start Your Agent: Simply run your agent in
devb
busy-spoon-35253
09/19/2025, 11:43 AMwhich is best method to interconnect LivekKit & Twilio when hosting the voice agent in Cloud LiveKit.
t
tall-airline-16756
09/19/2025, 11:44 AMI'm happy to help you find the best way to connect LiveKit and Twilio for your voice agent hosted on LiveKit Cloud. It really depends on what you're looking to achieve:
1. Inbound Calls Only: A great option is to use Twilio Programmable Voice with SIP trunking. You can set up a TwiML Bin or webhook to direct incoming calls to your LiveKit SIP endpoint. This approach is pretty straightforward and works wonderfully if you're mainly handling inbound calls.
2. Bidirectional Communication: If you need both inbound and outbound calls, Twilio Elastic SIP Trunking is the way to go. It offers advanced features like call termination and origination, which are perfect for more complex scenarios.
Both options will involve setting up SIP trunks and dispatch rules in LiveKit to make sure calls go to the right rooms. If you'd like, I’m here to guide you through the setup step-by-step—just let me know which approach you'd like to explore!
Sources: LiveKit Docs | Integrating with Telephony | LiveKit Docs | Inbound calls with Twilio Voice | LiveKit Docs | Create and configure a Twilio SIP trunk | LiveKit Docs | .env.example
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busy-spoon-35253
09/20/2025, 7:02 AMOne more thing, Twilio + LIveKit Integeration works fine via TwiML BIn App. and the call is through via twilio and a room is getting generated with Room ID & Participants as 1 & Publishers as 1. However, agent is not joining the call at all. Wanna know why & how to solve this. Do yo have any sort of demo git app, which I can refer and make it work.
t
tall-airline-16756
09/20/2025, 7:03 AMI'm sorry to hear you're having trouble with your LiveKit agent not joining the room during your Twilio integration. This issue often happens due to mismatched room names or configuration settings. Let’s walk through some steps together to help you resolve it:
1. Verify Room Name Consistency: Please double-check that the room name created by the SIP dispatch rule exactly matches what your agent is set to join. For example, if your dispatch rule uses a prefix like
call-LIVEKIT_API_KEYLIVEKIT_API_SECRETTWILIO_SIP_USERNAMEb
busy-spoon-35253
09/20/2025, 9:31 AMI've deploed the livekit agent in the cloud. is there way to get the console log of the deployed agent in the CLI
t
tall-airline-16756
09/20/2025, 9:32 AMHey there! You can easily check out the console logs of your deployed LiveKit agent in the cloud using the CLI. Just use this command to stream the runtime logs live:
Copy code
lk agent logs --log-type=deploy Copy code
lk agent tail Copy code
lk agent logs --id CA_MyAgentId --log-type deployb
busy-spoon-35253
09/20/2025, 9:36 AMcan i also try couple of commands inside the hosted lk cloud agent and see all the API endpoints are working?
t
tall-airline-16756
09/20/2025, 9:36 AMI understand that you'd like to test API endpoints directly inside a hosted LiveKit Cloud agent. While it's not possible to run commands directly within the hosted agent, you can definitely test API functionality locally during development by using the agent's console mode or by simulating input before deployment.
After deployment, you can check the API endpoints by interacting with the agent through its configured interfaces, like SIP calls or the LiveKit Agents Playground. If you'd like, I’m here to help guide you through testing locally or verifying API functionality once you’ve deployed—just let me know!
Sources: cmd/lk/agent.go | README.md
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busy-spoon-35253
09/20/2025, 9:37 AMOk next question, i've host agent in the cloud. how can i use livekit playground?
t
tall-airline-16756
09/20/2025, 9:38 AMI'd love to help you get started with the LiveKit Agents Playground using your hosted agent in LiveKit Cloud. Here’s a simple way to do it:
1. Make Sure Your Agent is Up and Running: First, double-check that your agent is deployed and active in LiveKit Cloud.
2. Open the Playground: Head over to the hosted playground at https://agents-playground.livekit.io.
3. Connect to Your LiveKit Room: Just enter your LiveKit server URL along with an access token to connect. If you’re using LiveKit Cloud, you might also be able to connect right through the Cloud authentication interface if it’s enabled.
4. Give Your Agent a Test Run: Once connected, you can interact with your agent using audio, video, or text. The interface is super friendly, supporting live transcription, chat input, and webcam/microphone integration.
If you’d like, I’m here to help you generate access tokens or walk you through setting up the playground. Just let me know!
Sources: Agents Playground | LiveKit Docs | Voice AI quickstart | LiveKit Docs | Agents playground | LiveKit Docs
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busy-spoon-35253
09/20/2025, 9:39 AMI tried it up by my hosted agent in the cloud is not getting connected to the playground. give me instructions to get it done right
t
tall-airline-16756
09/20/2025, 9:40 AMI'm here to help you get your hosted LiveKit Cloud agent connected to the Agents Playground smoothly. Let's walk through a few steps together to resolve this:
1. Start the Agent in Dev Mode: First, please make sure your agent is running in development mode. If you're using Python, you can do this by running:
uv run agent.py dev.env.localLIVEKIT_API_KEYLIVEKIT_API_SECRETNEXT_PUBLIC_LIVEKIT_URL=wss://<your-cloud-url>wss://b
busy-spoon-35253
09/20/2025, 9:41 AMwhere to get the room token?
t
tall-airline-16756
09/20/2025, 9:42 AMTo help you generate a room token for LiveKit, here’s a simple guide you can follow:
1. Using the LiveKit CLI: You can run this command:
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lk token create \
--api-key <project_key> \
--api-secret <project_secret> \
--join \
--room <room_name> \
--identity <user_identity> \
--valid-for 24h Copy code
from livekit import api
token = (
api.AccessToken(LIVEKIT_API_KEY, LIVEKIT_API_SECRET)
.with_identity("user123")
.with_grants(api.VideoGrants(room_join=True, room="my-room"))
.to_jwt()
)<https://cloud-api.livekit.io/api/sandbox/connection-details>b
busy-spoon-35253
09/20/2025, 9:44 AMi get this now: failed to get logs: Agent is sleeping due to inactivity - create a new session to wake it up and view logs
t
tall-airline-16756
09/20/2025, 9:44 AMIt looks like your LiveKit Cloud agent is currently in a "Sleeping" state because it hasn’t been active for a while. To wake it up and check the logs, you just need to create a new session—this will naturally activate the agent when a user interacts with it, like joining a room or sending a request.
Once the agent is awake, you can easily view its logs with this command:
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lk agent logs --log-type=deployb
busy-spoon-35253
09/20/2025, 9:45 AMi deplyed the agent in start mode, so it should be always runnng right?
t
tall-airline-16756
09/20/2025, 9:45 AMDeploying your agent in
startb
busy-spoon-35253
09/20/2025, 9:47 AMOk. all is good. I'm using free plan. Now, i want to test the hosted agent in cloud using LiveKit Playground. Guide me step by steps. Do i need to run in dev mode or console mode and any other settings that comes along with it
t
tall-airline-16756
09/20/2025, 9:48 AMI'm here to help you test your hosted LiveKit Cloud agent using the LiveKit Playground. Let's walk through the steps together:
1. Make Sure Your Agent is Running: First, start your agent in
devuv run agent.py devlk token create --api-key <your_api_key> --api-secret <your_api_secret> --room-name <room_name> --identity <user_identity> --ttl 1h Copy code
from livekit.rtc import AccessToken
token = (
AccessToken("your-api-key", "your-api-secret")
.with_identity("user123")
.with_name("Test Room")
.with_grants(video=True, audio=True, room_join=True)
.to_jwt()
)
print(token)<wss://your-project.livekit.cloud>b
busy-spoon-35253
09/20/2025, 9:52 AMgot these error: Using generated participant identity [participant-1fbb13ef5cd9]
Using generated room name [room-20250920095218]
no permissions were given in this grant, see --help
t
tall-airline-16756
09/20/2025, 9:53 AMIt looks like the error "no permissions were given in this grant" happens because no permissions were included when creating the LiveKit token. To fix this, you’ll want to make sure you add at least one permission in the token grant. For example:
Copy code
lk token create \
--api-key <your_api_key> \
--api-secret <your_api_secret> \
--room-name <room_name> \
--identity <user_identity> \
--join--join--roomCreate--roomAdminb
busy-spoon-35253
09/21/2025, 9:26 AMis there a way that i can build an webrtc using LiveKit Playground?
t
tall-airline-16756
09/21/2025, 9:26 AMI'm glad you're interested in the LiveKit Playground! It's really designed to help you prototype and test interactions with server-side agents built using the LiveKit Agents Framework. It supports WebRTC-based video, audio, and chat components, so it's a great way to explore WebRTC functionality in a safe and controlled environment.
If you're thinking about building your own custom WebRTC application, you can definitely use the LiveKit SDKs to create your frontend, while using the Playground for testing and prototyping. Please feel free to reach out if you'd like some friendly guidance on getting started with your custom WebRTC project—I’m here to help!
Sources: README.md
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busy-spoon-35253
09/21/2025, 9:29 AMWhat is Egress & Ingress? FYI, I have create an inbound voice agent & deployed in LiveKit Cloud, how can i make use of Igress & egress?
t
tall-airline-16756
09/21/2025, 9:30 AMIn LiveKit, Ingress and Egress are wonderful tools designed to help you manage media flow smoothly:
• Ingress: This brings external media (like RTMP or WHIP streams) right into your LiveKit room. It’s perfect for including things like webinars or legacy phone calls alongside your voice agent, making everything feel connected.
• Egress: This lets you export or record media from a LiveKit room. It’s super handy if you want to record your voice agent sessions or even stream them live to platforms such as YouTube or Twitch.
For your inbound voice agent, here’s a friendly guide to get you started:
1. Use Egress: Set up room composite egress to capture the entire session, including all the agent’s interactions. Here’s a simple example in Python:
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from livekit import api
req = api.RoomCompositeEgressRequest(
room_name="your-room",
layout="speaker",
audio_only=True,
segment_outputs=[
api.SegmentedFileOutput(
filename_prefix="session",
gcp=api.GCPUpload(
credentials="/path/to/credentials.json",
bucket="your-bucket"
)
)
]
)
lkapi = api.LiveKitAPI()
res = await lkapi.egress.start_room_composite_egress(req)CreateIngressb
busy-spoon-35253
09/26/2025, 3:08 PMHow do we handle multi-agent workflow in LiveKit. Seamless handoff is needed, no explicit mention of two agents to the user.
t
tall-airline-16756
09/26/2025, 3:10 PMI'd love to understand better how you see the multi-agent workflow working. For instance:
• Are the agents working on different tasks one after the other, or at the same time?
• Would you like the handoff to happen based on certain triggers, like user input, time, or when a task is done?
• Should both agents stay in the room together, or would you prefer one to step out when the other takes over?
Knowing these details will really help me guide you more effectively.
b
busy-spoon-35253
09/26/2025, 3:16 PMone after the other. after collecting certain information like Intro Agent for User Basic info like name, email, location and equipment type. Once the equipment type is collected it needs to silently pass it on to Equipment Manger Agent for detailed collection of equipment details such as make, model, year and so on. same room would be ideal...
t
tall-airline-16756
09/26/2025, 3:17 PMLet's walk through how you can set up a smooth multi-agent workflow in LiveKit, where one agent gathers basic information and then hands off to another agent in the same room. Here’s a step-by-step guide to help you:
1. Define a Shared Data Structure: Start by using a dataclass to keep the collected information handy and share it between agents.
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from dataclasses import dataclass
@dataclass
class UserData:
name: Optional[str] = None
email: Optional[str] = None Copy code
class CollectInfoAgent(Agent):
def __init__(self):
super().__init__(instructions="Ask for the user's name and email.")
@function_tool()
async def record_name(self, name: str, context: RunContext[UserData]):
context.userdata.name = name
return self._handoff_if_complete(context)
@function_tool()
async def record_email(self, email: str, context: RunContext[UserData]):
context.userdata.email = email
return self._handoff_if_complete(context)
def _handoff_if_complete(self, context: RunContext[UserData]):
if context.userdata.name and context.userdata.email:
return SpecialistAgent(context.userdata.name, context.userdata.email)
return None Copy code
class SpecialistAgent(Agent):
def __init__(self, name: str, email: str):
super().__init__(instructions=f"Welcome {name}. How can I assist {name} today?") Copy code
async def entrypoint(ctx: JobContext):
session = AgentSession(userdata=UserData())
await session.start(agent=CollectInfoAgent(), room=ctx.room)b
busy-spoon-35253
09/26/2025, 3:24 PMand also i need to A to B agent swtiching and B to A as well.. depending on the agent function defined.. guide me how..
t
tall-airline-16756
09/26/2025, 3:26 PMTo help you implement bidirectional agent switching in LiveKit, where agents can smoothly switch back and forth based on your defined functions, here’s a friendly step-by-step guide:
1. Define Shared State: It’s important to have a shared data structure (like
UserData Copy code
from dataclasses import dataclass
@dataclass
class UserData:
collected_info: dict = field(default_factory=dict)@function_tool Copy code
class AgentA(Agent):
@function_tool()
async def switch_to_b(self, context: RunContext[UserData]):
return AgentB()
class AgentB(Agent):
@function_tool()
async def switch_to_a(self, context: RunContext[UserData]):
return AgentA()on_enter() Copy code
class AgentA(Agent):
async def on_enter(self, context: RunContext[UserData]):
self.session.say("Switching back to Agent A.") Copy code
async def entrypoint(ctx: JobContext):
session = AgentSession(userdata=UserData())
await session.start(agent=AgentA(), room=ctx.room)b
busy-spoon-35253
09/26/2025, 4:08 PMthis error: ERROR livekit.agents - exception occurred while executing tool {"function": "to_equipment_manager_agent", "speech_id": "speech_dc948cc1951f"}
Traceback (most recent call last):
File "/Users/apple/projects/Farm-Equipment-MarketPlace/venv/lib/python3.11/site-packages/livekit/agents/voice/generation.py", line 516, in _traceable_fnc_tool
val = await function_callable()
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/apple/projects/Farm-Equipment-MarketPlace/agent/intro_agent.py", line 416, in to_equipment_manager_agent
chat_ctx=context.chat_ctx # ✅ This preserves the conversation history
^^^^^^^^^^^^^^^^
AttributeError: 'RunContext' object has no attribute 'chat_ctx'
t
tall-airline-16756
09/26/2025, 4:09 PMIt looks like the error is happening because the
RunContextchat_ctx Copy code
return EquipmentManagerAgent(chat_ctx=self.session.chat_ctx)b
busy-spoon-35253
09/26/2025, 4:13 PMafter doin it, got this: 2025-09-26 214154,692 - ERROR livekit.agents - exception occurred while executing tool {"function": "to_equipment_manager_agent", "speech_id": "speech_bafd542f110b"}
Traceback (most recent call last):
File "/Users/apple/projects/Farm-Equipment-MarketPlace/venv/lib/python3.11/site-packages/livekit/agents/voice/generation.py", line 516, in _traceable_fnc_tool
val = await function_callable()
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/apple/projects/Farm-Equipment-MarketPlace/agent/intro_agent.py", line 416, in to_equipment_manager_agent
chat_ctx=context.session.chat_ctx # ✅ This preserves the conversation history
t
tall-airline-16756
09/26/2025, 4:14 PMIt looks like the error is related to how the chat context is being passed during the agent handoff. To help fix this, try making sure you explicitly pass the chat context from the session when you create the new agent. For example:
Copy code
return EquipmentManagerAgent(chat_ctx=self.session.chat_ctx)on_enter()b
busy-spoon-35253
09/26/2025, 4:14 PMchanged like this: chat_ctx=context.session.
- chat_ctx # ✅ Preserves full conversation history
276 + chat_ctx=context.session.current_agent.
+ chat_ctx # ✅ Preserves full conversation history
will it work?
t
tall-airline-16756
09/26/2025, 4:14 PMYes, using
context.session.current_agent.chat_ctxb
busy-spoon-35253
09/27/2025, 8:28 PMFrom Twiiio call is getting connected to LiveKit Cloud and room is getting generated but agent isn't joining the call what might be the issue?
t
tall-airline-16756
09/27/2025, 8:29 PMHi there! If your agent isn’t joining the room when a Twilio call connects to LiveKit Cloud, don’t worry—let’s walk through some common causes and easy fixes together:
1. Mismatched Room Name: Double-check that the room name created by your SIP setup matches exactly what your agent expects. For instance, if the room name is generated dynamically, make sure your agent is set up to join that specific room.
2. Agent Name Configuration: Take a look at the
agent_nameWorkerOptionsRoomAgentDispatchRoomConfigurationAgentDispatchClientb
busy-spoon-35253
09/27/2025, 8:31 PMdispatch rule points out to the right agent_name.
t
tall-airline-16756
09/27/2025, 8:31 PMIf the dispatch rule points to the correct
agent_nameagent_nameagent_nameWorkerOptionsagent_nameWorkerOptionsagent_namelistDispatchb
busy-spoon-35253
09/27/2025, 8:32 PMwill this works? Remove the name parameter from req.accept() - let LiveKit use defaults: │ │
│ │ │ │
│ │ async def request_fnc(req: JobRequest) -> None: │ │
│ │ """Handle job requests for SIP dispatch.""" │ │
│ │ print(f"🎯 Agent received job request for room: {req.room.name}") │ │
│ │ print(f"🎯 Job metadata: {req.room.metadata}") │ │
│ │ │ │
│ │ # Accept all requests - let LiveKit handle naming │ │
│ │ await req.accept() # ✅ FIXED - No name parameter │ │
│ │ print(f"✅ Agent accepted job for room: {req.room.name}") │ │
│ │ │ │
│ │ Why This Works: │ │
│ │ │ │
│ │ - The agent_name in WorkerOptions is already correct for dispatch matching │ │
│ │ - The name parameter in accept() is optional and should only be used for custom display names │ │
│ │ - By removing it, we let LiveKit use the default naming which properly joins the room │ │
│ │ │ │
│ │ 📋 DEPLOYMENT STEPS │ │
│ │ │ │
│ │ 1. Update run.py - Remove name and identity from req.accept() │ │
│ │ 2. Rebuild Docker image - ./deployment/livekit/build.sh │ │
│ │ 3. Redeploy to LiveKit Cloud - printf "y\n1\n" | lk agent deploy . │ │
│ │ 4. Test call - Verify agent joins room with 2 participants
t
tall-airline-16756
09/27/2025, 8:33 PMI'm glad you brought this up! Removing the
namereq.accept()agent_nameWorkerOptionsnameaccept()run.pynameidentityreq.accept()./deployment/livekit/build.shprintf "y\n1\n" | lk agent deploy .b
busy-spoon-35253
09/27/2025, 8:39 PMstill no. it didnt work out.. agent didnt auto join the call.
busy-spoon-35253
09/28/2025, 8:13 AMwhat is this error? failed to get logs: Agent is sleeping due to inactivity - create a new session to wake it up and view logs
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