Does chat context manages all the chats of room until the call ends?

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

How to access data in chat context and what fields are maintained by defaulg

Hey there! Let me walk you through how you can easily access data in LiveKit's chat context. It's pretty straightforward, and I'll break it down in a friendly way. Accessing Data: • JavaScript/TypeScript: Think of the

ChatContext

like your chat's personal assistant. You can grab all your messages and even add new ones super easily. Check this out:

const chatContext = new ChatContext();
const allMessages = chatContext.messages;
chatContext.append({ text: "Hello", role: ChatRole.USER });

• Python: Same idea here - just a simple way to manage your chat data. It's like having a neat little chat organizer:

chat_ctx = ChatContext()
all_items = chat_ctx.items
chat_ctx.add_message(role="user", content="Hello")

Default Fields Maintained: • Core Protocol: Fields include

id

,

timestamp

,

message

,

editTimestamp

,

deleted

, and

generated

. • JavaScript SDK: Additional fields include

role

,

name

,

content

,

toolCalls

,

toolCallId

, and

toolException

. • Python SDK: Fields include

id

,

type

,

role

,

content

,

interrupted

,

transcript_confidence

,

hash

, and

created_at

. • Flutter SDK: Fields include

message

,

timestamp

,

id

,

sender

, and

participant

. Don't worry about the details - LiveKit's got your back and automatically handles all these fields for you behind the scenes! Sources: agents/src/llm/chat_context.ts | livekit-agents/livekit/agents/llm/chat_context.py | External data and RAG | LiveKit Docs | packages/livekit-rtc/src/proto/room_pb.ts | lib/src/context/chat_context.dart

Is it correct run_context.agent.chat.chat_ctx?

Hey there! Let me help you understand how to access the chat context in LiveKit. It's actually pretty straightforward depending on which SDK you're using: • Python: If you're working with Python, you'll want to use the

Agent

class's

chat_ctx

property. It's super easy – just type

agent.chat_ctx

and you'll get a read-only view of your current chat context. • JavaScript/TypeScript: For JavaScript or TypeScript fans, the

VoicePipelineAgent

and

LLMStream

classes have a handy

chatCtx

accessor. Just grab it with

agent.chatCtx

. I noticed you might have been trying to use

run_context.agent.chat.chat_ctx

, but that doesn't quite match up with the documented ways of accessing the chat context. No worries though – stick with the methods I mentioned, and you'll be good to go! Sources: livekit-agents/livekit/agents/voice/audio_recognition.py | VoicePipelineAgent | LiveKit Agents | LLMStream | LiveKit Agents

How to use it agent.chat_ctx import statement

Hey there! Let me walk you through importing

agent.chat_ctx

in LiveKit – it's actually pretty simple. 😊 • Basic Import for Agent:

from livekit.agents import Agent

• If you also need ChatContext directly:

from livekit.agents import Agent, ChatContext

• Alternative Import Using the llm Module:

from livekit.agents import Agent, llm
# Then use llm.ChatContext

• Or Import ChatContext from the llm Submodule:

from livekit.agents import Agent
from livekit.agents.llm import ChatContext

Quick tip:

agent.chat_ctx

gives you a read-only peek into the agent's current chat context as an

llm.ChatContext

object. Cool, right? Here's a quick example to help you get started:

from livekit.agents import Agent

# Create an agent instance
agent = Agent(instructions="You are a helpful assistant.")

# Access the chat context
chat_context = agent.chat_ctx

Pro tip: The most straightforward way is just using

from livekit.agents import Agent

, which lets you easily access the

chat_ctx

property on your agent. Happy coding! 🚀 Sources: livekit-agents/livekit/agents/voice/agent_activity.py

I don't want to create agent would be dispatch using dispatcheragent but it should be available in other file

I don't have the answer you're looking for. You could also try asking your question: • in one of the other Slack channels or • to https://deepwiki.com/livekit/livekit_composite which is trained on all LiveKit source code If you find the answer, please post it here to help others!