clever-crayon-54502
08/07/2025, 4:59 PMtall-airline-16756
08/07/2025, 4:59 PMclever-crayon-54502
08/07/2025, 5:33 PMtall-airline-16756
08/07/2025, 5:34 PMclever-crayon-54502
08/07/2025, 5:34 PMtall-airline-16756
08/07/2025, 5:34 PMioredis
or redis
in Node.js to connect and interact with Redis easily.
2. Save Messages: Whenever a new message comes in, just store it in Redis using a unique key—something like the room ID or user ID works great.
3. Retrieve Messages: When you need to get messages, like when someone joins a chat room, you can fetch them straight from Redis.
Here’s a simple example in Node.js to get you started:
const Redis = require('ioredis');
const redis = new Redis();
// Save a message
function saveMessage(roomId, message) {
const key = `chat:${roomId}`;
redis.rpush(key, JSON.stringify(message));
}
// Retrieve messages
async function getMessages(roomId) {
const key = `chat:${roomId}`;
const messages = await redis.lrange(key, 0, -1);
return messages.map(msg => JSON.parse(msg));
}
// Example usage
saveMessage('room1', { sender: 'user1', content: 'Hello!', timestamp: Date.now() });
getMessages('room1').then(messages => console.log(messages));
If you want, I’m here to help you dive deeper or troubleshoot anything along the way. Just let me know!clever-crayon-54502
08/07/2025, 5:35 PMtall-airline-16756
08/07/2025, 5:35 PMAgentSession
, there are a few different ways you can go about it, depending on what fits your needs best:
1. Using a Key-Value Store: You could save messages in a key-value store like Redis or another in-memory database. For instance, if you’re working with TypeScript, kv.hmset
and kv.zadd
are handy for storing messages and linking them to a user or session.
2. Event Listeners: If you’re using Python, you can tap into events like user_speech_committed
or agent_stopped_speaking
to catch and log messages as they happen.
3. ChatContext: Another option is to add messages to a ChatContext
object, which keeps track of the conversation history during the session—great for temporary storage.
If you want, I can share some detailed examples for any of these methods. Or if you have a particular programming language or storage option in mind, just let me know!
Sources: Sending text | LiveKit Docs | Sending text | LiveKit Docs | client/app/actions.ts | examples/voice_agents/realtime_load_chat_history.py | VoicePipelineAgent | LiveKit Docsclever-crayon-54502
08/07/2025, 5:41 PMtall-airline-16756
08/07/2025, 5:42 PMAgentSession
by setting up a custom solution. Here are a couple of ways you might do this:
1. Using ChatContext: You can load chat history into the session with ChatContext
. Here’s a quick example:
chat_ctx = llm.ChatContext.empty()
for item in chat_history:
chat_ctx.add_message(role=item["role"], content=item["content"])
session = AgentSession()
agent = Agent(
instructions="You are a helpful assistant.",
llm=openai.realtime.RealtimeModel(modalities=["text"]),
chat_ctx=chat_ctx,
)
await session.start(agent=agent, room=ctx.room)
1. Save Chat History to a File: Another way is to use the add_shutdown_callback
method to save the chat history when the session ends:
def save_chat_history(session: AgentSession):
history = session.history
chat_history = [
{"role": msg.role.name, "content": msg.text_content}
for msg in history if isinstance(msg, llm.ChatMessage)
]
with open("chat_history.json", "w") as f:
json.dump(chat_history, f, indent=2)
session.add_shutdown_callback(save_chat_history)
If you want, I’d be happy to walk you through these methods in more detail or help out with any specific part of the implementation. Just let me know!
Sources: Sending text | LiveKit Docs | ChatContext | LiveKit Agents | Session recording and transcripts | LiveKit Docsclever-crayon-54502
08/07/2025, 5:44 PMtall-airline-16756
08/07/2025, 5:45 PM@agent.on("user_speech_committed")
def on_user_message(msg: llm.ChatMessage):
# Save the message immediately
save_message({
"role": "user",
"content": msg.text_content,
"timestamp": datetime.now().isoformat()
})
@agent.on("agent_stopped_speaking")
def on_agent_message(msg: llm.ChatMessage):
# Save the message immediately
save_message({
"role": "assistant",
"content": msg.text_content,
"timestamp": datetime.now().isoformat()
})
def save_message(message):
# Example: Save to a file or database
with open("chat_history.json", "a") as f:
f.write(json.dumps(message) + "\n")
If you want, I’d be happy to help you tweak this for your specific storage setup or programming language. Just let me know!clever-crayon-54502
08/07/2025, 5:46 PMlk.chat
topic?tall-airline-16756
08/07/2025, 5:46 PMlk.chat
topic. Just use the setupDataMessageHandler
function to listen for incoming messages and then store them wherever works best for you.
Here’s a simple example in JavaScript to get you started:
const { messageObservable } = setupDataMessageHandler(room, 'lk.chat');
messageObservable.subscribe((message) => {
// Save the message to your storage solution
saveMessageToDatabase({
id: message.id,
sender: message.from?.identity,
content: message.message,
timestamp: new Date(message.timestamp)
});
});
If you want, I’d be happy to help you tweak this for a specific storage option or programming language. Just let me know!
Sources: Sending text | LiveKit Docsclever-crayon-54502
08/07/2025, 5:48 PMon
tall-airline-16756
08/07/2025, 5:49 PMclever-crayon-54502
08/07/2025, 5:56 PM