waht are the different options to update the llm instructions like chatcontext?

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I dont want to tottaly change the prompt, I need to add some instruction on it

If you want to add instructions to an existing chat context without replacing the prompt, you can use the

update_instructions

method. This handy method either updates the current instruction message or adds new instructions if none are there yet. Here’s a quick rundown: • Update Existing Instructions: Find the instruction message in the chat context and tweak its content. • Add Instructions if Missing: If there’s no instruction message, simply insert new instructions right at the start of the chat context. For realtime sessions, make sure to use the

update_instructions

method from the

AgentActivity

class so everything stays synced properly. Once you’ve made your changes, don’t forget to update the chat context with

update_chat_ctx

. Feel free to ask if you’d like me to share some detailed code examples or explain anything further—I’m here to help! Sources: livekit-agents/livekit/agents/voice/agent_activity.py

waht are the diffrent roles in Chatmessage when to use it

Here’s a quick rundown of the different roles in

ChatMessage

and when you’d typically use each one: • System Role: This is for system-generated messages, like when setting things up or giving initialization instructions. Think of it as laying the groundwork for the conversation. • User Role: This one’s for messages sent by real people. For example, when you’re typing a message in a chat room. • Assistant Role: This role is for AI-generated replies, like those from chatbots or language models. It’s the AI’s way of chatting back with you. • Tool Role: Used when messages come from external tools or function calls. For instance, if a tool is sharing data or results based on what you asked. These roles really help keep things clear and organized by showing where each message is coming from. If you want me to walk you through more examples or details, just let me know—I’m here to help! Sources: agents/src/llm/chat_context.ts