https://livekit.io logo
Join Slack
Powered by
<@U084APK40NS> does the chat_ctx option in the Voi...
# ask-ai
s
@millions-hair-24956 does the chat_ctx option in the Voice pipeline agent act as a memory?
g
Yes, the 
chat_ctx
option in the VoicePipelineAgent acts as a memory by storing the chat history. It maintains the conversation context, which can be accessed and modified during the interaction. This context is crucial for the agent to understand the flow of conversation and respond appropriately. According to LiveKit documentation, the 
chat_ctx
is where the chat history lives, and it can be manipulated to manage the conversation flow effectively. Would you like more details on how to manage or manipulate this context? Sources: - LiveKit documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.
s
@millions-hair-24956 so if a question is already saved into the memory, and I am using the before llm callback to retrieve data using my RAG service how can i skip the RAG step and answer from the memory?
@millions-hair-24956 so if a question is already saved into the memory, and I am using the before llm callback to retrieve data using my RAG service how can i skip the RAG step and answer from the memory?
g
It seems likely that you can use the 
before_llm_cb
callback to decide whether to skip the RAG step and answer from memory. By examining the 
chat_ctx
within the 
before_llm_cb
, you can check if the question has already been answered and stored in the chat context. If it has, you can bypass the RAG service and directly use the stored response. Here's a basic approach: 1. Check Chat Context: In the 
before_llm_cb
, inspect the 
chat_ctx
to see if the current question or a similar one has been previously answered. 2. Skip RAG: If the answer exists in the 
chat_ctx
, return the stored response instead of calling the RAG service. 3. Proceed with RAG: If the answer is not found, proceed with the RAG service to retrieve the necessary data. Would you like more detailed guidance or a code example on implementing this logic? Sources: - https://docs.livekit.io/python/livekit/agents/voice_assistant/index.html#args 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.
It seems likely that you can achieve this by using the 
before_llm_cb
callback to check if the question is already present in the 
chat_ctx
. If the question is found in the memory, you can skip the RAG step and directly use the stored response. According to the LiveKit documentation, the 
before_llm_cb
allows you to modify the chat context before it is sent to the LLM, which can be used to implement this logic. Here's a basic outline of how you might implement this: 1. Check Memory: In the 
before_llm_cb
, inspect the 
chat_ctx
to see if the current question has been asked before. 2. Skip RAG: If the question is found, retrieve the stored response from the 
chat_ctx
and return it, bypassing the RAG service. 3. Proceed with RAG: If the question is not found, proceed with the RAG service to retrieve the necessary data. Would you like more detailed guidance or a code example on how to implement this? Sources: - LiveKit documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.
Open in Slack
PreviousNext
Powered by