Guides
Long-Term Memory
Create and restore conversation state without worrying about underlying storage infrastructure. Build chatbot with memory or complex stateless agent interactions.
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Create and restore conversation state without worrying about underlying storage infrastructure. Build chatbot with memory or complex stateless agent interactions.
const state = await getConversationState<Schema>(conversationId);
await setConversationState<Schema>(conversationId, state);
await updateConversationState<Schema>(conversationId, state);
await createConversationState<Schema>(conversationId, state);
import {
Chat,
// import conversation state management functions
getConversationState,
setConversationState,
} from "@palico-ai/app";
const handler: Chat = async ({
conversationId,
isNewConversation,
userMessage,
}) => {
let state: {
messages: OpenAIMessage[];
};
// create or restore conversation state
if (isNewConversation) {
state = { messages: [] };
} else {
state = await getConversationState(conversationId);
}
// add user message to conversation state and call LLM
state.messages.push({ role: "user", content: userMessage });
const response = await openai.chat.completions.create({
model: "gpt-3.5-turbo-0125",
messages: state.messages,
});
const responseMessage = response.choices[0].message.content;
// add agent message to conversation state
state.messages.push({ role: "agent", content: responseMessage });
// save conversation state
await setConversationState(conversationId, state);
return { message: responseMessage };
};