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require('dotenv').config();
const { ChatOpenAI } = require('langchain/chat_models/openai');
const { getBufferString, ConversationSummaryBufferMemory } = require('langchain/memory');
const chatPromptMemory = new ConversationSummaryBufferMemory({
llm: new ChatOpenAI({ modelName: 'gpt-3.5-turbo', temperature: 0 }),
maxTokenLimit: 10,
returnMessages: true,
});
(async () => {
await chatPromptMemory.saveContext({ input: 'hi my name\'s Danny' }, { output: 'whats up' });
await chatPromptMemory.saveContext({ input: 'not much you' }, { output: 'not much' });
await chatPromptMemory.saveContext(
{ input: 'are you excited for the olympics?' },
{ output: 'not really' },
);
// We can also utilize the predict_new_summary method directly.
const messages = await chatPromptMemory.chatHistory.getMessages();
console.log('MESSAGES\n\n');
console.log(JSON.stringify(messages));
const previous_summary = '';
const predictSummary = await chatPromptMemory.predictNewSummary(messages, previous_summary);
console.log('SUMMARY\n\n');
console.log(JSON.stringify(getBufferString([{ role: 'system', content: predictSummary }])));
// const { history } = await chatPromptMemory.loadMemoryVariables({});
// console.log('HISTORY\n\n');
// console.log(JSON.stringify(history));
})();
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