Files
AFFiNE-Mirror/plugins/copilot/src/core/chat.ts
T
2023-06-15 15:03:20 +08:00

106 lines
2.8 KiB
TypeScript

import { ConversationChain, LLMChain } from 'langchain/chains';
import { ChatOpenAI } from 'langchain/chat_models/openai';
import { BufferMemory } from 'langchain/memory';
import {
ChatPromptTemplate,
HumanMessagePromptTemplate,
MessagesPlaceholder,
PromptTemplate,
SystemMessagePromptTemplate,
} from 'langchain/prompts';
import { IndexedDBChatMessageHistory } from './langchain/message-history';
import { chatPrompt, followupQuestionPrompt } from './prompts';
declare global {
interface WindowEventMap {
'llm-start': CustomEvent;
'llm-new-token': CustomEvent<{ token: string }>;
}
}
export async function createChatAI(
room: string,
openAIApiKey: string
): Promise<{
conversationChain: ConversationChain;
followupChain: LLMChain<string>;
chatHistory: IndexedDBChatMessageHistory;
}> {
if (!openAIApiKey) {
console.warn('OpenAI API key not set, chat will not work');
}
const followup = new ChatOpenAI({
streaming: false,
modelName: 'gpt-3.5-turbo',
temperature: 0.5,
openAIApiKey: openAIApiKey,
});
const chat = new ChatOpenAI({
streaming: true,
modelName: 'gpt-3.5-turbo',
temperature: 0.5,
openAIApiKey: openAIApiKey,
callbacks: [
{
async handleLLMStart(llm, prompts, runId, parentRunId, extraParams) {
console.log(
'handleLLMStart',
llm,
prompts,
runId,
parentRunId,
extraParams
);
window.dispatchEvent(new CustomEvent('llm-start'));
},
async handleLLMNewToken(token, runId, parentRunId) {
console.log('handleLLMNewToken', token, runId, parentRunId);
window.dispatchEvent(
new CustomEvent('llm-new-token', { detail: { token } })
);
},
async handleLLMEnd(output, runId, parentRunId) {
console.log('handleLLMEnd', output, runId, parentRunId);
},
},
],
});
const chatPromptTemplate = ChatPromptTemplate.fromPromptMessages([
SystemMessagePromptTemplate.fromTemplate(chatPrompt),
new MessagesPlaceholder('history'),
HumanMessagePromptTemplate.fromTemplate('{input}'),
]);
const followupPromptTemplate = new PromptTemplate({
template: followupQuestionPrompt,
inputVariables: ['human_conversation', 'ai_conversation'],
});
const followupChain = new LLMChain({
llm: followup,
prompt: followupPromptTemplate,
memory: undefined,
});
const chatHistory = new IndexedDBChatMessageHistory(room);
const conversationChain = new ConversationChain({
memory: new BufferMemory({
returnMessages: true,
memoryKey: 'history',
chatHistory,
}),
prompt: chatPromptTemplate,
llm: chat,
});
return {
conversationChain,
followupChain,
chatHistory,
} as const;
}