mirror of
https://github.com/ItzCrazyKns/Perplexica.git
synced 2025-11-20 20:18:15 +00:00
feat(app): migrate suggestion chain
This commit is contained in:
@@ -1,7 +1,6 @@
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import generateSuggestions from '@/lib/agents/suggestions';
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import ModelRegistry from '@/lib/models/registry';
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import { ModelWithProvider } from '@/lib/models/types';
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import { BaseChatModel } from '@langchain/core/language_models/chat_models';
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import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
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interface SuggestionsGenerationBody {
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@@ -13,6 +12,13 @@ export const POST = async (req: Request) => {
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try {
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const body: SuggestionsGenerationBody = await req.json();
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const registry = new ModelRegistry();
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const llm = await registry.loadChatModel(
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body.chatModel.providerId,
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body.chatModel.key,
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);
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const chatHistory = body.chatHistory
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.map((msg: any) => {
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if (msg.role === 'user') {
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@@ -23,16 +29,9 @@ export const POST = async (req: Request) => {
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})
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.filter((msg) => msg !== undefined) as BaseMessage[];
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const registry = new ModelRegistry();
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const llm = await registry.loadChatModel(
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body.chatModel.providerId,
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body.chatModel.key,
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);
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const suggestions = await generateSuggestions(
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{
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chat_history: chatHistory,
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chatHistory,
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},
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llm,
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);
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@@ -1,55 +1,32 @@
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import { RunnableSequence, RunnableMap } from '@langchain/core/runnables';
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import ListLineOutputParser from '@/lib/outputParsers/listLineOutputParser';
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import { PromptTemplate } from '@langchain/core/prompts';
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import { ChatPromptTemplate, PromptTemplate } from '@langchain/core/prompts';
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import formatChatHistoryAsString from '@/lib/utils/formatHistory';
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import { BaseMessage } from '@langchain/core/messages';
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import { BaseMessage, HumanMessage, SystemMessage } from '@langchain/core/messages';
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import { BaseChatModel } from '@langchain/core/language_models/chat_models';
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import { ChatOpenAI } from '@langchain/openai';
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const suggestionGeneratorPrompt = `
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You are an AI suggestion generator for an AI powered search engine. You will be given a conversation below. You need to generate 4-5 suggestions based on the conversation. The suggestion should be relevant to the conversation that can be used by the user to ask the chat model for more information.
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You need to make sure the suggestions are relevant to the conversation and are helpful to the user. Keep a note that the user might use these suggestions to ask a chat model for more information.
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Make sure the suggestions are medium in length and are informative and relevant to the conversation.
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Provide these suggestions separated by newlines between the XML tags <suggestions> and </suggestions>. For example:
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<suggestions>
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Tell me more about SpaceX and their recent projects
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What is the latest news on SpaceX?
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Who is the CEO of SpaceX?
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</suggestions>
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Conversation:
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{chat_history}
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`;
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import { suggestionGeneratorPrompt } from '@/lib/prompts/suggestions';
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type SuggestionGeneratorInput = {
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chat_history: BaseMessage[];
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chatHistory: BaseMessage[];
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};
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const outputParser = new ListLineOutputParser({
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key: 'suggestions',
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});
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const createSuggestionGeneratorChain = (llm: BaseChatModel) => {
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return RunnableSequence.from([
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RunnableMap.from({
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chat_history: (input: SuggestionGeneratorInput) =>
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formatChatHistoryAsString(input.chat_history),
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}),
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PromptTemplate.fromTemplate(suggestionGeneratorPrompt),
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llm,
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outputParser,
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]);
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};
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const generateSuggestions = (
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const generateSuggestions = async (
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input: SuggestionGeneratorInput,
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llm: BaseChatModel,
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) => {
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(llm as unknown as ChatOpenAI).temperature = 0;
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const suggestionGeneratorChain = createSuggestionGeneratorChain(llm);
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return suggestionGeneratorChain.invoke(input);
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const chatPrompt = await ChatPromptTemplate.fromMessages([
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new SystemMessage(suggestionGeneratorPrompt),
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new HumanMessage(`<conversation>${formatChatHistoryAsString(input.chatHistory)}</conversation>`)
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]).formatMessages({})
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const res = await llm.invoke(chatPrompt)
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const suggestions = await outputParser.invoke(res)
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return suggestions
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};
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export default generateSuggestions;
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15
src/lib/prompts/suggestions/index.ts
Normal file
15
src/lib/prompts/suggestions/index.ts
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@@ -0,0 +1,15 @@
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export const suggestionGeneratorPrompt = `
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You are an AI suggestion generator for an AI powered search engine. You will be given a conversation below. You need to generate 4-5 suggestions based on the conversation. The suggestion should be relevant to the conversation that can be used by the user to ask the chat model for more information.
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You need to make sure the suggestions are relevant to the conversation and are helpful to the user. Keep a note that the user might use these suggestions to ask a chat model for more information.
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Make sure the suggestions are medium in length and are informative and relevant to the conversation.
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Provide these suggestions separated by newlines between the XML tags <suggestions> and </suggestions>. For example:
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<suggestions>
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Tell me more about SpaceX and their recent projects
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What is the latest news on SpaceX?
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Who is the CEO of SpaceX?
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</suggestions>
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Today's date is ${new Date().toISOString()}
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`;
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