src/pages/api/llm.js

import { GoogleCustomSearch } from "openai-function-calling-tools";
import { LLMError, LLMStream } from './stream';

// @ts-expect-error
import wasm from '../../../node_modules/@dqbd/tiktoken/lite/tiktoken_bg.wasm?module';

import tiktokenModel from '@dqbd/tiktoken/encoders/cl100k_base.json';
import { Tiktoken, init } from '@dqbd/tiktoken/lite/init';

export const config = {
  
};

const handler = async (req) => {
  try {
    const { question } = (await req.json());

    await init((imports) => WebAssembly.instantiate(wasm, imports));

    const googleCustomSearch = new GoogleCustomSearch({
        apiKey: process.env.API_KEY,
        googleCSEId: process.env.CONTEXT_KEY,
    });

    const messages = [
        {
          role: "user",
          content: question,
        },
      ];
    
    const functions = {
        googleCustomSearch,
    };
    const encoding = new Tiktoken(
      tiktokenModel.bpe_ranks,
      tiktokenModel.special_tokens,
      tiktokenModel.pat_str,
    );

    let promptToSend = question;
    if (!promptToSend) {
      promptToSend = "";
    }

    let temperatureToUse = temperature;
    if (temperatureToUse == null) {
      temperatureToUse = 0.8;
    }

    const prompt_tokens = encoding.encode(promptToSend);

    let tokenCount = prompt_tokens.length;
    let messagesToSend = [];

    for (let i = messages.length - 1; i >= 0; i--) {
      const message = messages[i];
      const tokens = encoding.encode(message.content);

      if (tokenCount + tokens.length + 1000 > model.tokenLimit) {
        break;
      }
      tokenCount += tokens.length;
      messagesToSend = [message, ...messagesToSend];
    }

    encoding.free();

    const stream = await LLMStream(model, promptToSend, temperatureToUse, key, messagesToSend, functions);

    return new Response(stream);
  } catch (error) {
    console.error(error);
    if (error instanceof LLMError) {
      return new Response('Error', { status: 500, statusText: error.message });
    } else {
      return new Response('Error', { status: 500 });
    }
  }
};

export default handler;