Prompt Issue

[lakshya29154]

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Example Code

/*eslint-disable*/
import fs from 'fs/promises';
import { OpenAI } from "@langchain/openai";
import { PromptTemplate } from "@langchain/core/prompts";

const OPENAI_API_KEY = "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";

export async function handlePdfUpload(pdf, query) {
  console.log("This is pdf", pdf.path);
  console.log("This is query", query);

  let bufferData;
  try {
    let bufferData = await fs.readFile(pdf.path);
    console.log(bufferData.toString());
    bufferData = bufferData.toString();
  } catch (err) {
    console.log(err);
    return;
  }

  const model = new OpenAI({ temperature: 0, apiKey: OPENAI_API_KEY });
  const API_URL_PROMPT_TEMPLATE1 = `You have given the information ${bufferData} give me any data contained in file in response:
        
  Information:
  ${bufferData}
  
  Question:
  ${query}
  `;

  const API_URL_PROMPT_TEMPLATE = new PromptTemplate({
    inputVariables: ["bufferData", "query"],
    template: API_URL_PROMPT_TEMPLATE1,
  });

  const apiUrlPrompt = await API_URL_PROMPT_TEMPLATE.format({
    bufferData: bufferData,
    query: query,
  });

  const apiUrlResponse = await model.generate([apiUrlPrompt]);
  console.log("OPEN API RESPONSE:", JSON.stringify(apiUrlResponse, null, 2));
  return apiUrlResponse;
}

Description

When I pass the data and query to openAI it will always give me same ans cant provide answer why it is happening

System Info

all good

[dosubot[bot]]

The issue you're encountering where the OpenAI API always returns the same answer is likely due to the temperature parameter being set to 0. This setting makes the model deterministic, meaning it will always return the same response for the same input.

To introduce variability in the responses, you should increase the temperature parameter. Here is an updated version of your code with the temperature set to 0.7:

/*eslint-disable*/
import fs from 'fs/promises';
import { OpenAI } from "@langchain/openai";
import { PromptTemplate } from "@langchain/core/prompts";

const OPENAI_API_KEY = "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";

export async function handlePdfUpload(pdf, query) {
  console.log("This is pdf", pdf.path);
  console.log("This is query", query);

  let bufferData;
  try {
    bufferData = await fs.readFile(pdf.path);
    console.log(bufferData.toString());
    bufferData = bufferData.toString();
  } catch (err) {
    console.log(err);
    return;
  }

  const model = new OpenAI({ temperature: 0.7, apiKey: OPENAI_API_KEY });
  const API_URL_PROMPT_TEMPLATE1 = `You have given the information ${bufferData} give me any data contained in file in response:
        
  Information:
  ${bufferData}
  
  Question:
  ${query}
  `;

  const API_URL_PROMPT_TEMPLATE = new PromptTemplate({
    inputVariables: ["bufferData", "query"],
    template: API_URL_PROMPT_TEMPLATE1,
  });

  const apiUrlPrompt = await API_URL_PROMPT_TEMPLATE.format({
    bufferData: bufferData,
    query: query,
  });

  const apiUrlResponse = await model.generate([apiUrlPrompt]);
  console.log("OPEN API RESPONSE:", JSON.stringify(apiUrlResponse, null, 2));
  return apiUrlResponse;
}

By setting the temperature to 0.7, you allow the model to generate more varied responses. You can further adjust this value to control the randomness of the output. Additionally, you might want to consider other parameters like maxTokens, topP, frequencyPenalty, and presencePenalty to fine-tune the responses ^[1].

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