OpenAI API - Handling different prompts but same context with a fined tuned model

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If you want multi-turn conversations where the AI is aware of previous chat, your software must remember those prior conversations of the user’s session and pass them again before the latest question. And then manage so the chat doesn’t get too long.

Here is a code example in a forum topic on the same question:

GPT-3.5-turbo how to remember previous messages like Chat-GPT website

I developed this node.js script to save every GPT-4 request and response into a JSON file. It then sends the file content as conversation history with each new prompt. // Import required modules const fs = require('fs'); const axios = require('axios'); // Your OpenAI API key const apiKey = 'your-openai-api-key'; // Function to interact with OpenAI API async function interactWithAI(userPrompt) { try { // Define the message data structure let messageData = { 'messages': [] …

and an easier to understand python example I wrote for forum instruction:

GPT-3.5-turbo how to remember previous messages like Chat-GPT website

I wrote up a very small python gpt-3.5-turbo chatbot for you: Complete record of conversation, "chat", passes 5 previous question/answers from chat to the AI so the topic is clear, streaming generator, so you receive words as they are created, tolerates no API errors edit in your own API key to use; type exit to leave import openai openai.api_key = "sk-xxxxx" system = [{"role": "system", "content": "You are a helpful AI assistant."}] user = [{"role": "user", "content": "Introduce yourself."}…