How to remember messages from different ChatCompletion Instances

I'm trying to run some commands with the chatgpt api and its not running everything so I made another ChatCompletion instance. How can I get chatgpt to remember the prompts I sent in a previous instance? Here is my code:

data = openai.ChatCompletion.create(
  model="gpt-3.5-turbo",
  messages=[
        {"role": "user", "content": "Generate a title"},
        {"role": "user", "content": "Generate 30 chapters"},
    ]
)

data2 = openai.ChatCompletion.create(
  model="gpt-3.5-turbo",
  messages=[
          {"role": "user", "content": "Generate chapter 1"},
])

Solution

To be able to Keep the Model in context, You must send previous conversations along with the current prompt.

[Note: Conversation History Must Be less than Token Limit in Order to Expect Proper Behaviour From the Model, To avoid this you can summarize the conversation after nth response or use text-embedding ]

Here is a example code:

import openai
import time

# Set your OpenAI API key
openai.api_key = "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxx"

# Define the engine and the query
engine = "gpt-3.5-turbo"
query = "Generate a title"

# Start a new conversation with an empty list of messages
messages = []

# Call the Chat Completion API to generate a title
data = openai.ChatCompletion.create(
  engine=engine,
  query=query,
  messages=messages
)

# Print the generated title
title = data["message"]
print(title)

# Update the messages with the title
messages.append({"role": "assistant", "content": title})

# Define a function to generate chapters
def generate_chapters(n):
  # Loop for n times
  for i in range(n):
    # Generate a query for each chapter
    query = f"Generate chapter {i+1}"
    # Call the Chat Completion API to generate a chapter
    data = openai.ChatCompletion.create(
      engine=engine,
      query=query,
      messages=messages
    )
    # Print the generated chapter
    chapter = data["message"]
    print(chapter)
    # Update the messages with the chapter
    messages.append({"role": "assistant", "content": chapter})
    # Wait for 10 seconds before generating the next chapter
    time.sleep(10)

# Generate 30 chapters
generate_chapters(30)