Description:
As an AI chatbot, the ChatGPT API requires an update to seamlessly integrate context between the user and AI across chat sessions. Currently, the context is lost from one chat conversation to the next, resulting in a fragmented conversation history.
The updated API should maintain a seamless conversation flow with contextual integration, allowing for more personalized responses and better understanding of the user's intentions. When a user enters a new message, the API should take into account the previous chat exchanges to maintain the conversation context, even if the chat session has ended and a new one has begun.
To achieve this, the following technical modifications need to be made:
Technical Spec:
The ChatGPT API needs to store and retrieve previous conversation data. One approach is to store all previous chat messages as an array in memory. The API can then update this array with every new message received from the user. The updated array can be sent as part of the CreateChatCompletionRequest messages (https://platform.openai.com/docs/api-reference/chat/create#chat/create-messages) field, which expects an array of ChatCompletionRequestMessage objects. However, storing all previous messages in memory can lead to memory issues in the long run. A more scalable solution would be to store the messages in a database or other persistent storage, which can be queried and updated as needed. This can be implemented in a separate story.
openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"},
{"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."},
{"role": "user", "content": "Where was it played?"}
]
)
This implementation would be very different if this open issue was implemented by openapi - openai/openai-node#61
Testing:
To ensure the updated API works correctly, thorough testing is necessary. This testing should include unit testing, integration testing, and performance testing to ensure the API is stable, reliable, and performs well under different conditions.
Acceptance Criteria:
- The ChatGPT API should be updated to seamlessly integrate context between the user and AI across chat sessions.
- The updated API should maintain a seamless conversation flow with contextual integration, allowing for more personalized responses and better understanding of the user's intentions.
- The API should take into account previous chat exchanges, even if the chat session has ended and a new one has begun, to maintain the conversation context.
- The chat history should be displayed chronologically with integrated context, and users should be able to scroll up and down to view their previous messages.
- The ChatGPT API should store the chat history for each user session and seamlessly integrate it into subsequent chat sessions.
- Thorough testing should be conducted to ensure the updated API is stable, reliable, and performs well under different conditions.
By implementing these changes, the ChatGPT API can provide a more personalized and contextualized user experience, leading to better engagement and satisfaction.
This Story was created using ChatGPT 3 ๐ค