SendRequest() method¶

Context is created from message with following roles:

• system (content: instructions to AI model),
• assistant (content: AI model responses),
• user (content: user prompts)

Context is created as a messageList where:

• first element is the assistant role/content if it exists
• following elements are an ascending list of user prompts and assistant responses in ascending order
• last element is the newest user prompt

Sub-prompt is a prompt that is created from the contents of the Response of the currently selected Point (node - prompt + respnse). This:

• creates a new regular Point
• Regular Point
  1st Sharding - Regular Point becomes Shard Point (ThreadMap = not empty, ShardList = empty) - Shard is created and added to ShardList, new Point is added to ShardPointChildren
• previous Response creates a new Point that is inserted in between the response of a current Regular Point. The splitting of the current Point is at the point of that by this becomes a Shard

Cases for the flow of sending requests to AI model:

1. Root Point - First Prompt

   1. FE - Create new Point
   2. FE - Show new Point on Screen - only the Prompt
   3. FE - Create Context as the messageList.
   4. FE - Send new Point and the messageList to BE
   5. BE - Save new Point to DB
   6. BE - Send messageList to OpenAI. The JSON should comprise of: model, messages, max_tokens
   7. BE - Receive the Response from OpenAI
   8. BE - Save Response to DB (into the previously saved new Point document)
   9. BE - Send the new Point (with updated Response and other elements like Metadata) to FE
   10. FE - Show updated new Point on Screen - node consisting of both Prompt message content and Response message content

2. Existing Point - Second prompt

   1. FE - Create new Point
   2. FE - Show new Point on Screen - the Prompt, under the previous Point
   3. FE - Create Context as the messageList.
   4. FE - Send new Point and the messageList to BE
   5. BE - Save new Point to DB
   6. BE - Send messageList to OpenAI. The JSON should comprise of: model, messages, max_tokens
   7. BE - Receive the Response from OpenAI
   8. BE - Save Response to DB (into the previously saved new Point document)
   9. BE - Send the new Point (with updated Response and other elements like Metadata) to FE
   10. FE - Show updated new Point on Screen - node consisting of both Prompt message content and Response message content

3. New shard -

   1. FE - Create new Point
   2. FE - Create a Shard in the current Prompt

4. FE -
   3. FE - Show new Point on Screen - the Prompt, under the previous Point
   3. FE - Create Context as the messageList.
   4. FE - Send new Point and the messageList to BE
   5. BE - Save new Point to DB
   6. BE - Send messageList to OpenAI. The JSON should comprise of: model, messages, max_tokens
   7. BE - Receive the Response from OpenAI
   8. BE - Save Response to DB (into the previously saved new Point document)
   9. BE - Send the new Point (with updated Response and other elements like Metadata) to FE
   10. FE - Show updated new Point on Screen - node consisting of both Prompt message content and Response message content

5. Existing Shard - sub-prompt under a Point that has already been a Shard