SendRequest() method » History » Revision 8
Revision 7 (Tomislav Pleše, 09/21/2025 08:59 AM) → Revision 8/19 (Tomislav Pleše, 09/21/2025 09:08 AM)
# 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 * 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 - sub-prompt under a Regular Point that by this becomes a Shard 1. FE - Create new Point 2. FE - Create a Shard in the current Prompt 3. FE - 3. FE - Show new Point on Screen - only the Prompt, under the previous Point 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 4. Existing Shard - sub-prompt under a Point that has already been a Shard