feat: improved template-based system prompt

This commit is contained in:
Owen Gretzinger
2025-07-11 15:39:26 -04:00
parent 19d7ae340b
commit d3d42dabee
5 changed files with 171 additions and 18 deletions
+24 -14
View File
@@ -10,15 +10,13 @@ class NotesGenerator {
private init() {}
/// Generates meeting notes from transcript and user notes
/// Generates meeting notes from meeting data using template-based system prompt
/// - Parameters:
/// - transcript: The meeting transcript
/// - userNotes: Additional notes from the user
/// - meeting: The meeting object containing all necessary data
/// - userBlurb: Information about the user for context
/// - systemPrompt: The system prompt for AI generation
/// - systemPrompt: The system prompt template with placeholders
/// - Returns: Generated meeting notes
func generateNotes(transcript: String,
userNotes: String,
func generateNotes(meeting: Meeting,
userBlurb: String,
systemPrompt: String) async throws -> String {
@@ -28,15 +26,27 @@ class NotesGenerator {
let openAI = OpenAI(apiToken: apiKey)
// Compose system prompt with user blurb wrapped in XML tags for clarity
let systemContent = "\(systemPrompt)\n\n<user_blurb>\n\(userBlurb)\n</user_blurb>"
// Create date formatter for meeting date
let dateFormatter = DateFormatter()
dateFormatter.dateStyle = .full
dateFormatter.timeStyle = .short
// Prepare template variables
let templateVariables: [String: String] = [
"meeting_title": meeting.title.isEmpty ? "Untitled Meeting" : meeting.title,
"meeting_date": dateFormatter.string(from: meeting.date),
"transcript": meeting.formattedTranscript,
"user_blurb": userBlurb,
"user_notes": meeting.userNotes
]
// Process the system prompt template
let systemContent = Settings.processTemplate(systemPrompt, with: templateVariables)
let systemMessage = ChatQuery.ChatCompletionMessageParam(role: .system, content: systemContent)!
// Provide the model with structured XML-tagged input variables for improved parsing
let userContent = "<task>Generate concise and well-structured meeting notes using the information below.</task>\n\n<transcript>\n\(transcript)\n</transcript>\n\n<user_notes>\n\(userNotes)\n</user_notes>"
let userMessage = ChatQuery.ChatCompletionMessageParam(role: .user, content: userContent)!
let query = ChatQuery(messages: [systemMessage, userMessage], model: .gpt4_1_mini)
print(systemContent)
let query = ChatQuery(messages: [systemMessage], model: .gpt4_1)
let result = try await openAI.chats(query: query)