feat: support multiple events extraction and creation

Author: Avivbens

projects/packages/ai-calendar-assistant/info.plist

@@ -16,14 +16,14 @@
           <key>modifiersubtext</key>
           <string></string>
           <key>vitoclose</key>
-          <false></false>
+          <true></true>
         </dict>
       </array>
     </dict>
     <key>createdby</key>
     <string>Aviv Ben Shahar</string>
     <key>description</key>
-    <string>TODO</string>
+    <string>Effortlessly create calendar events using natural language with AI Calendar Assistant ✨</string>
     <key>disabled</key>
     <false></false>
     <key>name</key>
@@ -110,11 +110,16 @@ This workflow has been created using Fast Alfred, a user-friendly workflow build
 
 ## Features
 
-// TODO
+- **Natural Language Processing:** Create events using everyday language.
+- **Automatic Detail Extraction:** Intelligently extracts the event title, date, time, and duration.
+- **Timezone Correction:** Automatically adjusts for your local timezone.
+- **Flexible Time Input:** Understands relative dates like "next Monday" or "tomorrow morning."
 
 ## Usage
 
-// TODO
+1. Type `ca` in Alfred to activate the workflow (configurable in the workflow settings).
+2. Enter the event details in natural language (e.g., "Meeting with John next Friday at 2pm for like 2-3 hours").
+3. Press Enter to create the event in your calendar.
 
 To view the workflow codebase, click here:
 https://github.com/Avivbens/alfredo</string>

projects/packages/ai-calendar-assistant/src/common/prompts/extract-event-name.prompt.ts

@@ -3,37 +3,37 @@ import { PromptTemplate } from '@langchain/core/prompts';
 export const EXTRACT_EVENT_SYSTEM_PROMPT = new PromptTemplate({
   inputVariables: ['currentDate'],
   template: `You are an AI assistant that extracts calendar event details from text.
-Your task is to analyze the user's input and generate a valid JSON object containing the extracted information.
+Your task is to analyze the user's input and generate a list of events.
 Pay close attention to the context to determine the correct date and time, especially for relative dates like "next Monday" or "tomorrow".
 The current date is: {currentDate}. Use this for relative dates.
-
 If no end time is specified, assume a 1-hour duration.
 If a general time of day is mentioned (e.g., 'morning', 'afternoon', 'evening'), use a reasonable time (e.g., 9am for morning, 3pm for afternoon, 7pm for evening).
-Your response must be ONLY the JSON object.
+Your response must be ONLY the list of events.
 
 ---
 Here are some examples of the expected key-value pairs.
 
-Input: "I have a dentist appointment at 10:30 AM next Monday."
+Input: "I have a dentist appointment at 10:30 AM next Monday and a meeting with the team at 3pm."
 Expected key-values:
+Event 1:
 summary: "Dentist appointment"
 startDate: "2025-06-30T10:30:00"
-endDate: "2025-06-30T11:30:00"
+endDate: "2025-06-30T11:30:00
+
+Event 2:
+summary: "Meeting with the team"
+startDate: "2025-06-30T15:00:00"
+endDate: "2025-06-30T16:00:00"
 
 ---
 Input: "Book a meeting with the marketing team for this Friday from 2 to 3pm to review the new campaign. It will be on Google Meet."
 Expected key-values:
+Event 1:
 summary: "Meeting with the marketing team"
 startDate: "2025-06-27T14:00:00"
 endDate: "2025-06-27T15:00:00"
 description: "Review the new campaign."
-location: "Google Meet"
+location: Google Meet
 
----
-Input: "Let's have a quick sync tomorrow morning."
-Expected key-values:
-summary: "Quick sync"
-startDate: "2025-06-26T09:00:00"
-endDate: "2025-06-26T10:00:00"
 `,
 });

projects/packages/ai-calendar-assistant/src/main/extract-event.ts

@@ -4,7 +4,7 @@ import { AvailableModels, callModelWithStructuredResponse } from '@alfredo/llm';
 import { DEFAULT_DEBOUNCE_TIME } from '../common/defaults.constants';
 import { EXTRACT_EVENT_SYSTEM_PROMPT } from '../common/prompts/extract-event-name.prompt';
 import { Variables } from '../common/variables.enum';
-import { GeminiCalendarEventSchema, OpenAICalendarEventSchema } from '../models/calendar-event.model';
+import { GeminiCalendarEventsSchema, OpenAICalendarEventsSchema } from '../models/calendar-event.model';
 import { adjustForTimezone, beautifyDate } from '../services/date.service';
 
 (async () => {
@@ -37,18 +37,16 @@ import { adjustForTimezone, beautifyDate } from '../services/date.service';
     /**
      * Select schema based on the model
      */
-    const calendarEventSchema = model.includes('gemini') ? GeminiCalendarEventSchema : OpenAICalendarEventSchema;
+    const calendarEventsSchema = model.includes('gemini') ? GeminiCalendarEventsSchema : OpenAICalendarEventsSchema;
 
     const system = await EXTRACT_EVENT_SYSTEM_PROMPT.format({ currentDate: new Date().toISOString() });
-    const event = await callModelWithStructuredResponse(
+    const events = await callModelWithStructuredResponse(
       token,
       model,
       { system, user: alfredClient.input },
-      calendarEventSchema,
+      calendarEventsSchema,
     );
 
-    const events = [event];
-
     const items: AlfredListItem[] = events.map((currEvent) => {
       const { allDayEvent, endDate, startDate, summary, description, location, url } = currEvent;
 

projects/packages/ai-calendar-assistant/src/models/calendar-event.model.ts

@@ -50,6 +50,8 @@ export const OpenAICalendarEventSchema = z
   })
   .transform(eventTransform);
 
+export const OpenAICalendarEventsSchema = z.array(OpenAICalendarEventSchema);
+
 // Schema for Gemini models: uses .optional() for optional fields
 export const GeminiCalendarEventSchema = z
   .object({
@@ -63,4 +65,7 @@ export const GeminiCalendarEventSchema = z
   })
   .transform(eventTransform);
 
+export const GeminiCalendarEventsSchema = z.array(GeminiCalendarEventSchema);
+
 export type CalendarEvent = z.infer<typeof GeminiCalendarEventSchema>;
+export type CalendarEvents = z.infer<typeof GeminiCalendarEventsSchema>;