Input Tokens
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Output Tokens
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Context
Input
Your first step is to break down the problem and formulate a step by step plan. What is the plan?
Expected output
(1) Ask the user how many days before they want the reminder. (2) Use the email tool to search for emails about the yearly gathering. (3) Read the relevant email to extract the event date. (4) Use the calendar tool to add the event. (5) Check for any calendar conflicts. (6) Add the reminder X days before the event
Model output
Reasoning: The user's task is to break down how AgentX would plan to handle creating a calendar event for a company dinner. Analysis shows that AgentX must systematically: 1) locate missing event details via email search, 2) validate/retrieve critical information, 3) check calendar availability, 4) create event with proper details, and 5) verify success. The context provides email and calendar tools, requiring sequential execution with verification at each step. The instructions emphasize thorough validation and user clarification when needed.
Response: 1. **Analyze Request**: Confirm key requirements - event name ('Yearly Company Dinner'), date, and reminder preference
2. **Email Retrieval**: Use email.search_emails(query='company dinner date details') to locate the information email
3. **Extract Details**: Use email.read_email() on the found email ID to get exact date and reminder requirements
4. **Conflict Check**: Use calendar.read_calendar(start_date=event_date-3d, end_date=event_date) to check for conflicts
5. **Clarification Protocol**: If details are missing in email -> request_user_input(prompt='Please specify preferred reminder days (3/5/7?)')
6. **Event Creation**: calendar.create_event(event_name=..., date=..., reminder_days_before=X)
7. **Verification**: Re-run calendar.read_calendar to confirm successful creation
8. **User Notification**: Report final status through system message