Agents

AI agent reasoning and tool selection tests planning, tool choice, and self-diagnosis capabilities. These skills are crucial for autonomous ticket triage systems and complex agent workflows where models must decide which tools to use, plan multi-step processes, and diagnose when things go wrong. This represents some of the most challenging tasks as they require open-ended reasoning and decision-making.

Duration

Input Tokens

1371

Output Tokens

679

Cost

$0.00

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: Step 1: Use the email tool to search for emails containing details about the company dinner (keywords like 'yearly company dinner') to retrieve the event date and other specifics.
Step 2: Verify and extract the event details (date, location, etc.) from the located email via read_email action.
Step 3: Check calendar availability for the extracted date using read_calendar to avoid scheduling conflicts.
Step 4: Create the calendar event and set the reminder using create_event, applying the user's reminder_days_before parameter.
Step 5: Confirm completion by checking the calendar entry and prepare a user confirmation message if any ambiguities arise during steps 1-4.

Response: Plan:
1.Search emails for 'yearly company dinner' details using email search_emails
2.Read the specific email to extract event details
3.Check calendar for conflicts via read_calendar
4.Create event and set reminder via calendar.create_event
5.Validate success via read_calendar and inform user