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

1331

Output Tokens

231

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: The user has asked me to break down the problem and formulate a step-by-step plan. The problem is adding the yearly company dinner to the calendar with a reminder, based on an email. I will create a clear, ordered plan that reflects the instructions: understand intent, search for the email, extract event details, check the calendar for conflicts, create the event with a reminder, and confirm completion.

Response: Step-by-step plan to complete the yearly company dinner task:

1. Clarify user intent and missing details (if any) using request_user_input.
2. Search emails with query "yearly company dinner" to find the relevant message.
3. Read the located email to extract event name, date, time, location, and any special instructions.
4. Perform a calendar read for the target date range to check for conflicts.
5. Ask the user how many days before the event they want the reminder.
6. Create the calendar event with the correct name, date, and reminder.
7. Confirm with the user that the event has been added successfully.