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

1373

Output Tokens

192

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: <thought_process>
1. The user wants to add a company dinner event to their calendar and set a reminder.
2. The user referenced an email with more details but didn't provide specifics.
3. I need to find out the exact date and other details about the dinner.
4. The plan should involve searching emails for the dinner information, then creating the calendar event.
</thought_process>

Response: Here's the plan:
1. Search emails for information about the company dinner.
2. Extract the relevant details (date, time, location, etc.) from the email.
3. Check the calendar for any conflicts on the dinner date.
4. Add the dinner event to the calendar with the extracted details.
5. Set a reminder for the specified number of days before the event.