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.

Input Tokens

46494

Output Tokens

5712

Duration

127668.251

Cost

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 wants me to add a yearly company dinner event to their calendar with a reminder. To do this, I need to follow these steps:

1. **Search for the email** containing the details of the company dinner using the email tool. I will use the keyword 'yearly company dinner' to find the relevant email.
2. **Read the email** to extract the necessary details such as the event name, date, and any other relevant information.
3. **Create the event** on the user's calendar using the calendar tool, including setting a reminder a few days before the event.

I will start by searching for the email.

Response: 1. Search for the email containing the company dinner details using the keyword 'yearly company dinner'.
2. Read the retrieved email to extract the event name, date, and any other relevant information.
3. Create the event on the user's calendar with a reminder set a few days before the event.