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

1354

Output Tokens

243

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 requested help with adding the yearly company dinner to their calendar and setting a reminder ahead of time. The user mentioned seeing an email with more information, so the first step is to locate that email. My plan is as follows: Step 1: Use the 'email' tool to search for emails related to 'yearly company dinner' to find the relevant details such as date and time. Step 2: Once the email is found, read its content to extract precise event details. Step 3: Check the user's calendar for conflicts during that date by using the 'read_calendar' tool for the relevant date range. Step 4: If no conflicts exist and all information is available, use the 'create_event' tool to add the event and set a reminder. Step 5: If any information is missing or ambiguous at any stage, use the 'request_user_input' tool to clarify details with the user. I will now begin with Step 1: searching for the relevant email.

Response: I will start by searching for the email related to the yearly company dinner to retrieve event details.