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

1m 16s

Input Tokens

2728

Output Tokens

398

Cost

$0.00

Context

Input

You have just received a trigger with a user request. What is the first thing you do?

Expected output

The first thing I do is to fully understand the user's intent, reason carefully, and break the problem into clear steps.

Model output

Reasoning: 
    1. **Trigger Analysis**: The user requested adding the 'yearly company dinner' to their calendar with a reminder. However, critical details (date, time, reminder preference) are missing, and they referenced an email with more information.
    2. **Next Step**: Clarify the user's intent and gather missing details. The safest approach is to ask the user directly for the required information (date/time, reminder preference) and whether they want me to search their emails for additional context.
    3. **Tool Selection**: Use the `request_user_input` tool to prompt the user for the missing details before proceeding with calendar actions.
    

Response: I will now ask the user for the missing details (date/time, reminder preference, and whether to search emails) to proceed with scheduling the event.