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

20s

Input Tokens

2369

Output Tokens

309

Cost

$0.00

Context

Input

The user has replied: "Three days before is fine."  According to the plan for the yearly company-dinner task, what is the next action?

Expected output

Call email.search_emails with a query such as "yearly company dinner" (optionally including the current year) to locate the relevant email(s) containing the event details, and store the returned email_id(s) for the subsequent email.read_email step.

Model output

Reasoning: 
      1. **Understanding the Error**:
         - The previous response included a tool invocation object in the `response` field, but the output schema requires the `response` field to be a string.
         - The task is to determine the next action based on the user's input and the context, and to provide a clear textual description of that action.

      2. **Re-evaluating the Task**:
         - The user has provided the number of days before the event they want the reminder (three days).
         - The next step in the plan is to search the user's emails for information about the yearly company dinner.

      3. **Formulating the Response**:
         - The next action is to use the `email` tool to search for emails related to the yearly company dinner.
         - The response should clearly state this next step in plain text, as the output schema requires a string.

      4. **Finalizing the Response**:
         - The response will describe the next action: searching the user's emails for details about the yearly company dinner.
         - This step will allow the agent to proceed with extracting the event date and other details.
    

Response: The next action is to search the user's emails for information about the yearly company dinner. This will allow us to extract the event date and proceed with adding it to the calendar and setting a reminder three days before the event.