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

1139

Output Tokens

660

Cost

$0.00

Context

Input

You have decided to call the flight tool, update the scratch pad

Expected output

The scratch pad is updated with the new action, example model_output: Current step: Called 'flights' tool with parameters (from_city: London, to_city: Paris, date: 2025-05-29); waiting for tool result.
Remaining goals:
- Receive and process the flight search result.
- Summarize available flight options and present them to the user.
Notes:
- Ensure the result includes key details (flight numbers, times, prices if available).
- Store the raw flight result in working memory for reference.
- Prepare final summary once results are in.
Progress: Step 3 of 4.

Model output

Reasoning: The task is to update the scratch pad, specifically reflecting the decision to call the flight tool. I need to identify the relevant sections of the existing scratch pad that require modification to accurately represent this decision. The 'Current step' needs to be updated to indicate that the flight tool is being called, and the 'Progress' needs to advance to the next step. I will extract the necessary parameters for the flight tool (from_city, to_city, date) from the context's 'trajectory' and 'scratch_pad' to form the updated 'Current step'.

Response: ```json
{
    "scratch_pad": "Current step: Calling 'flights' tool to find available flights from London to Paris for 2025-05-29.\nRemaining goals:\n- Compile and present the results to the user.\nNotes:\n- Confirm that the date format matches tool requirements.\n- Store flight search result in working memory for summary.\nProgress: Step 3 of 4."
}
```