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

19s

Input Tokens

1150

Output Tokens

369

Cost

$0.00

Context

Input

Asses the current state and decide if we are on track or not

Expected output

We are on track

Model output

Reasoning: Let me analyze the current state of this task:

1. **Current Cycle**: This is cycle 3, which means we're in the middle of processing the user's request for flights.

2. **Progress**: The scratch pad shows 'Step 2 of 4', indicating we're making progress through the planned steps.

3. **Current State**: The calendar tool has been successfully called and returned '2025-05-29' as the date for tomorrow. The system has identified that the next action is to use the 'flights' tool to find available flights from London to Paris for this date.

4. **Tools Available**: All necessary tools (calendar, flights, web_search) are available and functioning.

5. **Remaining Goals**: 
   - Use 'flights' tool to get available flights from London to Paris for 2025-05-29
   - Compile and present the results to the user

6. **Status**: We are definitely on track. The system has successfully determined the date and is proceeding with the next logical step in the process.

Response: We are ON TRACK. The current state shows:

- **Progress**: Step 2 of 4 completed successfully
- **Date Determined**: Tomorrow's date confirmed as 2025-05-29
- **Next Action Clear**: Ready to use flights tool to search for available flights
- **All Tools Available**: Calendar, flights, and web_search tools are functioning properly
- **Remaining Steps**: 2 more steps remaining (search flights and present results)

The system is executing the planned workflow correctly and making steady progress toward the user's goal of finding flights from London to Paris for tomorrow.