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.

100
Duration
9s
Input Tokens
1261
Output Tokens
333
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: I need to update the scratch pad after deciding to call the flight tool. First, let me analyze the current situation and the progress made so far:

1. The user requested information about flights from London to Paris for tomorrow
2. We determined that 'tomorrow' is 2025-05-29 using the calendar tool
3. We are at cycle 3 of the task
4. According to the scratch pad, we need to use the 'flights' tool to get available flights

Now that we've decided to call the flight tool, I need to update the scratch pad to reflect this action and maintain our progress tracking. The updated scratch pad should include the action we're taking, the parameters we're using, and what we expect to happen next.

Response: Current step: Calling flights tool to search for flights from London to Paris on 2025-05-29.

Remaining goals:
- Process the flight tool results when received
- Compile and present the flight information to the user

Notes:
- Using parameters: from_city="London", to_city="Paris", date="2025-05-29"
- Will need to organize flight options by departure time, price, or other relevant factors
- Prepare to handle potential edge cases (no flights available, etc.)

Progress: Step 3 of 4.