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.

0
Duration
19s
Input Tokens
1085
Output Tokens
250
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 based on the user's request to find available flights from London to Paris for tomorrow. The context indicates that today's date has been determined as May 29, 2025, so tomorrow's date is May 30, 2025. The next step in the cycle involves utilizing the 'flights' tool to acquire flight information between the specified cities for this date. According to the provided instructions, I must ensure the date format is correct (YYYY-MM-DD) and use the tool appropriately by inputting the required parameters: from_city, to_city, and date. After acquiring the flight information, it will be stored in the scratch pad as a step towards compiling the results for the user. Thus, I should proceed by setting up the API call to the flights tool with the gathered information.

Response: Updated scratch pad: 
- Use 'flights' tool to find available flights from London to Paris on 2025-05-30.
- Tool parameters: from_city='London', to_city='Paris', date='2025-05-30'.
- Store flight search results in working memory.