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.

Input Tokens

Output Tokens

Duration

Cost

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 because I've decided to call the flight tool. Let me analyze the current situation:

1. The user wants information about flights from London to Paris for tomorrow
2. We've used the calendar tool to determine tomorrow's date: 2025-05-29
3. The current cycle is 3
4. The scratch pad indicates we need to use the 'flights' tool next
5. I need to update the scratch pad to reflect that I'm now calling the flights tool

The current scratch pad structure includes:
- Current step description
- Remaining goals
- Notes
- Progress tracking

I'll update it to show we're now using the flights tool.

Response: Updated scratch pad:

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

Remaining goals:
- Compile and present the flight results to the user.

Notes:
- Date format (2025-05-29) obtained from calendar tool matches flight tool requirements.
- Will store flight search results in working memory for summary.
- Parameters for flights tool: from_city=London, to_city=Paris, date=2025-05-29

Progress: Step 3 of 4.