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
16s
Input Tokens
1264
Output Tokens
441
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 based on the provided context:

1. **Original Task**: User requested information about available flights from London to Paris for tomorrow

2. **Progress Analysis**:
   - Cycle 3 is currently in progress
   - Successfully completed Step 1: Determined tomorrow's date using calendar tool (result: 2025-05-29)
   - Currently on Step 2 of 4: Interpreting the calendar result and deciding next action
   - Next logical step is clear: Use the flights tool with the obtained date

3. **Current State Assessment**:
   - We have all required information to proceed: departure city (London), destination city (Paris), and date (2025-05-29)
   - The flights tool is available and we have the correct parameters
   - The trajectory shows logical progression without any errors or roadblocks
   - Scratch pad indicates clear remaining goals and proper progress tracking

4. **Tool Availability**: All necessary tools are available (calendar ✓, flights ✓, web_search as backup)

5. **Plan Integrity**: The original plan of 4 steps is still valid and being followed systematically

Response: **Status: ON TRACK** ✅

We are progressing well towards completing the user's request. We have successfully:
- Identified tomorrow's date (2025-05-29) using the calendar tool
- Maintained clear focus on the original goal (flights from London to Paris)
- Have all required parameters ready for the flights tool
- Are following the planned 4-step approach systematically

Next action should be to call the flights tool with parameters: from_city='London', to_city='Paris', date='2025-05-29' to retrieve the available flight options for the user.