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

12s

Input Tokens

1377

Output Tokens

439

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 agent execution:

1. **User Request**: Find flights from London to Paris for tomorrow
2. **Progress Made**: 
   - Cycle 1-2: Successfully called calendar tool and received tomorrow's date (2025-05-29)
   - Currently on cycle 3
3. **Current State**: We have the required date information and now need to use the flights tool
4. **Available Tools**: calendar (already used), flights (ready to use), web_search (available if needed)
5. **Next Required Action**: Call the 'flights' tool with parameters:
   - from_city: "London"
   - to_city: "Paris"
   - date: "2025-05-29"
6. **Scratch Pad Analysis**: Shows clear understanding - we're at step 2 of 4, with well-defined remaining goals
7. **Assessment**: 
   - We have all necessary information to proceed
   - The approach is logical and direct
   - No unnecessary detours or loops
   - Tool selection is appropriate for the task

**Conclusion**: We are definitively ON TRACK. The agent has:
- Correctly identified the need for tomorrow's date
- Successfully obtained it
- Clearly planned the next action (flights tool call)
- Maintained focus on the user's goal
- Following the most direct path to completion

Response: ON TRACK - The agent is progressing correctly. It has successfully obtained tomorrow's date (2025-05-29) from the calendar tool and is now properly positioned to call the flights tool with the correct parameters (London to Paris, 2025-05-29). The trajectory is logical, efficient, and aligned with the user's request. The next action is clear and appropriate.