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

14s

Input Tokens

1377

Output Tokens

584

Cost

$0.02

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 assess the current state of the task execution:

1. **Original User Request**: Find flights from London to Paris for tomorrow

2. **What has been done**:
   - Cycle 1-2: Recognized the need to determine tomorrow's date
   - Called the calendar tool
   - Received result: '2025-05-29' (tomorrow's date)

3. **Current State (Cycle 3)**:
   - We have successfully obtained tomorrow's date (2025-05-29)
   - The scratch pad correctly identifies the next goal: use the 'flights' tool
   - The date format (YYYY-MM-DD) matches the required format for the flights tool

4. **Remaining Steps**:
   - Call the flights tool with: from_city='London', to_city='Paris', date='2025-05-29'
   - Present the results to the user

5. **Assessment**:
   - We are ON TRACK
   - The logical progression is correct: first get the date, then search flights
   - We have all required parameters for the flights tool
   - No errors or deviations from the plan
   - Progress indicates 'Step 2 of 4' which aligns with the workflow

Response: **Status: ON TRACK**

The task is progressing correctly. Here's the assessment:

✅ **Completed Successfully:**
- Identified user intent (find flights London → Paris for tomorrow)
- Retrieved tomorrow's date via calendar tool → '2025-05-29'

✅ **Current Position:**
- Cycle 3 of the execution
- Step 2 of 4 in the plan (as noted in scratch pad)
- Ready to execute the next logical action

✅ **Next Required Action:**
- Call the 'flights' tool with parameters:
  - from_city: 'London'
  - to_city: 'Paris'
  - date: '2025-05-29'

✅ **No Issues Detected:**
- Date format is correct (YYYY-MM-DD)
- All required parameters are available
- Tool status shows 'flights' tool is available
- The plan is direct and efficient

**Recommendation:** Proceed to the flights tool call in the next cycle. The execution is efficient with no unnecessary loops or deviations.