Input Tokens
75260
Output Tokens
13168
Duration
641107.421
Cost
0
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:
1. **Task Analysis**:
- User requested flights from London to Paris for 'tomorrow'.
- Calendar tool confirmed the date as **2025-05-29** in the previous cycle.
- Next step: Use the 'flights' tool to fetch available flights for this date.
2. **Tool Validation**:
- The 'flights' tool requires `from_city`, `to_city`, and `date` in `YYYY-MM-DD` format.
- Parameters are validated: London → Paris, date: 2025-05-29.
3. **Action Plan**:
- Call the 'flights' tool with the validated parameters.
- Update scratch pad to reflect this action and prepare for result compilation.
4. **Progress Tracking**:
- Current step: Execute flight search (Step 3 of 4).
- Remaining goal: Compile and present results to the user.
Response: ```json
{
"action": "tool_call",
"tool_name": "flights",
"parameters": {
"from_city": "London",
"to_city": "Paris",
"date": "2025-05-29"
},
"scratch_pad": {
"current_step": "Executing flight search for London → Paris on 2025-05-29.",
"remaining_goals": ["Compile and present flight results to the user."],
"progress": "Step 3 of 4",
"notes": [
"Tool parameters validated (date: 2025-05-29, cities: London/Paris).",
"Awaiting flight data for summarization in next cycle."
]
}
}
```