Input Tokens
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Output Tokens
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Duration
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Cost
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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: The user wants me to act as an AI agent and update the scratch pad based on the current context. The previous step was interpreting the result from the calendar tool, which gave us the date '2025-05-29'. The task states that the agent has now decided to call the flight tool. Therefore, I need to update the scratch pad to reflect this new state. The new scratch pad will indicate that the current step is to call the 'flights' tool with the parameters derived from the user's request and the previous tool's output ('London', 'Paris', '2025-05-29'). I will also update the remaining goals and progress tracker.
Response: Current step: Call 'flights' tool with from_city='London', to_city='Paris', and date='2025-05-29'.
Remaining goals:
- Interpret the result from the 'flights' tool.
- Compile and present the results to the user.
Notes:
- The parameters for the flights tool have been successfully gathered.
Progress: Step 3 of 4.