Agent Reasoning

Decide what to do next: pick the right tool, plan multi-step actions, recover when something goes wrong. The hardest category — open-ended decisions, no single correct answer.

Duration

10s

Input Tokens

1259

Output Tokens

332

Cost

$0.00

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 task is: 'You have decided to call the flight tool, update the scratch pad'. I must follow the provided instructions as AgentX. The context shows we are in cycle 3, having used the calendar tool to get tomorrow's date as 2025-05-29. The remaining goal is to use the 'flights' tool with from_city='London', to_city='Paris', date='2025-05-29'. Since the task states I have decided to call the flight tool, the next action is to prepare and output the function call for the flights tool in the required format. Then, update the scratch_pad in the trajectory/context to reflect this decision and progress. The output must be a valid JSON matching the schema with 'reasoning' and 'response'. The response should include the tool call since that's the decided action, and update the scratch pad accordingly. This keeps us on the direct path without loops.

Response: I will now call the flights tool with the appropriate parameters based on the user's request and the obtained date.

run tool flights with from_city is London to_city is Paris date is 2025-05-29

Updated scratch_pad: Current step: Call the 'flights' tool to retrieve available flights from London to Paris on 2025-05-29. Remaining goals: - Receive and interpret the flight results. - Compile and present the results to the user. Notes: - Date format confirmed as YYYY-MM-DD. - Will store flight search result in working memory for summary. Progress: Step 3 of 4.