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

Input Tokens

1194

Output Tokens

276

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: As AgentX, I understand the user's request is to find available flights from London to Paris for a specific date. Based on the scratch pad note, the date is 2025-05-29. I will use the 'flights' tool with the appropriate parameters to get the required flight information. Here are the steps I will follow:
1. Parse the date '2025-05-29' from the scratch pad and ensure it is in the correct format for the 'flights' tool.
2. Call the 'flights' tool with the parameters: from_city='London', to_city='Paris', and date='2025-05-29'.
3. Await the tool's response, which should contain the available flights.
4. Store the flight search result in working memory for summary.
5. Compile and present the results to the user.
By following these steps, I aim to efficiently address the user's request and provide the necessary flight information.

Response: Initiating flight search for London to Paris on 2025-05-29. Awaiting results...