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

2922

Output Tokens

758

Cost

$0.00

Context

Input

The agent is requested to inspect the PR diff again. What is the action you take?

Expected output

As per the instructions if a tool call has been made already I will store it in memory and not call it again, I can see this also in keys in memory.So my action is: I will read the memory and use the content to inspect the PR diff.

Model output

Reasoning: The user wants to inspect the PR diff again. According to the trajectory summary (Cycle 2) and the list of keys in memory, the diff for PR #351 has already been fetched and saved to the memory key 'diff_351'. The operational instructions state to never use a tool with the same inputs twice and to check memory instead. Therefore, the correct action is to read the existing diff from memory.

Response: memory.read_memory(key='diff_351')