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

2706

Output Tokens

686

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 task asks to inspect the PR diff again. Looking at the trajectory summary, the diff was already fetched in Cycle 2 using github.get_pull_request_diff and saved to memory under key 'diff_351'. According to the scratch_pad protocol: 'Remember: never use a tool with the same inputs twice, instead check in the memory tool.' Therefore, instead of calling github.get_pull_request_diff again, I should read the already-stored diff from memory using memory.read_memory with key 'diff_351'.

Response: I will read the PR diff from memory using memory.read_memory with key 'diff_351' to inspect it again, since it was already retrieved in Cycle 2.