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

2721

Output Tokens

191

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: I'm being asked to inspect the PR diff again. Looking at the context, I can see that in Cycle 2, I already fetched the PR diff and saved it to memory under the key 'diff_351'. The scratch_pad shows I'm currently at Step 4 of 5 (ready to publish the final review), and the memory already contains the diff. Since I already have the diff stored in memory and the instructions emphasize deterministic memory (never use the same tool with the same inputs twice), I should retrieve the existing diff from memory rather than making another API call to github.get_pull_request_diff.

Response: I will use the memory.read_memory tool to retrieve the existing PR diff stored under the key 'diff_351' that was saved during Cycle 2, rather than making a redundant API call to fetch the same diff again.