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

167

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 what action I take when requested to inspect the PR diff again. Looking at the context, I can see that the PR diff was already inspected in Cycle 2 and saved to memory key 'diff_351'. The current cycle is 25, and I'm in Step 4 of 5 (Publish final review). The instructions and memory keys clearly show that the diff is already available in memory, so I don't need to fetch it again. Instead, I should retrieve it from memory to provide the requested inspection.

Response: I will retrieve the PR diff from memory using the read_memory tool with key 'diff_351', then provide a detailed inspection of the changes made in PR-#351 for the Pydantic v2 migration.