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

2688

Output Tokens

119

Cost

$0.01

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 request is to “inspect the PR diff again.” We already fetched the diff earlier and stored it in deterministic memory as key diff_351. Per the rule to avoid re-running the same tool with identical inputs, the correct action is to read the existing diff from memory rather than calling github.get_pull_request_diff again.

Response: Use the memory tool to read the previously saved PR diff (key: "diff_351") and re-inspect it; do not call github.get_pull_request_diff again with the same inputs.