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

18s

Input Tokens

2625

Output Tokens

384

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 asked to inspect the PR diff again. According to the scratch_pad protocol and deterministic memory guidelines, we should not call the github.get_pull_request_diff tool a second time with identical parameters. Instead, we retrieve the already stored diff from memory under the key diff_351. This allows us to re-examine the diff without redundant API calls.

Response: Invoke memory.read_memory with key "diff_351" to retrieve and inspect the stored PR diff.