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

13s

Input Tokens

3092

Output Tokens

1165

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 has requested to inspect the PR diff again. According to the 'trajectory' in the context, the diff was already fetched in Cycle 2 via `github.get_pull_request_diff` and saved to the memory key `diff_351`. The `keys_in_memory` list confirms `diff_351` is present. The instructions explicitly state: 'never use a tool with the same inputs twice, instead check in the memory tool'. Therefore, instead of calling the GitHub tool again, the correct action is to retrieve the diff from the deterministic memory store.

Response: tool_call: memory.read_memory(key='diff_351')