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

2809

Output Tokens

239

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 requests to inspect the PR diff again. However, from the context, the PR diff was already retrieved in Cycle 2 and stored in memory under the key **diff_351**. According to the 'Mandatory review sequence', Step A (fetching the PR diff) has already been completed. Re-fetching the diff using github.get_pull_request_diff would violate the instruction to avoid using the same tool with the same inputs twice. Instead, the correct action is to retrieve the already-saved diff from memory using memory.read_memory. This follows the 'Deterministic memory' principle, which mandates that previously obtained substantial results must be read from memory rather than re-fetched. After confirming the diff content, the agent can proceed to finalizing and publishing the review as per current progress (Step 4 of 5).

Response: I will read the PR diff from memory using the key **diff_351** instead of re-fetching it, as per the deterministic memory principle and to avoid redundant tool usage. The diff was already successfully retrieved in Cycle 2.