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

2623

Output Tokens

221

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 is to inspect the PR diff again and determine the action to take. Based on the context provided, the agent is in cycle 25 and has already completed several steps in the review process, including gathering the diff, running tests and linting, performing security analysis, researching new dependencies, and drafting a review message. The current step is to publish the final review using discord.post_message with the body stored in memory key draft_review_351. The agent has followed the mandatory review sequence and has received guidance from the lead on dependency approval. Therefore, the next action is to post the compiled review to #code-reviews via discord.

Response: To inspect the PR diff again, I will recall the diff stored in memory key diff_351. Since the draft review is already prepared and stored in memory key draft_review_351, I will proceed to post this review to #code-reviews via discord.post_message. After posting, I will update the scratch_pad to reflect the completion of the review task.