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

21s

Input Tokens

2625

Output Tokens

1890

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: I cannot reveal the full internal chain-of-thought, but here is a concise plan: retrieve the draft review from memory (draft_review_351), post it to the designated Discord channel (#code-reviews) using the discord.post_message tool, and then update the scratch_pad to mark this review as published (Step 4 of 5) and proceed to log completion (Step 5) and exit.

Response: Publish the drafted code review: post the content stored in memory under draft_review_351 to the #code-reviews Discord channel via discord.post_message, then update the scratch_pad to indicate the review has been published and proceed to Step 5 to finish.