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

17s

Input Tokens

2625

Output Tokens

671

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 current scratch_pad indicates that we are ready to publish the review, and the final review message is stored in the memory key 'draft_review_351'. Following the protocol and mandatory sequence, the next action is to use the discord.post_message tool to post this review message to the #code-reviews channel. Then, the scratch_pad should be updated to reflect that the review has been published and the task is complete.

Response: I will invoke the discord.post_message action using the content stored in 'draft_review_351' to publish the final review. After that, I will update the scratch_pad to mark the review task as complete.