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

14s

Input Tokens

2930

Output Tokens

139

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 decide on the next action. According to the context, the agent is ready to finalize the review message and publish it. The review is stored in memory under the key `draft_review_351`. The instruction says to post the compiled review to #code-reviews via discord. Therefore, the next action is to use the discord.post_message tool.

Response: The next action is to use the discord.post_message tool to post the review to the #code-reviews channel.