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

15s

Input Tokens

2930

Output Tokens

188

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 agent has been requested to inspect the PR diff again, specifically to finalize and publish the review. The agent is currently at cycle 25 and ready to publish the review message using discord.post_message. The draft review is stored in memory under the key 'draft_review_351'.

Based on the instructions and context, the agent needs to:
1.  Post the review to the Discord channel.
2. Update the scratch_pad.

I will now execute these steps.

Response: The agent is proceeding to publish the review to the Discord channel using the 'discord' tool and the 'draft_review_351' content from memory. Following the successful posting of the review, the scratch_pad will be updated.