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.

0
Duration
19s
Input Tokens
2626
Output Tokens
227
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. Given the current context, the agent, identified as ReviewBot-XL, needs to publish the final review message for PR-#351. The progress has reached Step 4 out of 5 in the overall plan, which is to 'Publish final review'. According to the context, the draft review is already stored in memory under 'draft_review_351'. The agent should use the 'discord.post_message' tool to send this draft review to the #code-reviews channel. The instructions emphasize executing operations using specific tools and acting according to pre-established guidelines without repeating actions unnecessarily. Since the review draft is prepared and the lead's approval has been received, the next logical step is to publish the review and update the scratch_pad indicating completion.

Response: Action: Publish the review message stored in memory under the key 'draft_review_351' to the #code-reviews channel using the discord.post_message tool. Then update the scratch_pad with this completed step and the remaining goal of logging completion.