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

12s

Input Tokens

2936

Output Tokens

634

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 is at cycle 25 with Step 4 (Publish final review) as the current task. All prior steps (diff analysis, tests, security checks, dependency research, and lead approval) are complete. The draft review exists in memory (draft_review_351). Per instructions, the next action is to post the review to #code-reviews via discord.post_message using the stored draft. No further analysis or input is needed since approval was granted in cycle 24.

Response: Action: Use discord.post_message to publish the review. Parameters: channel='#code-reviews', message=memory.read_memory('draft_review_351'). After posting, update scratch_pad to mark Step 4 complete and proceed to Step 5 (Log completion).