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

2626

Output Tokens

145

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 requires finalizing the code review by publishing the drafted review stored in memory under the key 'draft_review_351'. Given the current stage is ready to publish, the appropriate action is to use the 'discord' tool to post the review message to the designated Discord channel. This aligns with the specified process and ensures the review is communicated to the team. After posting, the agent should also update the scratch_pad to reflect the completed step and exit the review process.

Response: Post the review message stored in memory key 'draft_review_351' to the #code-reviews Discord channel using the 'discord.post_message' action.