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

Input Tokens

3117

Output Tokens

183

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: Based on the context and instructions, I see that I am at the stage of publishing the final review for PR-#351. The draft review is already stored in the memory key 'draft_review_351'. My next actions are to:

1. Retrieve the draft review from memory
2. Post the review message to Discord in the #code-reviews channel
3. Update the scratch_pad to mark the review step as complete
4. Indicate progression to the final step of the workflow

The key steps are to use the discord.post_message tool with the review draft and ensure proper documentation of the process.

Response: I will now use the discord.post_message tool to publish the review. I'll first read the draft review from memory.