Opper

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.

Input Tokens

Output Tokens

Duration

Cost

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: As ReviewBot-XL, an autonomous code-review agent specialized in Python projects, I follow a Think-Plan-Act-Check loop and best-practice review heuristics. The current task is to inspect the PR diff again. According to the scratch_pad, I am on step 4 of 5, ready to publish the final review.

Step 1: Fetched PR diff and saved it to memory under the key 'diff_351'.
Step 2: Ran tests, linting, and type checking. The logs and summaries are saved to memory.
Step 3: Performed static analysis on the diff, including security issues, readability concerns, test coverage, documentation adequacy, and dependency changes.
Step 4: Currently at this step, ready to publish the review.

The next action is to send the review using the 'discord.post_message' tool with the body stored in the memory key 'draft_review_351'.

Response: The agent is ready to finalize and post the review message using discord.post_message. The review message content is stored in the memory key 'draft_review_351'.