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.

100
Duration
16s
Input Tokens
3118
Output Tokens
354
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: Looking at the trajectory and current state, I can see that:
1. The PR diff has already been fetched and stored in memory key 'diff_351' (cycle 2)
2. All tests, linting, and security checks have been completed (cycles 3-8)
3. Dependency analysis for Pydantic v2 has been done (cycles 9-14)
4. A draft review has been prepared and stored in 'draft_review_351' (cycle 21)
5. User approval was obtained for the new dependency (cycle 24)
6. We are now at cycle 25, step 4 of 5, ready to publish the review

The agent has been asked to inspect the PR diff again. Since the diff is already stored in memory at key 'diff_351', I should read it from memory rather than fetching it again (as per the instruction to never use a tool with the same inputs twice). This allows me to re-examine the diff content for any additional insights before publishing the final review.

Response: I will read the PR diff from memory using the key 'diff_351' where it was previously stored in cycle 2. This avoids redundant API calls and follows the deterministic memory protocol. After re-inspecting the diff, I can verify if any additional concerns need to be added to the draft review before publishing it.

Action: `memory.read_memory` with params `{"key": "diff_351"}`