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Simulate Inference Optimization with TensorRT-LLM

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Linked challenge: Enterprise AI Deployment Orchestrator with OpenAI Agents SDK

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Linked challenge
Enterprise AI Deployment Orchestrator with OpenAI Agents SDK

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Implement a simulated tool for the 'Performance Engineer' agent that represents the functionality of TensorRT-LLM. The agent should be able to 'call' this tool to optimize a given model and report on simulated performance gains (e.g., reduced latency, increased throughput). Demonstrate this with a sample agent interaction.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Preserve the rubric, target behavior, and pass-fail criteria as the baseline for evaluation.

Tune next

Adjust fixtures, mocks, and thresholds to the system under test instead of weakening the assertions.

Verify after

Make sure the prompt catches regressions instead of just mirroring the happy-path examples.