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Design A2A Adversarial Benchmarking Architecture
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Build Multimodal Adversarial Benchmarking Agents
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Linked challenge
Build Multimodal Adversarial Benchmarking Agents
Prompt source
Original prompt text with formatting preserved for inspection.
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Design the high-level architecture for your multi-agent adversarial benchmarking system. Specify the roles of at least two agents (e.g., 'Adversary Prompt Generator', 'Model Response Evaluator'), their communication flow using A2A Protocol, and how DSPy will be integrated into their reasoning loops. Illustrate with a diagram and provide a brief textual explanation.
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 role framing, objective, and reporting structure so comparison runs stay coherent.
Tune next
Swap in your own domain constraints, anomaly thresholds, and examples before you branch variants.
Verify after
Check whether the prompt asks for the right evidence, confidence signal, and escalation path.