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This paper describes a hybrid multi-agent LLM system for conversational depression screening submitted to the eRisk 2026 challenge, using either a paid GPT-5-nano or open-source Gemma 27B model with algorithmic guidance (dialogue tree, reliability-weighted aggregation, cluster-based imputation) to achieve competitive BDI-II assessment at lower cost.