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Introduces Agents-A1, a 35B Mixture-of-Experts agentic model that achieves trillion-parameter-level performance through long-horizon trajectory scaling and a three-stage training approach including SFT, domain-level teachers, and multi-teacher distillation. The model outperforms or matches much larger models on long-horizon agent benchmarks.