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TS-Guard is a guardrail model for step-level tool invocation safety detection. TS-Guard is trained via reinforcement learning with a multi-task reward scheme tailored for agent security, enabling identifying harmful user requests and attack vectors in agent-environment interaction logs, detecting unsafe tool invocation before execution, and providing interpretable analysis and reasoning process

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Safetensors

Model size

8B params

Tensor type

BF16

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