by MurrayTom · Agent Tool · ★ 45
ToolSafe: Enhancing Tool Invocation Safety of LLM-based agents via Proactive Step-level Guardrail and Feedback 📖 Introduction ToolSafe is a framework for enhancing tool invocation safety in LLM-based agents through step-level guardrails, proactive monitoring, and feedback-driven reasoning. It monitors tool usage in real time and prevents unsafe actions before execution, ensuring safer and more reliable agent behavior. Key Features TS-Bench – A benchmark suite for step-level
| Stars | 45 |
| Forks | 2 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 61.7546675463338/100 |
| Last Updated | 2026-03-25 |
| Created | 2026-01-08 |
| Platforms | python |
| Est. Tokens | ~382k |
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ToolSafe is Official Implementation of "ToolSafe: Enhancing Tool Invocation Safety of LLM-based Agents via Proactive Step-level Guardrail and Feedback". It is categorized as a Agent Tool with 45 GitHub stars.
ToolSafe is primarily written in Python.
You can find installation instructions and usage details in the ToolSafe GitHub repository at github.com/MurrayTom/ToolSafe. The project has 45 stars and 2 forks, indicating an active community.