sglang-kimi-k2-k25-optimization
Pass
Audited by Gen Agent Trust Hub on Apr 23, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No security concerns were identified. The content is strictly technical documentation focused on machine learning model optimization.
- [SAFE]: All external references point to the official sgl-project/sglang GitHub repository, which is a well-known open-source project. These references are used for historical context and technical evidence.
- [SAFE]: The commands provided (e.g., pytest, git log, ripgrep) are standard developer tools used for auditing and validation purposes in a development environment.
Audit Metadata