GPT Engine Usage

Vulnerability Scanning

Setup for Testing

1. In src/main.py, set switch_production_or_test to test to configure the environment for testing purposes.

2. Place the project within the directory src/dataset/agent-v1-c4. This structure is critical for the tool to locate and interact with the data correctly.

3. Refer to the configuration file at src/dataset/agent-v1-c4/datasets.json for guidance on setting up your datasets. Once configured, you can execute main.py to begin the scanning process.

Environment Configuration

Configure your environment by creating a .env file with the following contents:

• DATABASE_URL=postgresql://postgres:[email protected]:5432/postgres

  • This is your database connection string, which the tool will use to store and retrieve data. Ensure that the details match your PostgreSQL setup.

• OPENAI_API_KEY=sk-xxxxx

  • Replace sk-xxxxx with your actual OpenAI API key. This key enables the tool to interact with OpenAI services for various operations, such as data processing or analysis.

GPT Engine 使用说明

漏洞扫描

测试环境设置

1. 在 src/main.py 文件中，将 switch_production_or_test 设置为 test，以配置环境为测试模式。

2. 将项目放置于 src/dataset/agent-v1-c4 目录下。这一结构对于工具正确定位和与数据交互至关重要。

3. 参照 src/dataset/agent-v1-c4/datasets.json 配置文件来设置你的数据集。配置完成后，运行 main.py 即可开始扫描过程。

环境配置

通过创建 .env 文件并填写以下内容来配置你的环境：

• DATABASE_URL=postgresql://postgres:[email protected]:5432/postgres

  • 这是你的数据库连接字符串，工具将使用它来存储和检索数据。确保详情与你的 PostgreSQL 设置相匹配。

• OPENAI_API_KEY=sk-xxxxx

  • 将 sk-xxxxx 替换为你的实际 OpenAI API 密钥。这个密钥使工具能够与 OpenAI 服务进行各种操作，如数据处理或分析。