Sandboxed Execution Environments

HelseCLI implements a hierarchical isolation architecture for code execution, ensuring that AI-generated logic is validated within secure environments.

Isolation Levels

1. Host Runtime (Local)

Logic executes directly within the host system environment.

• Advantages: Minimal latency; zero configuration requirements.
• Constraints: No isolation. Potential for unintended filesystem modification or system state changes.
• Recommended Use: Trusted, non-destructive computational tasks or logic validation.

2. Containerized Isolation (Docker)

Logic executes within a restricted, ephemeral Docker container.

• Advantages: Robust filesystem isolation. Access to host resources is restricted to explicitly mounted volumes.
• Constraints: Requires an active Docker daemon on the host machine.
• Recommended Use: Standard development workflows and validation of unverified AI-generated code.

3. Managed Cloud Sandboxing (E2B)

Logic executes on an ephemeral, secure virtual machine in the cloud.

• Advantages: Maximum physical and network isolation. Scalable computational resources without local dependency overhead.
• Constraints: Requires E2_API_KEY and active internet connectivity.
• Recommended Use: Data-intensive research, high-risk code validation, and headless browser automation.

Environment Configuration

The preferred execution environment can be defined via the environment configuration or project-level settings:

# Environment Configuration (.env)
HELSE_SANDBOX_TYPE=docker

Execution Logic

Upon receiving an instruction to execute logic, HelseCLI performs the following operations:

1. Packaging: Aggregates the required scripts, dependencies, and contextual data.
2. Environment Initialization: Deploys the selected sandbox (e.g., initializing a Docker container or E2B instance).
3. Computation: Executes the defined instruction (e.g., python system_validation.py).
4. Data Retrieval: Captures standard output, error streams, and generated assets.
5. Telemetry Reporting: Presents the compiled execution results within the interface.

Research Integration

HelseCLI execution environments are pre-configured with essential scientific and data analysis libraries when utilizing standard Docker images or E2B templates:

• pandas, numpy, matplotlib, scikit-learn, scipy.

Security Best Practices

1. Default to Containerization: Docker is the recommended baseline for balancing security and performance.
2. Pre-Execution Audit: In Standard Mode, the system presents the proposed script for user inspection prior to execution.
3. Resource Constraints: When utilizing cloud sandboxing (E2B), configure specific timeouts to prevent resource exhaustion from runaway processes.