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kinjal1234/sandbox-runtime

By kinjal1234

•Updated 4 months ago

Securely isolated, containerized environment for executing LLM-generated data science scripts.

Image
API management
Machine learning & AI
0

143

kinjal1234/sandbox-runtime repository overview

⁠A.D.A.M. (Agentic Data Analysis Manager)

⁠Code Execution Sandbox Service Specifications

AttributeSpecification
Service Namesandbox-runtime
Image TypeIsolated Code Runtime (Python-slim + Data Science Stack)
Internal Port8001
External Port8001
NetworkingBridge Network

Overview: The sandbox image provides a strictly guarded environment for executing python data cleaning and statistical code generated by the Gemini agent, preventing raw model outputs from interacting with the host machine.

Key Technical Aspects:

  • Secure Isolation: Limits system privileges and restricts network access within the container to prevent malicious or unintended shell commands from compromising the infrastructure.
  • Pre-baked Scientific Stack: Includes specialized data processing libraries ($Pandas$, $NumPy$, $SciPy$, $Statsmodels$) to instantly execute complex statistical tests without download overhead.
  • State Return Pipeline: Safely catches script execution outputs, syntax errors, and structured dataframes, piping the execution logs cleanly back to the FastAPI backend.

Main Project Link:

View on GitHub⁠

Tag summary

Content type

Image

Digest

sha256:933669a00…

Size

336.1 MB

Last updated

4 months ago

docker pull kinjal1234/sandbox-runtime