Principle:Togethercomputer Together python Sandboxed Code Interpreter
| Knowledge Sources | |
|---|---|
| Domains | Code_Execution, Tooling |
| Last Updated | 2026-02-15 16:00 GMT |
Overview
Principle for executing code snippets in a sandboxed cloud environment with session persistence and file support.
Description
Code execution enables running arbitrary Python code in a secure, isolated environment hosted in the cloud. Sessions maintain state across multiple execution calls, allowing multi-step data analysis or computation workflows. File upload support enables providing input data (as text or base64 binary) to the execution environment. Outputs are structured by type (stdout, stderr, errors, display data, execution results).
Usage
Apply this principle when you need to safely execute user-provided or LLM-generated Python code, perform data analysis, generate visualizations, or validate code outputs in a sandboxed environment.
Theoretical Basis
Sandboxed code execution follows a stateful session model:
Pseudo-code Logic:
# Abstract code execution model
session = create_session()
upload_files(session, files)
result = execute(session, code, language="python")
# Multi-step stateful execution
result2 = execute(session, more_code) # preserves variables from step 1
Key considerations:
- Sandboxing: Code runs in an isolated environment for security
- Session Persistence: Variables and files persist across calls within a session
- File Support: Upload text or binary files for processing
- Output Types: Distinguish stdout, stderr, errors, display data, and execution results