Code Execution & Sandboxing
~2 min read
Concept & How It Works
- Key points are in the visual diagram above.
Learn these elsewhere (not covered in depth here)
- →Sandbox Security — Phase 20
Why Does It Exist?
Unexpected code execution is an OWASP 2026 agentic top risk.
Real-World Analogy
A lab behind glass.
Visual Workflows
What is Code Execution & Sandboxing?
Example
Scenario
Scenario (Claude Agent SDK): A user triggers a workflow that depends on Code Execution & Sandboxing. Code execution must be sandboxed: no network unless allowlisted, no secrets, CPU and time caps, workspace root. Your implementation handles the request, logs the step for observability, validates the output, and returns a grounded response — e.g. cutting manual work from 20 minutes to under 30 seconds.
Solution
In Claude Agent SDK, apply Code Execution & Sandboxing to this scenario: Scenario (Claude Agent SDK): A user triggers a workflow that depends on Code Execution & Sandboxing. Identify the inputs, run the technique, validate the output, and note one thing you would monitor in production.
Practice Task
Do this before moving to the next module — reading alone is not enough.
Open the Code Walkthrough below and run it locally. Change one parameter related to Code Execution & Sandboxing (e.g. model, temperature, top_k, or tool name), observe the difference in output, and write 2–3 sentences explaining what changed.
Code Walkthrough
Highlighted lines show where Code Execution & Sandboxing happens in the code.
1# Code Execution & Sandboxing — minimal example2from openai import OpenAI3
4client = OpenAI() # create API client5
6# Ask the model to explain this topic7response = client.chat.completions.create( # core API call for Code Execution & Sandboxing8 model="gpt-4o-mini",9 messages=[10 {"role": "system", "content": "You explain code execution & sandboxing clearly."},11 {"role": "user", "content": f"What is code execution & sandboxing?"},12 ],13 temperature=0,14)15print(response.choices[0].message.content) # show output for debuggingCommands to Remember
Commands to Remember
npm install @anthropic-ai/claude-agent-sdk # Claude Agent SDKpip install claude-agent-sdk # Python Claude Agent SDK
Common Mistakes
- Skipping evaluation for Code Execution & Sandboxing before production
- No logging or tracing around claude code execution steps
- Ignoring cost and latency implications
Cheat Sheet
Quick recap — the most important points from this module.
Cheat Sheet
quick ref- •Code execution must be sandboxed: no network unless allowlisted, no secrets, CPU
