Executing code in sanboxed environments

Executing code in sanboxed environments#

You can use sand-bob to execute code in sandboxed / containerized environments.

from sand_bob import execute

execute("""
for i in range(0, 10):
    print(i)
""")

Execution Output

---
kernelspec:
  name: python3
  display_name: python3
jupytext:
  text_representation:
    extension: .md
    format_name: myst
    format_version: '0.13'
    jupytext_version: 1.13.8
---

```{code-cell} ipython3

for i in range(0, 10):
    print(i)

```

Prompt

No prompt available

Execution Details

Final result: 9
Build Time: 0.62s
Run Time: 4.66s
Execution Time: 5.32s
Files:
- /display_output/notebook_executed.ipynb

LLM backend

Task	Function	Model
Generate code	prompt_scadsai_llm	openai/gpt-oss-120b
Fix code	prompt_scadsai_llm	openai/gpt-oss-120b
Determine dependencies	prompt_scadsai_llm	openai/gpt-oss-120b
Generate code feedback	prompt_scadsai_llm	google/gemma-4-26B-A4B-it
Summarize code	prompt_scadsai_llm	openai/gpt-oss-120b
Notebook conversion	prompt_scadsai_llm	openai/gpt-oss-120b

If you use libraries, you need to specify the corresponding dependencies.

execute("""
import numpy as np

matrix = np.random.random((3,3))

print(matrix)
""", dependencies=["numpy"])

Execution Output

[[0.41337016 0.12724019 0.11536555]
 [0.26815116 0.94449088 0.81643972]
 [0.41359182 0.58590436 0.79020072]]

---
kernelspec:
  name: python3
  display_name: python3
jupytext:
  text_representation:
    extension: .md
    format_name: myst
    format_version: '0.13'
    jupytext_version: 1.13.8
---

```{code-cell} ipython3

import numpy as np

matrix = np.random.random((3,3))

print(matrix)

```

Prompt

No prompt available

Execution Details

Dependencies: numpy
Final result: [0.41359182 0.58590436 0.79020072]]
Build Time: 1.23s
Run Time: 4.12s
Execution Time: 5.39s
Files:
- /display_output/notebook_executed.ipynb

LLM backend

Task	Function	Model
Generate code	prompt_scadsai_llm	openai/gpt-oss-120b
Fix code	prompt_scadsai_llm	openai/gpt-oss-120b
Determine dependencies	prompt_scadsai_llm	openai/gpt-oss-120b
Generate code feedback	prompt_scadsai_llm	google/gemma-4-26B-A4B-it
Summarize code	prompt_scadsai_llm	openai/gpt-oss-120b
Notebook conversion	prompt_scadsai_llm	openai/gpt-oss-120b

… otherwise you will see an error message.

execute("""
import numpy as np

matrix = np.random.random((3,3))

print(matrix)
""")

Error: ModuleNotFoundError

An error occurred while executing the following cell:
------------------
import numpy as np

matrix = np.random.random((3,3))

print(matrix)

------------------


---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
Cell In[1], line 1
----> 1 import numpy as np
      2 
      3 matrix = np.random.random((3,3))
      4 

ModuleNotFoundError: No module named 'numpy'

---
kernelspec:
  name: python3
  display_name: python3
jupytext:
  text_representation:
    extension: .md
    format_name: myst
    format_version: '0.13'
    jupytext_version: 1.13.8
---

```{code-cell} ipython3

import numpy as np

matrix = np.random.random((3,3))

print(matrix)

```

Prompt

No prompt available

Execution Details

Build Time: 0.00s
Run Time: 3.68s
Execution Time: 3.71s

Traceback:

An error occurred while executing the following cell:
------------------
import numpy as np

matrix = np.random.random((3,3))

print(matrix)

------------------


---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
Cell In[1], line 1
----> 1 import numpy as np
      2 
      3 matrix = np.random.random((3,3))
      4 

ModuleNotFoundError: No module named 'numpy'

LLM backend

Task	Function	Model
Generate code	prompt_scadsai_llm	openai/gpt-oss-120b
Fix code	prompt_scadsai_llm	openai/gpt-oss-120b
Determine dependencies	prompt_scadsai_llm	openai/gpt-oss-120b
Generate code feedback	prompt_scadsai_llm	google/gemma-4-26B-A4B-it
Summarize code	prompt_scadsai_llm	openai/gpt-oss-120b
Notebook conversion	prompt_scadsai_llm	openai/gpt-oss-120b