codecell 0.2.0

Stateless, subprocess-isolated code execution for LLM agents

codecell

Stateless, subprocess-isolated code execution for LLM agents. Zero dependencies.

Unlike a Jupyter cell, there's no shared kernel — each call runs in a fresh subprocess with only the tools you inject.

Scope: codecell is intentionally limited to sandboxed code evaluation — safe computation and namespace-based tool invocation. It is not a full runtime or a general-purpose execution engine. Features like stateful sessions, IPC-based tool calling, and container isolation may be added in future versions.

Quick start

from codecell import SubprocessRuntime
from codecell.python import PythonValidator

runtime = SubprocessRuntime(PythonValidator())
result = runtime.execute("print(1 + 2)", timeout=10)
print(result.stdout)  # "3\n"

Languages

Python (sandboxed)

AST-validated — blocks file I/O, network, command execution, dynamic imports. Only safe computation modules allowed.

from codecell import SubprocessRuntime
from codecell.python import PythonValidator

py = SubprocessRuntime(PythonValidator())

# Safe computation works
py.execute("import math; print(math.sqrt(16))")

# Dangerous code is rejected before execution
py.execute("import os; os.system('rm -rf /')")  # raises ValueError

Bash (deny-list)

Regex-based deny list blocks known-dangerous patterns. Not a sandbox — reduces risk but cannot guarantee safety.

from codecell import SubprocessRuntime
from codecell.bash import BashValidator

bash = SubprocessRuntime(BashValidator())
bash.execute("echo hello && ls -la")   # OK
bash.execute("rm -rf /")               # raises ValueError

Trusted code (no validation)

from codecell import SubprocessRuntime, NullValidator

unsafe = SubprocessRuntime(NullValidator("python"))
unsafe.execute("import os; print(os.getpid())")  # runs without validation

Namespace injection (Python only)

Inject callables into the execution namespace. In subprocess mode, they're available as stubs for discovery:

def search(query: str) -> list:
    """Search for documents."""
    ...

result = py.execute(
    "print('search' in dir())",
    namespace={"search": search},
)
# stdout: "True"

API

SubprocessRuntime(validator)

Execute code in a subprocess. The validator provides language identity and code validation.

runtime.execute(code, *, namespace=None, timeout=None) -> CodeResult

Parameter	Type	Description
code	str	Source code to execute
namespace	dict[str, Callable] | None	Callables to inject (Python only)
timeout	float | None	Max seconds before kill

CodeResult

Field	Type	Description
stdout	str	Captured standard output (truncated at 64 KB)
stderr	str	Captured standard error
return_code	int	Exit code, -1 for timeout
timed_out	bool	Whether killed by timeout

Validators

Validator	Security level	Language
PythonValidator	Strong (AST analysis)	Python
BashValidator	Best-effort (regex deny-list)	Bash
NullValidator(lang)	None — trusted code only	Any

License

MIT