Bashkit

Sandboxed bash interpreter for Python. Native bindings to the bashkit Rust core for fast, in-process execution with a virtual filesystem.

Features

Sandboxed execution in-process, without containers or subprocess orchestration
Full bash syntax: variables, pipelines, redirects, loops, functions, and arrays
160 built-in commands including grep, sed, awk, jq, curl, and find
Persistent interpreter state across calls, including variables, cwd, and VFS contents
Direct virtual filesystem APIs, constructor mounts, and live host mounts
Snapshot and restore support on Bash and BashTool
AI integrations for LangChain, PydanticAI, and Deep Agents

Installation

pip install bashkit

# Optional integrations
pip install 'bashkit[langchain]'
pip install 'bashkit[pydantic-ai]'
pip install 'bashkit[deepagents]'

Quick Start

Sync Execution

from bashkit import Bash

bash = Bash()

result = bash.execute_sync("echo 'Hello, World!'")
print(result.stdout)  # Hello, World!

bash.execute_sync("export APP_ENV=dev")
print(bash.execute_sync("echo $APP_ENV").stdout)  # dev

Async Execution

import asyncio
from bashkit import Bash


async def main():
    bash = Bash()

    result = await bash.execute("echo -e 'banana\\napple\\ncherry' | sort")
    print(result.stdout)  # apple\nbanana\ncherry

    await bash.execute("printf 'data\\n' > /tmp/file.txt")
    saved = await bash.execute("cat /tmp/file.txt")
    print(saved.stdout)  # data


asyncio.run(main())

Configuration

Constructor Options

from bashkit import Bash

bash = Bash(
    username="agent",
    hostname="sandbox",
    max_commands=1000,
    max_loop_iterations=10000,
    max_memory=10 * 1024 * 1024,
    timeout_seconds=30,
    python=False,
)

Live Output

from bashkit import Bash

bash = Bash()

def on_output(stdout: str, stderr: str) -> None:
    if stdout:
        print(stdout, end="", flush=True)
    if stderr:
        print(stderr, end="", flush=True)

result = bash.execute_sync(
    "for i in 1 2 3; do echo out-$i; echo err-$i >&2; done",
    on_output=on_output,
)

on_output is optional and fires during execution with chunked (stdout, stderr) pairs. Chunks are not line-aligned or exact terminal interleaving, but concatenating all callback chunks matches the final ExecResult.stdout and ExecResult.stderr. The handler must be synchronous; async def callbacks and callbacks that return awaitables are rejected.

Virtual Filesystem

Direct Methods on Bash and BashTool

from bashkit import Bash

bash = Bash()
bash.mkdir("/data", recursive=True)
bash.write_file("/data/config.json", '{"debug": true}\n')
bash.append_file("/data/config.json", '{"trace": false}\n')

print(bash.read_file("/data/config.json"))
print(bash.exists("/data/config.json"))
print(bash.ls("/data"))
print(bash.glob("/data/*.json"))

The same direct filesystem helpers are available on BashTool().

FileSystem Accessor

from bashkit import Bash

bash = Bash()
fs = bash.fs()

fs.mkdir("/data", recursive=True)
fs.write_file("/data/blob.bin", b"\x00\x01hello")
fs.copy("/data/blob.bin", "/data/backup.bin")

assert fs.read_file("/data/blob.bin") == b"\x00\x01hello"
assert fs.exists("/data/backup.bin")

Native Extension Interop

from bashkit import Bash, FileSystem

source = FileSystem()
source.write_file("/org/repo/README.md", b"hello\n")

capsule = source.to_capsule()
imported = FileSystem.from_capsule(capsule)

bash = Bash()
bash.mount("/workspace", imported)
print(bash.execute_sync("cat /workspace/org/repo/README.md").stdout)

to_capsule() / from_capsule() exchange a versioned stable ABI handle so separate PyO3 extensions do not need to share bashkit's internal Rust object layout. Native extensions should depend on bashkit with the interop feature and use bashkit::interop::fs.

Pre-Initialized Files

from bashkit import Bash

bash = Bash(files={
    "/config/static.txt": "ready\n",
    "/config/report.json": lambda: '{"ok": true}\n',
})

print(bash.execute_sync("cat /config/static.txt").stdout)
print(bash.execute_sync("cat /config/report.json").stdout)

Real Filesystem Mounts

from bashkit import Bash

bash = Bash(mounts=[
    {"host_path": "/path/to/data", "vfs_path": "/data"},
    {"host_path": "/path/to/workspace", "vfs_path": "/workspace", "writable": True},
])

print(bash.execute_sync("ls /workspace").stdout)

Live Mounts

from bashkit import Bash, FileSystem

bash = Bash()
workspace = FileSystem.real("/path/to/workspace", writable=True)

bash.mount("/workspace", workspace)
bash.execute_sync("echo 'hello' > /workspace/demo.txt")
bash.unmount("/workspace")

Network Access

curl, wget, and http are gated behind an explicit allowlist. Without a network= kwarg outbound HTTP is disabled (the secure default). Pass an explicit allowlist or allow_all=True to opt in:

from bashkit import Bash

# Per-host allowlist - all other URLs are blocked.
bash = Bash(network={"allow": ["https://api.github.com", "https://api.openai.com/v1"]})

# Allow every URL (mirrors NetworkAllowlist::allow_all() in the Rust core).
trusted = Bash(network={"allow_all": True})

# Disable the SSRF guard if you legitimately need to reach a private IP.
local = Bash(network={"allow": ["http://127.0.0.1:8080"], "block_private_ips": False})

network= is also accepted by BashTool(...) and persists across reset() and from_snapshot(...). An explicit network={"allow": []} blocks every URL but is distinct from omitting network= entirely.

Credential injection

Inject per-host credentials transparently so scripts never see the real secret. Two modes are supported (mirroring the Rust BashBuilder::credential and BashBuilder::credential_placeholder APIs):

from bashkit import Bash

bash = Bash(
    network={
        "allow": ["https://api.github.com", "https://api.openai.com/v1"],
        # Direct injection — script has no knowledge of the credential.
        "credentials": [
            {
                "pattern": "https://api.github.com",
                "kind": "bearer",
                "token": "ghp_xxx",
            },
        ],
        # Placeholder mode — script sees an opaque placeholder via env var.
        "credential_placeholders": [
            {
                "env": "OPENAI_API_KEY",
                "pattern": "https://api.openai.com",
                "kind": "bearer",
                "token": "sk-real-key",
            },
        ],
    },
)
# Scripts can: curl -s https://api.github.com/repos/foo/bar
#   → Authorization: Bearer ghp_xxx is added on the wire.
# Scripts can: curl -s -H "Authorization: Bearer $OPENAI_API_KEY" \
#                   https://api.openai.com/v1/chat
#   → the placeholder is replaced with sk-real-key on the wire.

Each credential dict accepts kind: "bearer" (token), kind: "header" (name, value), or kind: "headers" (a list of (name, value) pairs). Injected headers overwrite script-provided headers with the same name to prevent credential spoofing. Phase 2 of #1348 covers the credential surface; request callbacks and bot-auth ship in follow-ups.

Error Handling

from bashkit import Bash, BashError

bash = Bash()

try:
    bash.execute_sync_or_throw("exit 42")
except BashError as err:
    print(err.exit_code)  # 42
    print(err.stderr)
    print(str(err))

Use execute_or_throw() and execute_sync_or_throw() when you want failures surfaced as exceptions instead of inspecting exit_code manually.

Cancellation

from bashkit import Bash

bash = Bash()

bash.cancel()        # abort in-flight execution (no-op if idle)
bash.clear_cancel()  # clear the sticky flag so subsequent executions work

cancel() sets a sticky flag that causes every future execute() to fail immediately with "execution cancelled". Call clear_cancel() after the cancelled execution finishes to restore the instance for reuse — this preserves all VFS state. Use reset() only when you want to discard VFS and shell state entirely.

BashTool exposes the same cancel(), clear_cancel(), and reset() methods.

Shell State

from bashkit import Bash

bash = Bash()
bash.execute_sync("mkdir -p /workspace && cd /workspace")

state = bash.shell_state()
prompt = f"{state.cwd}$ "
print(prompt)  # /workspace$

bash.execute_sync("cd /")
print(state.cwd)  # still /workspace

ShellState is a read-only snapshot for prompt rendering and inspection. It is a Python-friendly inspection view rather than a full Rust-shell mirror, and fields like env, variables, and arrays are exposed as immutable mappings. Use snapshot(exclude_filesystem=True) when you need shell-only restore bytes, or snapshot(exclude_filesystem=True, exclude_functions=True) when prompt rendering does not need function restore. Transient fields like last_exit_code and traps are captured on the snapshot, but the next top-level execute() / execute_sync() clears them before running the new command. BashTool exposes the same shell_state() method.

BashTool

BashTool wraps Bash and adds tool-contract metadata for agent frameworks:

name
short_description
version
description()
help()
system_prompt()
input_schema()
output_schema()

from bashkit import BashTool

tool = BashTool()

print(tool.description())
print(tool.input_schema())

result = tool.execute_sync("echo 'Hello from BashTool'")
print(result.stdout)

Persistent Custom Builtins

Use custom_builtins={...} on Bash or BashTool when you want constructor-time Python callback builtins without giving up persistent shell/VFS state:

from bashkit import Bash
import json


def get_order(ctx):
    if not ctx.argv or ctx.argv[0] in {"help", "--help"}:
        return "usage: get-order <get|help> [args]\n"
    if ctx.argv[0] == "get" and len(ctx.argv) >= 2:
        return json.dumps(
            {"id": ctx.argv[1], "status": "shipped", "items": ["widget"]}
        ) + "\n"
    return "usage: get-order <get|help> [args]\n"


bash = Bash(custom_builtins={"get-order": get_order})

bash.execute_sync("mkdir -p /scratch && get-order get 42 > /scratch/order.json")
result = bash.execute_sync("cat /scratch/order.json | jq -r '.items[]'")
print(result.stdout)  # widget

Callbacks receive a BuiltinContext object with raw argv tokens, optional pipeline stdin, the current cwd, and visible env. They may return either the builtin stdout string directly or a BuiltinResult(stdout=..., stderr=..., exit_code=...) for explicit shell-shaped failures. Raise an exception for unexpected callback failures. Async callbacks support the same return shapes. BashTool exposes the same custom_builtins constructor kwarg and includes registered command names in help() output for LLM-facing metadata.

from bashkit import BuiltinResult


def view_image(ctx):
    if not ctx.argv:
        return BuiltinResult(stderr="view-image: missing path\n", exit_code=1)
    return BuiltinResult(stdout="")

When you use await bash.execute(...) or await bash_tool.execute(...), async callbacks are scheduled back onto the caller's active asyncio loop, so loop-bound primitives like asyncio.Event and framework-owned clients keep working. execute_sync() still supports async callbacks, but it drives them on an internal private loop and should not be called from an async endpoint.

ScriptedTool

Use ScriptedTool to register Python callbacks as bash-callable tools:

from bashkit import ScriptedTool


def get_user(params, stdin=None):
    return '{"id": 1, "name": "Alice"}'


tool = ScriptedTool("api")
tool.add_tool(
    "get_user",
    "Fetch user by ID",
    callback=get_user,
    schema={"type": "object", "properties": {"id": {"type": "integer"}}},
)

result = tool.execute_sync("get_user --id 1 | jq -r '.name'")
print(result.stdout)  # Alice

ScriptedTool callbacks receive (params_dict, stdin_or_none) and must return the tool stdout string. Async callbacks are also supported. await tool.execute(...) runs async callbacks on the caller's active asyncio loop; execute_sync() falls back to a private loop because there is no caller loop to reuse.

Snapshot / Restore

from bashkit import Bash

bash = Bash(username="agent", max_commands=100)
bash.execute_sync(
    "export BUILD_ID=42; "
    "greet() { echo \"hi $1\"; }; "
    "mkdir -p /workspace && cd /workspace && echo ready > state.txt"
)

snapshot = bash.snapshot()
shell_only = bash.snapshot(exclude_filesystem=True)
prompt_only = bash.snapshot(exclude_filesystem=True, exclude_functions=True)

restored = Bash.from_snapshot(snapshot, username="agent", max_commands=100)
assert restored.execute_sync("echo $BUILD_ID").stdout.strip() == "42"
assert restored.execute_sync("greet agent").stdout.strip() == "hi agent"
assert restored.execute_sync("cat /workspace/state.txt").stdout.strip() == "ready"

restored.reset()
restored.restore_snapshot(snapshot)
assert restored.execute_sync("pwd").stdout.strip() == "/workspace"
restored.restore_snapshot(shell_only)

BashTool exposes the same snapshot(), restore_snapshot(...), and from_snapshot(...) APIs. Python callback builtins are host-side config, not serialized shell state, so pass custom_builtins= again when constructing a restored instance if you need them after snapshot restore.

Framework Integrations

LangChain

from bashkit.langchain import create_bash_tool

tool = create_bash_tool()

PydanticAI

from bashkit.pydantic_ai import create_bash_tool

tool = create_bash_tool()

Deep Agents

from bashkit.deepagents import BashkitBackend, BashkitMiddleware

API Reference

Bash

execute(commands: str) -> ExecResult
execute_sync(commands: str) -> ExecResult
execute_or_throw(commands: str) -> ExecResult
execute_sync_or_throw(commands: str) -> ExecResult
cancel()
clear_cancel()
reset()
constructor kwarg: custom_builtins={name: callback}
snapshot() -> bytes
restore_snapshot(data: bytes)
from_snapshot(data: bytes, **kwargs) -> Bash
constructor kwarg: network={"allow": [...], "block_private_ips": True} or network={"allow_all": True}, optionally with credentials=[...] and credential_placeholders=[...]
mount(vfs_path: str, fs: FileSystem)
unmount(vfs_path: str)
Direct VFS helpers: read_file, write_file, append_file, mkdir, remove, exists, stat, read_dir, ls, glob, copy, rename, symlink, chmod, read_link

BashTool

All execution, cancellation (cancel(), clear_cancel()), reset, snapshot, restore, mount, and direct VFS helpers from Bash
constructor kwarg: custom_builtins={name: callback}
Tool metadata: name, short_description, version
description() -> str
help() -> str
system_prompt() -> str
input_schema() -> str
output_schema() -> str

ScriptedTool

add_tool(name, description, callback, schema=None)
execute(script: str) -> ExecResult
execute_sync(script: str) -> ExecResult
execute_or_throw(script: str) -> ExecResult
execute_sync_or_throw(script: str) -> ExecResult
env(key: str, value: str)
tool_count() -> int

FileSystem

mkdir(path, recursive=False)
write_file(path, content)
read_file(path) -> bytes
append_file(path, content)
exists(path) -> bool
remove(path, recursive=False)
stat(path) -> dict
read_dir(path) -> list
rename(src, dst)
copy(src, dst)
symlink(target, link)
chmod(path, mode)
read_link(path) -> str
FileSystem.real(host_path, writable=False) -> FileSystem
FileSystem.from_capsule(capsule) -> FileSystem
FileSystem.to_capsule() -> object

ExecResult and BashError

ExecResult.stdout
ExecResult.stderr
ExecResult.exit_code
ExecResult.error
ExecResult.success
ExecResult.to_dict()
BashError.exit_code
BashError.stderr

Platform Support

Linux: x86_64, aarch64 (glibc and musl wheels)
macOS: x86_64, aarch64
Windows: x86_64
Python: 3.9 through 3.14

How It Works

Bashkit is built on the bashkit Rust core, which implements a sandboxed bash interpreter and virtual filesystem. The Python package exposes that engine through a native extension, so commands run in-process with persistent state and resource limits, without shelling out to the host system.

Part of Everruns

Bashkit is part of the Everruns ecosystem. See the bashkit monorepo for the Rust core, the JavaScript package (@everruns/bashkit), and related tooling.

License

MIT

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File metadata and controls

Bashkit

Features

Installation

Quick Start

Sync Execution

Async Execution

Configuration

Constructor Options

Live Output

Virtual Filesystem

Direct Methods on Bash and BashTool

FileSystem Accessor

Native Extension Interop

Pre-Initialized Files

Real Filesystem Mounts

Live Mounts

Network Access

Credential injection

Error Handling

Cancellation

Shell State

BashTool

Persistent Custom Builtins

ScriptedTool

Snapshot / Restore

Framework Integrations

LangChain

PydanticAI

Deep Agents

API Reference

Bash

BashTool

ScriptedTool

FileSystem

ExecResult and BashError

Platform Support

How It Works

Part of Everruns

License