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A sandboxed bash interpreter for AI agents

Project description

Bashkit

PyPI

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,
)

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")

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")

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()  # no-op if nothing is running
bash.reset()   # reset state before reusing the instance

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

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)

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

Snapshot / Restore

from bashkit import Bash

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

snapshot = bash.snapshot()

restored = Bash.from_snapshot(snapshot, username="agent", max_commands=100)
assert restored.execute_sync("echo $BUILD_ID").stdout.strip() == "42"
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"

BashTool exposes the same snapshot(), restore_snapshot(...), and from_snapshot(...) APIs.

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()
  • reset()
  • snapshot() -> bytes
  • restore_snapshot(data: bytes)
  • from_snapshot(data: bytes, **kwargs) -> Bash
  • 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, reset, snapshot, restore, mount, and direct VFS helpers from Bash
  • 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

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 3.13

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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