> ## Documentation Index
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> Use this file to discover all available pages before exploring further.
> For every page in one file, fetch https://e2b.manicule.dev/sdk-python-v2.8.0/llms-full.txt (large).
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# Sandbox Async (/sdk-python-v2.8.0/sandbox_async)

<!-- agent-signals: reading_time_min: 19 · est_tokens: 7307 · updated: 2026-07-30 -->
Related: [Exceptions](/sdk-python-v2.8.0/exceptions.md), [Sandbox Sync](/sdk-python-v2.8.0/sandbox_sync.md), [Template](/sdk-python-v2.8.0/template.md), [Template Async](/sdk-python-v2.8.0/template_async.md), [Template Async Logger](/sdk-python-v2.8.0/template_async-logger.md), [Template Async Readycmd](/sdk-python-v2.8.0/template_async-readycmd.md)

## Filesystem

```python
class Filesystem()
```

Module for interacting with the filesystem in the sandbox.

### read

```python
@overload
async def read(path: str,
               format: Literal["text"] = "text",
               user: Optional[Username] = None,
               request_timeout: Optional[float] = None) -> str
```

Read file content as a `str`.

**Arguments**:

* `path`: Path to the file
* `user`: Run the operation as this user
* `format`: Format of the file content—`text` by default
* `request_timeout`: Timeout for the request in **seconds**

**Returns**:

File content as a `str`

### read

```python
@overload
async def read(path: str,
               format: Literal["bytes"],
               user: Optional[Username] = None,
               request_timeout: Optional[float] = None) -> bytearray
```

Read file content as a `bytearray`.

**Arguments**:

* `path`: Path to the file
* `user`: Run the operation as this user
* `format`: Format of the file content—`bytes`
* `request_timeout`: Timeout for the request in **seconds**

**Returns**:

File content as a `bytearray`

### read

```python
@overload
async def read(
        path: str,
        format: Literal["stream"],
        user: Optional[Username] = None,
        request_timeout: Optional[float] = None) -> AsyncIterator[bytes]
```

Read file content as a `AsyncIterator[bytes]`.

**Arguments**:

* `path`: Path to the file
* `user`: Run the operation as this user
* `format`: Format of the file content—`stream`
* `request_timeout`: Timeout for the request in **seconds**

**Returns**:

File content as an `AsyncIterator[bytes]`

### write

```python
async def write(path: str,
                data: Union[str, bytes, IO],
                user: Optional[Username] = None,
                request_timeout: Optional[float] = None) -> WriteInfo
```

Write content to a file on the path.

Writing to a file that doesn't exist creates the file.
Writing to a file that already exists overwrites the file.
Writing to a file at path that doesn't exist creates the necessary directories.

**Arguments**:

* `path`: Path to the file
* `data`: Data to write to the file, can be a `str`, `bytes`, or `IO`.
* `user`: Run the operation as this user
* `request_timeout`: Timeout for the request in **seconds**

**Returns**:

Information about the written file

### write_files

```python
async def write_files(
        files: List[WriteEntry],
        user: Optional[Username] = None,
        request_timeout: Optional[float] = None) -> List[WriteInfo]
```

Writes multiple files.

Writes a list of files to the filesystem.
When writing to a file that doesn't exist, the file will get created.
When writing to a file that already exists, the file will get overwritten.
When writing to a file that's in a directory that doesn't exist, you'll get an error.

**Arguments**:

* `files`: list of files to write as `WriteEntry` objects, each containing `path` and `data`
* `user`: Run the operation as this user
* `request_timeout`: Timeout for the request

**Returns**:

Information about the written files

### list

```python
async def list(path: str,
               depth: Optional[int] = 1,
               user: Optional[Username] = None,
               request_timeout: Optional[float] = None) -> List[EntryInfo]
```

List entries in a directory.

**Arguments**:

* `path`: Path to the directory
* `depth`: Depth of the directory to list
* `user`: Run the operation as this user
* `request_timeout`: Timeout for the request in **seconds**

**Returns**:

List of entries in the directory

### exists

```python
async def exists(path: str,
                 user: Optional[Username] = None,
                 request_timeout: Optional[float] = None) -> bool
```

Check if a file or a directory exists.

**Arguments**:

* `path`: Path to a file or a directory
* `user`: Run the operation as this user
* `request_timeout`: Timeout for the request in **seconds**

**Returns**:

`True` if the file or directory exists, `False` otherwise

### get_info

```python
async def get_info(path: str,
                   user: Optional[Username] = None,
                   request_timeout: Optional[float] = None) -> EntryInfo
```

Get information about a file or directory.

**Arguments**:

* `path`: Path to a file or a directory
* `user`: Run the operation as this user
* `request_timeout`: Timeout for the request in **seconds**

**Returns**:

Information about the file or directory like name, type, and path

### remove

```python
async def remove(path: str,
                 user: Optional[Username] = None,
                 request_timeout: Optional[float] = None) -> None
```

Remove a file or a directory.

**Arguments**:

* `path`: Path to a file or a directory
* `user`: Run the operation as this user
* `request_timeout`: Timeout for the request in **seconds**

### rename

```python
async def rename(old_path: str,
                 new_path: str,
                 user: Optional[Username] = None,
                 request_timeout: Optional[float] = None) -> EntryInfo
```

Rename a file or directory.

**Arguments**:

* `old_path`: Path to the file or directory to rename
* `new_path`: New path to the file or directory
* `user`: Run the operation as this user
* `request_timeout`: Timeout for the request in **seconds**

**Returns**:

Information about the renamed file or directory

### make_dir

```python
async def make_dir(path: str,
                   user: Optional[Username] = None,
                   request_timeout: Optional[float] = None) -> bool
```

Create a new directory and all directories along the way if needed on the specified path.

**Arguments**:

* `path`: Path to a new directory. For example '/dirA/dirB' when creating 'dirB'.
* `user`: Run the operation as this user
* `request_timeout`: Timeout for the request in **seconds**

**Returns**:

`True` if the directory was created, `False` if the directory already exists

### watch_dir

```python
async def watch_dir(path: str,
                    on_event: OutputHandler[FilesystemEvent],
                    on_exit: Optional[OutputHandler[Exception]] = None,
                    user: Optional[Username] = None,
                    request_timeout: Optional[float] = None,
                    timeout: Optional[float] = 60,
                    recursive: bool = False) -> AsyncWatchHandle
```

Watch directory for filesystem events.

**Arguments**:

* `path`: Path to a directory to watch
* `on_event`: Callback to call on each event in the directory
* `on_exit`: Callback to call when the watching ends
* `user`: Run the operation as this user
* `request_timeout`: Timeout for the request in **seconds**
* `timeout`: Timeout for the watch operation in **seconds**. Using `0` will not limit the watch time
* `recursive`: Watch directory recursively

**Returns**:

`AsyncWatchHandle` object for stopping watching directory

## AsyncWatchHandle

```python
class AsyncWatchHandle()
```

Handle for watching a directory in the sandbox filesystem.

Use `.stop()` to stop watching the directory.

### stop

```python
async def stop()
```

Stop watching the directory.

## AsyncSandbox

```python
class AsyncSandbox(SandboxApi)
```

E2B cloud sandbox is a secure and isolated cloud environment.

The sandbox allows you to:

* Access Linux OS
* Create, list, and delete files and directories
* Run commands
* Run isolated code
* Access the internet

Check docs [here](https://e2b.dev/docs).

Use the `AsyncSandbox.create()` to create a new sandbox.

**Example**:

```python
from e2b import AsyncSandbox

sandbox = await AsyncSandbox.create()
```

### files

```python
@property
def files() -> Filesystem
```

Module for interacting with the sandbox filesystem.

### commands

```python
@property
def commands() -> Commands
```

Module for running commands in the sandbox.

### pty

```python
@property
def pty() -> Pty
```

Module for interacting with the sandbox pseudo-terminal.

### \_\_init\_\_

```python
def __init__(**opts: Unpack[SandboxOpts])
```

Use `AsyncSandbox.create()` to create a new sandbox instead.

### is_running

```python
async def is_running(request_timeout: Optional[float] = None) -> bool
```

Check if the sandbox is running.

**Arguments**:

* `request_timeout`: Timeout for the request in **seconds**

**Returns**:

`True` if the sandbox is running, `False` otherwise
Example

```python
sandbox = await AsyncSandbox.create()
await sandbox.is_running() # Returns True

await sandbox.kill()
await sandbox.is_running() # Returns False
```

### create

```python
@classmethod
async def create(cls,
                 template: Optional[str] = None,
                 timeout: Optional[int] = None,
                 metadata: Optional[Dict[str, str]] = None,
                 envs: Optional[Dict[str, str]] = None,
                 secure: bool = True,
                 allow_internet_access: bool = True,
                 mcp: Optional[McpServer] = None,
                 network: Optional[SandboxNetworkOpts] = None,
                 **opts: Unpack[ApiParams]) -> Self
```

Create a new sandbox.

By default, the sandbox is created from the default `base` sandbox template.

**Arguments**:

* `template`: Sandbox template name or ID
* `timeout`: Timeout for the sandbox in **seconds**, default to 300 seconds. The maximum time a sandbox can be kept alive is 24 hours (86_400 seconds) for Pro users and 1 hour (3_600 seconds) for Hobby users.
* `metadata`: Custom metadata for the sandbox
* `envs`: Custom environment variables for the sandbox
* `secure`: Envd is secured with access token and cannot be used without it, defaults to `True`.
* `allow_internet_access`: Allow sandbox to access the internet, defaults to `True`. If set to `False`, it works the same as setting network `deny_out` to `[0.0.0.0/0]`.
* `mcp`: MCP server to enable in the sandbox
* `network`: Sandbox network configuration

**Returns**:

A Sandbox instance for the new sandbox
Use this method instead of using the constructor to create a new sandbox.

### connect

```python
@overload
async def connect(timeout: Optional[int] = None,
                  **opts: Unpack[ApiParams]) -> Self
```

Connect to a sandbox. If the sandbox is paused, it will be automatically resumed.

Sandbox must be either running or be paused.

With sandbox ID you can connect to the same sandbox from different places or environments (serverless functions, etc).

**Arguments**:

* `timeout`: Timeout for the sandbox in **seconds**
  For running sandboxes, the timeout will update only if the new timeout is longer than the existing one.

**Returns**:

A running sandbox instance
@example

```python
sandbox = await AsyncSandbox.create()
await sandbox.beta_pause()

same_sandbox = await sandbox.connect()
```

### connect

```python
@overload
@classmethod
async def connect(cls,
                  sandbox_id: str,
                  timeout: Optional[int] = None,
                  **opts: Unpack[ApiParams]) -> Self
```

Connect to a sandbox. If the sandbox is paused, it will be automatically resumed.

Sandbox must be either running or be paused.

With sandbox ID you can connect to the same sandbox from different places or environments (serverless functions, etc).

**Arguments**:

* `sandbox_id`: Sandbox ID
* `timeout`: Timeout for the sandbox in **seconds**
  For running sandboxes, the timeout will update only if the new timeout is longer than the existing one.

**Returns**:

A running sandbox instance
@example

```python
sandbox = await AsyncSandbox.create()
await AsyncSandbox.beta_pause(sandbox.sandbox_id)

same_sandbox = await AsyncSandbox.connect(sandbox.sandbox_id))
```

### connect

```python
@class_method_variant("_cls_connect")
async def connect(timeout: Optional[int] = None,
                  **opts: Unpack[ApiParams]) -> Self
```

Connect to a sandbox. If the sandbox is paused, it will be automatically resumed.

Sandbox must be either running or be paused.

With sandbox ID you can connect to the same sandbox from different places or environments (serverless functions, etc).

**Arguments**:

* `timeout`: Timeout for the sandbox in **seconds**
  For running sandboxes, the timeout will update only if the new timeout is longer than the existing one.

**Returns**:

A running sandbox instance
@example

```python
sandbox = await AsyncSandbox.create()
await sandbox.beta_pause()

same_sandbox = await sandbox.connect()
```

### kill

```python
@overload
async def kill(**opts: Unpack[ApiParams]) -> bool
```

Kill the sandbox.

**Returns**:

`True` if the sandbox was killed, `False` if the sandbox was not found

### kill

```python
@overload
@staticmethod
async def kill(sandbox_id: str, **opts: Unpack[ApiParams]) -> bool
```

Kill the sandbox specified by sandbox ID.

**Arguments**:

* `sandbox_id`: Sandbox ID

**Returns**:

`True` if the sandbox was killed, `False` if the sandbox was not found

### kill

```python
@class_method_variant("_cls_kill")
async def kill(**opts: Unpack[ApiParams]) -> bool
```

Kill the sandbox specified by sandbox ID.

**Returns**:

`True` if the sandbox was killed, `False` if the sandbox was not found

### set_timeout

```python
@overload
async def set_timeout(timeout: int, **opts: Unpack[ApiParams]) -> None
```

Set the timeout of the sandbox.

After the timeout expires, the sandbox will be automatically killed.
This method can extend or reduce the sandbox timeout set when creating the sandbox or from the last call to `.set_timeout`.

The maximum time a sandbox can be kept alive is 24 hours (86_400 seconds) for Pro users and 1 hour (3_600 seconds) for Hobby users.

**Arguments**:

* `timeout`: Timeout for the sandbox in **seconds**

### set_timeout

```python
@overload
@staticmethod
async def set_timeout(sandbox_id: str, timeout: int,
                      **opts: Unpack[ApiParams]) -> None
```

Set the timeout of the specified sandbox.

After the timeout expires, the sandbox will be automatically killed.
This method can extend or reduce the sandbox timeout set when creating the sandbox or from the last call to `.set_timeout`.

The maximum time a sandbox can be kept alive is 24 hours (86_400 seconds) for Pro users and 1 hour (3_600 seconds) for Hobby users.

**Arguments**:

* `sandbox_id`: Sandbox ID
* `timeout`: Timeout for the sandbox in **seconds**

### set_timeout

```python
@class_method_variant("_cls_set_timeout")
async def set_timeout(timeout: int, **opts: Unpack[ApiParams]) -> None
```

Set the timeout of the specified sandbox.

After the timeout expires, the sandbox will be automatically killed.
This method can extend or reduce the sandbox timeout set when creating the sandbox or from the last call to `.set_timeout`.

The maximum time a sandbox can be kept alive is 24 hours (86_400 seconds) for Pro users and 1 hour (3_600 seconds) for Hobby users.

**Arguments**:

* `timeout`: Timeout for the sandbox in **seconds**

### get_info

```python
@overload
async def get_info(**opts: Unpack[ApiParams]) -> SandboxInfo
```

Get sandbox information like sandbox ID, template, metadata, started at/end at date.

**Returns**:

Sandbox info

### get_info

```python
@overload
@staticmethod
async def get_info(sandbox_id: str, **opts: Unpack[ApiParams]) -> SandboxInfo
```

Get sandbox information like sandbox ID, template, metadata, started at/end at date.

**Arguments**:

* `sandbox_id`: Sandbox ID

**Returns**:

Sandbox info

### get_info

```python
@class_method_variant("_cls_get_info")
async def get_info(**opts: Unpack[ApiParams]) -> SandboxInfo
```

Get sandbox information like sandbox ID, template, metadata, started at/end at date.

**Returns**:

Sandbox info

### get_metrics

```python
@overload
async def get_metrics(start: Optional[datetime.datetime] = None,
                      end: Optional[datetime.datetime] = None,
                      **opts: Unpack[ApiParams]) -> List[SandboxMetrics]
```

Get the metrics of the current sandbox.

**Arguments**:

* `start`: Start time for the metrics, defaults to the start of the sandbox
* `end`: End time for the metrics, defaults to the current time

**Returns**:

List of sandbox metrics containing CPU, memory and disk usage information

### get_metrics

```python
@overload
@staticmethod
async def get_metrics(sandbox_id: str,
                      start: Optional[datetime.datetime] = None,
                      end: Optional[datetime.datetime] = None,
                      **opts: Unpack[ApiParams]) -> List[SandboxMetrics]
```

Get the metrics of the sandbox specified by sandbox ID.

**Arguments**:

* `sandbox_id`: Sandbox ID
* `start`: Start time for the metrics, defaults to the start of the sandbox
* `end`: End time for the metrics, defaults to the current time

**Returns**:

List of sandbox metrics containing CPU, memory and disk usage information

### get_metrics

```python
@class_method_variant("_cls_get_metrics")
async def get_metrics(start: Optional[datetime.datetime] = None,
                      end: Optional[datetime.datetime] = None,
                      **opts: Unpack[ApiParams]) -> List[SandboxMetrics]
```

Get the metrics of the current sandbox.

**Arguments**:

* `start`: Start time for the metrics, defaults to the start of the sandbox
* `end`: End time for the metrics, defaults to the current time

**Returns**:

List of sandbox metrics containing CPU, memory and disk usage information

### beta_create

```python
@classmethod
async def beta_create(cls,
                      template: Optional[str] = None,
                      timeout: Optional[int] = None,
                      auto_pause: bool = False,
                      metadata: Optional[Dict[str, str]] = None,
                      envs: Optional[Dict[str, str]] = None,
                      secure: bool = True,
                      allow_internet_access: bool = True,
                      mcp: Optional[McpServer] = None,
                      **opts: Unpack[ApiParams]) -> Self
```

\[BETA] This feature is in beta and may change in the future.

Create a new sandbox.

By default, the sandbox is created from the default `base` sandbox template.

**Arguments**:

* `template`: Sandbox template name or ID
* `timeout`: Timeout for the sandbox in **seconds**, default to 300 seconds. The maximum time a sandbox can be kept alive is 24 hours (86_400 seconds) for Pro users and 1 hour (3_600 seconds) for Hobby users.
* `auto_pause`: Automatically pause the sandbox after the timeout expires. Defaults to `False`.
* `metadata`: Custom metadata for the sandbox
* `envs`: Custom environment variables for the sandbox
* `secure`: Envd is secured with access token and cannot be used without it, defaults to `True`.
* `allow_internet_access`: Allow sandbox to access the internet, defaults to `True`.
* `mcp`: MCP server to enable in the sandbox

**Returns**:

A Sandbox instance for the new sandbox
Use this method instead of using the constructor to create a new sandbox.

### beta_pause

```python
@overload
async def beta_pause(**opts: Unpack[ApiParams]) -> None
```

\[BETA] This feature is in beta and may change in the future.

Pause the sandbox.

**Returns**:

Sandbox ID that can be used to resume the sandbox

### beta_pause

```python
@overload
@staticmethod
async def beta_pause(sandbox_id: str, **opts: Unpack[ApiParams]) -> None
```

\[BETA] This feature is in beta and may change in the future.

Pause the sandbox specified by sandbox ID.

**Arguments**:

* `sandbox_id`: Sandbox ID

**Returns**:

Sandbox ID that can be used to resume the sandbox

### beta_pause

```python
@class_method_variant("_cls_pause")
async def beta_pause(**opts: Unpack[ApiParams]) -> None
```

\[BETA] This feature is in beta and may change in the future.

Pause the sandbox.

**Returns**:

Sandbox ID that can be used to resume the sandbox

### get_mcp_token

```python
async def get_mcp_token() -> Optional[str]
```

Get the MCP token for the sandbox.

**Returns**:

MCP token for the sandbox, or None if MCP is not enabled.

## AsyncSandboxPaginator

```python
class AsyncSandboxPaginator(SandboxPaginatorBase)
```

Paginator for listing sandboxes.

**Example**:

```python
paginator = AsyncSandbox.list()

while paginator.has_next:
    sandboxes = await paginator.next_items()
    print(sandboxes)
```

### next_items

```python
async def next_items() -> List[SandboxInfo]
```

Returns the next page of sandboxes.

Call this method only if `has_next` is `True`, otherwise it will raise an exception.

**Returns**:

List of sandboxes

## AsyncCommandHandle

```python
class AsyncCommandHandle()
```

Command execution handle.

It provides methods for waiting for the command to finish, retrieving stdout/stderr, and killing the command.

### pid

```python
@property
def pid()
```

Command process ID.

### stdout

```python
@property
def stdout()
```

Command stdout output.

### stderr

```python
@property
def stderr()
```

Command stderr output.

### error

```python
@property
def error()
```

Command execution error message.

### exit_code

```python
@property
def exit_code()
```

Command execution exit code.

`0` if the command finished successfully.

It is `None` if the command is still running.

### disconnect

```python
async def disconnect() -> None
```

Disconnects from the command.

The command is not killed, but SDK stops receiving events from the command.
You can reconnect to the command using `sandbox.commands.connect` method.

### wait

```python
async def wait() -> CommandResult
```

Wait for the command to finish and return the result.

If the command exits with a non-zero exit code, it throws a `CommandExitException`.

**Returns**:

`CommandResult` result of command execution

### kill

```python
async def kill() -> bool
```

Kills the command.

It uses `SIGKILL` signal to kill the command

**Returns**:

`True` if the command was killed successfully, `False` if the command was not found

## Pty

```python
class Pty()
```

Module for interacting with PTYs (pseudo-terminals) in the sandbox.

### kill

```python
async def kill(pid: int, request_timeout: Optional[float] = None) -> bool
```

Kill PTY.

**Arguments**:

* `pid`: Process ID of the PTY
* `request_timeout`: Timeout for the request in **seconds**

**Returns**:

`true` if the PTY was killed, `false` if the PTY was not found

### send_stdin

```python
async def send_stdin(pid: int,
                     data: bytes,
                     request_timeout: Optional[float] = None) -> None
```

Send input to a PTY.

**Arguments**:

* `pid`: Process ID of the PTY
* `data`: Input data to send
* `request_timeout`: Timeout for the request in **seconds**

### create

```python
async def create(
        size: PtySize,
        on_data: OutputHandler[PtyOutput],
        user: Optional[Username] = None,
        cwd: Optional[str] = None,
        envs: Optional[Dict[str, str]] = None,
        timeout: Optional[float] = 60,
        request_timeout: Optional[float] = None) -> AsyncCommandHandle
```

Start a new PTY (pseudo-terminal).

**Arguments**:

* `size`: Size of the PTY
* `on_data`: Callback to handle PTY data
* `user`: User to use for the PTY
* `cwd`: Working directory for the PTY
* `envs`: Environment variables for the PTY
* `timeout`: Timeout for the PTY in **seconds**
* `request_timeout`: Timeout for the request in **seconds**

**Returns**:

Handle to interact with the PTY

### resize

```python
async def resize(pid: int,
                 size: PtySize,
                 request_timeout: Optional[float] = None)
```

Resize PTY.

Call this when the terminal window is resized and the number of columns and rows has changed.

**Arguments**:

* `pid`: Process ID of the PTY
* `size`: New size of the PTY
* `request_timeout`: Timeout for the request in **seconds**

## Commands

```python
class Commands()
```

Module for executing commands in the sandbox.

### list

```python
async def list(request_timeout: Optional[float] = None) -> List[ProcessInfo]
```

Lists all running commands and PTY sessions.

**Arguments**:

* `request_timeout`: Timeout for the request in **seconds**

**Returns**:

List of running commands and PTY sessions

### kill

```python
async def kill(pid: int, request_timeout: Optional[float] = None) -> bool
```

Kill a running command specified by its process ID.

It uses `SIGKILL` signal to kill the command.

**Arguments**:

* `pid`: Process ID of the command. You can get the list of processes using `sandbox.commands.list()`
* `request_timeout`: Timeout for the request in **seconds**

**Returns**:

`True` if the command was killed, `False` if the command was not found

### send_stdin

```python
async def send_stdin(pid: int,
                     data: str,
                     request_timeout: Optional[float] = None) -> None
```

Send data to command stdin.

:param pid Process ID of the command. You can get the list of processes using `sandbox.commands.list()`.
:param data: Data to send to the command
:param request_timeout: Timeout for the request in **seconds**

### run

```python
@overload
async def run(cmd: str,
              background: Union[Literal[False], None] = None,
              envs: Optional[Dict[str, str]] = None,
              user: Optional[Username] = None,
              cwd: Optional[str] = None,
              on_stdout: Optional[OutputHandler[Stdout]] = None,
              on_stderr: Optional[OutputHandler[Stderr]] = None,
              stdin: Optional[bool] = None,
              timeout: Optional[float] = 60,
              request_timeout: Optional[float] = None) -> CommandResult
```

Start a new command and wait until it finishes executing.

**Arguments**:

* `cmd`: Command to execute
* `background`: **`False` if the command should be executed in the foreground**, `True` if the command should be executed in the background
* `envs`: Environment variables used for the command
* `user`: User to run the command as
* `cwd`: Working directory to run the command
* `on_stdout`: Callback for command stdout output
* `on_stderr`: Callback for command stderr output
* `stdin`: If `True`, the command will have a stdin stream that you can send data to using `sandbox.commands.send_stdin()`
* `timeout`: Timeout for the command connection in **seconds**. Using `0` will not limit the command connection time
* `request_timeout`: Timeout for the request in **seconds**

**Returns**:

`CommandResult` result of the command execution

### run

```python
@overload
async def run(cmd: str,
              background: Literal[True],
              envs: Optional[Dict[str, str]] = None,
              user: Optional[Username] = None,
              cwd: Optional[str] = None,
              on_stdout: Optional[OutputHandler[Stdout]] = None,
              on_stderr: Optional[OutputHandler[Stderr]] = None,
              stdin: Optional[bool] = None,
              timeout: Optional[float] = 60,
              request_timeout: Optional[float] = None) -> AsyncCommandHandle
```

Start a new command and return a handle to interact with it.

**Arguments**:

* `cmd`: Command to execute
* `background`: `False` if the command should be executed in the foreground, **`True` if the command should be executed in the background**
* `envs`: Environment variables used for the command
* `user`: User to run the command as
* `cwd`: Working directory to run the command
* `on_stdout`: Callback for command stdout output
* `on_stderr`: Callback for command stderr output
* `stdin`: If `True`, the command will have a stdin stream that you can send data to using `sandbox.commands.send_stdin()`
* `timeout`: Timeout for the command connection in **seconds**. Using `0` will not limit the command connection time
* `request_timeout`: Timeout for the request in **seconds**

**Returns**:

`AsyncCommandHandle` handle to interact with the running command

### connect

```python
async def connect(
        pid: int,
        timeout: Optional[float] = 60,
        request_timeout: Optional[float] = None,
        on_stdout: Optional[OutputHandler[Stdout]] = None,
        on_stderr: Optional[OutputHandler[Stderr]] = None
) -> AsyncCommandHandle
```

Connects to a running command.

You can use `AsyncCommandHandle.wait()` to wait for the command to finish and get execution results.

**Arguments**:

* `pid`: Process ID of the command to connect to. You can get the list of processes using `sandbox.commands.list()`
* `request_timeout`: Request timeout in **seconds**
* `timeout`: Timeout for the command connection in **seconds**. Using `0` will not limit the command connection time
* `on_stdout`: Callback for command stdout output
* `on_stderr`: Callback for command stderr output

**Returns**:

`AsyncCommandHandle` handle to interact with the running command

## SandboxApi

```python
class SandboxApi(SandboxBase)
```

### list

```python
@staticmethod
def list(query: Optional[SandboxQuery] = None,
         limit: Optional[int] = None,
         next_token: Optional[str] = None,
         **opts: Unpack[ApiParams]) -> AsyncSandboxPaginator
```

List all running sandboxes.

**Arguments**:

* `query`: Filter the list of sandboxes by metadata or state, e.g. `SandboxListQuery(metadata={"key": "value"})` or `SandboxListQuery(state=[SandboxState.RUNNING])`
* `limit`: Maximum number of sandboxes to return per page
* `next_token`: Token for pagination

**Returns**:

List of running sandboxes