> ## Documentation Index
> Fetch the complete documentation index at: https://docs.askui.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Android Vision Agent

<a id="askui.android_agent.AndroidVisionAgent" />

```python theme={null}
class AndroidVisionAgent(AgentBase)
```

A vision-based agent that can interact with Android devices through computer vision and AI.

This agent can perform various UI interactions on Android devices like tapping, typing, swiping, and more.
It uses computer vision models to locate UI elements and execute actions on them.

**Arguments**:

* `reporters` *list\[Reporter] | None, optional* - List of reporter instances for logging and reporting. If `None`, an empty list is used.
* `model` *ModelChoice | ModelComposition | str | None, optional* - The default choice or name of the model(s) to be used for vision tasks. Can be overridden by the `model` parameter in the `tap()`, `get()`, `act()` etc. methods.
* `retry` *Retry, optional* - The retry instance to use for retrying failed actions. Defaults to `ConfigurableRetry` with exponential backoff. Currently only supported for `locate()` method.
* `models` *ModelRegistry | None, optional* - A registry of models to make available to the `AndroidVisionAgent` so that they can be selected using the `model` parameter of `AndroidVisionAgent` or the `model` parameter of its `tap()`, `get()`, `act()` etc. methods. Entries in the registry override entries in the default model registry.
* `model_provider` *str | None, optional* - The model provider to use for vision tasks.

**Example**:

```python theme={null}
from askui import AndroidVisionAgent

with AndroidVisionAgent() as agent:
    agent.tap("Submit button")
    agent.type("Hello World")
    agent.act("Open settings menu")
```

<a id="askui.android_agent.AndroidVisionAgent.tap" />

## tap

```python theme={null}
def tap(
    target: str | Locator | tuple[int, int],
    model: ModelComposition | str | None = None
) -> None
```

Taps on the specified target.

**Arguments**:

* `target` *str | Locator | Point* - The target to tap on. Can be a locator, a point, or a string.
* `model` *ModelComposition | str | None, optional* - The composition or name of the model(s) to be used for tapping on the target.

**Example**:

```python theme={null}
from askui import AndroidVisionAgent

with AndroidVisionAgent() as agent:
    agent.tap("Submit button")
    agent.tap((100, 100))
```

<a id="askui.android_agent.AndroidVisionAgent.type" />

## type

```python theme={null}
def type(text: Annotated[str, Field(min_length=1)]) -> None
```

Types the specified text as if it were entered on a keyboard.

**Arguments**:

* `text` *str* - The text to be typed. Must be at least `1` character long.
  Only ASCII printable characters are supported. other characters will raise an error.

**Example**:

```python theme={null}
from askui import AndroidVisionAgent

with AndroidVisionAgent() as agent:
    agent.type("Hello, world!")  # Types "Hello, world!"
    agent.type("user@example.com")  # Types an email address
    agent.type("password123")  # Types a password
```

<a id="askui.android_agent.AndroidVisionAgent.key_tap" />

## key\_tap

```python theme={null}
def key_tap(key: ANDROID_KEY) -> None
```

Taps the specified key on the Android device.

**Arguments**:

* `key` *ANDROID\_KEY* - The key to tap.

**Example**:

```python theme={null}
from askui import AndroidVisionAgent

with AndroidVisionAgent() as agent:
    agent.key_tap("HOME")  # Taps the home key
    agent.key_tap("BACK")  # Taps the back key
```

<a id="askui.android_agent.AndroidVisionAgent.key_combination" />

## key\_combination

```python theme={null}
def key_combination(
    keys: Annotated[list[ANDROID_KEY], Field(min_length=2)],
    duration_in_ms: int = 100
) -> None
```

Taps the specified keys on the Android device.

**Arguments**:

* `keys` *list\[ANDROID\_KEY]* - The keys to tap.
* `duration_in_ms` *int, optional* - The duration in milliseconds to hold the key combination. Default is 100ms.

**Example**:

```python theme={null}
from askui import AndroidVisionAgent

with AndroidVisionAgent() as agent:
    agent.key_combination(["HOME", "BACK"])  # Taps the home key and then the back key
    agent.key_combination(["HOME", "BACK"], duration_in_ms=200)  # Taps the home key and then the back key for 200ms.
```

<a id="askui.android_agent.AndroidVisionAgent.shell" />

## shell

```python theme={null}
def shell(command: str) -> str
```

Executes a shell command on the Android device.

**Arguments**:

* `command` *str* - The shell command to execute.

**Example**:

```python theme={null}
from askui import AndroidVisionAgent

with AndroidVisionAgent() as agent:
    agent.shell("pm list packages")  # Lists all installed packages
    agent.shell("dumpsys battery")  # Displays battery information
```

<a id="askui.android_agent.AndroidVisionAgent.drag_and_drop" />

## drag\_and\_drop

```python theme={null}
def drag_and_drop(
    x1: int, y1: int, x2: int, y2: int, duration_in_ms: int = 1000
) -> None
```

Drags and drops the specified target.

**Arguments**:

* `x1` *int* - The x-coordinate of the starting point.
* `y1` *int* - The y-coordinate of the starting point.
* `x2` *int* - The x-coordinate of the ending point.
* `y2` *int* - The y-coordinate of the ending point.
* `duration_in_ms` *int, optional* - The duration in milliseconds to hold the drag and drop. Default is 1000ms.

**Example**:

```python theme={null}
from askui import AndroidVisionAgent

with AndroidVisionAgent() as agent:
    agent.drag_and_drop(100, 100, 200, 200)  # Drags and drops from (100, 100) to (200, 200)
    agent.drag_and_drop(100, 100, 200, 200, duration_in_ms=2000)  # Drags and drops from (100, 100) to (200, 200) with a 2000ms duration
```

<a id="askui.android_agent.AndroidVisionAgent.swipe" />

## swipe

```python theme={null}
def swipe(
    x1: int, y1: int, x2: int, y2: int, duration_in_ms: int = 1000
) -> None
```

Swipes the specified target.

**Arguments**:

* `x1` *int* - The x-coordinate of the starting point.
* `y1` *int* - The y-coordinate of the starting point.
* `x2` *int* - The x-coordinate of the ending point.
* `y2` *int* - The y-coordinate of the ending point.
* `duration_in_ms` *int, optional* - The duration in milliseconds to hold the swipe. Default is 1000ms.

**Example**:

```python theme={null}
from askui import AndroidVisionAgent

with AndroidVisionAgent() as agent:
    agent.swipe(100, 100, 200, 200)  # Swipes from (100, 100) to (200, 200)
    agent.swipe(100, 100, 200, 200, duration_in_ms=2000)  # Swipes from (100, 100) to (200, 200) with a 2000ms duration
```

<a id="askui.android_agent.AndroidVisionAgent.set_device_by_serial_number" />

## set\_device\_by\_serial\_number

```python theme={null}
def set_device_by_serial_number(device_sn: str) -> None
```

Sets the active device for screen interactions by name.

**Arguments**:

* `device_sn` *str* - The serial number of the device to set as active.

**Example**:

```python theme={null}
from askui import AndroidVisionAgent

with AndroidVisionAgent() as agent:
    agent.set_device_by_serial_number("Pixel 6")  # Sets the active device to the Pixel 6
```

<a id="askui.android_agent.AndroidVisionAgent.act" />

## act

```python theme={null}
def act(
    goal: Annotated[str | list[MessageParam],
                    Field(min_length=1)],
    model: str | None = None,
    on_message: OnMessageCb | None = None,
    tools: list[Tool] | ToolCollection | None = None,
    settings: ActSettings | None = None
) -> None
```

Instructs the agent to achieve a specified goal through autonomous actions.

The agent will analyze the screen, determine necessary steps, and perform
actions to accomplish the goal. This may include clicking, typing, scrolling,
and other interface interactions.

**Arguments**:

* `goal` *str | list\[MessageParam]* - A description of what the agent should
  achieve.
* `model` *str | None, optional* - The composition or name of the model(s) to
  be used for achieving the `goal`.
* `on_message` *OnMessageCb | None, optional* - Callback for new messages. If
  it returns `None`, stops and does not add the message.
* `tools` *list\[Tool] | ToolCollection | None, optional* - The tools for the
  agent. Defaults to default tools depending on the selected model.
* `settings` *AgentSettings | None, optional* - The settings for the agent.
  Defaults to a default settings depending on the selected model.

**Returns**:

None

**Raises**:

* `MaxTokensExceededError` - If the model reaches the maximum token limit
  defined in the agent settings.
* `ModelRefusalError` - If the model refuses to process the request.

**Example**:

```python theme={null}
from askui import AndroidVisionAgent

with AndroidVisionAgent() as agent:
    agent.act("Open the settings menu")
    agent.act("Search for 'printer' in the search box")
    agent.act("Log in with username 'admin' and password '1234'")
```

<a id="askui.android_agent.AndroidVisionAgent.get" />

## get

```python theme={null}
def get(
    query: Annotated[str, Field(min_length=1)],
    response_schema: Type[ResponseSchema] | None = None,
    model: str | None = None,
    source: Optional[InputSource] = None
) -> ResponseSchema | str
```

Retrieves information from an image or PDF based on the provided `query`.

If no `source` is provided, a screenshot of the current screen is taken.

**Arguments**:

* `query` *str* - The query describing what information to retrieve.
* `source` *InputSource | None, optional* - The source to extract information
  from. Can be a path to an image, PDF, or office document file,
  a PIL Image object or a data URL. Defaults to a screenshot of the
  current screen.
* `response_schema` *Type\[ResponseSchema] | None, optional* - A Pydantic model
  class that defines the response schema. If not provided, returns a
  string.
* `model` *str | None, optional* - The composition or name of the model(s) to
  be used for retrieving information from the screen or image using the
  `query`. Note: `response_schema` is not supported by all models.
  PDF processing is only supported for Gemini models hosted on AskUI.

**Returns**:

ResponseSchema | str: The extracted information, `str` if no
`response_schema` is provided.

**Raises**:

* `NotImplementedError` - If PDF processing is not supported for the selected
  model.
* `ValueError` - If the `source` is not a valid PDF or image.

**Example**:

```python theme={null}
from askui import ResponseSchemaBase, AndroidVisionAgent
from PIL import Image
import json

class UrlResponse(ResponseSchemaBase):
    url: str

class NestedResponse(ResponseSchemaBase):
    nested: UrlResponse

class LinkedListNode(ResponseSchemaBase):
    value: str
    next: "LinkedListNode | None"

with AndroidVisionAgent() as agent:
    # Get URL as string
    url = agent.get("What is the current url shown in the url bar?")

    # Get URL as Pydantic model from image at (relative) path
    response = agent.get(
        "What is the current url shown in the url bar?",
        response_schema=UrlResponse,
        source="screenshot.png",
    )
    # Dump whole model
    print(response.model_dump_json(indent=2))
    # or
    response_json_dict = response.model_dump(mode="json")
    print(json.dumps(response_json_dict, indent=2))
    # or for regular dict
    response_dict = response.model_dump()
    print(response_dict["url"])

    # Get boolean response from PIL Image
    is_login_page = agent.get(
        "Is this a login page?",
        response_schema=bool,
        source=Image.open("screenshot.png"),
    )
    print(is_login_page)

    # Get integer response
    input_count = agent.get(
        "How many input fields are visible on this page?",
        response_schema=int,
    )
    print(input_count)

    # Get float response
    design_rating = agent.get(
        "Rate the page design quality from 0 to 1",
        response_schema=float,
    )
    print(design_rating)

    # Get nested response
    nested = agent.get(
        "Extract the URL and its metadata from the page",
        response_schema=NestedResponse,
    )
    print(nested.nested.url)

    # Get recursive response
    linked_list = agent.get(
        "Extract the breadcrumb navigation as a linked list",
        response_schema=LinkedListNode,
    )
    current = linked_list
    while current:
        print(current.value)
        current = current.next

    # Get text from PDF
    text = agent.get(
        "Extract all text from the PDF",
        source="document.pdf",
    )
    print(text)
```

<a id="askui.android_agent.AndroidVisionAgent.locate" />

## locate

```python theme={null}
def locate(
    locator: str | Locator,
    screenshot: Optional[InputSource] = None,
    model: ModelComposition | str | None = None
) -> Point
```

Locates the first matching UI element identified by the provided locator.

**Arguments**:

* `locator` *str | Locator* - The identifier or description of the element to
  locate.
* `screenshot` *InputSource | None, optional* - The screenshot to use for
  locating the element. Can be a path to an image file, a PIL Image object
  or a data URL. If `None`, takes a screenshot of the currently
  selected display.
* `model` *ModelComposition | str | None, optional* - The composition or name
  of the model(s) to be used for locating the element using the `locator`.

**Returns**:

* `Point` - The coordinates of the element as a tuple (x, y).

**Example**:

```python theme={null}
from askui import AndroidVisionAgent

with AndroidVisionAgent() as agent:
    point = agent.locate("Submit button")
    print(f"Element found at coordinates: {point}")
```

<a id="askui.android_agent.AndroidVisionAgent.locate_all" />

## locate\_all

```python theme={null}
def locate_all(
    locator: str | Locator,
    screenshot: Optional[InputSource] = None,
    model: ModelComposition | str | None = None
) -> PointList
```

Locates all matching UI elements identified by the provided locator.

Note: Some LocateModels can only locate a single element. In this case, the
returned list will have a length of 1.

**Arguments**:

* `locator` *str | Locator* - The identifier or description of the element to
  locate.
* `screenshot` *InputSource | None, optional* - The screenshot to use for
  locating the element. Can be a path to an image file, a PIL Image object
  or a data URL. If `None`, takes a screenshot of the currently
  selected display.
* `model` *ModelComposition | str | None, optional* - The composition or name
  of the model(s) to be used for locating the element using the `locator`.

**Returns**:

* `PointList` - The coordinates of the elements as a list of tuples (x, y).

**Example**:

```python theme={null}
from askui import AndroidVisionAgent

with AndroidVisionAgent() as agent:
    points = agent.locate_all("Submit button")
    print(f"Found {len(points)} elements at coordinates: {points}")
```

<a id="askui.android_agent.AndroidVisionAgent.locate_all_elements" />

## locate\_all\_elements

```python theme={null}
def locate_all_elements(
    screenshot: Optional[InputSource] = None,
    model: ModelComposition | None = None
) -> list[DetectedElement]
```

Locate all elements in the current screen using AskUI Models.

**Arguments**:

* `screenshot` *InputSource | None, optional* - The screenshot to use for
  locating the elements. Can be a path to an image file, a PIL Image
  object or a data URL. If `None`, takes a screenshot of the currently
  selected display.
* `model` *ModelComposition | None, optional* - The model composition
  to be used for locating the elements.

**Returns**:

* `list[DetectedElement]` - A list of detected elements

**Example**:

```python theme={null}
from askui import AndroidVisionAgent

with AndroidVisionAgent() as agent:
    detected_elements = agent.locate_all_elements()
    print(f"Found {len(detected_elements)} elements: {detected_elements}")
```

<a id="askui.android_agent.AndroidVisionAgent.annotate" />

## annotate

```python theme={null}
def annotate(
    screenshot: InputSource | None = None,
    annotation_dir: str = "annotations",
    model: ModelComposition | None = None
) -> None
```

Annotate the screenshot with the detected elements.
Creates an interactive HTML file with the detected elements
and saves it to the annotation directory.
The HTML file can be opened in a browser to see the annotated image.
The user can hover over the elements to see their names and text value
and click on the box to copy the text value to the clipboard.

**Arguments**:

* `screenshot` *ImageSource | None, optional* - The screenshot to annotate.
  If `None`, takes a screenshot of the currently selected display.
* `annotation_dir` *str* - The directory to save the annotated
  image. Defaults to "annotations".
* `model` *ModelComposition | None, optional* - The composition
  of the model(s) to be used for annotating the image.
  If `None`, uses the default model.

  Example Using AndroidVisionAgent:

  ```python theme={null}
  from askui import AndroidVisionAgent

  with AndroidVisionAgent() as agent:
      agent.annotate()
  ```

  Example Using AndroidVisionAgent:

  ```python theme={null}
  from askui import AndroidVisionAgent

  with AndroidVisionAgent() as agent:
      agent.annotate()
  ```

  Example Using AndroidVisionAgent with custom screenshot and annotation directory:

  ```python theme={null}
  from askui import AndroidVisionAgent

  with AndroidVisionAgent() as agent:
      agent.annotate(screenshot="screenshot.png", annotation_dir="htmls")
  ```

<a id="askui.android_agent.AndroidVisionAgent.wait" />

## wait

```python theme={null}
def wait(
    until: Annotated[float, Field(gt=0.0)] | str | Locator,
    retry_count: Optional[Annotated[int, Field(gt=0)]] = None,
    delay: Optional[Annotated[float, Field(gt=0.0)]] = None,
    until_condition: Literal["appear", "disappear"] = "appear",
    model: ModelComposition | str | None = None
) -> None
```

Pauses execution or waits until a UI element appears or disappears.

**Arguments**:

* `until` *float | str | Locator* - If a float, pauses execution for the
  specified number of seconds (must be greater than 0.0). If a string
  or Locator, waits until the specified UI element appears or
  disappears on screen.
* `retry_count` *int | None* - Number of retries when waiting for a UI
  element. Defaults to 3 if None.
* `delay` *int | None* - Sleep duration in seconds between retries when
  waiting for a UI element. Defaults to 1 second if None.
* `until_condition` *Literal\["appear", "disappear"]* - The condition to wait
  until the element satisfies. Defaults to "appear".
* `model` *ModelComposition | str | None, optional* - The composition or name
  of the model(s) to be used for locating the element using the
  `until` locator.

**Raises**:

* `WaitUntilError` - If the UI element is not found after all retries.

**Example**:

```python theme={null}
from askui import AndroidVisionAgent
from askui.locators import loc

with AndroidVisionAgent() as agent:
    # Wait for a specific duration
    agent.wait(5)  # Pauses execution for 5 seconds
    agent.wait(0.5)  # Pauses execution for 500 milliseconds

    # Wait for a UI element to appear
    agent.wait("Submit button", retry_count=5, delay=2)
    agent.wait("Login form")  # Uses default retries and sleep time
    agent.wait(loc.Text("Password"))  # Uses default retries and sleep time

    # Wait for a UI element to disappear
    agent.wait("Loading spinner", until_condition="disappear")

    # Wait using a specific model
    agent.wait("Submit button", model="custom_model")
```
