Metadata-Version: 2.3
Name: anchorbrowser
Version: 1.0.1
Summary: The official Python library for the anchorbrowser API
Project-URL: Homepage, https://github.com/anchorbrowser/AnchorBrowser-SDK-Python
Project-URL: Repository, https://github.com/anchorbrowser/AnchorBrowser-SDK-Python
Author-email: Anchorbrowser <support@anchorbrowser.io>
License: Apache-2.0
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: OS Independent
Classifier: Operating System :: POSIX
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Typing :: Typed
Requires-Python: >=3.10
Requires-Dist: anyio<5,>=3.5.0
Requires-Dist: distro<2,>=1.7.0
Requires-Dist: httpx>=0.28.1
Requires-Dist: playwright>=1.55.0
Requires-Dist: pydantic<3,>=2
Requires-Dist: sniffio
Requires-Dist: typing-extensions<5,>=4.15.0
Requires-Dist: websockets>=15.0.1
Provides-Extra: aiohttp
Requires-Dist: aiohttp; extra == 'aiohttp'
Requires-Dist: httpx-aiohttp>=0.1.9; extra == 'aiohttp'
Description-Content-Type: text/markdown

# Anchorbrowser Python API library

<!-- prettier-ignore -->
[![PyPI version](https://img.shields.io/pypi/v/anchorbrowser.svg?label=pypi%20(stable))](https://pypi.org/project/anchorbrowser/)

The Anchorbrowser Python library provides convenient access to the Anchorbrowser REST API from any Python 3.10+
application. The library includes type definitions for all request params and response fields,
and offers both synchronous and asynchronous clients powered by [httpx](https://github.com/encode/httpx).

The SDK is generated directly from the public OpenAPI specification — every documented endpoint is available as a typed method.

> **Upgrading from v0.X.X ?** See [MIGRATION.md](https://github.com/anchorbrowser/AnchorBrowser-SDK-Python/tree/main/MIGRATION.md) for every breaking change and its v1 equivalent.

## Documentation

The REST API documentation can be found on [docs.anchorbrowser.io](https://docs.anchorbrowser.io), including a full
[SDK reference](https://docs.anchorbrowser.io/sdk-reference/overview) with a Python example for every operation.

## Installation

```sh
# install from PyPI
pip install anchorbrowser
```

## Usage

```python
import os
from anchorbrowser import Anchorbrowser

client = Anchorbrowser(
    api_key=os.environ.get("ANCHORBROWSER_API_KEY"),  # This is the default and can be omitted
)

session = client.sessions.create_session(
    session={"recording": {"active": False}},
)
print(session.data)
```

While you can provide an `api_key` keyword argument,
we recommend using [python-dotenv](https://pypi.org/project/python-dotenv/)
to add `ANCHORBROWSER_API_KEY="Your API Key"` to your `.env` file
so that your API Key is not stored in source control.

Every resource is an attribute on the client with one method per API operation:

| Resource                                                                       | Operations                                                                                                          |
| ------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------- |
| `client.sessions`                                                              | create/list/get/delete sessions, screenshots, uploads, OS-level control (mouse, keyboard, clipboard, goto, scroll)  |
| `client.tools`                                                                 | `perform_web_task`, `fetch_webpage`, `screenshot_webpage`, `execute_code`, `create_page_pdf`                        |
| `client.profiles`, `client.identities`, `client.applications`                  | profile & identity management                                                                                        |
| `client.webhooks`                                                              | webhook CRUD, secret rotation, test events                                                                           |
| `client.batch_sessions`, `client.certificates`, `client.integrations`, `client.extensions` | platform resources                                                                                        |
| `client.tasks`, `client.tasks_legacy`                                          | task execution (v2) and the legacy v1 task API                                                                       |
| `client.recordings`, `client.agent`, `client.events`, `client.billing`         | recordings, agent files & interventions, event signaling, billing info                                               |

### Run an AI agent task

`client.agent.task(...)` creates a session (or reuses one via `session_id=...`), runs a
natural-language task in it server-side (through the perform-web-task API, like the
TypeScript SDK's `agentTask`), and waits for the result — with no HTTP timeout and no
retries, since agent tasks can run for many minutes:

```python
result = client.agent.task("go to example.com and return the page title")
print(result.data.result)
```

`client.agent.browser_task(...)` starts the task but returns immediately with the session id,
a `concurrent.futures.Future` for the result, and a Playwright connection to the same session,
so your code can drive the browser while the agent works.

### Drive the browser with Playwright

`client.browser` connects Playwright to an Anchor cloud browser session over CDP:

```python
with client.browser.create() as browser:
    page = browser.contexts[0].pages[0]
    page.goto("https://example.com")
    print(page.title())
```

Use `client.browser.connect(session_id)` to attach to an existing session instead.

## Async usage

Simply import `AsyncAnchorbrowser` instead of `Anchorbrowser` and use `await` with each API call:

```python
import os
import asyncio
from anchorbrowser import AsyncAnchorbrowser

client = AsyncAnchorbrowser(
    api_key=os.environ.get("ANCHORBROWSER_API_KEY"),  # This is the default and can be omitted
)


async def main() -> None:
    session = await client.sessions.create_session(
        session={"recording": {"active": False}},
    )
    print(session.data)


asyncio.run(main())
```

Functionality between the synchronous and asynchronous clients is otherwise identical.

### With aiohttp

By default, the async client uses `httpx` for HTTP requests. However, for improved concurrency performance you may also use `aiohttp` as the HTTP backend.

You can enable this by installing `aiohttp`:

```sh
# install from PyPI
pip install anchorbrowser[aiohttp]
```

Then you can enable it by instantiating the client with `http_client=DefaultAioHttpClient()`:

```python
import os
import asyncio
from anchorbrowser import DefaultAioHttpClient
from anchorbrowser import AsyncAnchorbrowser


async def main() -> None:
    async with AsyncAnchorbrowser(
        api_key=os.environ.get("ANCHORBROWSER_API_KEY"),  # This is the default and can be omitted
        http_client=DefaultAioHttpClient(),
    ) as client:
        session = await client.sessions.create_session(
            session={"recording": {"active": False}},
        )
        print(session.data)


asyncio.run(main())
```

## Using types

Nested request parameters are [TypedDicts](https://docs.python.org/3/library/typing.html#typing.TypedDict)
(importable from `anchorbrowser.types.params`). Responses are [Pydantic models](https://docs.pydantic.dev)
(importable from `anchorbrowser.types.models`) which also provide helper methods for things like:

- Serializing back into JSON, `model.to_json()`
- Converting to a dictionary, `model.to_dict()`

Typed requests and responses provide autocomplete and documentation within your editor. If you would like to see type errors in VS Code to help catch bugs earlier, set `python.analysis.typeCheckingMode` to `basic`.

## Nested params

Nested parameters are dictionaries, typed using `TypedDict`, for example:

```python
from anchorbrowser import Anchorbrowser

client = Anchorbrowser()

session = client.sessions.create_session(
    session={
        "proxy": {"active": True, "type": "anchor_residential", "country_code": "us"},
    },
)
print(session.data)
```

## File uploads

Request parameters that correspond to file uploads can be passed as `bytes`, or a [`PathLike`](https://docs.python.org/3/library/os.html#os.PathLike) instance or a tuple of `(filename, contents, media type)`.

```python
from pathlib import Path
from anchorbrowser import Anchorbrowser

client = Anchorbrowser()

client.sessions.upload_file(
    session_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    file=Path("/path/to/file"),
)
```

The async client uses the exact same interface. If you pass a [`PathLike`](https://docs.python.org/3/library/os.html#os.PathLike) instance, the file contents will be read asynchronously automatically.

## Handling errors

When the library is unable to connect to the API (for example, due to network connection problems or a timeout), a subclass of `anchorbrowser.APIConnectionError` is raised.

When the API returns a non-success status code (that is, 4xx or 5xx
response), a subclass of `anchorbrowser.APIStatusError` is raised, containing `status_code` and `response` properties.

All errors inherit from `anchorbrowser.APIError`.

```python
import anchorbrowser
from anchorbrowser import Anchorbrowser

client = Anchorbrowser()

try:
    client.sessions.create_session(
        session={"recording": {"active": False}},
    )
except anchorbrowser.APIConnectionError as e:
    print("The server could not be reached")
    print(e.__cause__)  # an underlying Exception, likely raised within httpx.
except anchorbrowser.RateLimitError as e:
    print("A 429 status code was received; we should back off a bit.")
except anchorbrowser.APIStatusError as e:
    print("Another non-200-range status code was received")
    print(e.status_code)
    print(e.response)
```

Error codes are as follows:

| Status Code | Error Type                 |
| ----------- | -------------------------- |
| 400         | `BadRequestError`          |
| 401         | `AuthenticationError`      |
| 403         | `PermissionDeniedError`    |
| 404         | `NotFoundError`            |
| 422         | `UnprocessableEntityError` |
| 429         | `RateLimitError`           |
| >=500       | `InternalServerError`      |
| N/A         | `APIConnectionError`       |

### Retries

Certain errors are automatically retried 2 times by default, with a short exponential backoff.
Connection errors (for example, due to a network connectivity problem), 408 Request Timeout, 409 Conflict,
429 Rate Limit, and >=500 Internal errors are all retried by default.

You can use the `max_retries` option to configure or disable retry settings:

```python
from anchorbrowser import Anchorbrowser

# Configure the default for all requests:
client = Anchorbrowser(
    # default is 2
    max_retries=0,
)

# Or, configure per-request:
client.with_options(max_retries=5).sessions.create_session(
    session={"recording": {"active": False}},
)
```

### Timeouts

By default requests time out after 1 minute. You can configure this with a `timeout` option,
which accepts a float or an [`httpx.Timeout`](https://www.python-httpx.org/advanced/timeouts/#fine-tuning-the-configuration) object:

```python
from anchorbrowser import Anchorbrowser

# Configure the default for all requests:
client = Anchorbrowser(
    # 20 seconds (default is 1 minute)
    timeout=20.0,
)

# More granular control:
client = Anchorbrowser(
    timeout=httpx.Timeout(60.0, read=5.0, write=10.0, connect=2.0),
)

# Override per-request:
client.with_options(timeout=5.0).sessions.create_session(
    session={"recording": {"active": False}},
)
```

On timeout, an `APITimeoutError` is thrown.

Note that requests that time out are [retried twice by default](https://github.com/anchorbrowser/AnchorBrowser-SDK-Python/tree/main/#retries).

## Advanced

### Logging

We use the standard library [`logging`](https://docs.python.org/3/library/logging.html) module.

You can enable logging by setting the environment variable `ANCHORBROWSER_LOG` to `info`.

```shell
$ export ANCHORBROWSER_LOG=info
```

Or to `debug` for more verbose logging.

### How to tell whether `None` means `null` or missing

In an API response, a field may be explicitly `null`, or missing entirely; in either case, its value is `None` in this library. You can differentiate the two cases with `.model_fields_set`:

```py
if response.my_field is None:
  if 'my_field' not in response.model_fields_set:
    print('Got json like {}, without a "my_field" key present at all.')
  else:
    print('Got json like {"my_field": null}.')
```

### Making custom/undocumented requests

This library is typed for convenient access to the documented API.

If you need to access undocumented endpoints, params, or response properties, the library can still be used.

#### Undocumented endpoints

To make requests to undocumented endpoints, you can make requests using `client.get`, `client.post`, and other
http verbs. Options on the client will be respected (such as retries) when making this request. This is also the
way to access raw response data (e.g. headers) for a documented endpoint:

```py
import httpx

response = client.post(
    "/foo",
    cast_to=httpx.Response,
    body={"my_param": True},
)

print(response.headers.get("x-foo"))
```

#### Undocumented request params

If you want to explicitly send an extra param, you can do so with the `extra_query`, `extra_body`, and `extra_headers` request
options.

#### Undocumented response properties

To access undocumented response properties, you can access the extra fields like `response.unknown_prop`. You
can also get all the extra fields on the Pydantic model as a dict with
[`response.model_extra`](https://docs.pydantic.dev/latest/api/base_model/#pydantic.BaseModel.model_extra).

### Configuring the HTTP client

You can directly override the [httpx client](https://www.python-httpx.org/api/#client) to customize it for your use case, including:

- Support for [proxies](https://www.python-httpx.org/advanced/proxies/)
- Custom [transports](https://www.python-httpx.org/advanced/transports/)
- Additional [advanced](https://www.python-httpx.org/advanced/clients/) functionality

```python
import httpx
from anchorbrowser import Anchorbrowser, DefaultHttpxClient

client = Anchorbrowser(
    # Or use the `ANCHORBROWSER_BASE_URL` env var
    base_url="http://my.test.server.example.com:8083",
    http_client=DefaultHttpxClient(
        proxy="http://my.test.proxy.example.com",
        transport=httpx.HTTPTransport(local_address="0.0.0.0"),
    ),
)
```

You can also customize the client on a per-request basis by using `with_options()`:

```python
client.with_options(http_client=DefaultHttpxClient(...))
```

### Managing HTTP resources

By default the library closes underlying HTTP connections whenever the client is [garbage collected](https://docs.python.org/3/reference/datamodel.html#object.__del__). You can manually close the client using the `.close()` method if desired, or with a context manager that closes when exiting.

```py
from anchorbrowser import Anchorbrowser

with Anchorbrowser() as client:
  # make requests here
  ...

# HTTP client is now closed
```

## Versioning

This package generally follows [SemVer](https://semver.org/spec/v2.0.0.html) conventions, though certain backwards-incompatible changes may be released as minor versions:

1. Changes that only affect static types, without breaking runtime behavior.
2. Changes to library internals which are technically public but not intended or documented for external use. _(Please open a GitHub issue to let us know if you are relying on such internals.)_
3. Changes that we do not expect to impact the vast majority of users in practice.

We take backwards-compatibility seriously and work hard to ensure you can rely on a smooth upgrade experience.

We are keen for your feedback; please open an [issue](https://www.github.com/anchorbrowser/AnchorBrowser-SDK-Python/issues) with questions, bugs, or suggestions.

### Determining the installed version

If you've upgraded to the latest version but aren't seeing any new features you were expecting then your python environment is likely still using an older version.

You can determine the version that is being used at runtime with:

```py
import anchorbrowser
print(anchorbrowser.__version__)
```

## Requirements

Python 3.10 or higher.

## Contributing

See [the contributing documentation](https://github.com/anchorbrowser/AnchorBrowser-SDK-Python/tree/main/./CONTRIBUTING.md).
