Dorod-Sky/skyvern/client/client.py

# This file was auto-generated by Fern from our API Definition.

from __future__ import annotations

import datetime as dt
import typing

import httpx
from . import core
from .core.client_wrapper import AsyncClientWrapper, SyncClientWrapper
from .core.request_options import RequestOptions
from .environment import SkyvernEnvironment
from .raw_client import AsyncRawSkyvern, RawSkyvern
from .types.artifact import Artifact
from .types.artifact_type import ArtifactType
from .types.browser_profile import BrowserProfile
from .types.browser_session_response import BrowserSessionResponse
from .types.create_credential_request_credential import CreateCredentialRequestCredential
from .types.create_script_response import CreateScriptResponse
from .types.credential_response import CredentialResponse
from .types.get_run_response import GetRunResponse
from .types.proxy_location import ProxyLocation
from .types.retry_run_webhook_request import RetryRunWebhookRequest
from .types.run_engine import RunEngine
from .types.run_sdk_action_request_action import RunSdkActionRequestAction
from .types.run_sdk_action_response import RunSdkActionResponse
from .types.script import Script
from .types.script_file_create import ScriptFileCreate
from .types.skyvern_forge_sdk_schemas_credentials_credential_type import SkyvernForgeSdkSchemasCredentialsCredentialType
from .types.skyvern_schemas_run_blocks_credential_type import SkyvernSchemasRunBlocksCredentialType
from .types.task_run_request_data_extraction_schema import TaskRunRequestDataExtractionSchema
from .types.task_run_request_proxy_location import TaskRunRequestProxyLocation
from .types.task_run_response import TaskRunResponse
from .types.totp_code import TotpCode
from .types.upload_file_response import UploadFileResponse
from .types.workflow import Workflow
from .types.workflow_create_yaml_request import WorkflowCreateYamlRequest
from .types.workflow_run_request_proxy_location import WorkflowRunRequestProxyLocation
from .types.workflow_run_response import WorkflowRunResponse
from .types.workflow_run_timeline import WorkflowRunTimeline
from .types.workflow_status import WorkflowStatus

if typing.TYPE_CHECKING:
    from .scripts.client import AsyncScriptsClient, ScriptsClient
# this is used as the default value for optional parameters
OMIT = typing.cast(typing.Any, ...)


class Skyvern:
    """
    Use this class to access the different functions within the SDK. You can instantiate any number of clients with different configuration that will propagate to these functions.

    Parameters
    ----------
    base_url : typing.Optional[str]
        The base url to use for requests from the client.

    environment : SkyvernEnvironment
        The environment to use for requests from the client. from .environment import SkyvernEnvironment



        Defaults to SkyvernEnvironment.CLOUD



    api_key : typing.Optional[str]
    headers : typing.Optional[typing.Dict[str, str]]
        Additional headers to send with every request.

    timeout : typing.Optional[float]
        The timeout to be used, in seconds, for requests. By default the timeout is 60 seconds, unless a custom httpx client is used, in which case this default is not enforced.

    follow_redirects : typing.Optional[bool]
        Whether the default httpx client follows redirects or not, this is irrelevant if a custom httpx client is passed in.

    httpx_client : typing.Optional[httpx.Client]
        The httpx client to use for making requests, a preconfigured client is used by default, however this is useful should you want to pass in any custom httpx configuration.

    Examples
    --------
    from skyvern import Skyvern

    client = Skyvern(
        api_key="YOUR_API_KEY",
    )
    """

    def __init__(
        self,
        *,
        base_url: typing.Optional[str] = None,
        environment: SkyvernEnvironment = SkyvernEnvironment.CLOUD,
        api_key: typing.Optional[str] = None,
        headers: typing.Optional[typing.Dict[str, str]] = None,
        timeout: typing.Optional[float] = None,
        follow_redirects: typing.Optional[bool] = True,
        httpx_client: typing.Optional[httpx.Client] = None,
    ):
        _defaulted_timeout = (
            timeout if timeout is not None else 60 if httpx_client is None else httpx_client.timeout.read
        )
        self._client_wrapper = SyncClientWrapper(
            base_url=_get_base_url(base_url=base_url, environment=environment),
            api_key=api_key,
            headers=headers,
            httpx_client=httpx_client
            if httpx_client is not None
            else httpx.Client(timeout=_defaulted_timeout, follow_redirects=follow_redirects)
            if follow_redirects is not None
            else httpx.Client(timeout=_defaulted_timeout),
            timeout=_defaulted_timeout,
        )
        self._raw_client = RawSkyvern(client_wrapper=self._client_wrapper)
        self._scripts: typing.Optional[ScriptsClient] = None

    @property
    def with_raw_response(self) -> RawSkyvern:
        """
        Retrieves a raw implementation of this client that returns raw responses.

        Returns
        -------
        RawSkyvern
        """
        return self._raw_client

    def run_task(
        self,
        *,
        prompt: str,
        user_agent: typing.Optional[str] = None,
        url: typing.Optional[str] = OMIT,
        engine: typing.Optional[RunEngine] = OMIT,
        title: typing.Optional[str] = OMIT,
        proxy_location: typing.Optional[TaskRunRequestProxyLocation] = OMIT,
        data_extraction_schema: typing.Optional[TaskRunRequestDataExtractionSchema] = OMIT,
        error_code_mapping: typing.Optional[typing.Dict[str, typing.Optional[str]]] = OMIT,
        max_steps: typing.Optional[int] = OMIT,
        webhook_url: typing.Optional[str] = OMIT,
        totp_identifier: typing.Optional[str] = OMIT,
        totp_url: typing.Optional[str] = OMIT,
        browser_session_id: typing.Optional[str] = OMIT,
        model: typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] = OMIT,
        extra_http_headers: typing.Optional[typing.Dict[str, typing.Optional[str]]] = OMIT,
        publish_workflow: typing.Optional[bool] = OMIT,
        include_action_history_in_verification: typing.Optional[bool] = OMIT,
        max_screenshot_scrolls: typing.Optional[int] = OMIT,
        browser_address: typing.Optional[str] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> TaskRunResponse:
        """
        Run a task

        Parameters
        ----------
        prompt : str

            The goal or task description for Skyvern to accomplish

        user_agent : typing.Optional[str]

        url : typing.Optional[str]

            The starting URL for the task. If not provided, Skyvern will attempt to determine an appropriate URL

        engine : typing.Optional[RunEngine]

            The engine that powers the agent task. The default value is `skyvern-2.0`, the latest Skyvern agent that performs pretty well with complex and multi-step tasks. `skyvern-1.0` is good for simple tasks like filling a form, or searching for information on Google. The `openai-cua` engine uses OpenAI's CUA model. The `anthropic-cua` uses Anthropic's Claude Sonnet 3.7 model with the computer use tool.

        title : typing.Optional[str]
            The title for the task

        proxy_location : typing.Optional[TaskRunRequestProxyLocation]

            Geographic Proxy location to route the browser traffic through. This is only available in Skyvern Cloud.

            Available geotargeting options:
            - RESIDENTIAL: the default value. Skyvern Cloud uses a random US residential proxy.
            - RESIDENTIAL_ES: Spain
            - RESIDENTIAL_IE: Ireland
            - RESIDENTIAL_GB: United Kingdom
            - RESIDENTIAL_IN: India
            - RESIDENTIAL_JP: Japan
            - RESIDENTIAL_FR: France
            - RESIDENTIAL_DE: Germany
            - RESIDENTIAL_NZ: New Zealand
            - RESIDENTIAL_ZA: South Africa
            - RESIDENTIAL_AR: Argentina
            - RESIDENTIAL_AU: Australia
            - RESIDENTIAL_ISP: ISP proxy
            - US-CA: California
            - US-NY: New York
            - US-TX: Texas
            - US-FL: Florida
            - US-WA: Washington
            - NONE: No proxy
             Can also be a GeoTarget object for granular city/state targeting: {"country": "US", "subdivision": "CA", "city": "San Francisco"}

        data_extraction_schema : typing.Optional[TaskRunRequestDataExtractionSchema]

            The schema for data to be extracted from the webpage. If you're looking for consistent data schema being returned by the agent, it's highly recommended to use https://json-schema.org/.

        error_code_mapping : typing.Optional[typing.Dict[str, typing.Optional[str]]]

            Custom mapping of error codes to error messages if Skyvern encounters an error.

        max_steps : typing.Optional[int]

            Maximum number of steps the task can take. Task will fail if it exceeds this number. Cautions: you are charged per step so please set this number to a reasonable value. Contact sales@skyvern.com for custom pricing.

        webhook_url : typing.Optional[str]

            After a run is finished, send an update to this URL. Refer to https://www.skyvern.com/docs/running-tasks/webhooks-faq for more details.

        totp_identifier : typing.Optional[str]

            Identifier for the TOTP/2FA/MFA code when the code is pushed to Skyvern. Refer to https://www.skyvern.com/docs/credentials/totp#option-3-push-code-to-skyvern for more details.

        totp_url : typing.Optional[str]

            URL that serves TOTP/2FA/MFA codes for Skyvern to use during the workflow run. Refer to https://www.skyvern.com/docs/credentials/totp#option-2-get-code-from-your-endpoint for more details.

        browser_session_id : typing.Optional[str]

            Run the task or workflow in the specific Skyvern browser session. Having a browser session can persist the real-time state of the browser, so that the next run can continue from where the previous run left off.

        model : typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]]

            Optional model configuration.

        extra_http_headers : typing.Optional[typing.Dict[str, typing.Optional[str]]]
            The extra HTTP headers for the requests in browser.

        publish_workflow : typing.Optional[bool]
            Whether to publish this task as a reusable workflow. Only available for skyvern-2.0.

        include_action_history_in_verification : typing.Optional[bool]
            Whether to include action history when verifying that the task is complete

        max_screenshot_scrolls : typing.Optional[int]
            The maximum number of scrolls for the post action screenshot. When it's None or 0, it takes the current viewpoint screenshot.

        browser_address : typing.Optional[str]
            The CDP address for the task.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        TaskRunResponse
            Successfully run task

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.run_task(
            user_agent="x-user-agent",
            prompt="Find the top 3 posts on Hacker News.",
        )
        """
        _response = self._raw_client.run_task(
            prompt=prompt,
            user_agent=user_agent,
            url=url,
            engine=engine,
            title=title,
            proxy_location=proxy_location,
            data_extraction_schema=data_extraction_schema,
            error_code_mapping=error_code_mapping,
            max_steps=max_steps,
            webhook_url=webhook_url,
            totp_identifier=totp_identifier,
            totp_url=totp_url,
            browser_session_id=browser_session_id,
            model=model,
            extra_http_headers=extra_http_headers,
            publish_workflow=publish_workflow,
            include_action_history_in_verification=include_action_history_in_verification,
            max_screenshot_scrolls=max_screenshot_scrolls,
            browser_address=browser_address,
            request_options=request_options,
        )
        return _response.data

    def run_workflow(
        self,
        *,
        workflow_id: str,
        template: typing.Optional[bool] = None,
        max_steps_override: typing.Optional[int] = None,
        user_agent: typing.Optional[str] = None,
        parameters: typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] = OMIT,
        title: typing.Optional[str] = OMIT,
        proxy_location: typing.Optional[WorkflowRunRequestProxyLocation] = OMIT,
        webhook_url: typing.Optional[str] = OMIT,
        totp_url: typing.Optional[str] = OMIT,
        totp_identifier: typing.Optional[str] = OMIT,
        browser_session_id: typing.Optional[str] = OMIT,
        browser_profile_id: typing.Optional[str] = OMIT,
        max_screenshot_scrolls: typing.Optional[int] = OMIT,
        extra_http_headers: typing.Optional[typing.Dict[str, typing.Optional[str]]] = OMIT,
        browser_address: typing.Optional[str] = OMIT,
        ai_fallback: typing.Optional[bool] = OMIT,
        run_with: typing.Optional[str] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> WorkflowRunResponse:
        """
        Run a workflow

        Parameters
        ----------
        workflow_id : str
            ID of the workflow to run. Workflow ID starts with `wpid_`.

        template : typing.Optional[bool]

        max_steps_override : typing.Optional[int]

        user_agent : typing.Optional[str]

        parameters : typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]]
            Parameters to pass to the workflow

        title : typing.Optional[str]
            The title for this workflow run

        proxy_location : typing.Optional[WorkflowRunRequestProxyLocation]

            Geographic Proxy location to route the browser traffic through. This is only available in Skyvern Cloud.

            Available geotargeting options:
            - RESIDENTIAL: the default value. Skyvern Cloud uses a random US residential proxy.
            - RESIDENTIAL_ES: Spain
            - RESIDENTIAL_IE: Ireland
            - RESIDENTIAL_GB: United Kingdom
            - RESIDENTIAL_IN: India
            - RESIDENTIAL_JP: Japan
            - RESIDENTIAL_FR: France
            - RESIDENTIAL_DE: Germany
            - RESIDENTIAL_NZ: New Zealand
            - RESIDENTIAL_ZA: South Africa
            - RESIDENTIAL_AR: Argentina
            - RESIDENTIAL_AU: Australia
            - RESIDENTIAL_ISP: ISP proxy
            - US-CA: California
            - US-NY: New York
            - US-TX: Texas
            - US-FL: Florida
            - US-WA: Washington
            - NONE: No proxy
             Can also be a GeoTarget object for granular city/state targeting: {"country": "US", "subdivision": "CA", "city": "San Francisco"}

        webhook_url : typing.Optional[str]
            URL to send workflow status updates to after a run is finished. Refer to https://www.skyvern.com/docs/running-tasks/webhooks-faq for webhook questions.

        totp_url : typing.Optional[str]

            URL that serves TOTP/2FA/MFA codes for Skyvern to use during the workflow run. Refer to https://www.skyvern.com/docs/credentials/totp#option-2-get-code-from-your-endpoint for more details.

        totp_identifier : typing.Optional[str]

            Identifier for the TOTP/2FA/MFA code when the code is pushed to Skyvern. Refer to https://www.skyvern.com/docs/credentials/totp#option-3-push-code-to-skyvern for more details.

        browser_session_id : typing.Optional[str]
            ID of a Skyvern browser session to reuse, having it continue from the current screen state

        browser_profile_id : typing.Optional[str]
            ID of a browser profile to reuse for this workflow run

        max_screenshot_scrolls : typing.Optional[int]
            The maximum number of scrolls for the post action screenshot. When it's None or 0, it takes the current viewpoint screenshot.

        extra_http_headers : typing.Optional[typing.Dict[str, typing.Optional[str]]]
            The extra HTTP headers for the requests in browser.

        browser_address : typing.Optional[str]
            The CDP address for the workflow run.

        ai_fallback : typing.Optional[bool]
            Whether to fallback to AI if the workflow run fails.

        run_with : typing.Optional[str]
            Whether to run the workflow with agent or code.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        WorkflowRunResponse
            Successfully run workflow

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.run_workflow(
            max_steps_override=1,
            user_agent="x-user-agent",
            template=True,
            workflow_id="wpid_123",
        )
        """
        _response = self._raw_client.run_workflow(
            workflow_id=workflow_id,
            template=template,
            max_steps_override=max_steps_override,
            user_agent=user_agent,
            parameters=parameters,
            title=title,
            proxy_location=proxy_location,
            webhook_url=webhook_url,
            totp_url=totp_url,
            totp_identifier=totp_identifier,
            browser_session_id=browser_session_id,
            browser_profile_id=browser_profile_id,
            max_screenshot_scrolls=max_screenshot_scrolls,
            extra_http_headers=extra_http_headers,
            browser_address=browser_address,
            ai_fallback=ai_fallback,
            run_with=run_with,
            request_options=request_options,
        )
        return _response.data

    def get_run(self, run_id: str, *, request_options: typing.Optional[RequestOptions] = None) -> GetRunResponse:
        """
        Get run information (task run, workflow run)

        Parameters
        ----------
        run_id : str
            The id of the task run or the workflow run.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        GetRunResponse
            Successfully got run

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.get_run(
            run_id="tsk_123",
        )
        """
        _response = self._raw_client.get_run(run_id, request_options=request_options)
        return _response.data

    def cancel_run(
        self, run_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> typing.Optional[typing.Any]:
        """
        Cancel a run (task or workflow)

        Parameters
        ----------
        run_id : str
            The id of the task run or the workflow run to cancel.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.Optional[typing.Any]
            Successful Response

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.cancel_run(
            run_id="run_id",
        )
        """
        _response = self._raw_client.cancel_run(run_id, request_options=request_options)
        return _response.data

    def get_workflows(
        self,
        *,
        page: typing.Optional[int] = None,
        page_size: typing.Optional[int] = None,
        only_saved_tasks: typing.Optional[bool] = None,
        only_workflows: typing.Optional[bool] = None,
        only_templates: typing.Optional[bool] = None,
        search_key: typing.Optional[str] = None,
        title: typing.Optional[str] = None,
        folder_id: typing.Optional[str] = None,
        status: typing.Optional[typing.Union[WorkflowStatus, typing.Sequence[WorkflowStatus]]] = None,
        template: typing.Optional[bool] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> typing.List[Workflow]:
        """
        Get all workflows with the latest version for the organization.

        Search semantics:
        - If `search_key` is provided, its value is used as a unified search term for
          `workflows.title`, `folders.title`, and workflow parameter metadata (key, description, and default_value for
          `WorkflowParameterModel`).
        - Falls back to deprecated `title` (title-only search) if `search_key` is not provided.
        - Parameter metadata search excludes soft-deleted parameter rows across all parameter tables.

        Parameters
        ----------
        page : typing.Optional[int]

        page_size : typing.Optional[int]

        only_saved_tasks : typing.Optional[bool]

        only_workflows : typing.Optional[bool]

        only_templates : typing.Optional[bool]

        search_key : typing.Optional[str]
            Unified search across workflow title, folder name, and parameter metadata (key, description, default_value).

        title : typing.Optional[str]
            Deprecated: use search_key instead.

        folder_id : typing.Optional[str]
            Filter workflows by folder ID

        status : typing.Optional[typing.Union[WorkflowStatus, typing.Sequence[WorkflowStatus]]]

        template : typing.Optional[bool]

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.List[Workflow]
            Successful Response

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.get_workflows(
            page=1,
            page_size=1,
            only_saved_tasks=True,
            only_workflows=True,
            only_templates=True,
            search_key="search_key",
            title="title",
            folder_id="folder_id",
            template=True,
        )
        """
        _response = self._raw_client.get_workflows(
            page=page,
            page_size=page_size,
            only_saved_tasks=only_saved_tasks,
            only_workflows=only_workflows,
            only_templates=only_templates,
            search_key=search_key,
            title=title,
            folder_id=folder_id,
            status=status,
            template=template,
            request_options=request_options,
        )
        return _response.data

    def create_workflow(
        self,
        *,
        folder_id: typing.Optional[str] = None,
        json_definition: typing.Optional[WorkflowCreateYamlRequest] = OMIT,
        yaml_definition: typing.Optional[str] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> Workflow:
        """
        Create a new workflow

        Parameters
        ----------
        folder_id : typing.Optional[str]
            Optional folder ID to assign the workflow to

        json_definition : typing.Optional[WorkflowCreateYamlRequest]
            Workflow definition in JSON format

        yaml_definition : typing.Optional[str]
            Workflow definition in YAML format

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        Workflow
            Successfully created workflow

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.create_workflow(
            folder_id="folder_id",
        )
        """
        _response = self._raw_client.create_workflow(
            folder_id=folder_id,
            json_definition=json_definition,
            yaml_definition=yaml_definition,
            request_options=request_options,
        )
        return _response.data

    def update_workflow(
        self,
        workflow_id: str,
        *,
        json_definition: typing.Optional[WorkflowCreateYamlRequest] = OMIT,
        yaml_definition: typing.Optional[str] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> Workflow:
        """
        Update a workflow

        Parameters
        ----------
        workflow_id : str
            The ID of the workflow to update. Workflow ID starts with `wpid_`.

        json_definition : typing.Optional[WorkflowCreateYamlRequest]
            Workflow definition in JSON format

        yaml_definition : typing.Optional[str]
            Workflow definition in YAML format

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        Workflow
            Successfully updated workflow

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.update_workflow(
            workflow_id="wpid_123",
        )
        """
        _response = self._raw_client.update_workflow(
            workflow_id,
            json_definition=json_definition,
            yaml_definition=yaml_definition,
            request_options=request_options,
        )
        return _response.data

    def delete_workflow(
        self, workflow_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> typing.Optional[typing.Any]:
        """
        Delete a workflow

        Parameters
        ----------
        workflow_id : str
            The ID of the workflow to delete. Workflow ID starts with `wpid_`.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.Optional[typing.Any]
            Successfully deleted workflow

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.delete_workflow(
            workflow_id="wpid_123",
        )
        """
        _response = self._raw_client.delete_workflow(workflow_id, request_options=request_options)
        return _response.data

    def get_artifact(self, artifact_id: str, *, request_options: typing.Optional[RequestOptions] = None) -> Artifact:
        """
        Get an artifact

        Parameters
        ----------
        artifact_id : str

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        Artifact
            Successfully retrieved artifact

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.get_artifact(
            artifact_id="artifact_id",
        )
        """
        _response = self._raw_client.get_artifact(artifact_id, request_options=request_options)
        return _response.data

    def get_run_artifacts(
        self,
        run_id: str,
        *,
        artifact_type: typing.Optional[typing.Union[ArtifactType, typing.Sequence[ArtifactType]]] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> typing.List[Artifact]:
        """
        Get artifacts for a run

        Parameters
        ----------
        run_id : str
            The id of the task run or the workflow run.

        artifact_type : typing.Optional[typing.Union[ArtifactType, typing.Sequence[ArtifactType]]]

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.List[Artifact]
            Successful Response

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.get_run_artifacts(
            run_id="run_id",
        )
        """
        _response = self._raw_client.get_run_artifacts(
            run_id, artifact_type=artifact_type, request_options=request_options
        )
        return _response.data

    def retry_run_webhook(
        self,
        run_id: str,
        *,
        request: typing.Optional[RetryRunWebhookRequest] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> typing.Optional[typing.Any]:
        """
        Retry sending the webhook for a run

        Parameters
        ----------
        run_id : str
            The id of the task run or the workflow run.

        request : typing.Optional[RetryRunWebhookRequest]

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.Optional[typing.Any]
            Successful Response

        Examples
        --------
        from skyvern import RetryRunWebhookRequest, Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.retry_run_webhook(
            run_id="tsk_123",
            request=RetryRunWebhookRequest(),
        )
        """
        _response = self._raw_client.retry_run_webhook(run_id, request=request, request_options=request_options)
        return _response.data

    def get_run_timeline(
        self, run_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> typing.List[WorkflowRunTimeline]:
        """
        Get timeline for a run (workflow run or task_v2 run)

        Parameters
        ----------
        run_id : str
            The id of the workflow run or task_v2 run.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.List[WorkflowRunTimeline]
            Successfully retrieved run timeline

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.get_run_timeline(
            run_id="wr_123",
        )
        """
        _response = self._raw_client.get_run_timeline(run_id, request_options=request_options)
        return _response.data

    def upload_file(
        self, *, file: core.File, request_options: typing.Optional[RequestOptions] = None
    ) -> UploadFileResponse:
        """
        Parameters
        ----------
        file : core.File
            See core.File for more documentation

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        UploadFileResponse
            Successful Response

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.upload_file()
        """
        _response = self._raw_client.upload_file(file=file, request_options=request_options)
        return _response.data

    def list_browser_profiles(
        self, *, include_deleted: typing.Optional[bool] = None, request_options: typing.Optional[RequestOptions] = None
    ) -> typing.List[BrowserProfile]:
        """
        Get all browser profiles for the organization

        Parameters
        ----------
        include_deleted : typing.Optional[bool]
            Include deleted browser profiles

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.List[BrowserProfile]
            Successfully retrieved browser profiles

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.list_browser_profiles(
            include_deleted=True,
        )
        """
        _response = self._raw_client.list_browser_profiles(
            include_deleted=include_deleted, request_options=request_options
        )
        return _response.data

    def create_browser_profile(
        self,
        *,
        name: str,
        description: typing.Optional[str] = OMIT,
        browser_session_id: typing.Optional[str] = OMIT,
        workflow_run_id: typing.Optional[str] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> BrowserProfile:
        """
        Create a browser profile from a persistent browser session or workflow run.

        Parameters
        ----------
        name : str
            Name for the browser profile

        description : typing.Optional[str]
            Optional profile description

        browser_session_id : typing.Optional[str]
            Persistent browser session to convert into a profile

        workflow_run_id : typing.Optional[str]
            Workflow run whose persisted session should be captured

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        BrowserProfile
            Successfully created browser profile

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.create_browser_profile(
            name="name",
        )
        """
        _response = self._raw_client.create_browser_profile(
            name=name,
            description=description,
            browser_session_id=browser_session_id,
            workflow_run_id=workflow_run_id,
            request_options=request_options,
        )
        return _response.data

    def get_browser_profile(
        self, profile_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> BrowserProfile:
        """
        Get a specific browser profile by ID

        Parameters
        ----------
        profile_id : str
            The ID of the browser profile. browser_profile_id starts with `bp_`

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        BrowserProfile
            Successfully retrieved browser profile

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.get_browser_profile(
            profile_id="bp_123456",
        )
        """
        _response = self._raw_client.get_browser_profile(profile_id, request_options=request_options)
        return _response.data

    def delete_browser_profile(
        self, profile_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> None:
        """
        Delete a browser profile (soft delete)

        Parameters
        ----------
        profile_id : str
            The ID of the browser profile to delete. browser_profile_id starts with `bp_`

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        None

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.delete_browser_profile(
            profile_id="bp_123456",
        )
        """
        _response = self._raw_client.delete_browser_profile(profile_id, request_options=request_options)
        return _response.data

    def get_browser_sessions(
        self, *, request_options: typing.Optional[RequestOptions] = None
    ) -> typing.List[BrowserSessionResponse]:
        """
        Get all active browser sessions for the organization

        Parameters
        ----------
        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.List[BrowserSessionResponse]
            Successfully retrieved all active browser sessions

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.get_browser_sessions()
        """
        _response = self._raw_client.get_browser_sessions(request_options=request_options)
        return _response.data

    def create_browser_session(
        self,
        *,
        timeout: typing.Optional[int] = OMIT,
        proxy_location: typing.Optional[ProxyLocation] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> BrowserSessionResponse:
        """
        Create a browser session that persists across multiple runs

        Parameters
        ----------
        timeout : typing.Optional[int]
            Timeout in minutes for the session. Timeout is applied after the session is started. Must be between 5 and 1440. Defaults to 60.

        proxy_location : typing.Optional[ProxyLocation]

            Geographic Proxy location to route the browser traffic through. This is only available in Skyvern Cloud.

            Available geotargeting options:
            - RESIDENTIAL: the default value. Skyvern Cloud uses a random US residential proxy.
            - RESIDENTIAL_ES: Spain
            - RESIDENTIAL_IE: Ireland
            - RESIDENTIAL_GB: United Kingdom
            - RESIDENTIAL_IN: India
            - RESIDENTIAL_JP: Japan
            - RESIDENTIAL_FR: France
            - RESIDENTIAL_DE: Germany
            - RESIDENTIAL_NZ: New Zealand
            - RESIDENTIAL_ZA: South Africa
            - RESIDENTIAL_AR: Argentina
            - RESIDENTIAL_AU: Australia
            - RESIDENTIAL_ISP: ISP proxy
            - US-CA: California
            - US-NY: New York
            - US-TX: Texas
            - US-FL: Florida
            - US-WA: Washington
            - NONE: No proxy

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        BrowserSessionResponse
            Successfully created browser session

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.create_browser_session()
        """
        _response = self._raw_client.create_browser_session(
            timeout=timeout, proxy_location=proxy_location, request_options=request_options
        )
        return _response.data

    def close_browser_session(
        self, browser_session_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> typing.Optional[typing.Any]:
        """
        Close a session. Once closed, the session cannot be used again.

        Parameters
        ----------
        browser_session_id : str
            The ID of the browser session to close. completed_at will be set when the browser session is closed. browser_session_id starts with `pbs_`

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.Optional[typing.Any]
            Successfully closed browser session

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.close_browser_session(
            browser_session_id="pbs_123456",
        )
        """
        _response = self._raw_client.close_browser_session(browser_session_id, request_options=request_options)
        return _response.data

    def get_browser_session(
        self, browser_session_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> BrowserSessionResponse:
        """
        Get details about a specific browser session, including the browser address for cdp connection.

        Parameters
        ----------
        browser_session_id : str
            The ID of the browser session. browser_session_id starts with `pbs_`

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        BrowserSessionResponse
            Successfully retrieved browser session details

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.get_browser_session(
            browser_session_id="pbs_123456",
        )
        """
        _response = self._raw_client.get_browser_session(browser_session_id, request_options=request_options)
        return _response.data

    def send_totp_code(
        self,
        *,
        totp_identifier: str,
        content: str,
        task_id: typing.Optional[str] = OMIT,
        workflow_id: typing.Optional[str] = OMIT,
        workflow_run_id: typing.Optional[str] = OMIT,
        source: typing.Optional[str] = OMIT,
        expired_at: typing.Optional[dt.datetime] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> TotpCode:
        """
        Forward a TOTP (2FA, MFA) email or sms message containing the code to Skyvern. This endpoint stores the code in database so that Skyvern can use it while running tasks/workflows.

        Parameters
        ----------
        totp_identifier : str
            The identifier of the TOTP code. It can be the email address, phone number, or the identifier of the user.

        content : str
            The content of the TOTP code. It can be the email content that contains the TOTP code, or the sms message that contains the TOTP code. Skyvern will automatically extract the TOTP code from the content.

        task_id : typing.Optional[str]
            The task_id the totp code is for. It can be the task_id of the task that the TOTP code is for.

        workflow_id : typing.Optional[str]
            The workflow ID the TOTP code is for. It can be the workflow ID of the workflow that the TOTP code is for.

        workflow_run_id : typing.Optional[str]
            The workflow run id that the TOTP code is for. It can be the workflow run id of the workflow run that the TOTP code is for.

        source : typing.Optional[str]
            An optional field. The source of the TOTP code. e.g. email, sms, etc.

        expired_at : typing.Optional[dt.datetime]
            The timestamp when the TOTP code expires

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        TotpCode
            Successful Response

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.send_totp_code(
            totp_identifier="john.doe@example.com",
            content="Hello, your verification code is 123456",
        )
        """
        _response = self._raw_client.send_totp_code(
            totp_identifier=totp_identifier,
            content=content,
            task_id=task_id,
            workflow_id=workflow_id,
            workflow_run_id=workflow_run_id,
            source=source,
            expired_at=expired_at,
            request_options=request_options,
        )
        return _response.data

    def get_credentials(
        self,
        *,
        page: typing.Optional[int] = None,
        page_size: typing.Optional[int] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> typing.List[CredentialResponse]:
        """
        Retrieves a paginated list of credentials for the current organization

        Parameters
        ----------
        page : typing.Optional[int]
            Page number for pagination

        page_size : typing.Optional[int]
            Number of items per page

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.List[CredentialResponse]
            Successful Response

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.get_credentials(
            page=1,
            page_size=10,
        )
        """
        _response = self._raw_client.get_credentials(page=page, page_size=page_size, request_options=request_options)
        return _response.data

    def create_credential(
        self,
        *,
        name: str,
        credential_type: SkyvernForgeSdkSchemasCredentialsCredentialType,
        credential: CreateCredentialRequestCredential,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> CredentialResponse:
        """
        Creates a new credential for the current organization

        Parameters
        ----------
        name : str
            Name of the credential

        credential_type : SkyvernForgeSdkSchemasCredentialsCredentialType
            Type of credential to create

        credential : CreateCredentialRequestCredential
            The credential data to store

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        CredentialResponse
            Successful Response

        Examples
        --------
        from skyvern import NonEmptyPasswordCredential, Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.create_credential(
            name="My Credential",
            credential_type="password",
            credential=NonEmptyPasswordCredential(
                password="securepassword123",
                username="user@example.com",
                totp="JBSWY3DPEHPK3PXP",
            ),
        )
        """
        _response = self._raw_client.create_credential(
            name=name, credential_type=credential_type, credential=credential, request_options=request_options
        )
        return _response.data

    def delete_credential(self, credential_id: str, *, request_options: typing.Optional[RequestOptions] = None) -> None:
        """
        Deletes a specific credential by its ID

        Parameters
        ----------
        credential_id : str
            The unique identifier of the credential to delete

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        None

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.delete_credential(
            credential_id="cred_1234567890",
        )
        """
        _response = self._raw_client.delete_credential(credential_id, request_options=request_options)
        return _response.data

    def get_credential(
        self, credential_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> CredentialResponse:
        """
        Retrieves a specific credential by its ID

        Parameters
        ----------
        credential_id : str
            The unique identifier of the credential

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        CredentialResponse
            Successful Response

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.get_credential(
            credential_id="cred_1234567890",
        )
        """
        _response = self._raw_client.get_credential(credential_id, request_options=request_options)
        return _response.data

    def login(
        self,
        *,
        credential_type: SkyvernSchemasRunBlocksCredentialType,
        url: typing.Optional[str] = OMIT,
        webhook_url: typing.Optional[str] = OMIT,
        proxy_location: typing.Optional[ProxyLocation] = OMIT,
        totp_identifier: typing.Optional[str] = OMIT,
        totp_url: typing.Optional[str] = OMIT,
        browser_session_id: typing.Optional[str] = OMIT,
        browser_profile_id: typing.Optional[str] = OMIT,
        browser_address: typing.Optional[str] = OMIT,
        extra_http_headers: typing.Optional[typing.Dict[str, typing.Optional[str]]] = OMIT,
        max_screenshot_scrolling_times: typing.Optional[int] = OMIT,
        prompt: typing.Optional[str] = OMIT,
        credential_id: typing.Optional[str] = OMIT,
        bitwarden_collection_id: typing.Optional[str] = OMIT,
        bitwarden_item_id: typing.Optional[str] = OMIT,
        onepassword_vault_id: typing.Optional[str] = OMIT,
        onepassword_item_id: typing.Optional[str] = OMIT,
        azure_vault_name: typing.Optional[str] = OMIT,
        azure_vault_username_key: typing.Optional[str] = OMIT,
        azure_vault_password_key: typing.Optional[str] = OMIT,
        azure_vault_totp_secret_key: typing.Optional[str] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> WorkflowRunResponse:
        """
        Log in to a website using either credential stored in Skyvern, Bitwarden, 1Password, or Azure Vault

        Parameters
        ----------
        credential_type : SkyvernSchemasRunBlocksCredentialType
            Where to get the credential from

        url : typing.Optional[str]
            Website URL

        webhook_url : typing.Optional[str]
            Webhook URL to send status updates

        proxy_location : typing.Optional[ProxyLocation]
            Proxy location to use

        totp_identifier : typing.Optional[str]
            Identifier for TOTP (Time-based One-Time Password) if required

        totp_url : typing.Optional[str]
            TOTP URL to fetch one-time passwords

        browser_session_id : typing.Optional[str]
            ID of the browser session to use, which is prefixed by `pbs_` e.g. `pbs_123456`

        browser_profile_id : typing.Optional[str]
            ID of a browser profile to reuse for this run

        browser_address : typing.Optional[str]
            The CDP address for the task.

        extra_http_headers : typing.Optional[typing.Dict[str, typing.Optional[str]]]
            Additional HTTP headers to include in requests

        max_screenshot_scrolling_times : typing.Optional[int]
            Maximum number of times to scroll for screenshots

        prompt : typing.Optional[str]
            Login instructions. Skyvern has default prompt/instruction for login if this field is not provided.

        credential_id : typing.Optional[str]
            ID of the Skyvern credential to use for login.

        bitwarden_collection_id : typing.Optional[str]
            Bitwarden collection ID. You can find it in the Bitwarden collection URL. e.g. `https://vault.bitwarden.com/vaults/collection_id/items`

        bitwarden_item_id : typing.Optional[str]
            Bitwarden item ID

        onepassword_vault_id : typing.Optional[str]
            1Password vault ID

        onepassword_item_id : typing.Optional[str]
            1Password item ID

        azure_vault_name : typing.Optional[str]
            Azure Vault Name

        azure_vault_username_key : typing.Optional[str]
            Azure Vault username key

        azure_vault_password_key : typing.Optional[str]
            Azure Vault password key

        azure_vault_totp_secret_key : typing.Optional[str]
            Azure Vault TOTP secret key

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        WorkflowRunResponse
            Successful Response

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.login(
            credential_type="skyvern",
        )
        """
        _response = self._raw_client.login(
            credential_type=credential_type,
            url=url,
            webhook_url=webhook_url,
            proxy_location=proxy_location,
            totp_identifier=totp_identifier,
            totp_url=totp_url,
            browser_session_id=browser_session_id,
            browser_profile_id=browser_profile_id,
            browser_address=browser_address,
            extra_http_headers=extra_http_headers,
            max_screenshot_scrolling_times=max_screenshot_scrolling_times,
            prompt=prompt,
            credential_id=credential_id,
            bitwarden_collection_id=bitwarden_collection_id,
            bitwarden_item_id=bitwarden_item_id,
            onepassword_vault_id=onepassword_vault_id,
            onepassword_item_id=onepassword_item_id,
            azure_vault_name=azure_vault_name,
            azure_vault_username_key=azure_vault_username_key,
            azure_vault_password_key=azure_vault_password_key,
            azure_vault_totp_secret_key=azure_vault_totp_secret_key,
            request_options=request_options,
        )
        return _response.data

    def download_files(
        self,
        *,
        navigation_goal: str,
        url: typing.Optional[str] = OMIT,
        webhook_url: typing.Optional[str] = OMIT,
        proxy_location: typing.Optional[ProxyLocation] = OMIT,
        totp_identifier: typing.Optional[str] = OMIT,
        totp_url: typing.Optional[str] = OMIT,
        browser_session_id: typing.Optional[str] = OMIT,
        browser_profile_id: typing.Optional[str] = OMIT,
        browser_address: typing.Optional[str] = OMIT,
        extra_http_headers: typing.Optional[typing.Dict[str, typing.Optional[str]]] = OMIT,
        max_screenshot_scrolling_times: typing.Optional[int] = OMIT,
        download_suffix: typing.Optional[str] = OMIT,
        download_timeout: typing.Optional[float] = OMIT,
        max_steps_per_run: typing.Optional[int] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> WorkflowRunResponse:
        """
        Download a file from a website by navigating and clicking download buttons

        Parameters
        ----------
        navigation_goal : str
            Instructions for navigating to and downloading the file

        url : typing.Optional[str]
            Website URL

        webhook_url : typing.Optional[str]
            Webhook URL to send status updates

        proxy_location : typing.Optional[ProxyLocation]
            Proxy location to use

        totp_identifier : typing.Optional[str]
            Identifier for TOTP (Time-based One-Time Password) if required

        totp_url : typing.Optional[str]
            TOTP URL to fetch one-time passwords

        browser_session_id : typing.Optional[str]
            ID of the browser session to use, which is prefixed by `pbs_` e.g. `pbs_123456`

        browser_profile_id : typing.Optional[str]
            ID of a browser profile to reuse for this run

        browser_address : typing.Optional[str]
            The CDP address for the task.

        extra_http_headers : typing.Optional[typing.Dict[str, typing.Optional[str]]]
            Additional HTTP headers to include in requests

        max_screenshot_scrolling_times : typing.Optional[int]
            Maximum number of times to scroll for screenshots

        download_suffix : typing.Optional[str]
            Suffix or complete filename for the downloaded file

        download_timeout : typing.Optional[float]
            Timeout in seconds for the download operation

        max_steps_per_run : typing.Optional[int]
            Maximum number of steps to execute

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        WorkflowRunResponse
            Successful Response

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.download_files(
            navigation_goal="navigation_goal",
        )
        """
        _response = self._raw_client.download_files(
            navigation_goal=navigation_goal,
            url=url,
            webhook_url=webhook_url,
            proxy_location=proxy_location,
            totp_identifier=totp_identifier,
            totp_url=totp_url,
            browser_session_id=browser_session_id,
            browser_profile_id=browser_profile_id,
            browser_address=browser_address,
            extra_http_headers=extra_http_headers,
            max_screenshot_scrolling_times=max_screenshot_scrolling_times,
            download_suffix=download_suffix,
            download_timeout=download_timeout,
            max_steps_per_run=max_steps_per_run,
            request_options=request_options,
        )
        return _response.data

    def get_scripts(
        self,
        *,
        page: typing.Optional[int] = None,
        page_size: typing.Optional[int] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> typing.List[Script]:
        """
        Retrieves a paginated list of scripts for the current organization

        Parameters
        ----------
        page : typing.Optional[int]
            Page number for pagination

        page_size : typing.Optional[int]
            Number of items per page

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.List[Script]
            Successful Response

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.get_scripts(
            page=1,
            page_size=10,
        )
        """
        _response = self._raw_client.get_scripts(page=page, page_size=page_size, request_options=request_options)
        return _response.data

    def create_script(
        self,
        *,
        workflow_id: typing.Optional[str] = OMIT,
        run_id: typing.Optional[str] = OMIT,
        files: typing.Optional[typing.Sequence[ScriptFileCreate]] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> CreateScriptResponse:
        """
        Create a new script with optional files and metadata

        Parameters
        ----------
        workflow_id : typing.Optional[str]
            Associated workflow ID

        run_id : typing.Optional[str]
            Associated run ID

        files : typing.Optional[typing.Sequence[ScriptFileCreate]]
            Array of files to include in the script

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        CreateScriptResponse
            Successful Response

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.create_script()
        """
        _response = self._raw_client.create_script(
            workflow_id=workflow_id, run_id=run_id, files=files, request_options=request_options
        )
        return _response.data

    def get_script(self, script_id: str, *, request_options: typing.Optional[RequestOptions] = None) -> Script:
        """
        Retrieves a specific script by its ID

        Parameters
        ----------
        script_id : str
            The unique identifier of the script

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        Script
            Successful Response

        Examples
        --------
        from skyvern import Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.get_script(
            script_id="s_abc123",
        )
        """
        _response = self._raw_client.get_script(script_id, request_options=request_options)
        return _response.data

    def deploy_script(
        self,
        script_id: str,
        *,
        files: typing.Sequence[ScriptFileCreate],
        request_options: typing.Optional[RequestOptions] = None,
    ) -> CreateScriptResponse:
        """
        Deploy a script with updated files, creating a new version

        Parameters
        ----------
        script_id : str
            The unique identifier of the script

        files : typing.Sequence[ScriptFileCreate]
            Array of files to include in the script

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        CreateScriptResponse
            Successful Response

        Examples
        --------
        from skyvern import ScriptFileCreate, Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.deploy_script(
            script_id="s_abc123",
            files=[
                ScriptFileCreate(
                    path="src/main.py",
                    content="content",
                )
            ],
        )
        """
        _response = self._raw_client.deploy_script(script_id, files=files, request_options=request_options)
        return _response.data

    def run_sdk_action(
        self,
        *,
        url: str,
        action: RunSdkActionRequestAction,
        browser_session_id: typing.Optional[str] = OMIT,
        browser_address: typing.Optional[str] = OMIT,
        workflow_run_id: typing.Optional[str] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> RunSdkActionResponse:
        """
        Execute a single SDK action with the specified parameters

        Parameters
        ----------
        url : str
            The URL where the action should be executed

        action : RunSdkActionRequestAction
            The action to execute with its specific parameters

        browser_session_id : typing.Optional[str]
            The browser session ID

        browser_address : typing.Optional[str]
            The browser address

        workflow_run_id : typing.Optional[str]
            Optional workflow run ID to continue an existing workflow run

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        RunSdkActionResponse
            Successful Response

        Examples
        --------
        from skyvern import RunSdkActionRequestAction_AiAct, Skyvern

        client = Skyvern(
            api_key="YOUR_API_KEY",
        )
        client.run_sdk_action(
            url="url",
            action=RunSdkActionRequestAction_AiAct(),
        )
        """
        _response = self._raw_client.run_sdk_action(
            url=url,
            action=action,
            browser_session_id=browser_session_id,
            browser_address=browser_address,
            workflow_run_id=workflow_run_id,
            request_options=request_options,
        )
        return _response.data

    @property
    def scripts(self):
        if self._scripts is None:
            from .scripts.client import ScriptsClient  # noqa: E402

            self._scripts = ScriptsClient(client_wrapper=self._client_wrapper)
        return self._scripts


class AsyncSkyvern:
    """
    Use this class to access the different functions within the SDK. You can instantiate any number of clients with different configuration that will propagate to these functions.

    Parameters
    ----------
    base_url : typing.Optional[str]
        The base url to use for requests from the client.

    environment : SkyvernEnvironment
        The environment to use for requests from the client. from .environment import SkyvernEnvironment



        Defaults to SkyvernEnvironment.CLOUD



    api_key : typing.Optional[str]
    headers : typing.Optional[typing.Dict[str, str]]
        Additional headers to send with every request.

    timeout : typing.Optional[float]
        The timeout to be used, in seconds, for requests. By default the timeout is 60 seconds, unless a custom httpx client is used, in which case this default is not enforced.

    follow_redirects : typing.Optional[bool]
        Whether the default httpx client follows redirects or not, this is irrelevant if a custom httpx client is passed in.

    httpx_client : typing.Optional[httpx.AsyncClient]
        The httpx client to use for making requests, a preconfigured client is used by default, however this is useful should you want to pass in any custom httpx configuration.

    Examples
    --------
    from skyvern import AsyncSkyvern

    client = AsyncSkyvern(
        api_key="YOUR_API_KEY",
    )
    """

    def __init__(
        self,
        *,
        base_url: typing.Optional[str] = None,
        environment: SkyvernEnvironment = SkyvernEnvironment.CLOUD,
        api_key: typing.Optional[str] = None,
        headers: typing.Optional[typing.Dict[str, str]] = None,
        timeout: typing.Optional[float] = None,
        follow_redirects: typing.Optional[bool] = True,
        httpx_client: typing.Optional[httpx.AsyncClient] = None,
    ):
        _defaulted_timeout = (
            timeout if timeout is not None else 60 if httpx_client is None else httpx_client.timeout.read
        )
        self._client_wrapper = AsyncClientWrapper(
            base_url=_get_base_url(base_url=base_url, environment=environment),
            api_key=api_key,
            headers=headers,
            httpx_client=httpx_client
            if httpx_client is not None
            else httpx.AsyncClient(timeout=_defaulted_timeout, follow_redirects=follow_redirects)
            if follow_redirects is not None
            else httpx.AsyncClient(timeout=_defaulted_timeout),
            timeout=_defaulted_timeout,
        )
        self._raw_client = AsyncRawSkyvern(client_wrapper=self._client_wrapper)
        self._scripts: typing.Optional[AsyncScriptsClient] = None

    @property
    def with_raw_response(self) -> AsyncRawSkyvern:
        """
        Retrieves a raw implementation of this client that returns raw responses.

        Returns
        -------
        AsyncRawSkyvern
        """
        return self._raw_client

    async def run_task(
        self,
        *,
        prompt: str,
        user_agent: typing.Optional[str] = None,
        url: typing.Optional[str] = OMIT,
        engine: typing.Optional[RunEngine] = OMIT,
        title: typing.Optional[str] = OMIT,
        proxy_location: typing.Optional[TaskRunRequestProxyLocation] = OMIT,
        data_extraction_schema: typing.Optional[TaskRunRequestDataExtractionSchema] = OMIT,
        error_code_mapping: typing.Optional[typing.Dict[str, typing.Optional[str]]] = OMIT,
        max_steps: typing.Optional[int] = OMIT,
        webhook_url: typing.Optional[str] = OMIT,
        totp_identifier: typing.Optional[str] = OMIT,
        totp_url: typing.Optional[str] = OMIT,
        browser_session_id: typing.Optional[str] = OMIT,
        model: typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] = OMIT,
        extra_http_headers: typing.Optional[typing.Dict[str, typing.Optional[str]]] = OMIT,
        publish_workflow: typing.Optional[bool] = OMIT,
        include_action_history_in_verification: typing.Optional[bool] = OMIT,
        max_screenshot_scrolls: typing.Optional[int] = OMIT,
        browser_address: typing.Optional[str] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> TaskRunResponse:
        """
        Run a task

        Parameters
        ----------
        prompt : str

            The goal or task description for Skyvern to accomplish

        user_agent : typing.Optional[str]

        url : typing.Optional[str]

            The starting URL for the task. If not provided, Skyvern will attempt to determine an appropriate URL

        engine : typing.Optional[RunEngine]

            The engine that powers the agent task. The default value is `skyvern-2.0`, the latest Skyvern agent that performs pretty well with complex and multi-step tasks. `skyvern-1.0` is good for simple tasks like filling a form, or searching for information on Google. The `openai-cua` engine uses OpenAI's CUA model. The `anthropic-cua` uses Anthropic's Claude Sonnet 3.7 model with the computer use tool.

        title : typing.Optional[str]
            The title for the task

        proxy_location : typing.Optional[TaskRunRequestProxyLocation]

            Geographic Proxy location to route the browser traffic through. This is only available in Skyvern Cloud.

            Available geotargeting options:
            - RESIDENTIAL: the default value. Skyvern Cloud uses a random US residential proxy.
            - RESIDENTIAL_ES: Spain
            - RESIDENTIAL_IE: Ireland
            - RESIDENTIAL_GB: United Kingdom
            - RESIDENTIAL_IN: India
            - RESIDENTIAL_JP: Japan
            - RESIDENTIAL_FR: France
            - RESIDENTIAL_DE: Germany
            - RESIDENTIAL_NZ: New Zealand
            - RESIDENTIAL_ZA: South Africa
            - RESIDENTIAL_AR: Argentina
            - RESIDENTIAL_AU: Australia
            - RESIDENTIAL_ISP: ISP proxy
            - US-CA: California
            - US-NY: New York
            - US-TX: Texas
            - US-FL: Florida
            - US-WA: Washington
            - NONE: No proxy
             Can also be a GeoTarget object for granular city/state targeting: {"country": "US", "subdivision": "CA", "city": "San Francisco"}

        data_extraction_schema : typing.Optional[TaskRunRequestDataExtractionSchema]

            The schema for data to be extracted from the webpage. If you're looking for consistent data schema being returned by the agent, it's highly recommended to use https://json-schema.org/.

        error_code_mapping : typing.Optional[typing.Dict[str, typing.Optional[str]]]

            Custom mapping of error codes to error messages if Skyvern encounters an error.

        max_steps : typing.Optional[int]

            Maximum number of steps the task can take. Task will fail if it exceeds this number. Cautions: you are charged per step so please set this number to a reasonable value. Contact sales@skyvern.com for custom pricing.

        webhook_url : typing.Optional[str]

            After a run is finished, send an update to this URL. Refer to https://www.skyvern.com/docs/running-tasks/webhooks-faq for more details.

        totp_identifier : typing.Optional[str]

            Identifier for the TOTP/2FA/MFA code when the code is pushed to Skyvern. Refer to https://www.skyvern.com/docs/credentials/totp#option-3-push-code-to-skyvern for more details.

        totp_url : typing.Optional[str]

            URL that serves TOTP/2FA/MFA codes for Skyvern to use during the workflow run. Refer to https://www.skyvern.com/docs/credentials/totp#option-2-get-code-from-your-endpoint for more details.

        browser_session_id : typing.Optional[str]

            Run the task or workflow in the specific Skyvern browser session. Having a browser session can persist the real-time state of the browser, so that the next run can continue from where the previous run left off.

        model : typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]]

            Optional model configuration.

        extra_http_headers : typing.Optional[typing.Dict[str, typing.Optional[str]]]
            The extra HTTP headers for the requests in browser.

        publish_workflow : typing.Optional[bool]
            Whether to publish this task as a reusable workflow. Only available for skyvern-2.0.

        include_action_history_in_verification : typing.Optional[bool]
            Whether to include action history when verifying that the task is complete

        max_screenshot_scrolls : typing.Optional[int]
            The maximum number of scrolls for the post action screenshot. When it's None or 0, it takes the current viewpoint screenshot.

        browser_address : typing.Optional[str]
            The CDP address for the task.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        TaskRunResponse
            Successfully run task

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.run_task(
                user_agent="x-user-agent",
                prompt="Find the top 3 posts on Hacker News.",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.run_task(
            prompt=prompt,
            user_agent=user_agent,
            url=url,
            engine=engine,
            title=title,
            proxy_location=proxy_location,
            data_extraction_schema=data_extraction_schema,
            error_code_mapping=error_code_mapping,
            max_steps=max_steps,
            webhook_url=webhook_url,
            totp_identifier=totp_identifier,
            totp_url=totp_url,
            browser_session_id=browser_session_id,
            model=model,
            extra_http_headers=extra_http_headers,
            publish_workflow=publish_workflow,
            include_action_history_in_verification=include_action_history_in_verification,
            max_screenshot_scrolls=max_screenshot_scrolls,
            browser_address=browser_address,
            request_options=request_options,
        )
        return _response.data

    async def run_workflow(
        self,
        *,
        workflow_id: str,
        template: typing.Optional[bool] = None,
        max_steps_override: typing.Optional[int] = None,
        user_agent: typing.Optional[str] = None,
        parameters: typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] = OMIT,
        title: typing.Optional[str] = OMIT,
        proxy_location: typing.Optional[WorkflowRunRequestProxyLocation] = OMIT,
        webhook_url: typing.Optional[str] = OMIT,
        totp_url: typing.Optional[str] = OMIT,
        totp_identifier: typing.Optional[str] = OMIT,
        browser_session_id: typing.Optional[str] = OMIT,
        browser_profile_id: typing.Optional[str] = OMIT,
        max_screenshot_scrolls: typing.Optional[int] = OMIT,
        extra_http_headers: typing.Optional[typing.Dict[str, typing.Optional[str]]] = OMIT,
        browser_address: typing.Optional[str] = OMIT,
        ai_fallback: typing.Optional[bool] = OMIT,
        run_with: typing.Optional[str] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> WorkflowRunResponse:
        """
        Run a workflow

        Parameters
        ----------
        workflow_id : str
            ID of the workflow to run. Workflow ID starts with `wpid_`.

        template : typing.Optional[bool]

        max_steps_override : typing.Optional[int]

        user_agent : typing.Optional[str]

        parameters : typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]]
            Parameters to pass to the workflow

        title : typing.Optional[str]
            The title for this workflow run

        proxy_location : typing.Optional[WorkflowRunRequestProxyLocation]

            Geographic Proxy location to route the browser traffic through. This is only available in Skyvern Cloud.

            Available geotargeting options:
            - RESIDENTIAL: the default value. Skyvern Cloud uses a random US residential proxy.
            - RESIDENTIAL_ES: Spain
            - RESIDENTIAL_IE: Ireland
            - RESIDENTIAL_GB: United Kingdom
            - RESIDENTIAL_IN: India
            - RESIDENTIAL_JP: Japan
            - RESIDENTIAL_FR: France
            - RESIDENTIAL_DE: Germany
            - RESIDENTIAL_NZ: New Zealand
            - RESIDENTIAL_ZA: South Africa
            - RESIDENTIAL_AR: Argentina
            - RESIDENTIAL_AU: Australia
            - RESIDENTIAL_ISP: ISP proxy
            - US-CA: California
            - US-NY: New York
            - US-TX: Texas
            - US-FL: Florida
            - US-WA: Washington
            - NONE: No proxy
             Can also be a GeoTarget object for granular city/state targeting: {"country": "US", "subdivision": "CA", "city": "San Francisco"}

        webhook_url : typing.Optional[str]
            URL to send workflow status updates to after a run is finished. Refer to https://www.skyvern.com/docs/running-tasks/webhooks-faq for webhook questions.

        totp_url : typing.Optional[str]

            URL that serves TOTP/2FA/MFA codes for Skyvern to use during the workflow run. Refer to https://www.skyvern.com/docs/credentials/totp#option-2-get-code-from-your-endpoint for more details.

        totp_identifier : typing.Optional[str]

            Identifier for the TOTP/2FA/MFA code when the code is pushed to Skyvern. Refer to https://www.skyvern.com/docs/credentials/totp#option-3-push-code-to-skyvern for more details.

        browser_session_id : typing.Optional[str]
            ID of a Skyvern browser session to reuse, having it continue from the current screen state

        browser_profile_id : typing.Optional[str]
            ID of a browser profile to reuse for this workflow run

        max_screenshot_scrolls : typing.Optional[int]
            The maximum number of scrolls for the post action screenshot. When it's None or 0, it takes the current viewpoint screenshot.

        extra_http_headers : typing.Optional[typing.Dict[str, typing.Optional[str]]]
            The extra HTTP headers for the requests in browser.

        browser_address : typing.Optional[str]
            The CDP address for the workflow run.

        ai_fallback : typing.Optional[bool]
            Whether to fallback to AI if the workflow run fails.

        run_with : typing.Optional[str]
            Whether to run the workflow with agent or code.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        WorkflowRunResponse
            Successfully run workflow

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.run_workflow(
                max_steps_override=1,
                user_agent="x-user-agent",
                template=True,
                workflow_id="wpid_123",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.run_workflow(
            workflow_id=workflow_id,
            template=template,
            max_steps_override=max_steps_override,
            user_agent=user_agent,
            parameters=parameters,
            title=title,
            proxy_location=proxy_location,
            webhook_url=webhook_url,
            totp_url=totp_url,
            totp_identifier=totp_identifier,
            browser_session_id=browser_session_id,
            browser_profile_id=browser_profile_id,
            max_screenshot_scrolls=max_screenshot_scrolls,
            extra_http_headers=extra_http_headers,
            browser_address=browser_address,
            ai_fallback=ai_fallback,
            run_with=run_with,
            request_options=request_options,
        )
        return _response.data

    async def get_run(self, run_id: str, *, request_options: typing.Optional[RequestOptions] = None) -> GetRunResponse:
        """
        Get run information (task run, workflow run)

        Parameters
        ----------
        run_id : str
            The id of the task run or the workflow run.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        GetRunResponse
            Successfully got run

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.get_run(
                run_id="tsk_123",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.get_run(run_id, request_options=request_options)
        return _response.data

    async def cancel_run(
        self, run_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> typing.Optional[typing.Any]:
        """
        Cancel a run (task or workflow)

        Parameters
        ----------
        run_id : str
            The id of the task run or the workflow run to cancel.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.Optional[typing.Any]
            Successful Response

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.cancel_run(
                run_id="run_id",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.cancel_run(run_id, request_options=request_options)
        return _response.data

    async def get_workflows(
        self,
        *,
        page: typing.Optional[int] = None,
        page_size: typing.Optional[int] = None,
        only_saved_tasks: typing.Optional[bool] = None,
        only_workflows: typing.Optional[bool] = None,
        only_templates: typing.Optional[bool] = None,
        search_key: typing.Optional[str] = None,
        title: typing.Optional[str] = None,
        folder_id: typing.Optional[str] = None,
        status: typing.Optional[typing.Union[WorkflowStatus, typing.Sequence[WorkflowStatus]]] = None,
        template: typing.Optional[bool] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> typing.List[Workflow]:
        """
        Get all workflows with the latest version for the organization.

        Search semantics:
        - If `search_key` is provided, its value is used as a unified search term for
          `workflows.title`, `folders.title`, and workflow parameter metadata (key, description, and default_value for
          `WorkflowParameterModel`).
        - Falls back to deprecated `title` (title-only search) if `search_key` is not provided.
        - Parameter metadata search excludes soft-deleted parameter rows across all parameter tables.

        Parameters
        ----------
        page : typing.Optional[int]

        page_size : typing.Optional[int]

        only_saved_tasks : typing.Optional[bool]

        only_workflows : typing.Optional[bool]

        only_templates : typing.Optional[bool]

        search_key : typing.Optional[str]
            Unified search across workflow title, folder name, and parameter metadata (key, description, default_value).

        title : typing.Optional[str]
            Deprecated: use search_key instead.

        folder_id : typing.Optional[str]
            Filter workflows by folder ID

        status : typing.Optional[typing.Union[WorkflowStatus, typing.Sequence[WorkflowStatus]]]

        template : typing.Optional[bool]

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.List[Workflow]
            Successful Response

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.get_workflows(
                page=1,
                page_size=1,
                only_saved_tasks=True,
                only_workflows=True,
                only_templates=True,
                search_key="search_key",
                title="title",
                folder_id="folder_id",
                template=True,
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.get_workflows(
            page=page,
            page_size=page_size,
            only_saved_tasks=only_saved_tasks,
            only_workflows=only_workflows,
            only_templates=only_templates,
            search_key=search_key,
            title=title,
            folder_id=folder_id,
            status=status,
            template=template,
            request_options=request_options,
        )
        return _response.data

    async def create_workflow(
        self,
        *,
        folder_id: typing.Optional[str] = None,
        json_definition: typing.Optional[WorkflowCreateYamlRequest] = OMIT,
        yaml_definition: typing.Optional[str] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> Workflow:
        """
        Create a new workflow

        Parameters
        ----------
        folder_id : typing.Optional[str]
            Optional folder ID to assign the workflow to

        json_definition : typing.Optional[WorkflowCreateYamlRequest]
            Workflow definition in JSON format

        yaml_definition : typing.Optional[str]
            Workflow definition in YAML format

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        Workflow
            Successfully created workflow

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.create_workflow(
                folder_id="folder_id",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.create_workflow(
            folder_id=folder_id,
            json_definition=json_definition,
            yaml_definition=yaml_definition,
            request_options=request_options,
        )
        return _response.data

    async def update_workflow(
        self,
        workflow_id: str,
        *,
        json_definition: typing.Optional[WorkflowCreateYamlRequest] = OMIT,
        yaml_definition: typing.Optional[str] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> Workflow:
        """
        Update a workflow

        Parameters
        ----------
        workflow_id : str
            The ID of the workflow to update. Workflow ID starts with `wpid_`.

        json_definition : typing.Optional[WorkflowCreateYamlRequest]
            Workflow definition in JSON format

        yaml_definition : typing.Optional[str]
            Workflow definition in YAML format

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        Workflow
            Successfully updated workflow

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.update_workflow(
                workflow_id="wpid_123",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.update_workflow(
            workflow_id,
            json_definition=json_definition,
            yaml_definition=yaml_definition,
            request_options=request_options,
        )
        return _response.data

    async def delete_workflow(
        self, workflow_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> typing.Optional[typing.Any]:
        """
        Delete a workflow

        Parameters
        ----------
        workflow_id : str
            The ID of the workflow to delete. Workflow ID starts with `wpid_`.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.Optional[typing.Any]
            Successfully deleted workflow

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.delete_workflow(
                workflow_id="wpid_123",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.delete_workflow(workflow_id, request_options=request_options)
        return _response.data

    async def get_artifact(
        self, artifact_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> Artifact:
        """
        Get an artifact

        Parameters
        ----------
        artifact_id : str

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        Artifact
            Successfully retrieved artifact

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.get_artifact(
                artifact_id="artifact_id",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.get_artifact(artifact_id, request_options=request_options)
        return _response.data

    async def get_run_artifacts(
        self,
        run_id: str,
        *,
        artifact_type: typing.Optional[typing.Union[ArtifactType, typing.Sequence[ArtifactType]]] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> typing.List[Artifact]:
        """
        Get artifacts for a run

        Parameters
        ----------
        run_id : str
            The id of the task run or the workflow run.

        artifact_type : typing.Optional[typing.Union[ArtifactType, typing.Sequence[ArtifactType]]]

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.List[Artifact]
            Successful Response

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.get_run_artifacts(
                run_id="run_id",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.get_run_artifacts(
            run_id, artifact_type=artifact_type, request_options=request_options
        )
        return _response.data

    async def retry_run_webhook(
        self,
        run_id: str,
        *,
        request: typing.Optional[RetryRunWebhookRequest] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> typing.Optional[typing.Any]:
        """
        Retry sending the webhook for a run

        Parameters
        ----------
        run_id : str
            The id of the task run or the workflow run.

        request : typing.Optional[RetryRunWebhookRequest]

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.Optional[typing.Any]
            Successful Response

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern, RetryRunWebhookRequest

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.retry_run_webhook(
                run_id="tsk_123",
                request=RetryRunWebhookRequest(),
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.retry_run_webhook(run_id, request=request, request_options=request_options)
        return _response.data

    async def get_run_timeline(
        self, run_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> typing.List[WorkflowRunTimeline]:
        """
        Get timeline for a run (workflow run or task_v2 run)

        Parameters
        ----------
        run_id : str
            The id of the workflow run or task_v2 run.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.List[WorkflowRunTimeline]
            Successfully retrieved run timeline

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.get_run_timeline(
                run_id="wr_123",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.get_run_timeline(run_id, request_options=request_options)
        return _response.data

    async def upload_file(
        self, *, file: core.File, request_options: typing.Optional[RequestOptions] = None
    ) -> UploadFileResponse:
        """
        Parameters
        ----------
        file : core.File
            See core.File for more documentation

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        UploadFileResponse
            Successful Response

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.upload_file()


        asyncio.run(main())
        """
        _response = await self._raw_client.upload_file(file=file, request_options=request_options)
        return _response.data

    async def list_browser_profiles(
        self, *, include_deleted: typing.Optional[bool] = None, request_options: typing.Optional[RequestOptions] = None
    ) -> typing.List[BrowserProfile]:
        """
        Get all browser profiles for the organization

        Parameters
        ----------
        include_deleted : typing.Optional[bool]
            Include deleted browser profiles

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.List[BrowserProfile]
            Successfully retrieved browser profiles

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.list_browser_profiles(
                include_deleted=True,
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.list_browser_profiles(
            include_deleted=include_deleted, request_options=request_options
        )
        return _response.data

    async def create_browser_profile(
        self,
        *,
        name: str,
        description: typing.Optional[str] = OMIT,
        browser_session_id: typing.Optional[str] = OMIT,
        workflow_run_id: typing.Optional[str] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> BrowserProfile:
        """
        Create a browser profile from a persistent browser session or workflow run.

        Parameters
        ----------
        name : str
            Name for the browser profile

        description : typing.Optional[str]
            Optional profile description

        browser_session_id : typing.Optional[str]
            Persistent browser session to convert into a profile

        workflow_run_id : typing.Optional[str]
            Workflow run whose persisted session should be captured

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        BrowserProfile
            Successfully created browser profile

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.create_browser_profile(
                name="name",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.create_browser_profile(
            name=name,
            description=description,
            browser_session_id=browser_session_id,
            workflow_run_id=workflow_run_id,
            request_options=request_options,
        )
        return _response.data

    async def get_browser_profile(
        self, profile_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> BrowserProfile:
        """
        Get a specific browser profile by ID

        Parameters
        ----------
        profile_id : str
            The ID of the browser profile. browser_profile_id starts with `bp_`

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        BrowserProfile
            Successfully retrieved browser profile

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.get_browser_profile(
                profile_id="bp_123456",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.get_browser_profile(profile_id, request_options=request_options)
        return _response.data

    async def delete_browser_profile(
        self, profile_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> None:
        """
        Delete a browser profile (soft delete)

        Parameters
        ----------
        profile_id : str
            The ID of the browser profile to delete. browser_profile_id starts with `bp_`

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        None

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.delete_browser_profile(
                profile_id="bp_123456",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.delete_browser_profile(profile_id, request_options=request_options)
        return _response.data

    async def get_browser_sessions(
        self, *, request_options: typing.Optional[RequestOptions] = None
    ) -> typing.List[BrowserSessionResponse]:
        """
        Get all active browser sessions for the organization

        Parameters
        ----------
        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.List[BrowserSessionResponse]
            Successfully retrieved all active browser sessions

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.get_browser_sessions()


        asyncio.run(main())
        """
        _response = await self._raw_client.get_browser_sessions(request_options=request_options)
        return _response.data

    async def create_browser_session(
        self,
        *,
        timeout: typing.Optional[int] = OMIT,
        proxy_location: typing.Optional[ProxyLocation] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> BrowserSessionResponse:
        """
        Create a browser session that persists across multiple runs

        Parameters
        ----------
        timeout : typing.Optional[int]
            Timeout in minutes for the session. Timeout is applied after the session is started. Must be between 5 and 1440. Defaults to 60.

        proxy_location : typing.Optional[ProxyLocation]

            Geographic Proxy location to route the browser traffic through. This is only available in Skyvern Cloud.

            Available geotargeting options:
            - RESIDENTIAL: the default value. Skyvern Cloud uses a random US residential proxy.
            - RESIDENTIAL_ES: Spain
            - RESIDENTIAL_IE: Ireland
            - RESIDENTIAL_GB: United Kingdom
            - RESIDENTIAL_IN: India
            - RESIDENTIAL_JP: Japan
            - RESIDENTIAL_FR: France
            - RESIDENTIAL_DE: Germany
            - RESIDENTIAL_NZ: New Zealand
            - RESIDENTIAL_ZA: South Africa
            - RESIDENTIAL_AR: Argentina
            - RESIDENTIAL_AU: Australia
            - RESIDENTIAL_ISP: ISP proxy
            - US-CA: California
            - US-NY: New York
            - US-TX: Texas
            - US-FL: Florida
            - US-WA: Washington
            - NONE: No proxy

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        BrowserSessionResponse
            Successfully created browser session

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.create_browser_session()


        asyncio.run(main())
        """
        _response = await self._raw_client.create_browser_session(
            timeout=timeout, proxy_location=proxy_location, request_options=request_options
        )
        return _response.data

    async def close_browser_session(
        self, browser_session_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> typing.Optional[typing.Any]:
        """
        Close a session. Once closed, the session cannot be used again.

        Parameters
        ----------
        browser_session_id : str
            The ID of the browser session to close. completed_at will be set when the browser session is closed. browser_session_id starts with `pbs_`

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.Optional[typing.Any]
            Successfully closed browser session

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.close_browser_session(
                browser_session_id="pbs_123456",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.close_browser_session(browser_session_id, request_options=request_options)
        return _response.data

    async def get_browser_session(
        self, browser_session_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> BrowserSessionResponse:
        """
        Get details about a specific browser session, including the browser address for cdp connection.

        Parameters
        ----------
        browser_session_id : str
            The ID of the browser session. browser_session_id starts with `pbs_`

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        BrowserSessionResponse
            Successfully retrieved browser session details

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.get_browser_session(
                browser_session_id="pbs_123456",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.get_browser_session(browser_session_id, request_options=request_options)
        return _response.data

    async def send_totp_code(
        self,
        *,
        totp_identifier: str,
        content: str,
        task_id: typing.Optional[str] = OMIT,
        workflow_id: typing.Optional[str] = OMIT,
        workflow_run_id: typing.Optional[str] = OMIT,
        source: typing.Optional[str] = OMIT,
        expired_at: typing.Optional[dt.datetime] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> TotpCode:
        """
        Forward a TOTP (2FA, MFA) email or sms message containing the code to Skyvern. This endpoint stores the code in database so that Skyvern can use it while running tasks/workflows.

        Parameters
        ----------
        totp_identifier : str
            The identifier of the TOTP code. It can be the email address, phone number, or the identifier of the user.

        content : str
            The content of the TOTP code. It can be the email content that contains the TOTP code, or the sms message that contains the TOTP code. Skyvern will automatically extract the TOTP code from the content.

        task_id : typing.Optional[str]
            The task_id the totp code is for. It can be the task_id of the task that the TOTP code is for.

        workflow_id : typing.Optional[str]
            The workflow ID the TOTP code is for. It can be the workflow ID of the workflow that the TOTP code is for.

        workflow_run_id : typing.Optional[str]
            The workflow run id that the TOTP code is for. It can be the workflow run id of the workflow run that the TOTP code is for.

        source : typing.Optional[str]
            An optional field. The source of the TOTP code. e.g. email, sms, etc.

        expired_at : typing.Optional[dt.datetime]
            The timestamp when the TOTP code expires

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        TotpCode
            Successful Response

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.send_totp_code(
                totp_identifier="john.doe@example.com",
                content="Hello, your verification code is 123456",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.send_totp_code(
            totp_identifier=totp_identifier,
            content=content,
            task_id=task_id,
            workflow_id=workflow_id,
            workflow_run_id=workflow_run_id,
            source=source,
            expired_at=expired_at,
            request_options=request_options,
        )
        return _response.data

    async def get_credentials(
        self,
        *,
        page: typing.Optional[int] = None,
        page_size: typing.Optional[int] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> typing.List[CredentialResponse]:
        """
        Retrieves a paginated list of credentials for the current organization

        Parameters
        ----------
        page : typing.Optional[int]
            Page number for pagination

        page_size : typing.Optional[int]
            Number of items per page

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.List[CredentialResponse]
            Successful Response

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.get_credentials(
                page=1,
                page_size=10,
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.get_credentials(
            page=page, page_size=page_size, request_options=request_options
        )
        return _response.data

    async def create_credential(
        self,
        *,
        name: str,
        credential_type: SkyvernForgeSdkSchemasCredentialsCredentialType,
        credential: CreateCredentialRequestCredential,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> CredentialResponse:
        """
        Creates a new credential for the current organization

        Parameters
        ----------
        name : str
            Name of the credential

        credential_type : SkyvernForgeSdkSchemasCredentialsCredentialType
            Type of credential to create

        credential : CreateCredentialRequestCredential
            The credential data to store

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        CredentialResponse
            Successful Response

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern, NonEmptyPasswordCredential

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.create_credential(
                name="My Credential",
                credential_type="password",
                credential=NonEmptyPasswordCredential(
                    password="securepassword123",
                    username="user@example.com",
                    totp="JBSWY3DPEHPK3PXP",
                ),
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.create_credential(
            name=name, credential_type=credential_type, credential=credential, request_options=request_options
        )
        return _response.data

    async def delete_credential(
        self, credential_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> None:
        """
        Deletes a specific credential by its ID

        Parameters
        ----------
        credential_id : str
            The unique identifier of the credential to delete

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        None

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.delete_credential(
                credential_id="cred_1234567890",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.delete_credential(credential_id, request_options=request_options)
        return _response.data

    async def get_credential(
        self, credential_id: str, *, request_options: typing.Optional[RequestOptions] = None
    ) -> CredentialResponse:
        """
        Retrieves a specific credential by its ID

        Parameters
        ----------
        credential_id : str
            The unique identifier of the credential

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        CredentialResponse
            Successful Response

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.get_credential(
                credential_id="cred_1234567890",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.get_credential(credential_id, request_options=request_options)
        return _response.data

    async def login(
        self,
        *,
        credential_type: SkyvernSchemasRunBlocksCredentialType,
        url: typing.Optional[str] = OMIT,
        webhook_url: typing.Optional[str] = OMIT,
        proxy_location: typing.Optional[ProxyLocation] = OMIT,
        totp_identifier: typing.Optional[str] = OMIT,
        totp_url: typing.Optional[str] = OMIT,
        browser_session_id: typing.Optional[str] = OMIT,
        browser_profile_id: typing.Optional[str] = OMIT,
        browser_address: typing.Optional[str] = OMIT,
        extra_http_headers: typing.Optional[typing.Dict[str, typing.Optional[str]]] = OMIT,
        max_screenshot_scrolling_times: typing.Optional[int] = OMIT,
        prompt: typing.Optional[str] = OMIT,
        credential_id: typing.Optional[str] = OMIT,
        bitwarden_collection_id: typing.Optional[str] = OMIT,
        bitwarden_item_id: typing.Optional[str] = OMIT,
        onepassword_vault_id: typing.Optional[str] = OMIT,
        onepassword_item_id: typing.Optional[str] = OMIT,
        azure_vault_name: typing.Optional[str] = OMIT,
        azure_vault_username_key: typing.Optional[str] = OMIT,
        azure_vault_password_key: typing.Optional[str] = OMIT,
        azure_vault_totp_secret_key: typing.Optional[str] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> WorkflowRunResponse:
        """
        Log in to a website using either credential stored in Skyvern, Bitwarden, 1Password, or Azure Vault

        Parameters
        ----------
        credential_type : SkyvernSchemasRunBlocksCredentialType
            Where to get the credential from

        url : typing.Optional[str]
            Website URL

        webhook_url : typing.Optional[str]
            Webhook URL to send status updates

        proxy_location : typing.Optional[ProxyLocation]
            Proxy location to use

        totp_identifier : typing.Optional[str]
            Identifier for TOTP (Time-based One-Time Password) if required

        totp_url : typing.Optional[str]
            TOTP URL to fetch one-time passwords

        browser_session_id : typing.Optional[str]
            ID of the browser session to use, which is prefixed by `pbs_` e.g. `pbs_123456`

        browser_profile_id : typing.Optional[str]
            ID of a browser profile to reuse for this run

        browser_address : typing.Optional[str]
            The CDP address for the task.

        extra_http_headers : typing.Optional[typing.Dict[str, typing.Optional[str]]]
            Additional HTTP headers to include in requests

        max_screenshot_scrolling_times : typing.Optional[int]
            Maximum number of times to scroll for screenshots

        prompt : typing.Optional[str]
            Login instructions. Skyvern has default prompt/instruction for login if this field is not provided.

        credential_id : typing.Optional[str]
            ID of the Skyvern credential to use for login.

        bitwarden_collection_id : typing.Optional[str]
            Bitwarden collection ID. You can find it in the Bitwarden collection URL. e.g. `https://vault.bitwarden.com/vaults/collection_id/items`

        bitwarden_item_id : typing.Optional[str]
            Bitwarden item ID

        onepassword_vault_id : typing.Optional[str]
            1Password vault ID

        onepassword_item_id : typing.Optional[str]
            1Password item ID

        azure_vault_name : typing.Optional[str]
            Azure Vault Name

        azure_vault_username_key : typing.Optional[str]
            Azure Vault username key

        azure_vault_password_key : typing.Optional[str]
            Azure Vault password key

        azure_vault_totp_secret_key : typing.Optional[str]
            Azure Vault TOTP secret key

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        WorkflowRunResponse
            Successful Response

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.login(
                credential_type="skyvern",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.login(
            credential_type=credential_type,
            url=url,
            webhook_url=webhook_url,
            proxy_location=proxy_location,
            totp_identifier=totp_identifier,
            totp_url=totp_url,
            browser_session_id=browser_session_id,
            browser_profile_id=browser_profile_id,
            browser_address=browser_address,
            extra_http_headers=extra_http_headers,
            max_screenshot_scrolling_times=max_screenshot_scrolling_times,
            prompt=prompt,
            credential_id=credential_id,
            bitwarden_collection_id=bitwarden_collection_id,
            bitwarden_item_id=bitwarden_item_id,
            onepassword_vault_id=onepassword_vault_id,
            onepassword_item_id=onepassword_item_id,
            azure_vault_name=azure_vault_name,
            azure_vault_username_key=azure_vault_username_key,
            azure_vault_password_key=azure_vault_password_key,
            azure_vault_totp_secret_key=azure_vault_totp_secret_key,
            request_options=request_options,
        )
        return _response.data

    async def download_files(
        self,
        *,
        navigation_goal: str,
        url: typing.Optional[str] = OMIT,
        webhook_url: typing.Optional[str] = OMIT,
        proxy_location: typing.Optional[ProxyLocation] = OMIT,
        totp_identifier: typing.Optional[str] = OMIT,
        totp_url: typing.Optional[str] = OMIT,
        browser_session_id: typing.Optional[str] = OMIT,
        browser_profile_id: typing.Optional[str] = OMIT,
        browser_address: typing.Optional[str] = OMIT,
        extra_http_headers: typing.Optional[typing.Dict[str, typing.Optional[str]]] = OMIT,
        max_screenshot_scrolling_times: typing.Optional[int] = OMIT,
        download_suffix: typing.Optional[str] = OMIT,
        download_timeout: typing.Optional[float] = OMIT,
        max_steps_per_run: typing.Optional[int] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> WorkflowRunResponse:
        """
        Download a file from a website by navigating and clicking download buttons

        Parameters
        ----------
        navigation_goal : str
            Instructions for navigating to and downloading the file

        url : typing.Optional[str]
            Website URL

        webhook_url : typing.Optional[str]
            Webhook URL to send status updates

        proxy_location : typing.Optional[ProxyLocation]
            Proxy location to use

        totp_identifier : typing.Optional[str]
            Identifier for TOTP (Time-based One-Time Password) if required

        totp_url : typing.Optional[str]
            TOTP URL to fetch one-time passwords

        browser_session_id : typing.Optional[str]
            ID of the browser session to use, which is prefixed by `pbs_` e.g. `pbs_123456`

        browser_profile_id : typing.Optional[str]
            ID of a browser profile to reuse for this run

        browser_address : typing.Optional[str]
            The CDP address for the task.

        extra_http_headers : typing.Optional[typing.Dict[str, typing.Optional[str]]]
            Additional HTTP headers to include in requests

        max_screenshot_scrolling_times : typing.Optional[int]
            Maximum number of times to scroll for screenshots

        download_suffix : typing.Optional[str]
            Suffix or complete filename for the downloaded file

        download_timeout : typing.Optional[float]
            Timeout in seconds for the download operation

        max_steps_per_run : typing.Optional[int]
            Maximum number of steps to execute

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        WorkflowRunResponse
            Successful Response

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.download_files(
                navigation_goal="navigation_goal",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.download_files(
            navigation_goal=navigation_goal,
            url=url,
            webhook_url=webhook_url,
            proxy_location=proxy_location,
            totp_identifier=totp_identifier,
            totp_url=totp_url,
            browser_session_id=browser_session_id,
            browser_profile_id=browser_profile_id,
            browser_address=browser_address,
            extra_http_headers=extra_http_headers,
            max_screenshot_scrolling_times=max_screenshot_scrolling_times,
            download_suffix=download_suffix,
            download_timeout=download_timeout,
            max_steps_per_run=max_steps_per_run,
            request_options=request_options,
        )
        return _response.data

    async def get_scripts(
        self,
        *,
        page: typing.Optional[int] = None,
        page_size: typing.Optional[int] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> typing.List[Script]:
        """
        Retrieves a paginated list of scripts for the current organization

        Parameters
        ----------
        page : typing.Optional[int]
            Page number for pagination

        page_size : typing.Optional[int]
            Number of items per page

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        typing.List[Script]
            Successful Response

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.get_scripts(
                page=1,
                page_size=10,
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.get_scripts(page=page, page_size=page_size, request_options=request_options)
        return _response.data

    async def create_script(
        self,
        *,
        workflow_id: typing.Optional[str] = OMIT,
        run_id: typing.Optional[str] = OMIT,
        files: typing.Optional[typing.Sequence[ScriptFileCreate]] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> CreateScriptResponse:
        """
        Create a new script with optional files and metadata

        Parameters
        ----------
        workflow_id : typing.Optional[str]
            Associated workflow ID

        run_id : typing.Optional[str]
            Associated run ID

        files : typing.Optional[typing.Sequence[ScriptFileCreate]]
            Array of files to include in the script

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        CreateScriptResponse
            Successful Response

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.create_script()


        asyncio.run(main())
        """
        _response = await self._raw_client.create_script(
            workflow_id=workflow_id, run_id=run_id, files=files, request_options=request_options
        )
        return _response.data

    async def get_script(self, script_id: str, *, request_options: typing.Optional[RequestOptions] = None) -> Script:
        """
        Retrieves a specific script by its ID

        Parameters
        ----------
        script_id : str
            The unique identifier of the script

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        Script
            Successful Response

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.get_script(
                script_id="s_abc123",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.get_script(script_id, request_options=request_options)
        return _response.data

    async def deploy_script(
        self,
        script_id: str,
        *,
        files: typing.Sequence[ScriptFileCreate],
        request_options: typing.Optional[RequestOptions] = None,
    ) -> CreateScriptResponse:
        """
        Deploy a script with updated files, creating a new version

        Parameters
        ----------
        script_id : str
            The unique identifier of the script

        files : typing.Sequence[ScriptFileCreate]
            Array of files to include in the script

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        CreateScriptResponse
            Successful Response

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern, ScriptFileCreate

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.deploy_script(
                script_id="s_abc123",
                files=[
                    ScriptFileCreate(
                        path="src/main.py",
                        content="content",
                    )
                ],
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.deploy_script(script_id, files=files, request_options=request_options)
        return _response.data

    async def run_sdk_action(
        self,
        *,
        url: str,
        action: RunSdkActionRequestAction,
        browser_session_id: typing.Optional[str] = OMIT,
        browser_address: typing.Optional[str] = OMIT,
        workflow_run_id: typing.Optional[str] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> RunSdkActionResponse:
        """
        Execute a single SDK action with the specified parameters

        Parameters
        ----------
        url : str
            The URL where the action should be executed

        action : RunSdkActionRequestAction
            The action to execute with its specific parameters

        browser_session_id : typing.Optional[str]
            The browser session ID

        browser_address : typing.Optional[str]
            The browser address

        workflow_run_id : typing.Optional[str]
            Optional workflow run ID to continue an existing workflow run

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        RunSdkActionResponse
            Successful Response

        Examples
        --------
        import asyncio

        from skyvern import AsyncSkyvern, RunSdkActionRequestAction_AiAct

        client = AsyncSkyvern(
            api_key="YOUR_API_KEY",
        )


        async def main() -> None:
            await client.run_sdk_action(
                url="url",
                action=RunSdkActionRequestAction_AiAct(),
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.run_sdk_action(
            url=url,
            action=action,
            browser_session_id=browser_session_id,
            browser_address=browser_address,
            workflow_run_id=workflow_run_id,
            request_options=request_options,
        )
        return _response.data

    @property
    def scripts(self):
        if self._scripts is None:
            from .scripts.client import AsyncScriptsClient  # noqa: E402

            self._scripts = AsyncScriptsClient(client_wrapper=self._client_wrapper)
        return self._scripts


def _get_base_url(*, base_url: typing.Optional[str] = None, environment: SkyvernEnvironment) -> str:
    if base_url is not None:
        return base_url
    elif environment is not None:
        return environment.value
    else:
        raise Exception("Please pass in either base_url or environment to construct the client")