137 lines
6.5 KiB
Python
137 lines
6.5 KiB
Python
from typing import Any, Dict, Type
|
|
|
|
from httpx import AsyncClient
|
|
from langchain.tools import BaseTool
|
|
from pydantic import BaseModel
|
|
from skyvern_langchain.schema import GetTaskInput, TaskV1Request, TaskV2Request
|
|
|
|
from skyvern.client import AsyncSkyvern
|
|
from skyvern.forge.sdk.schemas.tasks import CreateTaskResponse, TaskResponse
|
|
|
|
|
|
class SkyvernClientBaseTool(BaseTool):
|
|
credential: str = ""
|
|
base_url: str = "https://api.skyvern.com"
|
|
|
|
def get_client(self) -> AsyncSkyvern:
|
|
httpx_client = AsyncClient(
|
|
headers={
|
|
"Content-Type": "application/json",
|
|
"x-api-key": self.credential,
|
|
},
|
|
)
|
|
return AsyncSkyvern(base_url=self.base_url, httpx_client=httpx_client)
|
|
|
|
def _run(self) -> None:
|
|
raise NotImplementedError("skyvern client tool does not support sync")
|
|
|
|
|
|
class RunSkyvernClientTaskV1Tool(SkyvernClientBaseTool):
|
|
name: str = "run-skyvern-client-task-v1"
|
|
description: str = """Use Skyvern client to run a v1 task. It is usually used for the simple tasks. This function won't return until the task is finished."""
|
|
args_schema: Type[BaseModel] = TaskV1Request
|
|
|
|
async def _arun(self, **kwargs: Dict[str, Any]) -> TaskResponse:
|
|
task_request = TaskV1Request(**kwargs)
|
|
return await self.get_client().agent.run_task(
|
|
max_steps_override=task_request.max_steps,
|
|
timeout_seconds=task_request.timeout_seconds,
|
|
url=task_request.url,
|
|
title=task_request.title,
|
|
webhook_callback_url=task_request.webhook_callback_url,
|
|
totp_verification_url=task_request.totp_verification_url,
|
|
totp_identifier=task_request.totp_identifier,
|
|
navigation_goal=task_request.navigation_goal,
|
|
data_extraction_goal=task_request.data_extraction_goal,
|
|
navigation_payload=task_request.navigation_goal,
|
|
error_code_mapping=task_request.error_code_mapping,
|
|
proxy_location=task_request.proxy_location,
|
|
extracted_information_schema=task_request.extracted_information_schema,
|
|
complete_criterion=task_request.complete_criterion,
|
|
terminate_criterion=task_request.terminate_criterion,
|
|
browser_session_id=task_request.browser_session_id,
|
|
)
|
|
|
|
|
|
class QueueSkyvernClientTaskV1Tool(SkyvernClientBaseTool):
|
|
name: str = "queue-skyvern-client-task-v1"
|
|
description: str = """Use Skyvern client to queue a v1 task. It is usually used for the simple tasks. This function will return immediately and the task will be running in the background."""
|
|
args_schema: Type[BaseModel] = TaskV1Request
|
|
|
|
async def _arun(self, **kwargs: Dict[str, Any]) -> CreateTaskResponse:
|
|
task_request = TaskV1Request(**kwargs)
|
|
return await self.get_client().agent.create_task(
|
|
max_steps_override=task_request.max_steps,
|
|
url=task_request.url,
|
|
title=task_request.title,
|
|
webhook_callback_url=task_request.webhook_callback_url,
|
|
totp_verification_url=task_request.totp_verification_url,
|
|
totp_identifier=task_request.totp_identifier,
|
|
navigation_goal=task_request.navigation_goal,
|
|
data_extraction_goal=task_request.data_extraction_goal,
|
|
navigation_payload=task_request.navigation_goal,
|
|
error_code_mapping=task_request.error_code_mapping,
|
|
proxy_location=task_request.proxy_location,
|
|
extracted_information_schema=task_request.extracted_information_schema,
|
|
complete_criterion=task_request.complete_criterion,
|
|
terminate_criterion=task_request.terminate_criterion,
|
|
browser_session_id=task_request.browser_session_id,
|
|
)
|
|
|
|
|
|
class GetSkyvernClientTaskV1Tool(SkyvernClientBaseTool):
|
|
name: str = "get-skyvern-client-task-v1"
|
|
description: str = """Use Skyvern client to get a v1 task. v1 tasks are usually simple tasks."""
|
|
args_schema: Type[BaseModel] = GetTaskInput
|
|
|
|
async def _arun(self, task_id: str) -> TaskResponse:
|
|
return await self.get_client().agent.get_task(task_id=task_id)
|
|
|
|
|
|
class RunSkyvernClientTaskV2Tool(SkyvernClientBaseTool):
|
|
name: str = "run-skyvern-client-task-v2"
|
|
description: str = """Use Skyvern client to run a v2 task. It is usually used for the complicated tasks. This function won't return until the task is finished."""
|
|
args_schema: Type[BaseModel] = TaskV2Request
|
|
|
|
async def _arun(self, **kwargs: Dict[str, Any]) -> Dict[str, Any | None]:
|
|
task_request = TaskV2Request(**kwargs)
|
|
return await self.get_client().agent.run_observer_task_v_2(
|
|
max_iterations_override=task_request.max_iterations,
|
|
timeout_seconds=task_request.timeout_seconds,
|
|
user_prompt=task_request.user_prompt,
|
|
url=task_request.url,
|
|
browser_session_id=task_request.browser_session_id,
|
|
webhook_callback_url=task_request.webhook_callback_url,
|
|
totp_verification_url=task_request.totp_verification_url,
|
|
totp_identifier=task_request.totp_identifier,
|
|
proxy_location=task_request.proxy_location,
|
|
)
|
|
|
|
|
|
class QueueSkyvernClientTaskV2Tool(SkyvernClientBaseTool):
|
|
name: str = "queue-skyvern-client-task-v2"
|
|
description: str = """Use Skyvern client to queue a v2 task. It is usually used for the complicated tasks. This function will return immediately and the task will be running in the background."""
|
|
args_schema: Type[BaseModel] = TaskV2Request
|
|
|
|
async def _arun(self, **kwargs: Dict[str, Any]) -> Dict[str, Any | None]:
|
|
task_request = TaskV2Request(**kwargs)
|
|
return await self.get_client().agent.observer_task_v_2(
|
|
max_iterations_override=task_request.max_iterations,
|
|
user_prompt=task_request.user_prompt,
|
|
url=task_request.url,
|
|
browser_session_id=task_request.browser_session_id,
|
|
webhook_callback_url=task_request.webhook_callback_url,
|
|
totp_verification_url=task_request.totp_verification_url,
|
|
totp_identifier=task_request.totp_identifier,
|
|
proxy_location=task_request.proxy_location,
|
|
)
|
|
|
|
|
|
class GetSkyvernClientTaskV2Tool(SkyvernClientBaseTool):
|
|
name: str = "get-skyvern-client-task-v2"
|
|
description: str = """Use Skyvern client to get a v2 task. It is usually used for the complicated tasks."""
|
|
args_schema: Type[BaseModel] = GetTaskInput
|
|
|
|
async def _arun(self, task_id: str) -> Dict[str, Any | None]:
|
|
return await self.get_client().agent.get_observer_task_v_2(task_id=task_id)
|