Files
Dorod-Sky/integrations/llama_index/skyvern_llamaindex/client.py
2025-03-31 02:09:11 -04:00

174 lines
6.7 KiB
Python

from typing import Any, Dict, List, Literal, Optional
from httpx import AsyncClient
from llama_index.core.tools import FunctionTool
from llama_index.core.tools.tool_spec.base import SPEC_FUNCTION_TYPE, BaseToolSpec
from pydantic import BaseModel
from skyvern_llamaindex.settings import settings
from skyvern.client import AsyncSkyvern
from skyvern.forge.sdk.schemas.task_v2 import TaskV2Request
from skyvern.forge.sdk.schemas.tasks import CreateTaskResponse, TaskRequest, TaskResponse
class SkyvernTool(BaseModel):
api_key: str = settings.api_key
base_url: str = settings.base_url
def run_task(self) -> FunctionTool:
task_tool_spec = SkyvernTaskToolSpec(
api_key=self.api_key,
base_url=self.base_url,
)
return task_tool_spec.to_tool_list(["run_task"])[0]
def dispatch_task(self) -> FunctionTool:
task_tool_spec = SkyvernTaskToolSpec(
api_key=self.api_key,
base_url=self.base_url,
)
return task_tool_spec.to_tool_list(["dispatch_task"])[0]
def get_task(self) -> FunctionTool:
task_tool_spec = SkyvernTaskToolSpec(
api_key=self.api_key,
base_url=self.base_url,
)
return task_tool_spec.to_tool_list(["get_task"])[0]
class SkyvernTaskToolSpec(BaseToolSpec):
spec_functions: List[SPEC_FUNCTION_TYPE] = [
"run_task",
"dispatch_task",
"get_task",
]
def __init__(
self,
*,
api_key: str = settings.api_key,
base_url: str = settings.base_url,
engine: Literal["TaskV1", "TaskV2"] = settings.engine,
run_task_timeout_seconds: int = settings.run_task_timeout_seconds,
):
httpx_client = AsyncClient(
headers={
"Content-Type": "application/json",
"x-api-key": api_key,
},
)
self.engine = engine
self.run_task_timeout_seconds = run_task_timeout_seconds
self.client = AsyncSkyvern(base_url=base_url, httpx_client=httpx_client)
async def run_task(self, user_prompt: str, url: Optional[str] = None) -> TaskResponse | Dict[str, Any | None]:
"""
Use Skyvern client to run a task. This function won't return until the task is finished.
Args:
user_prompt[str]: The user's prompt describing the task.
url (Optional[str]): The URL of the target website for the task.
"""
if self.engine == "TaskV1":
return await self.run_task_v1(user_prompt=user_prompt, url=url)
else:
return await self.run_task_v2(user_prompt=user_prompt, url=url)
async def dispatch_task(
self, user_prompt: str, url: Optional[str] = None
) -> CreateTaskResponse | Dict[str, Any | None]:
"""
Use Skyvern client to dispatch a task. This function will return immediately and the task will be running in the background.
Args:
user_prompt[str]: The user's prompt describing the task.
url (Optional[str]): The URL of the target website for the task.
"""
if self.engine == "TaskV1":
return await self.dispatch_task_v1(user_prompt=user_prompt, url=url)
else:
return await self.dispatch_task_v2(user_prompt=user_prompt, url=url)
async def get_task(self, task_id: str) -> TaskResponse | Dict[str, Any | None]:
"""
Use Skyvern client to get a task.
Args:
task_id[str]: The id of the task.
"""
if self.engine == "TaskV1":
return await self.get_task_v1(task_id)
else:
return await self.get_task_v2(task_id)
async def run_task_v1(self, user_prompt: str, url: Optional[str] = None) -> TaskResponse:
task_generation = await self.client.agent.generate_task(
prompt=user_prompt,
)
task_request = TaskRequest.model_validate(task_generation, from_attributes=True)
if url is not None:
task_request.url = url
return await self.client.agent.run_task_v1(
timeout_seconds=self.run_task_timeout_seconds,
url=task_request.url,
title=task_request.title,
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,
extracted_information_schema=task_request.extracted_information_schema,
complete_criterion=task_request.complete_criterion,
terminate_criterion=task_request.terminate_criterion,
)
async def dispatch_task_v1(self, user_prompt: str, url: Optional[str] = None) -> CreateTaskResponse:
task_generation = await self.client.agent.generate_task(
prompt=user_prompt,
)
task_request = TaskRequest.model_validate(task_generation, from_attributes=True)
if url is not None:
task_request.url = url
return await self.client.agent.create_task(
url=task_request.url,
title=task_request.title,
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,
extracted_information_schema=task_request.extracted_information_schema,
complete_criterion=task_request.complete_criterion,
terminate_criterion=task_request.terminate_criterion,
)
async def get_task_v1(self, task_id: str) -> TaskResponse:
return await self.client.agent.get_task(task_id=task_id)
async def run_task_v2(self, user_prompt: str, url: Optional[str] = None) -> Dict[str, Any | None]:
task_request = TaskV2Request(url=url, user_prompt=user_prompt)
return await self.client.agent.run_observer_task_v_2(
timeout_seconds=self.run_task_timeout_seconds,
user_prompt=task_request.user_prompt,
url=task_request.url,
browser_session_id=task_request.browser_session_id,
)
async def dispatch_task_v2(self, user_prompt: str, url: Optional[str] = None) -> Dict[str, Any | None]:
task_request = TaskV2Request(url=url, user_prompt=user_prompt)
return await self.client.agent.observer_task_v_2(
user_prompt=task_request.user_prompt,
url=task_request.url,
browser_session_id=task_request.browser_session_id,
)
async def get_task_v2(self, task_id: str) -> Dict[str, Any | None]:
return await self.client.agent.get_observer_task_v_2(task_id=task_id)