105 lines
3.3 KiB
Python
105 lines
3.3 KiB
Python
from typing import List, Optional
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from llama_index.core.tools import FunctionTool
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from llama_index.core.tools.tool_spec.base import SPEC_FUNCTION_TYPE, BaseToolSpec
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from pydantic import BaseModel
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from skyvern_llamaindex.settings import settings
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from skyvern import Skyvern
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from skyvern.client.agent.types.agent_get_run_response import AgentGetRunResponse
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from skyvern.client.types.task_run_response import TaskRunResponse
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from skyvern.schemas.runs import RunEngine
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class SkyvernTool(BaseModel):
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api_key: str = settings.api_key
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base_url: str = settings.base_url
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def run_task(self) -> FunctionTool:
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task_tool_spec = SkyvernTaskToolSpec(
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api_key=self.api_key,
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base_url=self.base_url,
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)
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return task_tool_spec.to_tool_list(["run_task"])[0]
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def dispatch_task(self) -> FunctionTool:
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task_tool_spec = SkyvernTaskToolSpec(
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api_key=self.api_key,
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base_url=self.base_url,
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)
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return task_tool_spec.to_tool_list(["dispatch_task"])[0]
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def get_task(self) -> FunctionTool:
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task_tool_spec = SkyvernTaskToolSpec(
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api_key=self.api_key,
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base_url=self.base_url,
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)
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return task_tool_spec.to_tool_list(["get_task"])[0]
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class SkyvernTaskToolSpec(BaseToolSpec):
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spec_functions: List[SPEC_FUNCTION_TYPE] = [
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"run_task",
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"dispatch_task",
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"get_task",
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]
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def __init__(
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self,
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*,
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api_key: str = settings.api_key,
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base_url: str = settings.base_url,
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engine: RunEngine = settings.engine,
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run_task_timeout_seconds: int = settings.run_task_timeout_seconds,
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):
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self.engine = engine
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self.run_task_timeout_seconds = run_task_timeout_seconds
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self.client = Skyvern(base_url=base_url, api_key=api_key)
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async def run_task(self, user_prompt: str, url: Optional[str] = None) -> TaskRunResponse:
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"""
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Use Skyvern client to run a task. This function won't return until the task is finished.
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Args:
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user_prompt[str]: The user's prompt describing the task.
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url (Optional[str]): The URL of the target website for the task.
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"""
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return await self.client.run_task(
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prompt=user_prompt,
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url=url,
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engine=self.engine,
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timeout=self.run_task_timeout_seconds,
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wait_for_completion=True,
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)
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async def dispatch_task(self, user_prompt: str, url: Optional[str] = None) -> TaskRunResponse:
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"""
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Use Skyvern client to dispatch a task. This function will return immediately and the task will be running in the background.
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Args:
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user_prompt[str]: The user's prompt describing the task.
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url (Optional[str]): The URL of the target website for the task.
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"""
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return await self.client.run_task(
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prompt=user_prompt,
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url=url,
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engine=self.engine,
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timeout=self.run_task_timeout_seconds,
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wait_for_completion=False,
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)
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async def get_task(self, task_id: str) -> AgentGetRunResponse | None:
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"""
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Use Skyvern client to get a task.
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Args:
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task_id[str]: The id of the task.
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"""
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return await self.client.get_run(run_id=task_id)
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