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update langchain integration (#2388)

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This commit is contained in:
LawyZheng
2025-05-19 16:07:02 +08:00
committed by GitHub
parent 19ab386100
commit f9d3f3e2dc
6 changed files with 907 additions and 433 deletions
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85
integrations/langchain/skyvern_langchain/agent.py
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@@ -1,4 +1,4 @@
from typing import Any, Literal, Type
from typing import Any, Type
from langchain.tools import BaseTool
from litellm import BaseModel
@@ -6,52 +6,33 @@ from pydantic import Field
from skyvern_langchain.schema import CreateTaskInput, GetTaskInput
from skyvern_langchain.settings import settings
from skyvern.agent import SkyvernAgent
from skyvern.forge import app
from skyvern.forge.prompts import prompt_engine
from skyvern.forge.sdk.schemas.task_generations import TaskGenerationBase
from skyvern.forge.sdk.schemas.task_v2 import TaskV2, TaskV2Request
from skyvern.forge.sdk.schemas.tasks import CreateTaskResponse, TaskRequest, TaskResponse
from skyvern import Skyvern
from skyvern.client.agent.types.agent_get_run_response import AgentGetRunResponse
from skyvern.client.types.task_run_response import TaskRunResponse
from skyvern.schemas.runs import RunEngine
class SkyvernTaskBaseTool(BaseTool):
engine: Literal["TaskV1", "TaskV2"] = Field(default=settings.engine)
engine: RunEngine = Field(default=settings.engine)
run_task_timeout_seconds: int = Field(default=settings.run_task_timeout_seconds)
agent: SkyvernAgent = SkyvernAgent()
agent: Skyvern = Skyvern(base_url=None, api_key=None)
def _run(self, *args: Any, **kwargs: Any) -> None:
raise NotImplementedError("skyvern task tool does not support sync")
# TODO: agent haven't exposed the task v1 generate function, we can migrate to use agent interface when it's available
async def _generate_v1_task_request(self, user_prompt: str) -> TaskGenerationBase:
llm_prompt = prompt_engine.load_prompt("generate-task", user_prompt=user_prompt)
llm_response = await app.LLM_API_HANDLER(prompt=llm_prompt, prompt_name="generate-task")
return TaskGenerationBase.model_validate(llm_response)
class RunTask(SkyvernTaskBaseTool):
name: str = "run-skyvern-agent-task"
description: str = """Use Skyvern agent to run a task. This function won't return until the task is finished."""
args_schema: Type[BaseModel] = CreateTaskInput
async def _arun(self, user_prompt: str, url: str | None = None) -> TaskResponse | TaskV2:
if self.engine == "TaskV1":
return await self._arun_task_v1(user_prompt=user_prompt, url=url)
else:
return await self._arun_task_v2(user_prompt=user_prompt, url=url)
async def _arun_task_v1(self, user_prompt: str, url: str | None = None) -> TaskResponse:
task_generation = await self._generate_v1_task_request(user_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.agent.run_task_v1(task_request=task_request, timeout_seconds=self.run_task_timeout_seconds)
async def _arun_task_v2(self, user_prompt: str, url: str | None = None) -> TaskV2:
task_request = TaskV2Request(user_prompt=user_prompt, url=url)
return await self.agent.run_observer_task_v_2(
task_request=task_request, timeout_seconds=self.run_task_timeout_seconds
async def _arun(self, user_prompt: str, url: str | None = None) -> TaskRunResponse:
return await self.agent.run_task(
prompt=user_prompt,
url=url,
engine=self.engine,
timeout=self.run_task_timeout_seconds,
wait_for_completion=True,
)
@@ -60,23 +41,14 @@ class DispatchTask(SkyvernTaskBaseTool):
description: str = """Use Skyvern agent to dispatch a task. This function will return immediately and the task will be running in the background."""
args_schema: Type[BaseModel] = CreateTaskInput
async def _arun(self, user_prompt: str, url: str | None = None) -> CreateTaskResponse | TaskV2:
if self.engine == "TaskV1":
return await self._arun_task_v1(user_prompt=user_prompt, url=url)
else:
return await self._arun_task_v2(user_prompt=user_prompt, url=url)
async def _arun_task_v1(self, user_prompt: str, url: str | None = None) -> CreateTaskResponse:
task_generation = await self._generate_v1_task_request(user_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.agent.create_task_v1(task_request=task_request)
async def _arun_task_v2(self, user_prompt: str, url: str | None = None) -> TaskV2:
task_request = TaskV2Request(user_prompt=user_prompt, url=url)
return await self.agent.observer_task_v_2(task_request=task_request)
async def _arun(self, user_prompt: str, url: str | None = None) -> TaskRunResponse:
return await self.agent.run_task(
prompt=user_prompt,
url=url,
engine=self.engine,
timeout=self.run_task_timeout_seconds,
wait_for_completion=False,
)
class GetTask(SkyvernTaskBaseTool):
@@ -84,14 +56,5 @@ class GetTask(SkyvernTaskBaseTool):
description: str = """Use Skyvern agent to get a task."""
args_schema: Type[BaseModel] = GetTaskInput
async def _arun(self, task_id: str) -> TaskResponse | TaskV2 | None:
if self.engine == "TaskV1":
return await self._arun_task_v1(task_id=task_id)
else:
return await self._arun_task_v2(task_id=task_id)
async def _arun_task_v1(self, task_id: str) -> TaskResponse | None:
return await self.agent.get_task(task_id=task_id)
async def _arun_task_v2(self, task_id: str) -> TaskV2 | None:
return await self.agent.get_observer_task_v_2(task_id=task_id)
async def _arun(self, task_id: str) -> AgentGetRunResponse | None:
return await self.agent.get_run(run_id=task_id)