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langchain/langchain/experimental/plan_and_execute/executors/base.py

41 lines
1.1 KiB
Python

from abc import abstractmethod
from typing import Any
from pydantic import BaseModel
from langchain.callbacks.manager import Callbacks
from langchain.chains.base import Chain
from langchain.experimental.plan_and_execute.schema import StepResponse
class BaseExecutor(BaseModel):
@abstractmethod
def step(
self, inputs: dict, callbacks: Callbacks = None, **kwargs: Any
) -> StepResponse:
"""Take step."""
@abstractmethod
async def astep(
self, inputs: dict, callbacks: Callbacks = None, **kwargs: Any
) -> StepResponse:
"""Take step."""
class ChainExecutor(BaseExecutor):
chain: Chain
def step(
self, inputs: dict, callbacks: Callbacks = None, **kwargs: Any
) -> StepResponse:
"""Take step."""
response = self.chain.run(**inputs, callbacks=callbacks)
return StepResponse(response=response)
async def astep(
self, inputs: dict, callbacks: Callbacks = None, **kwargs: Any
) -> StepResponse:
"""Take step."""
response = await self.chain.arun(**inputs, callbacks=callbacks)
return StepResponse(response=response)