| import json | |
| from copy import deepcopy | |
| from typing import Any, Dict | |
| from flow_modules.Tachi67.PlanGeneratorFlowModule import PlanGeneratorAtomicFlow | |
| class NewPlanGenFlow(PlanGeneratorAtomicFlow): | |
| def __init__(self, **kwargs): | |
| super().__init__(**kwargs) | |
| self.hint_for_model = """ | |
| Make sure your response is in the following format: | |
| Response Format: | |
| { | |
| "new_plan": "A new plan, refined from previous plan, with given requirements", | |
| } | |
| """ |