examples/aflow/mbpp_new_full/optimized/round_3/graph.py

import evoagentx.workflow.operators as operator
import examples.aflow.mbpp_new_full.optimized.round_3.prompt as prompt_custom
from evoagentx.models.model_configs import LLMConfig
from evoagentx.benchmark.benchmark import Benchmark
from evoagentx.models.model_utils import create_llm_instance

class Workflow:

    def __init__(
        self,
        name: str,
        llm_config: LLMConfig,
        benchmark: Benchmark
    ):
        self.name = name
        self.llm = create_llm_instance(llm_config)
        self.benchmark = benchmark 
        self.custom = operator.Custom(self.llm)
        self.custom_code_generate = operator.CustomCodeGenerate(self.llm)
        self.test = operator.Test(self.llm)  
        self.sc_ensemble = operator.ScEnsemble(self.llm)

    async def __call__(self, problem: str, entry_point: str):
        """
        Implementation of the workflow
        """
        solution = await self.custom_code_generate(problem=problem, entry_point=entry_point, instruction=prompt_custom.GENERATE_PYTHON_CODE_PROMPT)
        test_result = await self.test(problem=problem, solution=solution['response'], entry_point=entry_point, benchmark=self.benchmark)  
        if not test_result['result']:
            alternate_solutions = await self.custom(input=problem, instruction=prompt_custom.ALTERNATE_SOLUTIONS_PROMPT)
            selected_solution = await self.sc_ensemble(solutions=alternate_solutions['response'], problem=problem)  
            revision_response = await self.custom(input=problem+f" Current Solution: {selected_solution['response']}", instruction=prompt_custom.REVISE_PROMPT)
            # Retest the revised solution to ensure correctness
            test_result_revised = await self.test(problem=problem, solution=revision_response['response'], entry_point=entry_point, benchmark=self.benchmark)
            if test_result_revised['result']:
                return revision_response['response']  # Return the revised and validated solution
            else:
                return "Revised solution still failed the tests."  # Inform about failure in testing of the revised solution
        return solution['response']