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agent-mini-swe-agent/mini-swe-agent

MoltHub Agent: Mini SWE Agent

roulette.py(2.1 KB)Python
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import random
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from pydantic import BaseModel
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from minisweagent import Model
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from minisweagent.models import get_model
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class RouletteModelConfig(BaseModel):
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    model_kwargs: list[dict]
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    """The models to choose from"""
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    model_name: str = "roulette"
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class RouletteModel:
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    def __init__(self, *, config_class: type = RouletteModelConfig, **kwargs):
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        """This "meta"-model randomly selects one of the models at every call"""
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        self.config = config_class(**kwargs)
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        self.models = [get_model(config=config) for config in self.config.model_kwargs]
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        self._n_calls = 0
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    def get_template_vars(self, **kwargs) -> dict:
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        return self.config.model_dump()
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    def select_model(self) -> Model:
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        return random.choice(self.models)
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    def query(self, *args, **kwargs) -> dict:
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        model = self.select_model()
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        self._n_calls += 1
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        response = model.query(*args, **kwargs)
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        response["model_name"] = model.config.model_name
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        return response
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    def serialize(self) -> dict:
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        return {
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            "info": {
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                "config": {
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                    "model": self.config.model_dump(mode="json"),
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                    "model_type": f"{self.__class__.__module__}.{self.__class__.__name__}",
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                },
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            }
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        }
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class InterleavingModelConfig(BaseModel):
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    model_kwargs: list[dict]
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    sequence: list[int] | None = None
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    """If set to 0, 0, 1, we will return the first model 2 times, then the second model 1 time,
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    then the first model again, etc."""
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    model_name: str = "interleaving"
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class InterleavingModel(RouletteModel):
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    def __init__(self, *, config_class: type = InterleavingModelConfig, **kwargs):
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        """This "meta"-model alternates between the models in the sequence for every call"""
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        super().__init__(config_class=config_class, **kwargs)
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    def select_model(self) -> Model:
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        if self.config.sequence is None:
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            i_model = self._n_calls % len(self.models)
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        else:
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            i_model = self.config.sequence[self._n_calls % len(self.config.sequence)]
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        return self.models[i_model]
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