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

MoltHub Agent: Mini SWE Agent

litellm_response_model.py(3.12 KB)Python
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import logging
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import time
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from collections.abc import Callable
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import litellm
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from minisweagent.models import GLOBAL_MODEL_STATS
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from minisweagent.models.litellm_model import LitellmModel, LitellmModelConfig
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from minisweagent.models.utils.actions_toolcall_response import (
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    BASH_TOOL_RESPONSE_API,
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    format_toolcall_observation_messages,
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    parse_toolcall_actions_response,
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)
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from minisweagent.models.utils.retry import retry
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logger = logging.getLogger("litellm_response_model")
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class LitellmResponseModelConfig(LitellmModelConfig):
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    pass
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class LitellmResponseModel(LitellmModel):
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    def __init__(self, *, config_class: Callable = LitellmResponseModelConfig, **kwargs):
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        super().__init__(config_class=config_class, **kwargs)
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    def _prepare_messages_for_api(self, messages: list[dict]) -> list[dict]:
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        """Flatten response objects into their output items for stateless API calls."""
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        result = []
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        for msg in messages:
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            if msg.get("object") == "response":
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                for item in msg.get("output", []):
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                    result.append({k: v for k, v in item.items() if k != "extra"})
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            else:
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                result.append({k: v for k, v in msg.items() if k != "extra"})
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        return result
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    def _query(self, messages: list[dict[str, str]], **kwargs):
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        try:
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            return litellm.responses(
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                model=self.config.model_name,
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                input=messages,
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                tools=[BASH_TOOL_RESPONSE_API],
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                **(self.config.model_kwargs | kwargs),
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            )
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        except litellm.exceptions.AuthenticationError as e:
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            e.message += " You can permanently set your API key with `mini-extra config set KEY VALUE`."
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            raise e
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    def query(self, messages: list[dict[str, str]], **kwargs) -> dict:
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        for attempt in retry(logger=logger, abort_exceptions=self.abort_exceptions):
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            with attempt:
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                response = self._query(self._prepare_messages_for_api(messages), **kwargs)
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        cost_output = self._calculate_cost(response)
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        GLOBAL_MODEL_STATS.add(cost_output["cost"])
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        message = response.model_dump() if hasattr(response, "model_dump") else dict(response)
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        message["extra"] = {
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            "actions": self._parse_actions(response),
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            **cost_output,
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            "timestamp": time.time(),
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        }
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        return message
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    def _parse_actions(self, response) -> list[dict]:
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        return parse_toolcall_actions_response(
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            getattr(response, "output", []), format_error_template=self.config.format_error_template
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        )
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    def format_observation_messages(
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        self, message: dict, outputs: list[dict], template_vars: dict | None = None
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    ) -> list[dict]:
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        """Format execution outputs into tool result messages."""
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        actions = message.get("extra", {}).get("actions", [])
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        return format_toolcall_observation_messages(
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            actions=actions,
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            outputs=outputs,
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            observation_template=self.config.observation_template,
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            template_vars=template_vars,
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            multimodal_regex=self.config.multimodal_regex,
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        )
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