Source code for langchain.llms.fake

from typing import Any, List, Mapping, Optional

from langchain.callbacks.manager import (
    AsyncCallbackManagerForLLMRun,
    CallbackManagerForLLMRun,
)
from langchain.llms.base import LLM


class FakeListLLM(LLM):
    """Fake LLM for testing purposes."""

    responses: List
    i: int = 0

    @property
    def _llm_type(self) -> str:
        """Return type of llm."""
        return "fake-list"

    def _call(
        self,
        prompt: str,
        stop: Optional[List[str]] = None,
        run_manager: Optional[CallbackManagerForLLMRun] = None,
        **kwargs: Any,
    ) -> str:
        """Return next response"""
        response = self.responses[self.i]
        if self.i < len(self.responses) - 1:
            self.i += 1
        else:
            self.i = 0
        return response

    async def _acall(
        self,
        prompt: str,
        stop: Optional[List[str]] = None,
        run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
        **kwargs: Any,
    ) -> str:
        """Return next response"""
        response = self.responses[self.i]
        if self.i < len(self.responses) - 1:
            self.i += 1
        else:
            self.i = 0
        return response

    @property
    def _identifying_params(self) -> Mapping[str, Any]:
        return {"responses": self.responses}