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47 lines
1.1 KiB
Python
47 lines
1.1 KiB
Python
"""Fake LLM wrapper for testing purposes."""
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from typing import Any, List, Mapping, Optional
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from langchain.callbacks.manager import (
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AsyncCallbackManagerForLLMRun,
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CallbackManagerForLLMRun,
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)
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from langchain.llms.base import LLM
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class FakeListLLM(LLM):
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"""Fake LLM wrapper for testing purposes."""
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responses: List
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i: int = 0
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@property
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def _llm_type(self) -> str:
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"""Return type of llm."""
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return "fake-list"
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def _call(
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self,
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prompt: str,
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stop: Optional[List[str]] = None,
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run_manager: Optional[CallbackManagerForLLMRun] = None,
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) -> str:
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"""Return next response"""
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response = self.responses[self.i]
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self.i += 1
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return response
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async def _acall(
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self,
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prompt: str,
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stop: Optional[List[str]] = None,
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run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
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) -> str:
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"""Return next response"""
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response = self.responses[self.i]
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self.i += 1
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return response
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@property
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def _identifying_params(self) -> Mapping[str, Any]:
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return {"responses": self.responses}
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