44 lines
1.5 KiB
Python
44 lines
1.5 KiB
Python
import importlib
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import os
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from typing import Optional
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from langchain_community.llms.cohere import Cohere
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from embedchain.config import BaseLlmConfig
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from embedchain.helpers.json_serializable import register_deserializable
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from embedchain.llm.base import BaseLlm
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@register_deserializable
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class CohereLlm(BaseLlm):
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def __init__(self, config: Optional[BaseLlmConfig] = None):
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try:
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importlib.import_module("cohere")
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except ModuleNotFoundError:
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raise ModuleNotFoundError(
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"The required dependencies for Cohere are not installed."
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'Please install with `pip install --upgrade "embedchain[cohere]"`'
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) from None
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super().__init__(config=config)
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if not self.config.api_key and "COHERE_API_KEY" not in os.environ:
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raise ValueError("Please set the COHERE_API_KEY environment variable or pass it in the config.")
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def get_llm_model_answer(self, prompt):
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if self.config.system_prompt:
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raise ValueError("CohereLlm does not support `system_prompt`")
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return CohereLlm._get_answer(prompt=prompt, config=self.config)
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@staticmethod
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def _get_answer(prompt: str, config: BaseLlmConfig) -> str:
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api_key = config.api_key or os.getenv("COHERE_API_KEY")
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llm = Cohere(
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cohere_api_key=api_key,
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model=config.model,
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max_tokens=config.max_tokens,
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temperature=config.temperature,
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p=config.top_p,
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)
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return llm.invoke(prompt)
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