36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
import logging
|
|
import os
|
|
from typing import Optional
|
|
|
|
from embedchain.config import BaseLlmConfig
|
|
from embedchain.helpers.json_serializable import register_deserializable
|
|
from embedchain.llm.base import BaseLlm
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
@register_deserializable
|
|
class AnthropicLlm(BaseLlm):
|
|
def __init__(self, config: Optional[BaseLlmConfig] = None):
|
|
if "ANTHROPIC_API_KEY" not in os.environ:
|
|
raise ValueError("Please set the ANTHROPIC_API_KEY environment variable.")
|
|
super().__init__(config=config)
|
|
|
|
def get_llm_model_answer(self, prompt):
|
|
return AnthropicLlm._get_answer(prompt=prompt, config=self.config)
|
|
|
|
@staticmethod
|
|
def _get_answer(prompt: str, config: BaseLlmConfig) -> str:
|
|
from langchain_community.chat_models import ChatAnthropic
|
|
|
|
chat = ChatAnthropic(
|
|
anthropic_api_key=os.environ["ANTHROPIC_API_KEY"], temperature=config.temperature, model=config.model
|
|
)
|
|
|
|
if config.max_tokens and config.max_tokens != 1000:
|
|
logger.warning("Config option `max_tokens` is not supported by this model.")
|
|
|
|
messages = BaseLlm._get_messages(prompt, system_prompt=config.system_prompt)
|
|
|
|
return chat(messages).content
|