38 lines
1.4 KiB
Python
38 lines
1.4 KiB
Python
import logging
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import os
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from typing import Optional
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try:
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from langchain_anthropic import ChatAnthropic
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except ImportError:
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raise ImportError("Please install the langchain-anthropic package by running `pip install langchain-anthropic`.")
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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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logger = logging.getLogger(__name__)
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@register_deserializable
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class AnthropicLlm(BaseLlm):
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def __init__(self, config: Optional[BaseLlmConfig] = None):
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super().__init__(config=config)
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if not self.config.api_key and "ANTHROPIC_API_KEY" not in os.environ:
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raise ValueError("Please set the ANTHROPIC_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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return AnthropicLlm._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("ANTHROPIC_API_KEY")
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chat = ChatAnthropic(anthropic_api_key=api_key, temperature=config.temperature, model_name=config.model)
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if config.max_tokens and config.max_tokens != 1000:
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logger.warning("Config option `max_tokens` is not supported by this model.")
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messages = BaseLlm._get_messages(prompt, system_prompt=config.system_prompt)
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return chat(messages).content
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