72 lines
3.0 KiB
Python
72 lines
3.0 KiB
Python
import importlib
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import os
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from typing import Any, Optional
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try:
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from langchain_together import ChatTogether
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except ImportError:
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raise ImportError(
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"Please install the langchain_together package by running `pip install langchain_together==0.1.3`."
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)
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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 TogetherLlm(BaseLlm):
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def __init__(self, config: Optional[BaseLlmConfig] = None):
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try:
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importlib.import_module("together")
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except ModuleNotFoundError:
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raise ModuleNotFoundError(
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"The required dependencies for Together are not installed."
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'Please install with `pip install --upgrade "embedchain[together]"`'
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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 "TOGETHER_API_KEY" not in os.environ:
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raise ValueError("Please set the TOGETHER_API_KEY environment variable or pass it in the config.")
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def get_llm_model_answer(self, prompt) -> tuple[str, Optional[dict[str, Any]]]:
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if self.config.system_prompt:
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raise ValueError("TogetherLlm does not support `system_prompt`")
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if self.config.token_usage:
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response, token_info = self._get_answer(prompt, self.config)
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model_name = "together/" + self.config.model
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if model_name not in self.config.model_pricing_map:
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raise ValueError(
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f"Model {model_name} not found in `model_prices_and_context_window.json`. \
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You can disable token usage by setting `token_usage` to False."
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)
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total_cost = (
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self.config.model_pricing_map[model_name]["input_cost_per_token"] * token_info["prompt_tokens"]
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) + self.config.model_pricing_map[model_name]["output_cost_per_token"] * token_info["completion_tokens"]
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response_token_info = {
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"prompt_tokens": token_info["prompt_tokens"],
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"completion_tokens": token_info["completion_tokens"],
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"total_tokens": token_info["prompt_tokens"] + token_info["completion_tokens"],
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"total_cost": round(total_cost, 10),
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"cost_currency": "USD",
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}
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return response, response_token_info
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return self._get_answer(prompt, 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.environ["TOGETHER_API_KEY"]
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kwargs = {
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"model_name": config.model or "mixtral-8x7b-32768",
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"temperature": config.temperature,
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"max_tokens": config.max_tokens,
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"together_api_key": api_key,
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}
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chat = ChatTogether(**kwargs)
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chat_response = chat.invoke(prompt)
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if config.token_usage:
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return chat_response.content, chat_response.response_metadata["token_usage"]
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return chat_response.content
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