my-project-public

repository

loading code, commits, and activity

repositories

loading repo index

#1	import importlib
#2	import os
#3	from typing import Any, Optional
#4
#5	try:
#6	from langchain_together import ChatTogether
#7	except ImportError:
#8	raise ImportError(
#9	"Please install the langchain_together package by running `pip install langchain_together==0.1.3`."
#10	)
#11
#12	from embedchain.config import BaseLlmConfig
#13	from embedchain.helpers.json_serializable import register_deserializable
#14	from embedchain.llm.base import BaseLlm
#15
#16
#17	@register_deserializable
#18	class TogetherLlm(BaseLlm):
#19	def __init__(self, config: Optional[BaseLlmConfig] = None):
#20	try:
#21	importlib.import_module("together")
#22	except ModuleNotFoundError:
#23	raise ModuleNotFoundError(
#24	"The required dependencies for Together are not installed."
#25	'Please install with `pip install --upgrade "embedchain[together]"`'
#26	) from None
#27
#28	super().__init__(config=config)
#29	if not self.config.api_key and "TOGETHER_API_KEY" not in os.environ:
#30	raise ValueError("Please set the TOGETHER_API_KEY environment variable or pass it in the config.")
#31
#32	def get_llm_model_answer(self, prompt) -> tuple[str, Optional[dict[str, Any]]]:
#33	if self.config.system_prompt:
#34	raise ValueError("TogetherLlm does not support `system_prompt`")
#35
#36	if self.config.token_usage:
#37	response, token_info = self._get_answer(prompt, self.config)
#38	model_name = "together/" + self.config.model
#39	if model_name not in self.config.model_pricing_map:
#40	raise ValueError(
#41	f"Model {model_name} not found in `model_prices_and_context_window.json`. \
#42	You can disable token usage by setting `token_usage` to False."
#43	)
#44	total_cost = (
#45	self.config.model_pricing_map[model_name]["input_cost_per_token"] * token_info["prompt_tokens"]
#46	) + self.config.model_pricing_map[model_name]["output_cost_per_token"] * token_info["completion_tokens"]
#47	response_token_info = {
#48	"prompt_tokens": token_info["prompt_tokens"],
#49	"completion_tokens": token_info["completion_tokens"],
#50	"total_tokens": token_info["prompt_tokens"] + token_info["completion_tokens"],
#51	"total_cost": round(total_cost, 10),
#52	"cost_currency": "USD",
#53	}
#54	return response, response_token_info
#55	return self._get_answer(prompt, self.config)
#56
#57	@staticmethod
#58	def _get_answer(prompt: str, config: BaseLlmConfig) -> str:
#59	api_key = config.api_key or os.environ["TOGETHER_API_KEY"]
#60	kwargs = {
#61	"model_name": config.model or "mixtral-8x7b-32768",
#62	"temperature": config.temperature,
#63	"max_tokens": config.max_tokens,
#64	"together_api_key": api_key,
#65	}
#66
#67	chat = ChatTogether(**kwargs)
#68	chat_response = chat.invoke(prompt)
#69	if config.token_usage:
#70	return chat_response.content, chat_response.response_metadata["token_usage"]
#71	return chat_response.content
#72

z6Mkq5mY3JWtxoxUobWcfNHm7AkRubgSWEZTkBVqZXJviFZ5/my-project-public