# import os
# import sys, os
# import traceback
# from dotenv import load_dotenv

# load_dotenv()
# import os, io

# sys.path.insert(
#     0, os.path.abspath("../..")
# )  # Adds the parent directory to the system path
# import pytest
# import litellm
# from litellm import embedding, completion, text_completion, completion_cost

# from langchain.chat_models import ChatLiteLLM
# from langchain.prompts.chat import (
#     ChatPromptTemplate,
#     SystemMessagePromptTemplate,
#     AIMessagePromptTemplate,
#     HumanMessagePromptTemplate,
# )
# from langchain.schema import AIMessage, HumanMessage, SystemMessage

# def test_chat_gpt():
#     try:
#         chat = ChatLiteLLM(model="gpt-3.5-turbo", max_tokens=10)
#         messages = [
#             HumanMessage(
#                 content="what model are you"
#             )
#         ]
#         resp = chat(messages)

#         print(resp)
#     except Exception as e:
#         pytest.fail(f"Error occurred: {e}")

# # test_chat_gpt()


# def test_claude():
#     try:
#         chat = ChatLiteLLM(model="claude-2", max_tokens=10)
#         messages = [
#             HumanMessage(
#                 content="what model are you"
#             )
#         ]
#         resp = chat(messages)

#         print(resp)
#     except Exception as e:
#         pytest.fail(f"Error occurred: {e}")

# # test_claude()


# # def test_openai_with_params():
# #     try:
# #         api_key = os.environ["OPENAI_API_KEY"]
# #         os.environ.pop("OPENAI_API_KEY")
# #         print("testing openai with params")
# #         llm = ChatLiteLLM(
# #             model="gpt-3.5-turbo",
# #             openai_api_key=api_key,
# #             # Prefer using None which is the default value, endpoint could be empty string
# #             openai_api_base= None,
# #             max_tokens=20,
# #             temperature=0.5,
# #             request_timeout=10,
# #             model_kwargs={
# #                 "frequency_penalty": 0,
# #                 "presence_penalty": 0,
# #             },
# #             verbose=True,
# #             max_retries=0,
# #         )
# #         messages = [
# #             HumanMessage(
# #                 content="what model are you"
# #             )
# #         ]
# #         resp = llm(messages)

# #         print(resp)
# #     except Exception as e:
# #         pytest.fail(f"Error occurred: {e}")

# # test_openai_with_params()
