# #### What this tests ####
# #  Allow the user to map the function to the prompt, if the model doesn't support function calling

# import sys, os, pytest
# import traceback

# sys.path.insert(
#     0, os.path.abspath("../..")
# )  # Adds the parent directory to the system path
# import litellm

# ## case 1: set_function_to_prompt not set 
# def test_function_call_non_openai_model():
#     try: 
#         model = "claude-instant-1"
#         messages=[{"role": "user", "content": "what's the weather in sf?"}]
#         functions = [
#             {
#             "name": "get_current_weather",
#             "description": "Get the current weather in a given location",
#             "parameters": {
#                 "type": "object",
#                 "properties": {
#                 "location": {
#                     "type": "string",
#                     "description": "The city and state, e.g. San Francisco, CA"
#                 },
#                 "unit": {
#                     "type": "string",
#                     "enum": ["celsius", "fahrenheit"]
#                 }
#                 },
#                 "required": ["location"]
#             }
#             }
#         ]
#         response = litellm.completion(model=model, messages=messages, functions=functions)
#         pytest.fail(f'An error occurred')
#     except Exception as e: 
#         pass

# test_function_call_non_openai_model()

# ## case 2: add_function_to_prompt set 
# def test_function_call_non_openai_model_litellm_mod_set():
#     litellm.add_function_to_prompt = True
#     try: 
#         model = "claude-instant-1"
#         messages=[{"role": "user", "content": "what's the weather in sf?"}]
#         functions = [
#             {
#             "name": "get_current_weather",
#             "description": "Get the current weather in a given location",
#             "parameters": {
#                 "type": "object",
#                 "properties": {
#                 "location": {
#                     "type": "string",
#                     "description": "The city and state, e.g. San Francisco, CA"
#                 },
#                 "unit": {
#                     "type": "string",
#                     "enum": ["celsius", "fahrenheit"]
#                 }
#                 },
#                 "required": ["location"]
#             }
#             }
#         ]
#         response = litellm.completion(model=model, messages=messages, functions=functions)
#         print(f'response: {response}')
#     except Exception as e: 
#         pytest.fail(f'An error occurred {e}')

# # test_function_call_non_openai_model_litellm_mod_set()