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test(test_async_fn.py): debugging circle ci issue

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Krrish Dholakia 2023-10-30 19:50:35 -07:00
parent a30fca4f60
commit 1cd43419b8
1 changed files with 69 additions and 69 deletions
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138
litellm/tests/test_add_function_to_prompt.py
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@ -1,75 +1,75 @@
#### What this tests #### # #### What this tests ####
# Allow the user to map the function to the prompt, if the model doesn't support function calling # # Allow the user to map the function to the prompt, if the model doesn't support function calling
import sys, os, pytest # import sys, os, pytest
import traceback # import traceback
sys.path.insert( # sys.path.insert(
0, os.path.abspath("../..") # 0, os.path.abspath("../..")
) # Adds the parent directory to the system path # ) # Adds the parent directory to the system path
import litellm # import litellm
## case 1: set_function_to_prompt not set # ## case 1: set_function_to_prompt not set
def test_function_call_non_openai_model(): # def test_function_call_non_openai_model():
try: # try:
model = "claude-instant-1" # model = "claude-instant-1"
messages=[{"role": "user", "content": "what's the weather in sf?"}] # messages=[{"role": "user", "content": "what's the weather in sf?"}]
functions = [ # functions = [
{ # {
"name": "get_current_weather", # "name": "get_current_weather",
"description": "Get the current weather in a given location", # "description": "Get the current weather in a given location",
"parameters": { # "parameters": {
"type": "object", # "type": "object",
"properties": { # "properties": {
"location": { # "location": {
"type": "string", # "type": "string",
"description": "The city and state, e.g. San Francisco, CA" # "description": "The city and state, e.g. San Francisco, CA"
}, # },
"unit": { # "unit": {
"type": "string", # "type": "string",
"enum": ["celsius", "fahrenheit"] # "enum": ["celsius", "fahrenheit"]
} # }
}, # },
"required": ["location"] # "required": ["location"]
} # }
} # }
] # ]
response = litellm.completion(model=model, messages=messages, functions=functions) # response = litellm.completion(model=model, messages=messages, functions=functions)
pytest.fail(f'An error occurred') # pytest.fail(f'An error occurred')
except Exception as e: # except Exception as e:
pass # pass
test_function_call_non_openai_model() # test_function_call_non_openai_model()
## case 2: add_function_to_prompt set # ## case 2: add_function_to_prompt set
def test_function_call_non_openai_model_litellm_mod_set(): # def test_function_call_non_openai_model_litellm_mod_set():
litellm.add_function_to_prompt = True # litellm.add_function_to_prompt = True
try: # try:
model = "claude-instant-1" # model = "claude-instant-1"
messages=[{"role": "user", "content": "what's the weather in sf?"}] # messages=[{"role": "user", "content": "what's the weather in sf?"}]
functions = [ # functions = [
{ # {
"name": "get_current_weather", # "name": "get_current_weather",
"description": "Get the current weather in a given location", # "description": "Get the current weather in a given location",
"parameters": { # "parameters": {
"type": "object", # "type": "object",
"properties": { # "properties": {
"location": { # "location": {
"type": "string", # "type": "string",
"description": "The city and state, e.g. San Francisco, CA" # "description": "The city and state, e.g. San Francisco, CA"
}, # },
"unit": { # "unit": {
"type": "string", # "type": "string",
"enum": ["celsius", "fahrenheit"] # "enum": ["celsius", "fahrenheit"]
} # }
}, # },
"required": ["location"] # "required": ["location"]
} # }
} # }
] # ]
response = litellm.completion(model=model, messages=messages, functions=functions) # response = litellm.completion(model=model, messages=messages, functions=functions)
print(f'response: {response}') # print(f'response: {response}')
except Exception as e: # except Exception as e:
pytest.fail(f'An error occurred {e}') # pytest.fail(f'An error occurred {e}')
# test_function_call_non_openai_model_litellm_mod_set() # # test_function_call_non_openai_model_litellm_mod_set()