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(test) proxy: access model_info and request_obj

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ishaan-jaff 2023-12-08 14:26:16 -08:00
parent 14d57ec7de
commit 73984504e9
2 changed files with 22 additions and 2 deletions
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18
litellm/tests/test_proxy_custom_logger.py
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@ -70,11 +70,19 @@ def test_chat_completion(client):
response = client.post("/chat/completions", json=test_data, headers=headers)
print("made request", response.status_code, response.text)
assert my_custom_logger.async_success == True # checks if the status of async_success is True, only the async_log_success_event can set this to true
assert my_custom_logger.async_success == True # checks if the status of async_success is True, only the async_log_success_event can set this to true
assert my_custom_logger.async_completion_kwargs["model"] == "chatgpt-v-2" # checks if kwargs passed to async_log_success_event are correct
print("\n\n Custom Logger Async Completion args", my_custom_logger.async_completion_kwargs)
litellm_params = my_custom_logger.async_completion_kwargs.get("litellm_params")
config_model_info = litellm_params.get("model_info")
proxy_server_request_object = litellm_params.get("proxy_server_request")
assert config_model_info == {'mode': 'chat', 'input_cost_per_token': 0.0002}
assert proxy_server_request_object == {'url': 'http://testserver/chat/completions', 'method': 'POST', 'headers': {'host': 'testserver', 'accept': '*/*', 'accept-encoding': 'gzip, deflate', 'connection': 'keep-alive', 'user-agent': 'testclient', 'authorization': 'Bearer None', 'content-length': '105', 'content-type': 'application/json'}, 'body': {'model': 'Azure OpenAI GPT-4 Canada', 'messages': [{'role': 'user', 'content': 'hi'}], 'max_tokens': 10}}
result = response.json()
print(f"Received response: {result}")
print("\nPassed /chat/completions with Custom Logger!")
except Exception as e:
pytest.fail("LiteLLM Proxy test failed. Exception", e)
@ -82,7 +90,7 @@ def test_chat_completion(client):
def test_embedding(client):
try:
# Your test data
# Your test data
print("initialized proxy")
# import the initialized custom logger
print(litellm.callbacks)
@ -100,6 +108,12 @@ def test_embedding(client):
assert my_custom_logger.async_success_embedding == True # checks if the status of async_success is True, only the async_log_success_event can set this to true
assert my_custom_logger.async_embedding_kwargs["model"] == "azure-embedding-model" # checks if kwargs passed to async_log_success_event are correct
kwargs = my_custom_logger.async_embedding_kwargs
litellm_params = kwargs.get("litellm_params")
proxy_server_request = litellm_params.get("proxy_server_request")
model_info = litellm_params.get("model_info")
assert proxy_server_request == {'url': 'http://testserver/embeddings', 'method': 'POST', 'headers': {'host': 'testserver', 'accept': '*/*', 'accept-encoding': 'gzip, deflate', 'connection': 'keep-alive', 'user-agent': 'testclient', 'authorization': 'Bearer None', 'content-length': '54', 'content-type': 'application/json'}, 'body': {'model': 'azure-embedding-model', 'input': ['hello']}}
assert model_info == {'input_cost_per_token': 0.002, 'mode': 'embedding'}
result = response.json()
print(f"Received response: {result}")
except Exception as e: