mirror of
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test(test_custom_callback_input.py): add bedrock testing
n n
This commit is contained in:
Krrish Dholakia
parent
6a3ba74183
commit
b09ecb986e
4 changed files with 165 additions and 36 deletions
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@ -482,7 +482,7 @@ def completion(
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logging_obj.post_call(
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input=prompt,
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api_key="",
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original_response=response_body,
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original_response=json.dumps(response_body),
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additional_args={"complete_input_dict": data},
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)
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print_verbose(f"raw model_response: {response}")
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@ -683,9 +683,14 @@ def completion(
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logger_fn=logger_fn
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)
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# if "stream" in optional_params and optional_params["stream"] == True:
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# response = CustomStreamWrapper(model_response, model, custom_llm_provider="text-completion-openai", logging_obj=logging)
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# return response
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if optional_params.get("stream", False) or acompletion == True:
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## LOGGING
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logging.post_call(
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input=messages,
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api_key=api_key,
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original_response=model_response,
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additional_args={"headers": headers},
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)
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response = model_response
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elif (
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"replicate" in model or
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@ -730,8 +735,16 @@ def completion(
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)
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if "stream" in optional_params and optional_params["stream"] == True:
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# don't try to access stream object,
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response = CustomStreamWrapper(model_response, model, logging_obj=logging, custom_llm_provider="replicate")
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return response
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model_response = CustomStreamWrapper(model_response, model, logging_obj=logging, custom_llm_provider="replicate") # type: ignore
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if optional_params.get("stream", False) or acompletion == True:
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## LOGGING
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logging.post_call(
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input=messages,
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api_key=replicate_key,
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original_response=model_response,
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)
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response = model_response
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elif custom_llm_provider=="anthropic":
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@ -751,7 +764,7 @@ def completion(
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custom_prompt_dict
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or litellm.custom_prompt_dict
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)
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model_response = anthropic.completion(
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response = anthropic.completion(
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model=model,
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messages=messages,
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api_base=api_base,
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@ -767,9 +780,16 @@ def completion(
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)
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if "stream" in optional_params and optional_params["stream"] == True:
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# don't try to access stream object,
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response = CustomStreamWrapper(model_response, model, custom_llm_provider="anthropic", logging_obj=logging)
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return response
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response = model_response
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response = CustomStreamWrapper(response, model, custom_llm_provider="anthropic", logging_obj=logging)
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if optional_params.get("stream", False) or acompletion == True:
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## LOGGING
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logging.post_call(
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input=messages,
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api_key=api_key,
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original_response=response,
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)
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response = response
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elif custom_llm_provider == "nlp_cloud":
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nlp_cloud_key = (
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api_key or litellm.nlp_cloud_key or get_secret("NLP_CLOUD_API_KEY") or litellm.api_key
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@ -782,7 +802,7 @@ def completion(
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or "https://api.nlpcloud.io/v1/gpu/"
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)
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model_response = nlp_cloud.completion(
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response = nlp_cloud.completion(
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model=model,
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messages=messages,
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api_base=api_base,
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@ -798,9 +818,17 @@ def completion(
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if "stream" in optional_params and optional_params["stream"] == True:
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# don't try to access stream object,
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response = CustomStreamWrapper(model_response, model, custom_llm_provider="nlp_cloud", logging_obj=logging)
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return response
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response = model_response
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response = CustomStreamWrapper(response, model, custom_llm_provider="nlp_cloud", logging_obj=logging)
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if optional_params.get("stream", False) or acompletion == True:
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## LOGGING
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logging.post_call(
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input=messages,
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api_key=api_key,
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original_response=response,
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)
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response = response
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elif custom_llm_provider == "aleph_alpha":
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aleph_alpha_key = (
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api_key or litellm.aleph_alpha_key or get_secret("ALEPH_ALPHA_API_KEY") or get_secret("ALEPHALPHA_API_KEY") or litellm.api_key
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@ -1202,7 +1230,7 @@ def completion(
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custom_prompt_dict
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or litellm.custom_prompt_dict
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)
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model_response = bedrock.completion(
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response = bedrock.completion(
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model=model,
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messages=messages,
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custom_prompt_dict=litellm.custom_prompt_dict,
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@ -1220,16 +1248,24 @@ def completion(
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# don't try to access stream object,
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if "ai21" in model:
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response = CustomStreamWrapper(
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model_response, model, custom_llm_provider="bedrock", logging_obj=logging
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response, model, custom_llm_provider="bedrock", logging_obj=logging
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)
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else:
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response = CustomStreamWrapper(
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iter(model_response), model, custom_llm_provider="bedrock", logging_obj=logging
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iter(response), model, custom_llm_provider="bedrock", logging_obj=logging
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)
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return response
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if optional_params.get("stream", False):
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## LOGGING
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logging.post_call(
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input=messages,
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api_key=None,
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original_response=response,
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)
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## RESPONSE OBJECT
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response = model_response
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response = response
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elif custom_llm_provider == "vllm":
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model_response = vllm.completion(
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model=model,
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@ -53,6 +53,9 @@ class CompletionCustomHandler(CustomLogger): # https://docs.litellm.ai/docs/obse
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def log_post_api_call(self, kwargs, response_obj, start_time, end_time):
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try:
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print("IN POST CALL API")
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print(f"kwargs input: {kwargs['input']}")
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print(f"kwargs original response: {kwargs['original_response']}")
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## START TIME
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assert isinstance(start_time, datetime)
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## END TIME
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@ -67,8 +70,8 @@ class CompletionCustomHandler(CustomLogger): # https://docs.litellm.ai/docs/obse
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assert isinstance(kwargs['start_time'], Optional[datetime])
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assert isinstance(kwargs['stream'], bool)
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assert isinstance(kwargs['user'], Optional[str])
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assert isinstance(kwargs['input'], list) and isinstance(kwargs['input'][0], dict)
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assert isinstance(kwargs['api_key'], str)
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assert (isinstance(kwargs['input'], list) and isinstance(kwargs['input'][0], dict)) or isinstance(kwargs['input'], (dict, str))
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assert isinstance(kwargs['api_key'], Optional[str])
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assert isinstance(kwargs['original_response'], (str, litellm.CustomStreamWrapper)) or inspect.iscoroutine(kwargs['original_response']) or inspect.isasyncgen(kwargs['original_response'])
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assert isinstance(kwargs['additional_args'], Optional[dict])
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assert isinstance(kwargs['log_event_type'], str)
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@ -92,9 +95,9 @@ class CompletionCustomHandler(CustomLogger): # https://docs.litellm.ai/docs/obse
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assert isinstance(kwargs['start_time'], Optional[datetime])
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assert isinstance(kwargs['stream'], bool)
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assert isinstance(kwargs['user'], Optional[str])
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assert isinstance(kwargs['input'], list) and isinstance(kwargs['input'][0], dict)
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assert isinstance(kwargs['api_key'], str)
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assert inspect.isasyncgen(kwargs['original_response']) or inspect.iscoroutine(kwargs['original_response'])
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assert (isinstance(kwargs['input'], list) and isinstance(kwargs['input'][0], dict)) or isinstance(kwargs['input'], (dict, str))
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assert isinstance(kwargs['api_key'], Optional[str])
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assert isinstance(kwargs['original_response'], (str, litellm.CustomStreamWrapper)) or inspect.isasyncgen(kwargs['original_response']) or inspect.iscoroutine(kwargs['original_response'])
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assert isinstance(kwargs['additional_args'], Optional[dict])
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assert isinstance(kwargs['log_event_type'], str)
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except:
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@ -117,8 +120,8 @@ class CompletionCustomHandler(CustomLogger): # https://docs.litellm.ai/docs/obse
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assert isinstance(kwargs['start_time'], Optional[datetime])
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assert isinstance(kwargs['stream'], bool)
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assert isinstance(kwargs['user'], Optional[str])
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assert isinstance(kwargs['input'], list) and isinstance(kwargs['input'][0], dict)
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assert isinstance(kwargs['api_key'], str)
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assert (isinstance(kwargs['input'], list) and isinstance(kwargs['input'][0], dict)) or isinstance(kwargs['input'], (dict, str))
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assert isinstance(kwargs['api_key'], Optional[str])
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assert isinstance(kwargs['original_response'], (str, litellm.CustomStreamWrapper))
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assert isinstance(kwargs['additional_args'], Optional[dict])
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assert isinstance(kwargs['log_event_type'], str)
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@ -142,8 +145,8 @@ class CompletionCustomHandler(CustomLogger): # https://docs.litellm.ai/docs/obse
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assert isinstance(kwargs['start_time'], Optional[datetime])
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assert isinstance(kwargs['stream'], bool)
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assert isinstance(kwargs['user'], Optional[str])
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assert isinstance(kwargs['input'], list) and isinstance(kwargs['input'][0], dict)
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assert isinstance(kwargs['api_key'], str)
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assert (isinstance(kwargs['input'], list) and isinstance(kwargs['input'][0], dict)) or isinstance(kwargs['input'], (dict, str))
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assert isinstance(kwargs['api_key'], Optional[str])
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assert isinstance(kwargs['original_response'], (str, litellm.CustomStreamWrapper)) or kwargs["original_response"] == None
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assert isinstance(kwargs['additional_args'], Optional[dict])
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assert isinstance(kwargs['log_event_type'], str)
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@ -185,9 +188,9 @@ class CompletionCustomHandler(CustomLogger): # https://docs.litellm.ai/docs/obse
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assert isinstance(kwargs['start_time'], Optional[datetime])
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assert isinstance(kwargs['stream'], bool)
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assert isinstance(kwargs['user'], Optional[str])
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assert isinstance(kwargs['input'], list) and isinstance(kwargs['input'][0], dict)
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assert isinstance(kwargs['api_key'], str)
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assert isinstance(kwargs['original_response'], str) or inspect.isasyncgen(kwargs['original_response']) or inspect.iscoroutine(kwargs['original_response'])
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assert (isinstance(kwargs['input'], list) and isinstance(kwargs['input'][0], dict)) or isinstance(kwargs['input'], (dict, str))
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assert isinstance(kwargs['api_key'], Optional[str])
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assert isinstance(kwargs['original_response'], (str, litellm.CustomStreamWrapper)) or inspect.isasyncgen(kwargs['original_response']) or inspect.iscoroutine(kwargs['original_response'])
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assert isinstance(kwargs['additional_args'], Optional[dict])
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assert isinstance(kwargs['log_event_type'], str)
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except:
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@ -210,8 +213,8 @@ class CompletionCustomHandler(CustomLogger): # https://docs.litellm.ai/docs/obse
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assert isinstance(kwargs['start_time'], Optional[datetime])
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assert isinstance(kwargs['stream'], bool)
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assert isinstance(kwargs['user'], Optional[str])
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assert isinstance(kwargs['input'], list) and isinstance(kwargs['input'][0], dict)
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assert isinstance(kwargs['api_key'], str)
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assert (isinstance(kwargs['input'], list) and isinstance(kwargs['input'][0], dict)) or isinstance(kwargs['input'], (dict, str))
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assert isinstance(kwargs['api_key'], Optional[str])
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assert isinstance(kwargs['original_response'], (str, litellm.CustomStreamWrapper)) or inspect.isasyncgen(kwargs['original_response'])
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assert isinstance(kwargs['additional_args'], Optional[dict])
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assert isinstance(kwargs['log_event_type'], str)
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@ -343,7 +346,7 @@ def test_chat_azure_stream():
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# test_chat_azure_stream()
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## Test OpenAI + Async
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## Test Azure + Async
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@pytest.mark.asyncio
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async def test_async_chat_azure_stream():
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try:
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@ -383,4 +386,89 @@ async def test_async_chat_azure_stream():
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except Exception as e:
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pytest.fail(f"An exception occurred: {str(e)}")
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# asyncio.run(test_async_chat_azure_stream())
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# asyncio.run(test_async_chat_azure_stream())
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## Test Bedrock + sync
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def test_chat_bedrock_stream():
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try:
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customHandler = CompletionCustomHandler()
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litellm.callbacks = [customHandler]
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response = litellm.completion(model="bedrock/anthropic.claude-v1",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm sync bedrock"
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}])
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# test streaming
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response = litellm.completion(model="bedrock/anthropic.claude-v1",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm sync bedrock"
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}],
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stream=True)
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for chunk in response:
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continue
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# test failure callback
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try:
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response = litellm.completion(model="bedrock/anthropic.claude-v1",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm sync bedrock"
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}],
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aws_region_name="my-bad-region",
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stream=True)
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for chunk in response:
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continue
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except:
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pass
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time.sleep(1)
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print(f"customHandler.errors: {customHandler.errors}")
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assert len(customHandler.errors) == 0
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litellm.callbacks = []
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except Exception as e:
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pytest.fail(f"An exception occurred: {str(e)}")
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# test_chat_bedrock_stream()
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## Test Bedrock + Async
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@pytest.mark.asyncio
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async def test_async_chat_bedrock_stream():
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try:
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customHandler = CompletionCustomHandler()
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litellm.callbacks = [customHandler]
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response = await litellm.acompletion(model="bedrock/anthropic.claude-v1",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm async bedrock"
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}])
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# test streaming
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response = await litellm.acompletion(model="bedrock/anthropic.claude-v1",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm async bedrock"
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}],
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stream=True)
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print(f"response: {response}")
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async for chunk in response:
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print(f"chunk: {chunk}")
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continue
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## test failure callback
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try:
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response = await litellm.acompletion(model="bedrock/anthropic.claude-v1",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm async bedrock"
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}],
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aws_region_name="my-bad-key",
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stream=True)
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async for chunk in response:
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continue
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except:
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pass
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time.sleep(1)
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print(f"customHandler.errors: {customHandler.errors}")
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assert len(customHandler.errors) == 0
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litellm.callbacks = []
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except Exception as e:
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pytest.fail(f"An exception occurred: {str(e)}")
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# asyncio.run(test_async_chat_bedrock_stream())
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@ -815,6 +815,7 @@ class Logging:
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print_verbose(
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f"Logging Details LiteLLM-Success Call"
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)
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# print(f"original response in success handler: {self.model_call_details['original_response']}")
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try:
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print_verbose(f"success callbacks: {litellm.success_callback}")
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## BUILD COMPLETE STREAMED RESPONSE
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@ -1191,7 +1192,7 @@ class Logging:
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print_verbose=print_verbose,
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callback_func=callback
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)
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elif isinstance(callback, CustomLogger): # custom logger class
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elif isinstance(callback, CustomLogger) and self.model_call_details.get("litellm_params", {}).get("acompletion", False) == False: # custom logger class
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callback.log_failure_event(
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start_time=start_time,
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end_time=end_time,
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@ -5712,6 +5713,10 @@ class CustomStreamWrapper:
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processed_chunk = next(self)
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asyncio.create_task(self.logging_obj.async_success_handler(processed_chunk,))
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return processed_chunk
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except StopAsyncIteration:
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raise
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except StopIteration:
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raise StopAsyncIteration # Re-raise StopIteration
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except Exception as e:
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traceback_exception = traceback.format_exc()
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# Handle any exceptions that might occur during streaming
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