mirror of
https://github.com/BerriAI/litellm.git
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624 lines
29 KiB
Python
624 lines
29 KiB
Python
### What this tests ####
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## This test asserts the type of data passed into each method of the custom callback handler
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import sys, os, time, inspect, asyncio, traceback
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from datetime import datetime
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import pytest
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sys.path.insert(0, os.path.abspath('../..'))
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from typing import Optional, Literal, List, Union
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from litellm import completion, embedding, Cache
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import litellm
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from litellm.integrations.custom_logger import CustomLogger
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# Test Scenarios (test across completion, streaming, embedding)
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## 1: Pre-API-Call
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## 2: Post-API-Call
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## 3: On LiteLLM Call success
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## 4: On LiteLLM Call failure
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## 5. Caching
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# Test models
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## 1. OpenAI
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## 2. Azure OpenAI
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## 3. Non-OpenAI/Azure - e.g. Bedrock
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# Test interfaces
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## 1. litellm.completion() + litellm.embeddings()
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## refer to test_custom_callback_input_router.py for the router + proxy tests
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class CompletionCustomHandler(CustomLogger): # https://docs.litellm.ai/docs/observability/custom_callback#callback-class
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"""
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The set of expected inputs to a custom handler for a
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"""
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# Class variables or attributes
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def __init__(self):
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self.errors = []
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self.states: Optional[List[Literal["sync_pre_api_call", "async_pre_api_call", "post_api_call", "sync_stream", "async_stream", "sync_success", "async_success", "sync_failure", "async_failure"]]] = []
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def log_pre_api_call(self, model, messages, kwargs):
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try:
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self.states.append("sync_pre_api_call")
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## MODEL
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assert isinstance(model, str)
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## MESSAGES
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assert isinstance(messages, list)
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## KWARGS
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assert isinstance(kwargs['model'], str)
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assert isinstance(kwargs['messages'], list)
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assert isinstance(kwargs['optional_params'], dict)
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assert isinstance(kwargs['litellm_params'], dict)
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assert isinstance(kwargs['start_time'], (datetime, type(None)))
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assert isinstance(kwargs['stream'], bool)
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assert isinstance(kwargs['user'], (str, type(None)))
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except Exception as e:
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print(f"Assertion Error: {traceback.format_exc()}")
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self.errors.append(traceback.format_exc())
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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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self.states.append("post_api_call")
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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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assert end_time == None
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## RESPONSE OBJECT
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assert response_obj == None
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## KWARGS
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assert isinstance(kwargs['model'], str)
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assert isinstance(kwargs['messages'], list)
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assert isinstance(kwargs['optional_params'], dict)
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assert isinstance(kwargs['litellm_params'], dict)
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assert isinstance(kwargs['start_time'], (datetime, type(None)))
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assert isinstance(kwargs['stream'], bool)
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assert isinstance(kwargs['user'], (str, type(None)))
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assert isinstance(kwargs['input'], (list, dict, str))
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assert isinstance(kwargs['api_key'], (str, type(None)))
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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'], (dict, type(None)))
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assert isinstance(kwargs['log_event_type'], str)
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except:
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print(f"Assertion Error: {traceback.format_exc()}")
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self.errors.append(traceback.format_exc())
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async def async_log_stream_event(self, kwargs, response_obj, start_time, end_time):
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try:
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self.states.append("async_stream")
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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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assert isinstance(end_time, datetime)
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## RESPONSE OBJECT
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assert isinstance(response_obj, litellm.ModelResponse)
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## KWARGS
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assert isinstance(kwargs['model'], str)
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assert isinstance(kwargs['messages'], list) and isinstance(kwargs['messages'][0], dict)
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assert isinstance(kwargs['optional_params'], dict)
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assert isinstance(kwargs['litellm_params'], dict)
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assert isinstance(kwargs['start_time'], (datetime, type(None)))
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assert isinstance(kwargs['stream'], bool)
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assert isinstance(kwargs['user'], (str, type(None)))
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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'], (str, type(None)))
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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'], (dict, type(None)))
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assert isinstance(kwargs['log_event_type'], str)
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except:
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print(f"Assertion Error: {traceback.format_exc()}")
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self.errors.append(traceback.format_exc())
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def log_success_event(self, kwargs, response_obj, start_time, end_time):
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try:
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self.states.append("sync_success")
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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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assert isinstance(end_time, datetime)
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## RESPONSE OBJECT
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assert isinstance(response_obj, litellm.ModelResponse)
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## KWARGS
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assert isinstance(kwargs['model'], str)
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assert isinstance(kwargs['messages'], list) and isinstance(kwargs['messages'][0], dict)
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assert isinstance(kwargs['optional_params'], dict)
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assert isinstance(kwargs['litellm_params'], dict)
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assert isinstance(kwargs['start_time'], (datetime, type(None)))
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assert isinstance(kwargs['stream'], bool)
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assert isinstance(kwargs['user'], (str, type(None)))
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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'], (str, type(None)))
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assert isinstance(kwargs['original_response'], (str, litellm.CustomStreamWrapper))
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assert isinstance(kwargs['additional_args'], (dict, type(None)))
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assert isinstance(kwargs['log_event_type'], str)
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except:
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print(f"Assertion Error: {traceback.format_exc()}")
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self.errors.append(traceback.format_exc())
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def log_failure_event(self, kwargs, response_obj, start_time, end_time):
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try:
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self.states.append("sync_failure")
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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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assert isinstance(end_time, datetime)
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## RESPONSE OBJECT
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assert response_obj == None
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## KWARGS
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assert isinstance(kwargs['model'], str)
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assert isinstance(kwargs['messages'], list) and isinstance(kwargs['messages'][0], dict)
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assert isinstance(kwargs['optional_params'], dict)
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assert isinstance(kwargs['litellm_params'], dict)
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assert isinstance(kwargs['start_time'], (datetime, type(None)))
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assert isinstance(kwargs['stream'], bool)
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assert isinstance(kwargs['user'], (str, type(None)))
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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'], (str, type(None)))
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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'], (dict, type(None)))
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assert isinstance(kwargs['log_event_type'], str)
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except:
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print(f"Assertion Error: {traceback.format_exc()}")
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self.errors.append(traceback.format_exc())
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async def async_log_pre_api_call(self, model, messages, kwargs):
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try:
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self.states.append("async_pre_api_call")
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## MODEL
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assert isinstance(model, str)
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## MESSAGES
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assert isinstance(messages, list) and isinstance(messages[0], dict)
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## KWARGS
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assert isinstance(kwargs['model'], str)
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assert isinstance(kwargs['messages'], list) and isinstance(kwargs['messages'][0], dict)
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assert isinstance(kwargs['optional_params'], dict)
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assert isinstance(kwargs['litellm_params'], dict)
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assert isinstance(kwargs['start_time'], (datetime, type(None)))
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assert isinstance(kwargs['stream'], bool)
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assert isinstance(kwargs['user'], (str, type(None)))
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except Exception as e:
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print(f"Assertion Error: {traceback.format_exc()}")
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self.errors.append(traceback.format_exc())
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async def async_log_success_event(self, kwargs, response_obj, start_time, end_time):
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try:
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self.states.append("async_success")
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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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assert isinstance(end_time, datetime)
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## RESPONSE OBJECT
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assert isinstance(response_obj, (litellm.ModelResponse, litellm.EmbeddingResponse))
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## KWARGS
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assert isinstance(kwargs['model'], str)
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assert isinstance(kwargs['messages'], list)
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assert isinstance(kwargs['optional_params'], dict)
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assert isinstance(kwargs['litellm_params'], dict)
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assert isinstance(kwargs['start_time'], (datetime, type(None)))
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assert isinstance(kwargs['stream'], bool)
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assert isinstance(kwargs['user'], (str, type(None)))
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assert isinstance(kwargs['input'], (list, dict, str))
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assert isinstance(kwargs['api_key'], (str, type(None)))
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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'], (dict, type(None)))
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assert isinstance(kwargs['log_event_type'], str)
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assert isinstance(kwargs["cache_hit"], (bool, type(None)))
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except:
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print(f"Assertion Error: {traceback.format_exc()}")
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self.errors.append(traceback.format_exc())
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async def async_log_failure_event(self, kwargs, response_obj, start_time, end_time):
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try:
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self.states.append("async_failure")
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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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assert isinstance(end_time, datetime)
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## RESPONSE OBJECT
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assert response_obj == None
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## KWARGS
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assert isinstance(kwargs['model'], str)
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assert isinstance(kwargs['messages'], list)
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assert isinstance(kwargs['optional_params'], dict)
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assert isinstance(kwargs['litellm_params'], dict)
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assert isinstance(kwargs['start_time'], (datetime, type(None)))
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assert isinstance(kwargs['stream'], bool)
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assert isinstance(kwargs['user'], (str, type(None)))
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assert isinstance(kwargs['input'], (list, str, dict))
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assert isinstance(kwargs['api_key'], (str, type(None)))
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assert isinstance(kwargs['original_response'], (str, litellm.CustomStreamWrapper)) or inspect.isasyncgen(kwargs['original_response']) or kwargs['original_response'] == None
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assert isinstance(kwargs['additional_args'], (dict, type(None)))
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assert isinstance(kwargs['log_event_type'], str)
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except:
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print(f"Assertion Error: {traceback.format_exc()}")
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self.errors.append(traceback.format_exc())
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# COMPLETION
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## Test OpenAI + sync
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def test_chat_openai_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="gpt-3.5-turbo",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm sync openai"
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}])
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## test streaming
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response = litellm.completion(model="gpt-3.5-turbo",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm openai"
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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="gpt-3.5-turbo",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm openai"
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}],
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api_key="my-bad-key",
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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_openai_stream()
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## Test OpenAI + Async
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@pytest.mark.asyncio
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async def test_async_chat_openai_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="gpt-3.5-turbo",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm openai"
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}])
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## test streaming
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response = await litellm.acompletion(model="gpt-3.5-turbo",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm openai"
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}],
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stream=True)
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async 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 = await litellm.acompletion(model="gpt-3.5-turbo",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm openai"
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}],
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api_key="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_openai_stream())
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## Test Azure + sync
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def test_chat_azure_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="azure/chatgpt-v-2",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm sync azure"
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}])
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# test streaming
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response = litellm.completion(model="azure/chatgpt-v-2",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm sync azure"
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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="azure/chatgpt-v-2",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm sync azure"
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}],
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api_key="my-bad-key",
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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_azure_stream()
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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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customHandler = CompletionCustomHandler()
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litellm.callbacks = [customHandler]
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response = await litellm.acompletion(model="azure/chatgpt-v-2",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm async azure"
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}])
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## test streaming
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response = await litellm.acompletion(model="azure/chatgpt-v-2",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm async azure"
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}],
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stream=True)
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async 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 = await litellm.acompletion(model="azure/chatgpt-v-2",
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messages=[{
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"role": "user",
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"content": "Hi 👋 - i'm async azure"
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}],
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api_key="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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await asyncio.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_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:
|
|
continue
|
|
except:
|
|
pass
|
|
time.sleep(1)
|
|
print(f"customHandler.errors: {customHandler.errors}")
|
|
assert len(customHandler.errors) == 0
|
|
litellm.callbacks = []
|
|
except Exception as e:
|
|
pytest.fail(f"An exception occurred: {str(e)}")
|
|
|
|
# asyncio.run(test_async_chat_bedrock_stream())
|
|
|
|
# EMBEDDING
|
|
## Test OpenAI + Async
|
|
@pytest.mark.asyncio
|
|
async def test_async_embedding_openai():
|
|
try:
|
|
customHandler_success = CompletionCustomHandler()
|
|
customHandler_failure = CompletionCustomHandler()
|
|
litellm.callbacks = [customHandler_success]
|
|
response = await litellm.aembedding(model="azure/azure-embedding-model",
|
|
input=["good morning from litellm"])
|
|
await asyncio.sleep(1)
|
|
print(f"customHandler_success.errors: {customHandler_success.errors}")
|
|
print(f"customHandler_success.states: {customHandler_success.states}")
|
|
assert len(customHandler_success.errors) == 0
|
|
assert len(customHandler_success.states) == 3 # pre, post, success
|
|
# test failure callback
|
|
litellm.callbacks = [customHandler_failure]
|
|
try:
|
|
response = await litellm.aembedding(model="text-embedding-ada-002",
|
|
input=["good morning from litellm"],
|
|
api_key="my-bad-key")
|
|
except:
|
|
pass
|
|
await asyncio.sleep(1)
|
|
print(f"customHandler_failure.errors: {customHandler_failure.errors}")
|
|
print(f"customHandler_failure.states: {customHandler_failure.states}")
|
|
assert len(customHandler_failure.errors) == 0
|
|
assert len(customHandler_failure.states) == 3 # pre, post, failure
|
|
except Exception as e:
|
|
pytest.fail(f"An exception occurred: {str(e)}")
|
|
|
|
# asyncio.run(test_async_embedding_openai())
|
|
|
|
## Test Azure + Async
|
|
@pytest.mark.asyncio
|
|
async def test_async_embedding_azure():
|
|
try:
|
|
customHandler_success = CompletionCustomHandler()
|
|
customHandler_failure = CompletionCustomHandler()
|
|
litellm.callbacks = [customHandler_success]
|
|
response = await litellm.aembedding(model="azure/azure-embedding-model",
|
|
input=["good morning from litellm"])
|
|
await asyncio.sleep(1)
|
|
print(f"customHandler_success.errors: {customHandler_success.errors}")
|
|
print(f"customHandler_success.states: {customHandler_success.states}")
|
|
assert len(customHandler_success.errors) == 0
|
|
assert len(customHandler_success.states) == 3 # pre, post, success
|
|
# test failure callback
|
|
litellm.callbacks = [customHandler_failure]
|
|
try:
|
|
response = await litellm.aembedding(model="azure/azure-embedding-model",
|
|
input=["good morning from litellm"],
|
|
api_key="my-bad-key")
|
|
except:
|
|
pass
|
|
await asyncio.sleep(1)
|
|
print(f"customHandler_failure.errors: {customHandler_failure.errors}")
|
|
print(f"customHandler_failure.states: {customHandler_failure.states}")
|
|
assert len(customHandler_failure.errors) == 0
|
|
assert len(customHandler_failure.states) == 3 # pre, post, success
|
|
except Exception as e:
|
|
pytest.fail(f"An exception occurred: {str(e)}")
|
|
|
|
# asyncio.run(test_async_embedding_azure())
|
|
|
|
## Test Bedrock + Async
|
|
@pytest.mark.asyncio
|
|
async def test_async_embedding_bedrock():
|
|
try:
|
|
customHandler_success = CompletionCustomHandler()
|
|
customHandler_failure = CompletionCustomHandler()
|
|
litellm.callbacks = [customHandler_success]
|
|
litellm.set_verbose = True
|
|
response = await litellm.aembedding(model="bedrock/cohere.embed-multilingual-v3",
|
|
input=["good morning from litellm"], aws_region_name="os.environ/AWS_REGION_NAME_2")
|
|
await asyncio.sleep(1)
|
|
print(f"customHandler_success.errors: {customHandler_success.errors}")
|
|
print(f"customHandler_success.states: {customHandler_success.states}")
|
|
assert len(customHandler_success.errors) == 0
|
|
assert len(customHandler_success.states) == 3 # pre, post, success
|
|
# test failure callback
|
|
litellm.callbacks = [customHandler_failure]
|
|
try:
|
|
response = await litellm.aembedding(model="bedrock/cohere.embed-multilingual-v3",
|
|
input=["good morning from litellm"],
|
|
aws_region_name="my-bad-region")
|
|
except:
|
|
pass
|
|
await asyncio.sleep(1)
|
|
print(f"customHandler_failure.errors: {customHandler_failure.errors}")
|
|
print(f"customHandler_failure.states: {customHandler_failure.states}")
|
|
assert len(customHandler_failure.errors) == 0
|
|
assert len(customHandler_failure.states) == 3 # pre, post, success
|
|
except Exception as e:
|
|
pytest.fail(f"An exception occurred: {str(e)}")
|
|
|
|
# asyncio.run(test_async_embedding_bedrock())
|
|
|
|
# CACHING
|
|
## Test Azure - completion, embedding
|
|
@pytest.mark.asyncio
|
|
async def test_async_completion_azure_caching():
|
|
customHandler_caching = CompletionCustomHandler()
|
|
litellm.cache = Cache(type="redis", host=os.environ['REDIS_HOST'], port=os.environ['REDIS_PORT'], password=os.environ['REDIS_PASSWORD'])
|
|
litellm.callbacks = [customHandler_caching]
|
|
unique_time = time.time()
|
|
response1 = await litellm.acompletion(model="azure/chatgpt-v-2",
|
|
messages=[{
|
|
"role": "user",
|
|
"content": f"Hi 👋 - i'm async azure {unique_time}"
|
|
}],
|
|
caching=True)
|
|
await asyncio.sleep(1)
|
|
print(f"customHandler_caching.states pre-cache hit: {customHandler_caching.states}")
|
|
response2 = await litellm.acompletion(model="azure/chatgpt-v-2",
|
|
messages=[{
|
|
"role": "user",
|
|
"content": f"Hi 👋 - i'm async azure {unique_time}"
|
|
}],
|
|
caching=True)
|
|
await asyncio.sleep(1) # success callbacks are done in parallel
|
|
print(f"customHandler_caching.states post-cache hit: {customHandler_caching.states}")
|
|
assert len(customHandler_caching.errors) == 0
|
|
assert len(customHandler_caching.states) == 4 # pre, post, success, success
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_async_embedding_azure_caching():
|
|
customHandler_caching = CompletionCustomHandler()
|
|
litellm.cache = Cache(type="redis", host=os.environ['REDIS_HOST'], port=os.environ['REDIS_PORT'], password=os.environ['REDIS_PASSWORD'])
|
|
litellm.callbacks = [customHandler_caching]
|
|
unique_time = time.time()
|
|
response1 = await litellm.aembedding(model="azure/azure-embedding-model",
|
|
input=[f"good morning from litellm1 {unique_time}"],
|
|
caching=True)
|
|
response2 = await litellm.aembedding(model="azure/azure-embedding-model",
|
|
input=[f"good morning from litellm1 {unique_time}"],
|
|
caching=True)
|
|
await asyncio.sleep(1) # success callbacks are done in parallel
|
|
assert len(customHandler_caching.errors) == 0
|
|
assert len(customHandler_caching.states) == 4 # pre, post, success, success
|