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https://github.com/BerriAI/litellm.git
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fix(router.py): log when a call is retried or fallback happens
This commit is contained in:
Krrish Dholakia
parent
642c62f7b7
commit
7b83238cb5
2 changed files with 126 additions and 39 deletions
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@ -10,6 +10,30 @@ sys.path.insert(
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import litellm
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from litellm import Router
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from litellm.integrations.custom_logger import CustomLogger
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class MyCustomHandler(CustomLogger):
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success: bool = False
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failure: bool = False
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previous_models: int = 0
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def log_pre_api_call(self, model, messages, kwargs):
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print(f"Pre-API Call")
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def log_post_api_call(self, kwargs, response_obj, start_time, end_time):
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print(f"Post-API Call")
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def log_stream_event(self, kwargs, response_obj, start_time, end_time):
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print(f"On Stream")
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def log_success_event(self, kwargs, response_obj, start_time, end_time):
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print(f"previous_models: {kwargs['litellm_params']['metadata']['previous_models']}")
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self.previous_models += len(kwargs["litellm_params"]["metadata"]["previous_models"]) # {"previous_models": [{"model": litellm_model_name, "exception_type": AuthenticationError, "exception_string": <complete_traceback>}]}
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print(f"self.previous_models: {self.previous_models}")
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print(f"On Success")
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def log_failure_event(self, kwargs, response_obj, start_time, end_time):
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print(f"On Failure")
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model_list = [
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{ # list of model deployments
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@ -27,7 +51,7 @@ model_list = [
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"model_name": "azure/gpt-3.5-turbo-context-fallback", # openai model name
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"litellm_params": { # params for litellm completion/embedding call
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"model": "azure/chatgpt-v-2",
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"api_key": "bad-key",
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"api_key": os.getenv("AZURE_API_KEY"),
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"api_version": os.getenv("AZURE_API_VERSION"),
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"api_base": os.getenv("AZURE_API_BASE")
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},
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@ -67,52 +91,74 @@ model_list = [
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router = Router(model_list=model_list,
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fallbacks=[{"azure/gpt-3.5-turbo": ["gpt-3.5-turbo"]}],
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context_window_fallbacks=[{"azure/gpt-3.5-turbo-context-fallback": ["gpt-3.5-turbo-16k"]}, {"gpt-3.5-turbo": ["gpt-3.5-turbo-16k"]}],
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set_verbose=True)
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kwargs = {"model": "azure/gpt-3.5-turbo", "messages": [{"role": "user", "content":"Hey, how's it going?"}]}
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def test_sync_fallbacks():
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try:
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litellm.set_verbose = True
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customHandler = MyCustomHandler()
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litellm.callbacks = [customHandler]
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router = Router(model_list=model_list,
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fallbacks=[{"azure/gpt-3.5-turbo": ["gpt-3.5-turbo"]}],
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context_window_fallbacks=[{"azure/gpt-3.5-turbo-context-fallback": ["gpt-3.5-turbo-16k"]}, {"gpt-3.5-turbo": ["gpt-3.5-turbo-16k"]}],
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set_verbose=False)
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response = router.completion(**kwargs)
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print(f"response: {response}")
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router.flush_cache()
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time.sleep(0.05) # allow a delay as success_callbacks are on a separate thread
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assert customHandler.previous_models == 1 # 0 retries, 1 fallback
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router.reset()
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except Exception as e:
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print(e)
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# test_sync_fallbacks()
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def test_async_fallbacks():
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litellm.set_verbose = False
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router = Router(model_list=model_list,
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fallbacks=[{"azure/gpt-3.5-turbo": ["gpt-3.5-turbo"]}],
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context_window_fallbacks=[{"azure/gpt-3.5-turbo-context-fallback": ["gpt-3.5-turbo-16k"]}, {"gpt-3.5-turbo": ["gpt-3.5-turbo-16k"]}],
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set_verbose=False)
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async def test_get_response():
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customHandler = MyCustomHandler()
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litellm.callbacks = [customHandler]
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user_message = "Hello, how are you?"
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messages = [{"content": user_message, "role": "user"}]
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try:
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response = await router.acompletion(**kwargs)
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# response = await response
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print(f"response: {response}")
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router.flush_cache()
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print(f"customHandler.previous_models: {customHandler.previous_models}")
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time.sleep(0.05) # allow a delay as success_callbacks are on a separate thread
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assert customHandler.previous_models == 1 # 0 retries, 1 fallback
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router.reset()
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except litellm.Timeout as e:
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pass
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except Exception as e:
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pytest.fail(f"An exception occurred: {e}")
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finally:
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router.reset()
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asyncio.run(test_get_response())
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# test_async_fallbacks()
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def test_sync_context_window_fallbacks():
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try:
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sample_text = "Say error 50 times" * 10000
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kwargs["model"] = "azure/gpt-3.5-turbo-context-fallback"
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kwargs["messages"] = [{"role": "user", "content": sample_text}]
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response = router.completion(**kwargs)
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print(f"response: {response}")
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router.reset()
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except Exception as e:
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print(e)
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## COMMENTING OUT as the context size exceeds both gpt-3.5-turbo and gpt-3.5-turbo-16k, need a better message here
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# def test_sync_context_window_fallbacks():
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# try:
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# customHandler = MyCustomHandler()
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# litellm.callbacks = [customHandler]
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# sample_text = "Say error 50 times" * 10000
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# kwargs["model"] = "azure/gpt-3.5-turbo-context-fallback"
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# kwargs["messages"] = [{"role": "user", "content": sample_text}]
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# router = Router(model_list=model_list,
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# fallbacks=[{"azure/gpt-3.5-turbo": ["gpt-3.5-turbo"]}],
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# context_window_fallbacks=[{"azure/gpt-3.5-turbo-context-fallback": ["gpt-3.5-turbo-16k"]}, {"gpt-3.5-turbo": ["gpt-3.5-turbo-16k"]}],
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# set_verbose=False)
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# response = router.completion(**kwargs)
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# print(f"response: {response}")
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# time.sleep(0.05) # allow a delay as success_callbacks are on a separate thread
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# assert customHandler.previous_models == 1 # 0 retries, 1 fallback
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# router.reset()
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# except Exception as e:
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# print(f"An exception occurred - {e}")
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# finally:
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# router.reset()
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# test_sync_context_window_fallbacks()
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@ -121,6 +167,8 @@ def test_dynamic_fallbacks_sync():
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Allow setting the fallback in the router.completion() call.
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"""
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try:
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customHandler = MyCustomHandler()
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litellm.callbacks = [customHandler]
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router = Router(model_list=model_list, set_verbose=True)
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kwargs = {}
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kwargs["model"] = "azure/gpt-3.5-turbo"
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@ -128,6 +176,8 @@ def test_dynamic_fallbacks_sync():
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kwargs["fallbacks"] = [{"azure/gpt-3.5-turbo": ["gpt-3.5-turbo"]}]
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response = router.completion(**kwargs)
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print(f"response: {response}")
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time.sleep(0.05) # allow a delay as success_callbacks are on a separate thread
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assert customHandler.previous_models == 1 # 0 retries, 1 fallback
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router.reset()
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except Exception as e:
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pytest.fail(f"An exception occurred - {e}")
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@ -140,6 +190,8 @@ def test_dynamic_fallbacks_async():
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"""
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async def test_get_response():
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try:
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customHandler = MyCustomHandler()
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litellm.callbacks = [customHandler]
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router = Router(model_list=model_list, set_verbose=True)
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kwargs = {}
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kwargs["model"] = "azure/gpt-3.5-turbo"
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@ -147,6 +199,8 @@ def test_dynamic_fallbacks_async():
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kwargs["fallbacks"] = [{"azure/gpt-3.5-turbo": ["gpt-3.5-turbo"]}]
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response = await router.acompletion(**kwargs)
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print(f"response: {response}")
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time.sleep(0.05) # allow a delay as success_callbacks are on a separate thread
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assert customHandler.previous_models == 1 # 0 retries, 1 fallback
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router.reset()
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except Exception as e:
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pytest.fail(f"An exception occurred - {e}")
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