forked from phoenix/litellm-mirror
27e18358ab
* fix(pattern_match_deployments.py): default to user input if unable to map based on wildcards * test: fix test * test: reset test name * test: update conftest to reload proxy server module between tests * ci(config.yml): move langfuse out of local_testing reduce ci/cd time * ci(config.yml): cleanup langfuse ci/cd tests * fix: update test to not use global proxy_server app module * ci: move caching to a separate test pipeline speed up ci pipeline * test: update conftest to check if proxy_server attr exists before reloading * build(conftest.py): don't block on inability to reload proxy_server * ci(config.yml): update caching unit test filter to work on 'cache' keyword as well * fix(encrypt_decrypt_utils.py): use function to get salt key * test: mark flaky test * test: handle anthropic overloaded errors * refactor: create separate ci/cd pipeline for proxy unit tests make ci/cd faster * ci(config.yml): add litellm_proxy_unit_testing to build_and_test jobs * ci(config.yml): generate prisma binaries for proxy unit tests * test: readd vertex_key.json * ci(config.yml): remove `-s` from proxy_unit_test cmd speed up test * ci: remove any 'debug' logging flag speed up ci pipeline * test: fix test * test(test_braintrust.py): rerun * test: add delay for braintrust test
121 lines
4.4 KiB
Python
121 lines
4.4 KiB
Python
from litellm.integrations.custom_logger import CustomLogger
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import inspect
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import litellm
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class testCustomCallbackProxy(CustomLogger):
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def __init__(self):
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self.success: bool = False # type: ignore
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self.failure: bool = False # type: ignore
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self.async_success: bool = False # type: ignore
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self.async_success_embedding: bool = False # type: ignore
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self.async_failure: bool = False # type: ignore
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self.async_failure_embedding: bool = False # type: ignore
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self.async_completion_kwargs = None # type: ignore
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self.async_embedding_kwargs = None # type: ignore
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self.async_embedding_response = None # type: ignore
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self.async_completion_kwargs_fail = None # type: ignore
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self.async_embedding_kwargs_fail = None # type: ignore
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self.streaming_response_obj = None # type: ignore
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blue_color_code = "\033[94m"
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reset_color_code = "\033[0m"
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print(f"{blue_color_code}Initialized LiteLLM custom logger")
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try:
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print(f"Logger Initialized with following methods:")
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methods = [
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method
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for method in dir(self)
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if inspect.ismethod(getattr(self, method))
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]
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# Pretty print the methods
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for method in methods:
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print(f" - {method}")
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print(f"{reset_color_code}")
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except Exception:
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pass
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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"On Success")
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self.success = True
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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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self.failure = True
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async def async_log_success_event(self, kwargs, response_obj, start_time, end_time):
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print(f"On Async success")
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self.async_success = True
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print("Value of async success: ", self.async_success)
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print("\n kwargs: ", kwargs)
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if (
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kwargs.get("model") == "azure-embedding-model"
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or kwargs.get("model") == "ada"
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):
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print("Got an embedding model", kwargs.get("model"))
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print("Setting embedding success to True")
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self.async_success_embedding = True
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print("Value of async success embedding: ", self.async_success_embedding)
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self.async_embedding_kwargs = kwargs
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self.async_embedding_response = response_obj
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if kwargs.get("stream") == True:
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self.streaming_response_obj = response_obj
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self.async_completion_kwargs = kwargs
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model = kwargs.get("model", None)
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messages = kwargs.get("messages", None)
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user = kwargs.get("user", None)
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# Access litellm_params passed to litellm.completion(), example access `metadata`
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litellm_params = kwargs.get("litellm_params", {})
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metadata = litellm_params.get(
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"metadata", {}
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) # headers passed to LiteLLM proxy, can be found here
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# Calculate cost using litellm.completion_cost()
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cost = litellm.completion_cost(completion_response=response_obj)
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response = response_obj
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# tokens used in response
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usage = response_obj["usage"]
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print("\n\n in custom callback vars my custom logger, ", vars(my_custom_logger))
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print(
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f"""
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Model: {model},
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Messages: {messages},
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User: {user},
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Usage: {usage},
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Cost: {cost},
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Response: {response}
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Proxy Metadata: {metadata}
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"""
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)
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return
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async def async_log_failure_event(self, kwargs, response_obj, start_time, end_time):
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print(f"On Async Failure")
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self.async_failure = True
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print("Value of async failure: ", self.async_failure)
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print("\n kwargs: ", kwargs)
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if kwargs.get("model") == "text-embedding-ada-002":
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self.async_failure_embedding = True
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self.async_embedding_kwargs_fail = kwargs
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self.async_completion_kwargs_fail = kwargs
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my_custom_logger = testCustomCallbackProxy()
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