forked from phoenix/litellm-mirror
fix(utils.py): enable cost tracking for image gen models on proxy
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parent
511510a1cc
commit
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3 changed files with 43 additions and 42 deletions
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@ -3067,7 +3067,7 @@ def image_generation(
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custom_llm_provider=custom_llm_provider,
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custom_llm_provider=custom_llm_provider,
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**non_default_params,
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**non_default_params,
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)
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)
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logging = litellm_logging_obj
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logging: Logging = litellm_logging_obj
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logging.update_environment_variables(
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logging.update_environment_variables(
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model=model,
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model=model,
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user=user,
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user=user,
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@ -819,44 +819,44 @@ async def test_async_embedding_azure_caching():
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# Image Generation
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# Image Generation
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# ## Test OpenAI + Sync
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## Test OpenAI + Sync
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# def test_image_generation_openai():
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def test_image_generation_openai():
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# try:
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try:
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# customHandler_success = CompletionCustomHandler()
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customHandler_success = CompletionCustomHandler()
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# customHandler_failure = CompletionCustomHandler()
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customHandler_failure = CompletionCustomHandler()
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# litellm.callbacks = [customHandler_success]
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litellm.callbacks = [customHandler_success]
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# litellm.set_verbose = True
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litellm.set_verbose = True
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# response = litellm.image_generation(
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response = litellm.image_generation(
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# prompt="A cute baby sea otter", model="dall-e-3"
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prompt="A cute baby sea otter", model="dall-e-3"
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# )
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)
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# print(f"response: {response}")
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print(f"response: {response}")
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# assert len(response.data) > 0
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assert len(response.data) > 0
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# print(f"customHandler_success.errors: {customHandler_success.errors}")
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print(f"customHandler_success.errors: {customHandler_success.errors}")
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# print(f"customHandler_success.states: {customHandler_success.states}")
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print(f"customHandler_success.states: {customHandler_success.states}")
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# assert len(customHandler_success.errors) == 0
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assert len(customHandler_success.errors) == 0
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# assert len(customHandler_success.states) == 3 # pre, post, success
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assert len(customHandler_success.states) == 3 # pre, post, success
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# # test failure callback
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# test failure callback
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# litellm.callbacks = [customHandler_failure]
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litellm.callbacks = [customHandler_failure]
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# try:
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try:
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# response = litellm.image_generation(
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response = litellm.image_generation(
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# prompt="A cute baby sea otter", model="dall-e-4"
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prompt="A cute baby sea otter", model="dall-e-4"
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# )
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)
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# except:
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except:
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# pass
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pass
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# print(f"customHandler_failure.errors: {customHandler_failure.errors}")
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print(f"customHandler_failure.errors: {customHandler_failure.errors}")
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# print(f"customHandler_failure.states: {customHandler_failure.states}")
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print(f"customHandler_failure.states: {customHandler_failure.states}")
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# assert len(customHandler_failure.errors) == 0
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assert len(customHandler_failure.errors) == 0
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# assert len(customHandler_failure.states) == 3 # pre, post, failure
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assert len(customHandler_failure.states) == 3 # pre, post, failure
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# except litellm.RateLimitError as e:
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except litellm.RateLimitError as e:
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# pass
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pass
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# except litellm.ContentPolicyViolationError:
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except litellm.ContentPolicyViolationError:
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# pass # OpenAI randomly raises these errors - skip when they occur
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pass # OpenAI randomly raises these errors - skip when they occur
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# except Exception as e:
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except Exception as e:
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# pytest.fail(f"An exception occurred - {str(e)}")
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pytest.fail(f"An exception occurred - {str(e)}")
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# test_image_generation_openai()
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# test_image_generation_openai()
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@ -2029,14 +2029,15 @@ def client(original_function):
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start_time=start_time,
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start_time=start_time,
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)
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)
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## check if metadata is passed in
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## check if metadata is passed in
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litellm_params = {}
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if "metadata" in kwargs:
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if "metadata" in kwargs:
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litellm_params = {"metadata": kwargs["metadata"]}
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litellm_params["metadata"] = kwargs["metadata"]
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logging_obj.update_environment_variables(
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logging_obj.update_environment_variables(
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model=model,
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model=model,
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user="",
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user="",
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optional_params={},
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optional_params={},
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litellm_params=litellm_params,
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litellm_params=litellm_params,
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)
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)
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return logging_obj
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return logging_obj
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except Exception as e:
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except Exception as e:
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import logging
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import logging
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