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Litellm dev 01 06 2025 p1 (#7594)
* fix(custom_logger.py): expose new 'async_get_chat_completion_prompt' event hook * fix(custom_logger.py): langfuse_prompt_management.py remove 'headers' from custom logger 'async_get_chat_completion_prompt' and 'get_chat_completion_prompt' event hooks * feat(router.py): expose new function for prompt management based routing * feat(router.py): partial working router prompt factory logic allows load balanced model to be used for model name w/ langfuse prompt management call * feat(router.py): fix prompt management with load balanced model group * feat(langfuse_prompt_management.py): support reading in openai params from langfuse enables user to define optional params on langfuse vs. client code * test(test_Router.py): add unit test for router based langfuse prompt management * fix: fix linting errors
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9 changed files with 214 additions and 90 deletions
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@ -79,6 +79,7 @@ from litellm.utils import (
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create_tokenizer,
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get_api_key,
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get_llm_provider,
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get_non_default_completion_params,
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get_optional_params_embeddings,
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get_optional_params_image_gen,
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get_optional_params_transcription,
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@ -881,12 +882,8 @@ def completion( # type: ignore # noqa: PLR0915
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assistant_continue_message=assistant_continue_message,
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)
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######## end of unpacking kwargs ###########
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openai_params = litellm.OPENAI_CHAT_COMPLETION_PARAMS
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default_params = openai_params + all_litellm_params
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non_default_params = get_non_default_completion_params(kwargs=kwargs)
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litellm_params = {} # used to prevent unbound var errors
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non_default_params = {
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k: v for k, v in kwargs.items() if k not in default_params
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} # model-specific params - pass them straight to the model/provider
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## PROMPT MANAGEMENT HOOKS ##
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if isinstance(litellm_logging_obj, LiteLLMLoggingObj) and prompt_id is not None:
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@ -895,7 +892,6 @@ def completion( # type: ignore # noqa: PLR0915
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model=model,
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messages=messages,
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non_default_params=non_default_params,
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headers=headers,
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prompt_id=prompt_id,
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prompt_variables=prompt_variables,
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)
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