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Litellm dev 12 24 2024 p2 (#7400)

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* fix(utils.py): default custom_llm_provider=None for 'supports_response_schema'

Closes https://github.com/BerriAI/litellm/issues/7397

* refactor(langfuse/): call langfuse logger inside customlogger compatible langfuse class, refactor langfuse logger to use verbose_logger.debug instead of print_verbose

* refactor(litellm_pre_call_utils.py): move config based team callbacks inside dynamic team callback logic

enables simpler unit testing for config-based team callbacks

* fix(proxy/_types.py): handle teamcallbackmetadata - none values

drop none values if present. if all none, use default dict to avoid downstream errors

* test(test_proxy_utils.py): add unit test preventing future issues - asserts team_id in config state not popped off across calls

Fixes https://github.com/BerriAI/litellm/issues/6787

* fix(langfuse_prompt_management.py): add success + failure logging event support

* fix: fix linting error

* test: fix test

* test: fix test

* test: override o1 prompt caching - openai currently not working

* test: fix test
This commit is contained in:
Krish Dholakia 2024-12-24 20:33:41 -08:00 • committed by GitHub
parent d790ba0897
commit c95351e70f
12 changed files with 227 additions and 62 deletions
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4
litellm/litellm_core_utils/litellm_logging.py
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@ -1202,7 +1202,7 @@ class Logging(LiteLLMLoggingBaseClass):
in_memory_dynamic_logger_cache=in_memory_dynamic_logger_cache,
)
if langfuse_logger_to_use is not None:
_response = langfuse_logger_to_use.log_event(
_response = langfuse_logger_to_use._old_log_event(
kwargs=kwargs,
response_obj=result,
start_time=start_time,
@ -1925,7 +1925,7 @@ class Logging(LiteLLMLoggingBaseClass):
standard_callback_dynamic_params=self.standard_callback_dynamic_params,
in_memory_dynamic_logger_cache=in_memory_dynamic_logger_cache,
)
_response = langfuse_logger_to_use.log_event(
_response = langfuse_logger_to_use._old_log_event(
start_time=start_time,
end_time=end_time,
response_obj=None,