Prompt Management - support router + optional params #7594
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remove 'headers' from custom logger 'async_get_chat_completion_prompt' and 'get_chat_completion_prompt' event hooks
allows load balanced model to be used for model name w/ langfuse prompt management call
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… from langfuse enables user to define optional params on langfuse vs. client code
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krrishdholakia
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This was referenced Jan 9, 2025
rajatvig
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Jan 16, 2025
* 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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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