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feat(anthropic_adapter.py): support for translating anthropic params to openai format

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Krrish Dholakia 2024-07-10 00:32:28 -07:00
parent 059a161c28
commit 01a335b4c3
10 changed files with 542 additions and 4213 deletions
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24
litellm/integrations/custom_logger.py
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@ -8,6 +8,8 @@ import dotenv
from litellm.caching import DualCache
from litellm.proxy._types import UserAPIKeyAuth
from litellm.types.llms.openai import ChatCompletionRequest
from litellm.types.utils import ModelResponse
class CustomLogger: # https://docs.litellm.ai/docs/observability/custom_callback#callback-class
@ -55,6 +57,28 @@ class CustomLogger: # https://docs.litellm.ai/docs/observability/custom_callbac
def pre_call_check(self, deployment: dict) -> Optional[dict]:
pass
#### ADAPTERS #### Allow calling 100+ LLMs in custom format - https://github.com/BerriAI/litellm/pulls
def translate_completion_input_params(
self, kwargs
) -> Optional[ChatCompletionRequest]:
"""
Translates the input params, from the provider's native format to the litellm.completion() format.
"""
pass
def translate_completion_output_params(self, response: ModelResponse):
"""
Translates the output params, from the OpenAI format to the custom format.
"""
pass
def translate_completion_output_params_streaming(self):
"""
Translates the streaming chunk, from the OpenAI format to the custom format.
"""
pass
#### CALL HOOKS - proxy only ####
"""
Control the modify incoming / outgoung data before calling the model