litellm-mirror/litellm/llms/azure_ai/rerank/handler.py
Krish Dholakia 7e9d8b58f6
LiteLLM Minor Fixes & Improvements (11/23/2024) (#6870)
* feat(pass_through_endpoints/): support logging anthropic/gemini pass through calls to langfuse/s3/etc.

* fix(utils.py): allow disabling end user cost tracking with new param

Allows proxy admin to disable cost tracking for end user - keeps prometheus metrics small

* docs(configs.md): add disable_end_user_cost_tracking reference to docs

* feat(key_management_endpoints.py): add support for restricting access to `/key/generate` by team/proxy level role

Enables admin to restrict key creation, and assign team admins to handle distributing keys

* test(test_key_management.py): add unit testing for personal / team key restriction checks

* docs: add docs on restricting key creation

* docs(finetuned_models.md): add new guide on calling finetuned models

* docs(input.md): cleanup anthropic supported params

Closes https://github.com/BerriAI/litellm/issues/6856

* test(test_embedding.py): add test for passing extra headers via embedding

* feat(cohere/embed): pass client to async embedding

* feat(rerank.py): add `/v1/rerank` if missing for cohere base url

Closes https://github.com/BerriAI/litellm/issues/6844

* fix(main.py): pass extra_headers param to openai

Fixes https://github.com/BerriAI/litellm/issues/6836

* fix(litellm_logging.py): don't disable global callbacks when dynamic callbacks are set

Fixes issue where global callbacks - e.g. prometheus were overriden when langfuse was set dynamically

* fix(handler.py): fix linting error

* fix: fix typing

* build: add conftest to proxy_admin_ui_tests/

* test: fix test

* fix: fix linting errors

* test: fix test

* fix: fix pass through testing
2024-11-23 15:17:40 +05:30

127 lines
4.4 KiB
Python

from typing import Any, Dict, List, Optional, Union
import httpx
from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
from litellm.llms.cohere.rerank import CohereRerank
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
from litellm.types.rerank import RerankResponse
class AzureAIRerank(CohereRerank):
def get_base_model(self, azure_model_group: Optional[str]) -> Optional[str]:
if azure_model_group is None:
return None
if azure_model_group == "offer-cohere-rerank-mul-paygo":
return "azure_ai/cohere-rerank-v3-multilingual"
if azure_model_group == "offer-cohere-rerank-eng-paygo":
return "azure_ai/cohere-rerank-v3-english"
return azure_model_group
async def async_azure_rerank(
self,
model: str,
api_key: str,
api_base: str,
query: str,
documents: List[Union[str, Dict[str, Any]]],
headers: Optional[dict],
litellm_logging_obj: LiteLLMLoggingObj,
top_n: Optional[int] = None,
rank_fields: Optional[List[str]] = None,
return_documents: Optional[bool] = True,
max_chunks_per_doc: Optional[int] = None,
):
returned_response: RerankResponse = await super().rerank( # type: ignore
model=model,
api_key=api_key,
api_base=api_base,
query=query,
documents=documents,
top_n=top_n,
rank_fields=rank_fields,
return_documents=return_documents,
max_chunks_per_doc=max_chunks_per_doc,
_is_async=True,
headers=headers,
litellm_logging_obj=litellm_logging_obj,
)
# get base model
additional_headers = (
returned_response._hidden_params.get("additional_headers") or {}
)
base_model = self.get_base_model(
additional_headers.get("llm_provider-azureml-model-group")
)
returned_response._hidden_params["model"] = base_model
return returned_response
def rerank(
self,
model: str,
api_key: str,
api_base: str,
query: str,
documents: List[Union[str, Dict[str, Any]]],
headers: Optional[dict],
litellm_logging_obj: LiteLLMLoggingObj,
top_n: Optional[int] = None,
rank_fields: Optional[List[str]] = None,
return_documents: Optional[bool] = True,
max_chunks_per_doc: Optional[int] = None,
_is_async: Optional[bool] = False,
client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,
) -> RerankResponse:
if headers is None:
headers = {"Authorization": "Bearer {}".format(api_key)}
else:
headers = {**headers, "Authorization": "Bearer {}".format(api_key)}
# Assuming api_base is a string representing the base URL
api_base_url = httpx.URL(api_base)
# Replace the path with '/v1/rerank' if it doesn't already end with it
if not api_base_url.path.endswith("/v1/rerank"):
api_base = str(api_base_url.copy_with(path="/v1/rerank"))
if _is_async:
return self.async_azure_rerank( # type: ignore
model=model,
api_key=api_key,
api_base=api_base,
query=query,
documents=documents,
top_n=top_n,
rank_fields=rank_fields,
return_documents=return_documents,
max_chunks_per_doc=max_chunks_per_doc,
headers=headers,
litellm_logging_obj=litellm_logging_obj,
)
else:
returned_response = super().rerank(
model=model,
api_key=api_key,
api_base=api_base,
query=query,
documents=documents,
top_n=top_n,
rank_fields=rank_fields,
return_documents=return_documents,
max_chunks_per_doc=max_chunks_per_doc,
_is_async=_is_async,
headers=headers,
litellm_logging_obj=litellm_logging_obj,
)
# get base model
base_model = self.get_base_model(
returned_response._hidden_params.get("llm_provider-azureml-model-group")
)
returned_response._hidden_params["model"] = base_model
return returned_response