chore: initial snapshot for gitea/github upload

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2026-03-26 16:04:46 +08:00
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"""
Azure AI Rerank - uses `llm_http_handler.py` to make httpx requests
Request/Response transformation is handled in `transformation.py`
"""

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"""
Translate between Cohere's `/rerank` format and Azure AI's `/rerank` format.
"""
from typing import Optional
import httpx
import litellm
from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
from litellm.llms.cohere.rerank.transformation import CohereRerankConfig
from litellm.secret_managers.main import get_secret_str
from litellm.types.utils import RerankResponse
from litellm.utils import _add_path_to_api_base
class AzureAIRerankConfig(CohereRerankConfig):
"""
Azure AI Rerank - Follows the same Spec as Cohere Rerank
"""
def get_complete_url(
self,
api_base: Optional[str],
model: str,
optional_params: Optional[dict] = None,
) -> str:
if api_base is None:
raise ValueError(
"Azure AI API Base is required. api_base=None. Set in call or via `AZURE_AI_API_BASE` env var."
)
original_url = httpx.URL(api_base)
if not original_url.is_absolute_url:
raise ValueError(
"Azure AI API Base must be an absolute URL including scheme (e.g. "
"'https://<resource>.services.ai.azure.com'). "
f"Got api_base={api_base!r}."
)
normalized_path = original_url.path.rstrip("/")
# Allow callers to pass either full v1/v2 rerank endpoints:
# - https://<resource>.services.ai.azure.com/v1/rerank
# - https://<resource>.services.ai.azure.com/providers/cohere/v2/rerank
if normalized_path.endswith("/v1/rerank") or normalized_path.endswith(
"/v2/rerank"
):
return str(original_url.copy_with(path=normalized_path or "/"))
# If callers pass just the version path (e.g. ".../v2" or ".../providers/cohere/v2"), append "/rerank"
if (
normalized_path.endswith("/v1")
or normalized_path.endswith("/v2")
or normalized_path.endswith("/providers/cohere/v2")
):
return _add_path_to_api_base(
api_base=str(original_url.copy_with(path=normalized_path or "/")),
ending_path="/rerank",
)
# Backwards compatible default: Azure AI rerank was originally exposed under /v1/rerank
return _add_path_to_api_base(api_base=api_base, ending_path="/v1/rerank")
def validate_environment(
self,
headers: dict,
model: str,
api_key: Optional[str] = None,
optional_params: Optional[dict] = None,
) -> dict:
if api_key is None:
api_key = get_secret_str("AZURE_AI_API_KEY") or litellm.azure_key
if api_key is None:
raise ValueError(
"Azure AI API key is required. Please set 'AZURE_AI_API_KEY' or 'litellm.azure_key'"
)
default_headers = {
"Authorization": f"Bearer {api_key}",
"accept": "application/json",
"content-type": "application/json",
}
# If 'Authorization' is provided in headers, it overrides the default.
if "Authorization" in headers:
default_headers["Authorization"] = headers["Authorization"]
# Merge other headers, overriding any default ones except Authorization
return {**default_headers, **headers}
def transform_rerank_response(
self,
model: str,
raw_response: httpx.Response,
model_response: RerankResponse,
logging_obj: LiteLLMLoggingObj,
api_key: Optional[str] = None,
request_data: dict = {},
optional_params: dict = {},
litellm_params: dict = {},
) -> RerankResponse:
rerank_response = super().transform_rerank_response(
model=model,
raw_response=raw_response,
model_response=model_response,
logging_obj=logging_obj,
api_key=api_key,
request_data=request_data,
optional_params=optional_params,
litellm_params=litellm_params,
)
base_model = self._get_base_model(
rerank_response._hidden_params.get("llm_provider-azureml-model-group")
)
rerank_response._hidden_params["model"] = base_model
return rerank_response
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