TestLLM / litellm /llms /infinity /rerank /transformation.py
Raju2024's picture
Upload 1072 files
e3278e4 verified
raw
history blame
3.13 kB
"""
Transformation logic from Cohere's /v1/rerank format to Infinity's `/v1/rerank` format.
Why separate file? Make it easy to see how transformation works
"""
import uuid
from typing import List, 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.rerank import RerankBilledUnits, RerankResponseMeta, RerankTokens
from litellm.types.utils import RerankResponse
from .common_utils import InfinityError
class InfinityRerankConfig(CohereRerankConfig):
def validate_environment(
self,
headers: dict,
model: str,
api_key: Optional[str] = None,
) -> dict:
if api_key is None:
api_key = (
get_secret_str("INFINITY_API_KEY")
or get_secret_str("INFINITY_API_KEY")
or litellm.infinity_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:
"""
Transform Infinity rerank response
No transformation required, Infinity follows Cohere API response format
"""
try:
raw_response_json = raw_response.json()
except Exception:
raise InfinityError(
message=raw_response.text, status_code=raw_response.status_code
)
_billed_units = RerankBilledUnits(**raw_response_json.get("usage", {}))
_tokens = RerankTokens(
input_tokens=raw_response_json.get("usage", {}).get("prompt_tokens", 0),
output_tokens=(
raw_response_json.get("usage", {}).get("total_tokens", 0)
- raw_response_json.get("usage", {}).get("prompt_tokens", 0)
),
)
rerank_meta = RerankResponseMeta(billed_units=_billed_units, tokens=_tokens)
_results: Optional[List[dict]] = raw_response_json.get("results")
if _results is None:
raise ValueError(f"No results found in the response={raw_response_json}")
return RerankResponse(
id=raw_response_json.get("id") or str(uuid.uuid4()),
results=_results, # type: ignore
meta=rerank_meta,
) # Return response