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⚡️ Speed up method JinaAIRerankConfig.calculate_rerank_cost by 18% #113

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⚡️ Speed up method JinaAIRerankConfig.calculate_rerank_cost by 18% #113

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30 changes: 13 additions & 17 deletions litellm/llms/jina_ai/rerank/transformation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -51,9 +51,11 @@ def map_cohere_rerank_params(
for k, v in non_default_params.items():
if k in supported_params:
optional_params[k] = v
return dict(OptionalRerankParams(
**optional_params,
))
return dict(
OptionalRerankParams(
**optional_params,
)
)

def get_complete_url(self, api_base: Optional[str], model: str) -> str:
base_path = "/v1/rerank"
Expand Down Expand Up @@ -144,17 +146,11 @@ def calculate_rerank_cost(
"""
Jina AI reranker is priced at $0.000000018 per token.
"""
if (
model_info is None
or "input_cost_per_token" not in model_info
or model_info["input_cost_per_token"] is None
or billed_units is None
):
return 0.0, 0.0

total_tokens = billed_units.get("total_tokens")
if total_tokens is None:
return 0.0, 0.0

input_cost = model_info["input_cost_per_token"] * total_tokens
return input_cost, 0.0
# Fast path: all necessary data is present and valid
if model_info is not None and billed_units is not None:
input_cost_per_token = model_info.get("input_cost_per_token", None)
total_tokens = billed_units.get("total_tokens", None)
if input_cost_per_token is not None and total_tokens is not None:
input_cost = input_cost_per_token * total_tokens
return input_cost, 0.0
return 0.0, 0.0