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Update test_llm_cost_calc_utils.py

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Praveen11558 2026-03-10 18:45:35 +05:30 • committed by GitHub
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tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
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@ -172,44 +172,6 @@ def test_inline_pdf_tokens_costed_when_text_tokens_less_than_prompt_tokens():
f"got cost={cost}. PDF tokens are likely not being costed."
)
def test_inline_pdf_tokens_costed_when_text_both_costed_correctly():
usage = Usage(
completion_tokens=80,
prompt_tokens=6000,
total_tokens=6080,
prompt_tokens_details=PromptTokensDetailsWrapper(
audio_tokens=500, cached_tokens=None, text_tokens=50, image_tokens=None
),
)
response = ModelResponse(
usage= usage,
model = "gemini-2.0-flash-001",
)
cost = response_cost_calculator(
response_object= response,
model = "gemini-2.0-flash-001",
custom_llm_provider = "vertex_ai",
call_type = "acompletion",
optional_params= {},
)
model_info = litellm.model_cost["gemini-2.0-flash-001"]
input_cost_per_token = model_info["input_cost_per_token"]
input_cost_per_audio_token = model_info["input_cost_per_audio_token"]
output_cost_per_token = model_info["output_cost_per_token"]
expected_input_cost = (
5500 * input_cost_per_token + 500 * input_cost_per_audio_token
)
expected_output_cost = 80 * output_cost_per_token
expected_cost = expected_input_cost + expected_output_cost
assert cost == pytest.approx(expected_cost), (
f"Expected cost={expected_cost}, got cost={cost}. "
f"Unaccounted PDF tokens alongside audio are not being costed."
)
def test_inline_pdf_with_audio_tokens_both_costed_correctly():
"""
Scenario: User sends a PDF inline + audio + text.