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Tanvir Alam 2026-10-03 13:30:27 -04:00 • committed by GitHub
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@ -897,6 +897,14 @@ def calculate_cache_writing_cost(
) -> float:
"""
Adjust cost of cache creation tokens based on the cache creation token details.
When a 5m/1h breakdown is present but covers fewer tokens than
``cache_creation_tokens`` (common on streamed Anthropic server-tool
requests, where the stream merger keeps the ``message_start`` breakdown
while the top-level total grows across iterations), bill the undetailed
remainder at the default 5m rate — same rule
``AnthropicConfig._aggregate_cache_creation_token_details`` uses for
non-streaming ``usage.iterations``.
"""
total_cost: float = 0.0
if cache_creation_token_details is not None:
@ -908,6 +916,9 @@ def calculate_cache_writing_cost(
total_cost += (
cache_creation_tokens_1h * cache_creation_cost_above_1hr if cache_creation_tokens_1h is not None else 0.0
)
detailed: Final = (cache_creation_tokens_5m or 0) + (cache_creation_tokens_1h or 0)
undetailed: Final = max(cache_creation_tokens - detailed, 0)
total_cost += undetailed * cache_creation_cost
else:
total_cost += cache_creation_tokens * cache_creation_cost
return total_cost

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@ -0,0 +1,66 @@
"""Regression tests for calculate_cache_writing_cost undetailed remainder (#42663)."""
import pytest
from litellm.litellm_core_utils.llm_cost_calc.utils import calculate_cache_writing_cost
from litellm.types.utils import CacheCreationTokenDetails
def test_calculate_cache_writing_cost_bills_undetailed_remainder_at_5m_rate():
"""
Streamed Anthropic server-tool runs keep the message_start 5m/1h breakdown
while cache_creation_input_tokens grows across iterations. Pricing must
still bill the undetailed remainder at the 5m rate instead of dropping it.
"""
rate_5m = 3.75e-6
rate_1h = 6.0e-6
details = CacheCreationTokenDetails(
ephemeral_5m_input_tokens=31490,
ephemeral_1h_input_tokens=0,
)
# Stale breakdown (message_start only) vs full streamed total.
cost = calculate_cache_writing_cost(
cache_creation_tokens=184457,
cache_creation_token_details=details,
cache_creation_cost_above_1hr=rate_1h,
cache_creation_cost=rate_5m,
)
assert cost == pytest.approx(184457 * rate_5m)
# Already-reconciled details (non-streaming aggregate path) must not double-bill.
reconciled = CacheCreationTokenDetails(
ephemeral_5m_input_tokens=184457,
ephemeral_1h_input_tokens=0,
)
cost_reconciled = calculate_cache_writing_cost(
cache_creation_tokens=184457,
cache_creation_token_details=reconciled,
cache_creation_cost_above_1hr=rate_1h,
cache_creation_cost=rate_5m,
)
assert cost_reconciled == pytest.approx(184457 * rate_5m)
# Mixed 5m + 1h with an undetailed remainder.
mixed = CacheCreationTokenDetails(
ephemeral_5m_input_tokens=1000,
ephemeral_1h_input_tokens=2000,
)
cost_mixed = calculate_cache_writing_cost(
cache_creation_tokens=5000,
cache_creation_token_details=mixed,
cache_creation_cost_above_1hr=rate_1h,
cache_creation_cost=rate_5m,
)
assert cost_mixed == pytest.approx(1000 * rate_5m + 2000 * rate_1h + 2000 * rate_5m)
def test_calculate_cache_writing_cost_without_details_uses_total():
rate_5m = 3.75e-6
cost = calculate_cache_writing_cost(
cache_creation_tokens=1000,
cache_creation_token_details=None,
cache_creation_cost_above_1hr=6.0e-6,
cache_creation_cost=rate_5m,
)
assert cost == pytest.approx(1000 * rate_5m)