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llm-connect/tests/test_costs.py
tegwick c11c6afa3f
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Implement-LLM-WP-0005-cost-model-estimators
2026-05-19 05:02:20 +02:00

50 lines
1.5 KiB
Python

import pytest
from llm_connect.costs import CostEstimate, CostModel, estimate_cost
from llm_connect.rates import ModelRate, ModelRateRegistry
def test_known_model_cost_matches_lefevre_smoke_budget():
estimate = estimate_cost("openai/gpt-4o-mini", 28_000, 7_500)
assert estimate.cost_source == "rate_table:openai/gpt-4o-mini"
assert estimate.cost_usd == pytest.approx(0.0087)
assert estimate.cost_usd == pytest.approx(0.009, rel=0.2)
def test_unknown_model_returns_unknown_without_zeroing_cost():
estimate = estimate_cost("unknown/model", 100, 50)
assert estimate == CostEstimate(cost_usd=None, cost_source="unknown")
def test_registry_override_controls_estimate():
registry = ModelRateRegistry(
{
"vendor/model": ModelRate(
"vendor/model",
prompt_per_1k=1.0,
completion_per_1k=2.0,
)
}
)
estimate = estimate_cost("vendor/model", 1_000, 500, registry=registry)
assert estimate.cost_usd == pytest.approx(2.0)
assert estimate.prompt_cost_usd == pytest.approx(1.0)
assert estimate.completion_cost_usd == pytest.approx(1.0)
def test_zero_tokens_are_valid_and_cost_zero_for_known_model():
estimate = CostModel().estimate_cost("openai/gpt-4o-mini", 0, 0)
assert estimate.cost_usd == 0
assert estimate.prompt_cost_usd == 0
assert estimate.completion_cost_usd == 0
def test_negative_tokens_are_rejected():
with pytest.raises(ValueError, match="prompt_tokens"):
estimate_cost("openai/gpt-4o-mini", -1, 0)