tegwick
09aa1f3604
Add moonshotai/kimi-k3 as OpenRouter basemodel default after live smoke, USD→EUR cost conversion, append-only usage ledger, and CLI run/cost/spend week commands with token and euro reporting.
68 lines
1.9 KiB
Python
68 lines
1.9 KiB
Python
import pytest
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from llm_connect.rates import ModelRate, ModelRateRegistry
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def test_default_registry_contains_openrouter_seed_models():
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registry = ModelRateRegistry.default()
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rates = registry.all()
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assert len(rates) >= 10
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assert rates["openai/gpt-4o-mini"].captured_at == "2026-05-17"
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assert rates["openai/gpt-4o-mini"].source_url == "https://openrouter.ai/models"
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assert rates["moonshotai/kimi-k3"].prompt_per_1k == 0.003
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assert rates["moonshotai/kimi-k3"].completion_per_1k == 0.015
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assert rates["moonshotai/kimi-k3"].captured_at == "2026-08-03"
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def test_from_yaml_loads_package_shape(tmp_path):
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path = tmp_path / "model-rates.yaml"
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path.write_text(
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"""
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schema_version: 1
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currency: USD
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source_url: https://example.test/rates
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captured_at: "2026-05-19"
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rates:
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vendor/model:
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prompt_per_1k: 0.1
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completion_per_1k: 0.2
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""",
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encoding="utf-8",
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)
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registry = ModelRateRegistry.from_yaml(path)
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rate = registry.get("vendor/model")
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assert rate == ModelRate(
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model_id="vendor/model",
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prompt_per_1k=0.1,
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completion_per_1k=0.2,
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currency="USD",
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source_url="https://example.test/rates",
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captured_at="2026-05-19",
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)
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def test_merged_with_overrides_matching_model():
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base = ModelRateRegistry.default()
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override = ModelRateRegistry(
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{
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"openai/gpt-4o-mini": ModelRate(
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"openai/gpt-4o-mini",
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prompt_per_1k=1,
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completion_per_1k=2,
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captured_at="override",
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)
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}
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)
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merged = base.merged_with(override)
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assert merged.get("openai/gpt-4o-mini").prompt_per_1k == 1
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assert merged.get("openai/gpt-4o-mini").captured_at == "override"
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def test_negative_rates_are_rejected():
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with pytest.raises(ValueError, match="prompt_per_1k"):
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ModelRate("bad/model", prompt_per_1k=-1, completion_per_1k=0)
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