33 lines
1.2 KiB
Python
33 lines
1.2 KiB
Python
from multi_swarm.genome.hypothesis import ModelTier
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from multi_swarm.llm.cost_tracker import CostTracker, estimate_cost
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def test_estimate_cost_tier_c():
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cost = estimate_cost(input_tokens=1_000_000, output_tokens=1_000_000, tier=ModelTier.C)
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assert cost == 0.40 + 0.40
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def test_estimate_cost_tier_b():
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cost = estimate_cost(input_tokens=1_000_000, output_tokens=1_000_000, tier=ModelTier.B)
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assert cost == 3.00 + 15.00
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def test_tracker_accumulates():
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t = CostTracker()
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t.record(input_tokens=10_000, output_tokens=20_000, tier=ModelTier.C, run_id="r", agent_id="a")
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t.record(input_tokens=5_000, output_tokens=15_000, tier=ModelTier.C, run_id="r", agent_id="b")
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summary = t.summary()
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assert summary["calls"] == 2
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assert summary["input_tokens"] == 15_000
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assert summary["output_tokens"] == 35_000
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assert summary["cost_usd"] > 0
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def test_tracker_per_tier_breakdown():
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t = CostTracker()
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t.record(input_tokens=10_000, output_tokens=10_000, tier=ModelTier.C, run_id="r", agent_id="a")
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t.record(input_tokens=10_000, output_tokens=10_000, tier=ModelTier.B, run_id="r", agent_id="b")
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summary = t.summary()
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assert "C" in summary["by_tier"]
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assert "B" in summary["by_tier"]
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