Adriano Dal Pastro
b6539802e0
- mv src/multi_swarm → src/multi_swarm_core/multi_swarm_core (member layout) - sed-replace globale degli import: from/import multi_swarm.* → multi_swarm_core.* - 115 occorrenze aggiornate in src/ scripts/ tests/ - multi_swarm_coevolutive (nome repo) preservato dal word boundary Pre-condizione per il setup uv workspace della Fase 3. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
89 lines
3.3 KiB
Python
89 lines
3.3 KiB
Python
from multi_swarm_core.genome.hypothesis import ModelTier
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from multi_swarm_core.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 == 0.14 + 0.28
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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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def test_estimate_cost_tier_s():
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cost = estimate_cost(input_tokens=1_000_000, output_tokens=1_000_000, tier=ModelTier.S)
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assert cost == 0.50 + 3.00
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def test_estimate_cost_tier_a():
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cost = estimate_cost(input_tokens=1_000_000, output_tokens=1_000_000, tier=ModelTier.A)
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assert cost == 0.14 + 0.28
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def test_estimate_cost_tier_d():
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cost = estimate_cost(input_tokens=1_000_000, output_tokens=1_000_000, tier=ModelTier.D)
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assert cost == 0.03 + 0.14
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def test_tracker_summary_contains_all_five_tiers():
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t = CostTracker()
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for tier in (ModelTier.S, ModelTier.A, ModelTier.B, ModelTier.C, ModelTier.D):
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t.record(
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input_tokens=1_000,
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output_tokens=1_000,
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tier=tier,
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run_id="r",
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agent_id=f"a-{tier.value}",
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)
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summary = t.summary()
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for tier_letter in ("S", "A", "B", "C", "D"):
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assert tier_letter in summary["by_tier"]
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assert summary["by_tier"][tier_letter]["calls"] == 1
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def test_tracker_default_call_kind_is_hypothesis():
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t = CostTracker()
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rec = t.record(input_tokens=10, output_tokens=10, tier=ModelTier.C, run_id="r", agent_id="a")
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assert rec.call_kind == "hypothesis"
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summary = t.summary()
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assert "hypothesis" in summary["by_call_kind"]
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assert summary["by_call_kind"]["hypothesis"]["calls"] == 1
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assert "mutation" not in summary["by_call_kind"]
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def test_tracker_by_call_kind_breakdown():
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t = CostTracker()
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t.record(input_tokens=100, output_tokens=200, tier=ModelTier.C, run_id="r", agent_id="a")
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t.record(input_tokens=100, output_tokens=200, tier=ModelTier.C, run_id="r", agent_id="a")
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t.record(
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input_tokens=50, output_tokens=80, tier=ModelTier.B,
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run_id="r", agent_id="parent-x", call_kind="mutation",
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)
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summary = t.summary()
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assert summary["by_call_kind"]["hypothesis"]["calls"] == 2
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assert summary["by_call_kind"]["mutation"]["calls"] == 1
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assert summary["by_call_kind"]["mutation"]["input_tokens"] == 50
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assert summary["by_call_kind"]["mutation"]["output_tokens"] == 80
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