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Token Calculator

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This commit is contained in:
Robert Helewka
2026-06-10 14:28:16 -04:00
parent 64fb83257d
commit 71b98ee4e4
20 changed files with 9719 additions and 916 deletions
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26
studies/202512_GenesysCX/ctm-token-calculator/tests/test_cost_model.py
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@@ -34,8 +34,8 @@ def test_default_sites_match_contracted_users():
def test_sta_acceptance_number():
"""2,088 users × 30 tokens × 12 months × $1 = $751,680."""
df = calculate_per_user_ai_cost(
CTM_DEFAULT_SITES, _scope("Speech & Text Analytics"),
DEFAULT_METERS["Speech & Text Analytics"], DEFAULT_PRICING,
CTM_DEFAULT_SITES, _scope("Speech & Text Analytics [named]"),
DEFAULT_METERS["Speech & Text Analytics [named]"], DEFAULT_PRICING,
)
assert df["annual_cost"].sum() == pytest.approx(751_680)
@@ -43,16 +43,20 @@ def test_sta_acceptance_number():
def test_agent_copilot_acceptance_number():
"""2,088 users × 40 tokens × 12 months × $1 = $1,002,240."""
df = calculate_per_user_ai_cost(
CTM_DEFAULT_SITES, _scope("Agent Copilot"),
DEFAULT_METERS["Agent Copilot"], DEFAULT_PRICING,
CTM_DEFAULT_SITES, _scope("Agent Copilot [named]"),
DEFAULT_METERS["Agent Copilot [named]"], DEFAULT_PRICING,
)
assert df["annual_cost"].sum() == pytest.approx(1_002_240)
def test_per_user_not_active_before_phase():
df = calculate_per_user_ai_cost(
CTM_DEFAULT_SITES, _scope("AI Translate", phase=3),
DEFAULT_METERS["AI Translate"], DEFAULT_PRICING, year=2,
def test_ai_translate_not_active_before_phase():
"""AI Translate (consumption meter) produces zero cost before its phase."""
scenario = get_scenario("realistic")
apac_sites = [s.site_name for s in CTM_DEFAULT_SITES if s.region_pricing == "APAC"]
df = calculate_consumption_ai_cost(
CTM_DEFAULT_SITES,
_scope("AI Translate", apac_sites, phase=3),
DEFAULT_METERS["AI Translate"], scenario, DEFAULT_PRICING, year=2,
)
assert df["annual_cost"].sum() == 0
@@ -63,7 +67,7 @@ def test_copilot_covers_supervisor_summary():
total = calculate_total_cost(
CTM_DEFAULT_SITES,
[
_scope("Agent Copilot"),
_scope("Agent Copilot [named]"),
_scope("AI Summary & Insights"),
],
DEFAULT_METERS, DEFAULT_PRICING, scenario, year=1,
@@ -111,8 +115,8 @@ def test_regional_pricing_not_hardcoded():
pricing["APAC"] = TokenPricing(region="APAC", list_rate_per_token=2.0)
apac_site = next(s for s in CTM_DEFAULT_SITES if s.region_pricing == "APAC")
df = calculate_per_user_ai_cost(
[apac_site], _scope("Speech & Text Analytics", [apac_site.site_name]),
DEFAULT_METERS["Speech & Text Analytics"], pricing,
[apac_site], _scope("Speech & Text Analytics [named]", [apac_site.site_name]),
DEFAULT_METERS["Speech & Text Analytics [named]"], pricing,
)
expected = apac_site.named_users * 30 * 12 * 2.0
assert df["annual_cost"].sum() == pytest.approx(expected)