mirror of
https://github.com/RooVetGit/Roo-Code.git
synced 2026-09-07 08:26:51 +00:00
193 lines
6.3 KiB
TypeScript
193 lines
6.3 KiB
TypeScript
// npx vitest utils/__tests__/cost.spec.ts
|
|
|
|
import type { ModelInfo } from "@roo-code/types"
|
|
|
|
import { calculateApiCostAnthropic, calculateApiCostOpenAI } from "../../shared/cost"
|
|
|
|
describe("Cost Utility", () => {
|
|
describe("calculateApiCostAnthropic", () => {
|
|
const mockModelInfo: ModelInfo = {
|
|
maxTokens: 8192,
|
|
contextWindow: 200_000,
|
|
supportsPromptCache: true,
|
|
inputPrice: 3.0, // $3 per million tokens
|
|
outputPrice: 15.0, // $15 per million tokens
|
|
cacheWritesPrice: 3.75, // $3.75 per million tokens
|
|
cacheReadsPrice: 0.3, // $0.30 per million tokens
|
|
}
|
|
|
|
it("should calculate basic input/output costs correctly", () => {
|
|
const cost = calculateApiCostAnthropic(mockModelInfo, 1000, 500)
|
|
|
|
// Input cost: (3.0 / 1_000_000) * 1000 = 0.003
|
|
// Output cost: (15.0 / 1_000_000) * 500 = 0.0075
|
|
// Total: 0.003 + 0.0075 = 0.0105
|
|
expect(cost).toBe(0.0105)
|
|
})
|
|
|
|
it("should handle cache writes cost", () => {
|
|
const cost = calculateApiCostAnthropic(mockModelInfo, 1000, 500, 2000)
|
|
|
|
// Input cost: (3.0 / 1_000_000) * 1000 = 0.003
|
|
// Output cost: (15.0 / 1_000_000) * 500 = 0.0075
|
|
// Cache writes: (3.75 / 1_000_000) * 2000 = 0.0075
|
|
// Total: 0.003 + 0.0075 + 0.0075 = 0.018
|
|
expect(cost).toBeCloseTo(0.018, 6)
|
|
})
|
|
|
|
it("should handle cache reads cost", () => {
|
|
const cost = calculateApiCostAnthropic(mockModelInfo, 1000, 500, undefined, 3000)
|
|
|
|
// Input cost: (3.0 / 1_000_000) * 1000 = 0.003
|
|
// Output cost: (15.0 / 1_000_000) * 500 = 0.0075
|
|
// Cache reads: (0.3 / 1_000_000) * 3000 = 0.0009
|
|
// Total: 0.003 + 0.0075 + 0.0009 = 0.0114
|
|
expect(cost).toBe(0.0114)
|
|
})
|
|
|
|
it("should handle all cost components together", () => {
|
|
const cost = calculateApiCostAnthropic(mockModelInfo, 1000, 500, 2000, 3000)
|
|
|
|
// Input cost: (3.0 / 1_000_000) * 1000 = 0.003
|
|
// Output cost: (15.0 / 1_000_000) * 500 = 0.0075
|
|
// Cache writes: (3.75 / 1_000_000) * 2000 = 0.0075
|
|
// Cache reads: (0.3 / 1_000_000) * 3000 = 0.0009
|
|
// Total: 0.003 + 0.0075 + 0.0075 + 0.0009 = 0.0189
|
|
expect(cost).toBe(0.0189)
|
|
})
|
|
|
|
it("should handle missing prices gracefully", () => {
|
|
const modelWithoutPrices: ModelInfo = {
|
|
maxTokens: 8192,
|
|
contextWindow: 200_000,
|
|
supportsPromptCache: true,
|
|
}
|
|
|
|
const cost = calculateApiCostAnthropic(modelWithoutPrices, 1000, 500, 2000, 3000)
|
|
expect(cost).toBe(0)
|
|
})
|
|
|
|
it("should handle zero tokens", () => {
|
|
const cost = calculateApiCostAnthropic(mockModelInfo, 0, 0, 0, 0)
|
|
expect(cost).toBe(0)
|
|
})
|
|
|
|
it("should handle undefined cache values", () => {
|
|
const cost = calculateApiCostAnthropic(mockModelInfo, 1000, 500)
|
|
|
|
// Input cost: (3.0 / 1_000_000) * 1000 = 0.003
|
|
// Output cost: (15.0 / 1_000_000) * 500 = 0.0075
|
|
// Total: 0.003 + 0.0075 = 0.0105
|
|
expect(cost).toBe(0.0105)
|
|
})
|
|
|
|
it("should handle missing cache prices", () => {
|
|
const modelWithoutCachePrices: ModelInfo = {
|
|
...mockModelInfo,
|
|
cacheWritesPrice: undefined,
|
|
cacheReadsPrice: undefined,
|
|
}
|
|
|
|
const cost = calculateApiCostAnthropic(modelWithoutCachePrices, 1000, 500, 2000, 3000)
|
|
|
|
// Should only include input and output costs
|
|
// Input cost: (3.0 / 1_000_000) * 1000 = 0.003
|
|
// Output cost: (15.0 / 1_000_000) * 500 = 0.0075
|
|
// Total: 0.003 + 0.0075 = 0.0105
|
|
expect(cost).toBe(0.0105)
|
|
})
|
|
})
|
|
|
|
describe("calculateApiCostOpenAI", () => {
|
|
const mockModelInfo: ModelInfo = {
|
|
maxTokens: 8192,
|
|
contextWindow: 200_000,
|
|
supportsPromptCache: true,
|
|
inputPrice: 3.0, // $3 per million tokens
|
|
outputPrice: 15.0, // $15 per million tokens
|
|
cacheWritesPrice: 3.75, // $3.75 per million tokens
|
|
cacheReadsPrice: 0.3, // $0.30 per million tokens
|
|
}
|
|
|
|
it("should calculate basic input/output costs correctly", () => {
|
|
const cost = calculateApiCostOpenAI(mockModelInfo, 1000, 500)
|
|
|
|
// Input cost: (3.0 / 1_000_000) * 1000 = 0.003
|
|
// Output cost: (15.0 / 1_000_000) * 500 = 0.0075
|
|
// Total: 0.003 + 0.0075 = 0.0105
|
|
expect(cost).toBe(0.0105)
|
|
})
|
|
|
|
it("should handle cache writes cost", () => {
|
|
const cost = calculateApiCostOpenAI(mockModelInfo, 3000, 500, 2000)
|
|
|
|
// Input cost: (3.0 / 1_000_000) * (3000 - 2000) = 0.003
|
|
// Output cost: (15.0 / 1_000_000) * 500 = 0.0075
|
|
// Cache writes: (3.75 / 1_000_000) * 2000 = 0.0075
|
|
// Total: 0.003 + 0.0075 + 0.0075 = 0.018
|
|
expect(cost).toBeCloseTo(0.018, 6)
|
|
})
|
|
|
|
it("should handle cache reads cost", () => {
|
|
const cost = calculateApiCostOpenAI(mockModelInfo, 4000, 500, undefined, 3000)
|
|
|
|
// Input cost: (3.0 / 1_000_000) * (4000 - 3000) = 0.003
|
|
// Output cost: (15.0 / 1_000_000) * 500 = 0.0075
|
|
// Cache reads: (0.3 / 1_000_000) * 3000 = 0.0009
|
|
// Total: 0.003 + 0.0075 + 0.0009 = 0.0114
|
|
expect(cost).toBe(0.0114)
|
|
})
|
|
|
|
it("should handle all cost components together", () => {
|
|
const cost = calculateApiCostOpenAI(mockModelInfo, 6000, 500, 2000, 3000)
|
|
|
|
// Input cost: (3.0 / 1_000_000) * (6000 - 2000 - 3000) = 0.003
|
|
// Output cost: (15.0 / 1_000_000) * 500 = 0.0075
|
|
// Cache writes: (3.75 / 1_000_000) * 2000 = 0.0075
|
|
// Cache reads: (0.3 / 1_000_000) * 3000 = 0.0009
|
|
// Total: 0.003 + 0.0075 + 0.0075 + 0.0009 = 0.0189
|
|
expect(cost).toBe(0.0189)
|
|
})
|
|
|
|
it("should handle missing prices gracefully", () => {
|
|
const modelWithoutPrices: ModelInfo = {
|
|
maxTokens: 8192,
|
|
contextWindow: 200_000,
|
|
supportsPromptCache: true,
|
|
}
|
|
|
|
const cost = calculateApiCostOpenAI(modelWithoutPrices, 1000, 500, 2000, 3000)
|
|
expect(cost).toBe(0)
|
|
})
|
|
|
|
it("should handle zero tokens", () => {
|
|
const cost = calculateApiCostOpenAI(mockModelInfo, 0, 0, 0, 0)
|
|
expect(cost).toBe(0)
|
|
})
|
|
|
|
it("should handle undefined cache values", () => {
|
|
const cost = calculateApiCostOpenAI(mockModelInfo, 1000, 500)
|
|
|
|
// Input cost: (3.0 / 1_000_000) * 1000 = 0.003
|
|
// Output cost: (15.0 / 1_000_000) * 500 = 0.0075
|
|
// Total: 0.003 + 0.0075 = 0.0105
|
|
expect(cost).toBe(0.0105)
|
|
})
|
|
|
|
it("should handle missing cache prices", () => {
|
|
const modelWithoutCachePrices: ModelInfo = {
|
|
...mockModelInfo,
|
|
cacheWritesPrice: undefined,
|
|
cacheReadsPrice: undefined,
|
|
}
|
|
|
|
const cost = calculateApiCostOpenAI(modelWithoutCachePrices, 6000, 500, 2000, 3000)
|
|
|
|
// Should only include input and output costs
|
|
// Input cost: (3.0 / 1_000_000) * (6000 - 2000 - 3000) = 0.003
|
|
// Output cost: (15.0 / 1_000_000) * 500 = 0.0075
|
|
// Total: 0.003 + 0.0075 = 0.0105
|
|
expect(cost).toBe(0.0105)
|
|
})
|
|
})
|
|
})
|