anthropic 1h cache writes were billed at the 5m rate; split the bucket and price the 1h portion correctly
87 lines
3.3 KiB
TypeScript
87 lines
3.3 KiB
TypeScript
import type Anthropic from "@anthropic-ai/sdk";
|
|
import { describe, expect, it } from "vitest";
|
|
import { getModel } from "../src/models.ts";
|
|
import { streamAnthropic } from "../src/providers/anthropic.ts";
|
|
import type { Context } from "../src/types.ts";
|
|
|
|
function createSseResponse(events: Array<{ event: string; data: string }>): Response {
|
|
const body = events.map(({ event, data }) => `event: ${event}\ndata: ${data}\n`).join("\n");
|
|
return new Response(body, { status: 200, headers: { "content-type": "text/event-stream" } });
|
|
}
|
|
|
|
function createFakeAnthropicClient(response: Response): Anthropic {
|
|
return {
|
|
messages: { create: () => ({ asResponse: async () => response }) },
|
|
} as unknown as Anthropic;
|
|
}
|
|
|
|
function eventsWithCacheCreation(
|
|
cacheCreation: Record<string, number> | undefined,
|
|
): Array<{ event: string; data: string }> {
|
|
const startUsage: Record<string, unknown> = {
|
|
input_tokens: 100,
|
|
output_tokens: 0,
|
|
cache_read_input_tokens: 0,
|
|
cache_creation_input_tokens: 1_000_000,
|
|
};
|
|
if (cacheCreation) startUsage.cache_creation = cacheCreation;
|
|
return [
|
|
{
|
|
event: "message_start",
|
|
data: JSON.stringify({ type: "message_start", message: { id: "msg_test", usage: startUsage } }),
|
|
},
|
|
{
|
|
event: "content_block_start",
|
|
data: JSON.stringify({ type: "content_block_start", index: 0, content_block: { type: "text", text: "" } }),
|
|
},
|
|
{
|
|
event: "content_block_delta",
|
|
data: JSON.stringify({ type: "content_block_delta", index: 0, delta: { type: "text_delta", text: "Hi" } }),
|
|
},
|
|
{ event: "content_block_stop", data: JSON.stringify({ type: "content_block_stop", index: 0 }) },
|
|
{
|
|
event: "message_delta",
|
|
data: JSON.stringify({
|
|
type: "message_delta",
|
|
delta: { stop_reason: "end_turn" },
|
|
usage: {
|
|
input_tokens: 100,
|
|
output_tokens: 5,
|
|
cache_read_input_tokens: 0,
|
|
cache_creation_input_tokens: 1_000_000,
|
|
},
|
|
}),
|
|
},
|
|
{ event: "message_stop", data: JSON.stringify({ type: "message_stop" }) },
|
|
];
|
|
}
|
|
|
|
// claude-opus-4-8: input 5, cacheWrite (5m) 6.25 per Mtok. 1h write = 2x input = 10.
|
|
const context: Context = { messages: [{ role: "user", content: "hi", timestamp: Date.now() }] };
|
|
|
|
describe("Anthropic 1h cache write cost", () => {
|
|
it("prices the 1h portion at 2x input and the rest at the 5m rate", async () => {
|
|
const model = getModel("anthropic", "claude-opus-4-8");
|
|
const response = createSseResponse(
|
|
eventsWithCacheCreation({ ephemeral_5m_input_tokens: 600_000, ephemeral_1h_input_tokens: 400_000 }),
|
|
);
|
|
const result = await streamAnthropic(model, context, { client: createFakeAnthropicClient(response) }).result();
|
|
|
|
expect(result.usage.cacheWrite).toBe(1_000_000);
|
|
expect(result.usage.cacheWrite1h).toBe(400_000);
|
|
// 600k * 6.25/Mtok + 400k * 10/Mtok = 3.75 + 4.0 = 7.75
|
|
expect(result.usage.cost.cacheWrite).toBeCloseTo(7.75, 10);
|
|
});
|
|
|
|
it("falls back to the 5m rate when no breakdown is reported", async () => {
|
|
const model = getModel("anthropic", "claude-opus-4-8");
|
|
const response = createSseResponse(eventsWithCacheCreation(undefined));
|
|
const result = await streamAnthropic(model, context, { client: createFakeAnthropicClient(response) }).result();
|
|
|
|
expect(result.usage.cacheWrite).toBe(1_000_000);
|
|
expect(result.usage.cacheWrite1h ?? 0).toBe(0);
|
|
// 1M * 6.25/Mtok = 6.25
|
|
expect(result.usage.cost.cacheWrite).toBeCloseTo(6.25, 10);
|
|
});
|
|
});
|