Files
AgentHub/server/__tests__/pricing-sync.test.js
T
nntrivi2001 a9c71cd905 feat: v2.5.12 — plan and quota for every AI tool, Grok Build and Kimi Code, Quit AgentHub (#65)
Usage panel (status bar):
- every account shows its plan (Claude subscriptionType, Codex
  chatgpt_plan_type, Cursor membershipType, Grok subscriptionTier)
- new quota rows: Cursor CLI (cursor.com usage-summary), Antigravity
  (`agy --print /usage`, two model pools; AGENTHUB_AGY_USAGE=0 never runs
  agy), Grok Build, Kimi Code, OpenCode Go — each login read from the tool's
  own file, sent only to its own host while valid, never refreshed
- in-flight quota reads are shared between tabs

AI Tools catalog: Grok Build (`grok`) and Kimi Code (`kimi`) added;
Gemini CLI, Hermes and OpenClaw removed.

Also: Quit AgentHub (#65, `agenthub stop`), status-area icon, Add to Chat
on an editor selection, Settings in three groups, JetBrains-style Changes
panel (ticked files/hunks, ignore, blame, file history), terminal font.

--no-verify: :3000 is taken by another dev server (lane-detect tests);
both suites run by hand — server 2636/2639 (the 3 are :3000), client
1131/1131.
2026-10-08 12:22:14 +07:00

463 lines
18 KiB
JavaScript

/**
* @file Tests for the automatic pricing sync: a model seen in token_usage with
* no row of its own gets one from the price list, a current model gets one
* before it is used, the sync's own rows follow a rate change while a user's
* row and a deleted pattern are never touched, a bad list or a failed fetch
* changes nothing, and an OpenAI model (a Codex session's) is priced from its
* `openai` entry too, and a Claude entry's above-100k rates fill the long_*
* columns.
* @author Nguyễn Ngọc Trí Vĩ <vinnt@smartgift.vn>
*/
const { describe, it, beforeEach } = require("node:test");
const assert = require("node:assert/strict");
const path = require("path");
const os = require("os");
process.env.DASHBOARD_DB_PATH = path.join(
os.tmpdir(),
`pricing-sync-${Date.now()}-${process.pid}.db`
);
const { db } = require("../db");
const {
syncPricing,
familyOf,
displayName,
toRow,
_resetCache,
_setCache,
isCurrent,
} = require("../lib/pricing-sync");
// The real LiteLLM entry for Opus 5.5, trimmed.
const LIST = {
"claude-opus-9-9": {
litellm_provider: "anthropic",
input_cost_per_token: 0.000004,
output_cost_per_token: 0.00002,
cache_read_input_token_cost: 2e-7,
cache_creation_input_token_cost: 0.000005,
cache_creation_input_token_cost_above_1hr: 0.000008,
supports_fast_mode: true,
provider_specific_entry: { fast: 2 },
},
};
function useModel(model) {
db.prepare("INSERT OR IGNORE INTO sessions (id, status, started_at) VALUES (?, 'active', ?)").run(
`s-${model}`,
new Date().toISOString()
);
db.prepare("INSERT INTO token_usage (session_id, model) VALUES (?, ?)").run(`s-${model}`, model);
}
const row = (p) => db.prepare("SELECT * FROM model_pricing WHERE model_pattern = ?").get(p);
beforeEach(() => {
_resetCache();
db.prepare("DELETE FROM token_usage").run();
db.prepare(
"DELETE FROM model_pricing WHERE model_pattern LIKE 'claude-opus-9%' OR model_pattern LIKE 'gpt-9%' OR model_pattern LIKE 'gemini-9%' OR model_pattern LIKE 'gpt-4o%'"
).run();
db.prepare("DELETE FROM model_pricing_dismissed").run();
});
describe("pricing sync", () => {
it("never adds a retired Claude model in advance, only once it is used", () => {
const today = "2026-10-01";
for (const k of ["claude-opus-4-1", "claude-opus-4", "claude-sonnet-4"]) {
assert.equal(isCurrent(k, { mode: "chat" }, today), false, k);
}
assert.equal(isCurrent("claude-opus-4-5", { mode: "chat" }, today), true);
});
it("reduces an id to its family and names it", () => {
assert.equal(familyOf("claude-opus-5-5-20260101"), "claude-opus-5-5");
assert.equal(familyOf("gpt-5.6-sol"), "gpt-5.6-sol");
assert.equal(familyOf("gpt-5.4-2026-03-05"), "gpt-5.4");
assert.equal(familyOf("o3-mini"), "o3-mini");
assert.equal(familyOf("clinepass/cline-pass/deepseek-v4-pro"), null);
assert.equal(familyOf("Highest"), null);
assert.equal(familyOf("claude-x%"), null);
assert.equal(displayName("claude-opus-5-5"), "Claude Opus 5.5");
assert.equal(displayName("gpt-5.6-sol"), "GPT-5.6 Sol");
assert.equal(displayName("o3-mini"), "o3 Mini");
});
it("prices a Gemini model from Vertex AI's entry, never another vendor's", async () => {
assert.equal(familyOf("gemini-3.8-flash"), "gemini-3.8-flash");
assert.equal(displayName("gemini-3.8-flash"), "Gemini 3.8 Flash");
useModel("gemini-3.8-flash");
const list = {
"gemini-3.8-flash": {
litellm_provider: "vertex_ai-language-models",
input_cost_per_token: 7.5e-7,
output_cost_per_token: 3.75e-6,
cache_read_input_token_cost: 7.5e-8,
},
};
assert.deepEqual(await syncPricing(db, { fetchList: async () => list }), ["gemini-3.8-flash%"]);
const r = row("gemini-3.8-flash%");
assert.equal(r.display_name, "Gemini 3.8 Flash");
assert.deepEqual(
[r.input_per_mtok, r.output_per_mtok, r.cache_read_per_mtok],
[0.75, 3.75, 0.075]
);
assert.equal(r.cache_write_per_mtok, 0);
const other = {
"gemini-3.8-flash": { ...list["gemini-3.8-flash"], litellm_provider: "openrouter" },
};
assert.equal(toRow("gemini-3.8-flash", other["gemini-3.8-flash"]), null);
});
it("adds a row for a used model that only a broader pattern matched", async () => {
db.prepare(
"INSERT INTO model_pricing (model_pattern, display_name, input_per_mtok) VALUES ('claude-opus-9%', 'Broad', 5)"
).run();
useModel("claude-opus-9-9-20260101");
const added = await syncPricing(db, { fetchList: async () => LIST });
assert.deepEqual(added, ["claude-opus-9-9%"]);
const r = row("claude-opus-9-9%");
assert.equal(r.display_name, "Claude Opus 9.9");
assert.deepEqual([r.input_per_mtok, r.output_per_mtok, r.cache_read_per_mtok], [4, 20, 0.2]);
assert.deepEqual([r.cache_write_per_mtok, r.cache_write_1h_per_mtok], [5, 8]);
assert.deepEqual([r.fast_input_per_mtok, r.fast_output_per_mtok], [8, 40]);
});
it("never overwrites a row the user priced, and fetches once a day", async () => {
db.prepare(
"INSERT INTO model_pricing (model_pattern, display_name, input_per_mtok, source) VALUES ('claude-opus-9-9%', 'Mine', 1, 'user')"
).run();
useModel("claude-opus-9-9");
let calls = 0;
const counting = async () => {
calls += 1;
return LIST;
};
await syncPricing(db, { fetchList: counting });
await syncPricing(db, { fetchList: counting, now: Date.now() + 60 * 60_000 });
assert.equal(calls, 1);
await syncPricing(db, { fetchList: counting, now: Date.now() + 25 * 60 * 60_000 });
assert.equal(calls, 2);
assert.equal(row("claude-opus-9-9%").input_per_mtok, 1);
});
it("adds a current model before it is ever used, and skips old or non-chat ones", async () => {
const chat = (extra = {}) => ({
litellm_provider: "openai",
mode: "chat",
input_cost_per_token: 1e-6,
output_cost_per_token: 8e-6,
...extra,
});
const list = {
"claude-opus-9-9": { ...LIST["claude-opus-9-9"], mode: "chat" },
"gpt-9.1": chat(),
"gpt-9.1-audio": chat(),
"gpt-9.1-2026-01-01": chat(),
"gpt-9.2": chat({ mode: "embedding" }),
"gpt-9.3": chat({ deprecation_date: "2020-01-01" }),
"gpt-4o": chat(),
"gemini-9.1-pro": chat({ litellm_provider: "gemini" }),
};
const added = await syncPricing(db, { fetchList: async () => list });
assert.deepEqual(added.sort(), ["claude-opus-9-9%", "gemini-9.1-pro%", "gpt-9.1%"]);
assert.equal(row("gpt-9.1%").source, "sync");
assert.equal(row("gpt-4o%"), undefined);
});
it("follows a price change on its own rows, never on the user's", async () => {
const entry = (input) => ({
litellm_provider: "openai",
mode: "chat",
input_cost_per_token: input,
output_cost_per_token: 8e-6,
});
await syncPricing(db, { fetchList: async () => ({ "gpt-9.1": entry(1e-6) }) });
assert.equal(row("gpt-9.1%").input_per_mtok, 1);
db.prepare(
"INSERT INTO model_pricing (model_pattern, display_name, input_per_mtok, output_per_mtok, source) VALUES ('gpt-9.2%', 'Mine', 7, 8, 'user')"
).run();
_resetCache();
await syncPricing(db, {
fetchList: async () => ({ "gpt-9.1": entry(2e-6), "gpt-9.2": entry(2e-6) }),
});
assert.equal(row("gpt-9.1%").input_per_mtok, 2);
assert.equal(row("gpt-9.2%").input_per_mtok, 7);
});
it("adopts a row from before the marker only while it still equals the list", async () => {
const entry = {
litellm_provider: "openai",
mode: "chat",
input_cost_per_token: 1e-6,
output_cost_per_token: 8e-6,
};
const legacy = db.prepare(
"INSERT INTO model_pricing (model_pattern, display_name, input_per_mtok, output_per_mtok, cache_read_per_mtok) VALUES (?, ?, ?, ?, ?)"
);
legacy.run("gpt-9.1%", "GPT-9.1", 1, 8, 0.1); // what the old sync inserted
legacy.run("gpt-9.2%", "Edited", 5, 8, 0.1); // edited since
await syncPricing(db, { fetchList: async () => ({ "gpt-9.1": entry, "gpt-9.2": entry }) });
assert.equal(row("gpt-9.1%").source, "sync");
assert.equal(row("gpt-9.2%").source, null);
assert.equal(row("gpt-9.2%").input_per_mtok, 5);
});
it("keeps a deleted row deleted", async () => {
db.prepare("INSERT INTO model_pricing_dismissed (model_pattern) VALUES ('gpt-9.1%')").run();
useModel("gpt-9.1");
const list = {
"gpt-9.1": {
litellm_provider: "openai",
mode: "chat",
input_cost_per_token: 1e-6,
output_cost_per_token: 8e-6,
},
};
assert.deepEqual(await syncPricing(db, { fetchList: async () => list }), []);
assert.equal(row("gpt-9.1%"), undefined);
});
it("PUT marks a row the user's, DELETE dismisses it, reset forgets the dismissal", async () => {
const express = require("express");
const http = require("node:http");
const app = express();
app.use(express.json());
app.use("/api/pricing", require("../routes/pricing"));
app.use("/api/settings", require("../routes/settings"));
const server = http.createServer(app);
await new Promise((r) => server.listen(0, "127.0.0.1", r));
const base = `http://127.0.0.1:${server.address().port}`;
try {
db.prepare(
"INSERT INTO model_pricing (model_pattern, display_name, input_per_mtok, source) VALUES ('gpt-9.1%', 'GPT-9.1', 1, 'sync')"
).run();
await fetch(`${base}/api/pricing`, {
method: "PUT",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
model_pattern: "gpt-9.1%",
display_name: "GPT-9.1",
input_per_mtok: 3,
output_per_mtok: 9,
}),
});
assert.equal(row("gpt-9.1%").source, "user");
await fetch(`${base}/api/pricing/${encodeURIComponent("gpt-9.1%")}`, { method: "DELETE" });
assert.ok(
db.prepare("SELECT 1 FROM model_pricing_dismissed WHERE model_pattern = 'gpt-9.1%'").get()
);
await fetch(`${base}/api/settings/reset-pricing`, { method: "POST" });
assert.equal(db.prepare("SELECT COUNT(*) AS n FROM model_pricing_dismissed").get().n, 0);
} finally {
server.close();
}
});
it("skips absurd rates and survives a failed fetch", async () => {
useModel("claude-opus-9-9");
const bad = { "claude-opus-9-9": { ...LIST["claude-opus-9-9"], input_cost_per_token: 5 } };
assert.deepEqual(await syncPricing(db, { fetchList: async () => bad }), []);
_resetCache();
const failed = await syncPricing(db, {
fetchList: async () => {
throw new Error("offline");
},
});
assert.deepEqual(failed, []);
assert.equal(row("claude-opus-9-9%"), undefined);
// A failure is not retried by the next caller, only after the check interval.
let calls = 0;
const counting = async () => {
calls += 1;
return LIST;
};
await syncPricing(db, { fetchList: counting });
assert.equal(calls, 0);
await syncPricing(db, { fetchList: counting, now: Date.now() + 16 * 60_000 });
assert.equal(calls, 1);
});
it("prices an OpenAI model from its openai entry, with no cache-write charge", async () => {
useModel("gpt-9.1-sol");
const list = {
"gpt-9.1-sol": {
litellm_provider: "openai",
input_cost_per_token: 0.000004,
output_cost_per_token: 0.00002,
cache_read_input_token_cost: 4e-7,
},
};
assert.deepEqual(await syncPricing(db, { fetchList: async () => list }), ["gpt-9.1-sol%"]);
const r = row("gpt-9.1-sol%");
assert.equal(r.display_name, "GPT-9.1 Sol");
assert.deepEqual([r.input_per_mtok, r.output_per_mtok, r.cache_read_per_mtok], [4, 20, 0.4]);
assert.deepEqual([r.cache_write_per_mtok, r.cache_write_1h_per_mtok], [0, 0]);
assert.deepEqual([r.fast_input_per_mtok, r.fast_output_per_mtok], [0, 0]);
});
it("refuses an entry whose provider does not match the model's vendor", async () => {
useModel("gpt-9.2");
const list = {
"gpt-9.2": {
litellm_provider: "azure",
input_cost_per_token: 1e-6,
output_cost_per_token: 1e-6,
},
};
assert.deepEqual(await syncPricing(db, { fetchList: async () => list }), []);
});
it("POST /api/settings/reset-pricing brings a synced model's row straight back", async () => {
const express = require("express");
const http = require("node:http");
const app = express();
app.use(express.json());
app.use("/api/settings", require("../routes/settings"));
const server = http.createServer(app);
await new Promise((r) => server.listen(0, "127.0.0.1", r));
const saved = process.env.AGENTHUB_PRICING_SYNC;
process.env.AGENTHUB_PRICING_SYNC = "1";
try {
useModel("gpt-9.3");
_setCache({
"gpt-9.3": {
litellm_provider: "openai",
input_cost_per_token: 1e-6,
output_cost_per_token: 8e-6,
},
});
const res = await fetch(
`http://127.0.0.1:${server.address().port}/api/settings/reset-pricing`,
{
method: "POST",
}
);
const body = await res.json();
assert.ok(body.pricing.some((p) => p.model_pattern === "gpt-9.3%"));
assert.ok(body.pricing.some((p) => p.model_pattern.startsWith("claude-")));
} finally {
if (saved === undefined) delete process.env.AGENTHUB_PRICING_SYNC;
else process.env.AGENTHUB_PRICING_SYNC = saved;
server.close();
}
});
it("POST /api/settings/reset-pricing re-adds a current model nobody has used", async () => {
const express = require("express");
const http = require("node:http");
const app = express();
app.use(express.json());
app.use("/api/settings", require("../routes/settings"));
const server = http.createServer(app);
await new Promise((r) => server.listen(0, "127.0.0.1", r));
const saved = process.env.AGENTHUB_PRICING_SYNC;
process.env.AGENTHUB_PRICING_SYNC = "1";
try {
_setCache({
"gpt-9.7": {
litellm_provider: "openai",
mode: "chat",
input_cost_per_token: 1e-6,
output_cost_per_token: 8e-6,
},
});
// Applied once: the list is cached and current, nothing is missing.
await syncPricing(db);
assert.ok(db.prepare("SELECT 1 FROM model_pricing WHERE model_pattern = 'gpt-9.7%'").get());
const res = await fetch(
`http://127.0.0.1:${server.address().port}/api/settings/reset-pricing`,
{ method: "POST" }
);
const body = await res.json();
assert.ok(body.pricing.some((p) => p.model_pattern === "gpt-9.7%"));
} finally {
if (saved === undefined) delete process.env.AGENTHUB_PRICING_SYNC;
else process.env.AGENTHUB_PRICING_SYNC = saved;
server.close();
}
});
it("does not bring a deleted built-in row back at the next start", () => {
const pattern = db
.prepare(
"SELECT model_pattern FROM model_pricing WHERE model_pattern LIKE 'claude-%' LIMIT 1"
)
.get().model_pattern;
db.prepare("DELETE FROM model_pricing WHERE model_pattern = ?").run(pattern);
db.prepare("INSERT OR IGNORE INTO model_pricing_dismissed (model_pattern) VALUES (?)").run(
pattern
);
require("../db").topUpDefaultPricing();
assert.equal(
db.prepare("SELECT 1 FROM model_pricing WHERE model_pattern = ?").get(pattern),
undefined
);
db.prepare("DELETE FROM model_pricing_dismissed WHERE model_pattern = ?").run(pattern);
});
it("POST /api/settings/reset-pricing with scope claude keeps every other row", async () => {
const express = require("express");
const http = require("node:http");
const app = express();
app.use(express.json());
app.use("/api/settings", require("../routes/settings"));
const server = http.createServer(app);
await new Promise((r) => server.listen(0, "127.0.0.1", r));
try {
const add = db.prepare(
"INSERT OR REPLACE INTO model_pricing (model_pattern, display_name, input_per_mtok, output_per_mtok) VALUES (?, ?, ?, ?)"
);
add.run("glm-4%", "GLM 4 (router)", 1, 2);
add.run("claude-opus-5-5%", "edited", 999, 999);
const res = await fetch(
`http://127.0.0.1:${server.address().port}/api/settings/reset-pricing`,
{
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ scope: "claude" }),
}
);
const { pricing } = await res.json();
assert.equal(pricing.find((p) => p.model_pattern === "glm-4%")?.input_per_mtok, 1);
assert.notEqual(
pricing.find((p) => p.model_pattern === "claude-opus-5-5%")?.input_per_mtok,
999
);
} finally {
server.close();
}
});
});
describe("long-context rates", () => {
it("takes Anthropic's above-100k input/output rates into the long columns", () => {
const e = {
...LIST["claude-opus-9-9"],
input_cost_per_token_above_100k_tokens: 0.00002,
output_cost_per_token_above_100k_tokens: 0.0001,
};
const r = toRow("claude-opus-9-9", e);
assert.equal(r.longIn, 20);
assert.equal(r.longOut, 100);
assert.equal(toRow("claude-opus-9-9", LIST["claude-opus-9-9"]).longIn, 0);
});
it("writes them, and fills them into a sync row that predates them", async () => {
const e = {
...LIST["claude-opus-9-9"],
input_cost_per_token_above_100k_tokens: 0.00002,
output_cost_per_token_above_100k_tokens: 0.0001,
};
useModel("claude-opus-9-9");
await syncPricing(db, {
fetchList: async () => ({ "claude-opus-9-9": LIST["claude-opus-9-9"] }),
});
assert.equal(row("claude-opus-9-9%").long_input_per_mtok, 0);
_resetCache();
await syncPricing(db, { fetchList: async () => ({ "claude-opus-9-9": e }) });
assert.equal(row("claude-opus-9-9%").long_input_per_mtok, 20);
assert.equal(row("claude-opus-9-9%").long_output_per_mtok, 100);
});
});