});

});

it("counts token usage for an unpriced (all-zero cost) model as missing, not a confident $0", async () => {

const root = await makeSessionCostRoot("cost-unknown-pricing");

const sessionsDir = path.join(root, "agents", "main", "sessions");

await fs.mkdir(sessionsDir, { recursive: true });

// A real assistant turn that burned tokens. The transport recorded cost.total: 0,

// derived from the model's all-zero catalog pricing — exactly what codex/gpt-5.x

// models produce, since the Codex backend exposes no per-token price.

const entry = {

type: "message",

timestamp: new Date().toISOString(),

message: {

role: "assistant",

provider: "openai",

model: "gpt-5.5",

usage: {

input: 881,

output: 6,

cacheRead: 22400,

cacheWrite: 0,

totalTokens: 23287,

cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },

},

},

};

await fs.writeFile(

path.join(sessionsDir, "sess-1.jsonl"),

transcriptText("sess-1", entry),

"utf-8",

);

// The model resolves to an all-zero cost config, i.e. its pricing is unknown.

const config = {

models: {

providers: {

openai: {

models: [

{

id: "gpt-5.5",

cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },

},

],

},

},

},

} as unknown as OpenClawConfig;

await withStateDir(root, async () => {

const summary = await loadCostUsageSummary({ days: 30, config });

expect(summary.totals.totalTokens).toBe(23287);

expect(summary.totals.totalCost).toBe(0);

// Unknown pricing must be surfaced as missing rather than reported as a

// confident $0 that would blind budget/spike monitoring to real spend.

expect(summary.totals.missingCostEntries).toBe(1);

});

});

it("ignores compaction checkpoint transcript snapshots in daily totals and discovery", async () => {

const root = await makeSessionCostRoot("cost-checkpoint");

const sessionsDir = path.join(root, "agents", "main", "sessions");