Files
windmill/ai_evals/core/results.test.ts
centdix 3f5f211a22 add final context size metric to ai_evals harness (#9660)
Record finalContextTokens per attempt: the input-token total of the last
model request (input + cache-creation + cache-read), i.e. how full the
context window ended up. Complements the cumulative tokenUsage.prompt,
which conflates context size with loop-iteration count.

Captured generically in the shared frontend runEval via the chat loop's
lastIterationUsage, so it covers all frontend modes (global/flow/script/
app), plus CLI mode via the last assistant turn's usage. Aggregated as
average and max over passed attempts and printed in the run summary.

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-18 23:21:28 +02:00

308 lines
9.2 KiB
TypeScript

import { mkdtemp, readFile, rm } from "node:fs/promises";
import { join } from "node:path";
import { tmpdir } from "node:os";
import { describe, expect, it } from "bun:test";
import {
appendHistoryRecord,
buildRunResult,
formatRunSummary,
} from "./results";
import type { BenchmarkCaseResult } from "./types";
function caseResult(
attempts: BenchmarkCaseResult["attempts"],
): BenchmarkCaseResult {
return {
id: "case-1",
prompt: "Do the thing",
attempts,
};
}
describe("benchmark results", () => {
it("keeps success cost metrics separate from failed attempts", () => {
const result = buildRunResult({
mode: "global",
runs: 1,
runModel: "model-under-test",
judgeModel: "judge-model",
caseResults: [
caseResult([
{
attempt: 1,
passed: true,
durationMs: 1000,
assistantMessageCount: 1,
toolCallCount: 1,
toolsUsed: ["edit_script"],
skillsInvoked: [],
checks: [{ name: "edited", passed: true }],
judgeScore: 100,
judgeSummary: "ok",
error: null,
tokenUsage: { prompt: 100, completion: 20, total: 120 },
},
{
attempt: 2,
passed: false,
durationMs: 100,
assistantMessageCount: 1,
toolCallCount: 0,
toolsUsed: [],
skillsInvoked: [],
checks: [{ name: "edited", passed: false }],
judgeScore: 10,
judgeSummary: "missed",
error: "failed",
tokenUsage: { prompt: 10, completion: 5, total: 15 },
},
]),
],
});
expect(result.attemptCount).toBe(2);
expect(result.passedAttempts).toBe(1);
expect(result.passRate).toBe(0.5);
expect(result.averageDurationMs).toBe(550);
expect(result.averagePassedDurationMs).toBe(1000);
expect(result.totalTokenUsage).toEqual({
prompt: 110,
completion: 25,
total: 135,
});
expect(result.totalPassedTokenUsage).toEqual({
prompt: 100,
completion: 20,
total: 120,
});
expect(result.averageTokenUsagePerAttempt).toEqual({
prompt: 55,
completion: 12.5,
total: 67.5,
});
expect(result.averageTokenUsagePerPassedAttempt).toEqual({
prompt: 100,
completion: 20,
total: 120,
});
const summary = formatRunSummary(result);
expect(summary).toContain("Average duration (passed): 1000ms");
expect(summary).toContain("Average tokens (passed): 120 total");
expect(summary).toContain("Average duration (all attempts): 550ms");
});
it("aggregates final context size over passed attempts only", () => {
const result = buildRunResult({
mode: "global",
runs: 1,
runModel: "model-under-test",
judgeModel: "judge-model",
caseResults: [
caseResult([
{
attempt: 1,
passed: true,
durationMs: 1000,
assistantMessageCount: 1,
toolCallCount: 1,
toolsUsed: ["edit_script"],
skillsInvoked: [],
checks: [{ name: "edited", passed: true }],
judgeScore: 100,
judgeSummary: "ok",
error: null,
tokenUsage: { prompt: 12000, completion: 200, total: 12200 },
finalContextTokens: 5000,
},
{
attempt: 2,
passed: true,
durationMs: 1100,
assistantMessageCount: 1,
toolCallCount: 1,
toolsUsed: ["edit_script"],
skillsInvoked: [],
checks: [{ name: "edited", passed: true }],
judgeScore: 100,
judgeSummary: "ok",
error: null,
tokenUsage: { prompt: 18000, completion: 300, total: 18300 },
finalContextTokens: 7000,
},
{
attempt: 3,
passed: false,
durationMs: 100,
assistantMessageCount: 1,
toolCallCount: 0,
toolsUsed: [],
skillsInvoked: [],
checks: [{ name: "edited", passed: false }],
judgeScore: 10,
judgeSummary: "missed",
error: "failed",
tokenUsage: { prompt: 20000, completion: 100, total: 20100 },
finalContextTokens: 9000,
},
]),
],
});
// Final context size stays below cumulative prompt and ignores the failed attempt.
expect(result.averageFinalContextTokensPassed).toBe(6000);
expect(result.maxFinalContextTokensPassed).toBe(7000);
expect(formatRunSummary(result)).toContain(
"Final context size (passed): 6000 tokens (max 7000)",
);
});
it("reports passed averages as unavailable when no attempt passes", () => {
const result = buildRunResult({
mode: "global",
runs: 1,
runModel: "model-under-test",
judgeModel: "judge-model",
caseResults: [
caseResult([
{
attempt: 1,
passed: false,
durationMs: 100,
assistantMessageCount: 1,
toolCallCount: 0,
toolsUsed: [],
skillsInvoked: [],
checks: [{ name: "edited", passed: false }],
judgeScore: 10,
judgeSummary: "missed",
error: "failed",
tokenUsage: { prompt: 10, completion: 5, total: 15 },
},
]),
],
});
expect(result.averagePassedDurationMs).toBeNull();
expect(result.totalPassedTokenUsage).toBeNull();
expect(result.averageTokenUsagePerPassedAttempt).toBeNull();
expect(formatRunSummary(result)).toContain(
"Average duration (passed): n/a",
);
});
it("normalizes passed token averages by passed attempts", () => {
const result = buildRunResult({
mode: "global",
runs: 1,
runModel: "model-under-test",
judgeModel: "judge-model",
caseResults: [
caseResult([
{
attempt: 1,
passed: true,
durationMs: 1000,
assistantMessageCount: 1,
toolCallCount: 1,
toolsUsed: ["edit_script"],
skillsInvoked: [],
checks: [{ name: "edited", passed: true }],
judgeScore: 100,
judgeSummary: "ok",
error: null,
tokenUsage: { prompt: 100, completion: 20, total: 120 },
},
{
attempt: 2,
passed: true,
durationMs: 1200,
assistantMessageCount: 1,
toolCallCount: 1,
toolsUsed: ["edit_script"],
skillsInvoked: [],
checks: [{ name: "edited", passed: true }],
judgeScore: 100,
judgeSummary: "ok",
error: null,
tokenUsage: null,
},
]),
],
});
expect(result.passedAttempts).toBe(2);
expect(result.totalPassedTokenUsage).toEqual({
prompt: 100,
completion: 20,
total: 120,
});
expect(result.averageTokenUsagePerPassedAttempt).toEqual({
prompt: 50,
completion: 10,
total: 60,
});
});
it("records passed-attempt metrics in history", async () => {
const tempDir = await mkdtemp(join(tmpdir(), "windmill-ai-evals-"));
try {
const historyPath = join(tempDir, "history.jsonl");
const result = buildRunResult({
mode: "global",
runs: 1,
runModel: "model-under-test",
judgeModel: "judge-model",
caseResults: [
caseResult([
{
attempt: 1,
passed: true,
durationMs: 1000,
assistantMessageCount: 1,
toolCallCount: 1,
toolsUsed: ["edit_script"],
skillsInvoked: [],
checks: [{ name: "edited", passed: true }],
judgeScore: 100,
judgeSummary: "ok",
error: null,
tokenUsage: { prompt: 100, completion: 20, total: 120 },
},
{
attempt: 2,
passed: false,
durationMs: 100,
assistantMessageCount: 1,
toolCallCount: 0,
toolsUsed: [],
skillsInvoked: [],
checks: [{ name: "edited", passed: false }],
judgeScore: 10,
judgeSummary: "missed",
error: "failed",
tokenUsage: { prompt: 10, completion: 5, total: 15 },
},
]),
],
});
await appendHistoryRecord(result, historyPath);
const record = JSON.parse(await readFile(historyPath, "utf8"));
expect(record.averageDurationMs).toBe(550);
expect(record.averagePassedDurationMs).toBe(1000);
expect(record.averageTokenUsagePerAttempt.total).toBe(67.5);
expect(record.averageTokenUsagePerPassedAttempt.total).toBe(120);
expect(record.cases[0].averageDurationMs).toBe(550);
expect(record.cases[0].averagePassedDurationMs).toBe(1000);
expect(record.cases[0].averageTokenUsagePerAttempt.total).toBe(67.5);
expect(record.cases[0].averageTokenUsagePerPassedAttempt.total).toBe(
120,
);
} finally {
await rm(tempDir, { recursive: true, force: true });
}
});
});