Files
windmill/ai_evals/core/cases.ts
centdix b883f9a9d2 feat: add ai chat schedule and trigger tools (#8961)
* feat: add ai chat schedule and trigger tools

* refactor: use zod for ai chat workspace tools

* refactor: let ai provide runnable target fields

* refactor: generate ai chat workspace tool schemas

* fix: add object type to composed tool schemas

* fix: avoid top-level trigger schema unions

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* fix: block undeployed workspace ai tools

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* fix: inject ai workspace tool target

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* test: add ai evals for workspace tools

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* test: make workspace tool eval prompts realistic

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* fix: surface workspace tool errors

* fix: show workspace tool success details

* fix: describe workspace tool path format

* fix: clarify workspace path examples

* fix: tighten workspace tool validation

* fix: align workspace tool prompts

* chore: mark generated chat schemas

* chore: mark generated cli skills

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-04-29 14:00:01 +00:00

85 lines
2.3 KiB
TypeScript

import { readFile } from "node:fs/promises";
import path from "node:path";
import { fileURLToPath } from "node:url";
import { parse } from "yaml";
import type {
CliValidationSpec,
EvalCase,
EvalCaseRuntimeSpec,
EvalMode,
EvalValidationSpec,
} from "./types";
const REPO_ROOT = fileURLToPath(new URL("../../", import.meta.url));
const CASES_DIR = path.join(REPO_ROOT, "ai_evals", "cases");
interface RawEvalCase {
id: string;
prompt: string;
initial?: string;
expected?: string;
validate?: EvalValidationSpec;
toolExpect?: EvalCase["toolExpect"];
cliExpect?: CliValidationSpec;
judgeChecklist?: string[];
skipJudge?: boolean;
runtime?: EvalCaseRuntimeSpec;
}
export function getRepoRoot(): string {
return REPO_ROOT;
}
export function getAiEvalsRoot(): string {
return path.join(REPO_ROOT, "ai_evals");
}
export async function loadCases(mode: EvalMode): Promise<EvalCase[]> {
const filePath = path.join(CASES_DIR, `${mode}.yaml`);
const raw = await readFile(filePath, "utf8");
const parsed = parse(raw);
if (!Array.isArray(parsed)) {
throw new Error(`Expected ${filePath} to contain a YAML list of cases`);
}
return (parsed as RawEvalCase[]).map((entry) => ({
id: entry.id,
prompt: entry.prompt,
initialPath: resolveFixturePath(entry.initial),
expectedPath: resolveFixturePath(entry.expected),
validate: entry.validate,
toolExpect: entry.toolExpect,
cliExpect: entry.cliExpect,
judgeChecklist: entry.judgeChecklist,
skipJudge: entry.skipJudge,
runtime: entry.runtime,
}));
}
export async function loadSelectedCases(
mode: EvalMode,
selectedIds: string[]
): Promise<EvalCase[]> {
const allCases = await loadCases(mode);
if (selectedIds.length === 0) {
return allCases;
}
const caseMap = new Map(allCases.map((entry) => [entry.id, entry]));
const missing = selectedIds.filter((id) => !caseMap.has(id));
if (missing.length > 0) {
throw new Error(
`Unknown ${mode} case${missing.length === 1 ? "" : "s"}: ${missing.join(", ")}`
);
}
return selectedIds.map((id) => caseMap.get(id)!);
}
function resolveFixturePath(value: string | undefined): string | undefined {
if (!value) {
return undefined;
}
return path.isAbsolute(value) ? value : path.join(REPO_ROOT, value);
}