generatorNames

KIT · constant · Runtime value

Import

TypeScript

import { generatorNames } from '@jangts/agent-core/mock';

JavaScript

import { generatorNames } from '@jangts/agent-core/mock';

Other public entry points:@jangts/agent-core/mock.

Definition

const generatorNames: readonly ("boolean" | "id" | "summary" | "sequence" | "integer" | "sentence" | "date" | "bullets" | "keywords" | "title" | "reply" | "extract" | "float" | "pick" | "imageUrl" | "toolCall")[]

Index structure

Field	Type	Required	Description
[key: number]	"boolean" | "id" | "summary" | "sequence" | "integer" | "sentence" | "date" | "bullets" | "keywords" | "title" | "reply" | "extract" | "float" | "pick" | "imageUrl" | "toolCall"	Required	Read-only. Index entry.

Examples

• MockGPT: response descriptions and scenario generators: Fixed results serve strict regression, input-dependent generators explore wiring, and explicit response descriptions cover failure and streaming scenarios.

Encode a validated model result

Extension · Node.js

The adapter handles request validation, pre-first-byte delay, and lifecycle; the encoder does not execute rules or modify MockGPT call records.

TypeScript

import { encodeModelResponse } from '@jangts/agent-core/mock';
const controller = new AbortController();
const response = encodeModelResponse(
  { model: 'demo', messages: [{ role: 'user', content: '状态' }], stream: false },
  { content: '服务在线。' }, 'mock-1', 1700000000, controller.signal,
  (error, cancelled) => console.log({ error, cancelled }),
);
console.log(await response.json());

JavaScript

import { encodeModelResponse } from '@jangts/agent-core/mock';
const controller = new AbortController();
const response = encodeModelResponse({ model: 'demo', messages: [{ role: 'user', content: '状态' }], stream: false }, { content: '服务在线。' }, 'mock-1', 1700000000, controller.signal, (error, cancelled) => console.log({ error, cancelled }));
console.log(await response.json());

Generate an inspectable summary from the input

Beginner · Node.js

TypeScript

import { MockGPT, generators } from '@jangts/agent-core/mock';
const mock = new MockGPT({ rules: [{ generator: generators.summary({ maxChars: 120, count: 2 }) }] });
console.log(await mock.generate({ model: 'demo', messages: [{ role: 'user', content: '服务刚完成维护。健康检查通过。用户可以查询状态。' }] }));
console.log(mock.records);

JavaScript

import { MockGPT, generators } from '@jangts/agent-core/mock';
const mock = new MockGPT({ rules: [{ generator: generators.summary({ maxChars: 120, count: 2 }) }] });
console.log(await mock.generate({ model: 'demo', messages: [{ role: 'user', content: '服务刚完成维护。健康检查通过。用户可以查询状态。' }] }));
console.log(mock.records);

Reuse the same random source across field generators

Configuration · Node.js

TypeScript

import { MockGPT, generators, generatorNames } from '@jangts/agent-core/mock';
const id = generators.id('user');
const age = generators.integer(18, 60);
const mock = new MockGPT({ seed: 42, clock: () => 1700000000000, rules: [{
  generator: context => ({ id: id(context), age: age(context) }),
}] });
console.log(await mock.generate({ model: 'demo', messages: [{ role: 'user', content: '生成资料' }] }));
console.log(generatorNames);

JavaScript

import { MockGPT, generators, generatorNames } from '@jangts/agent-core/mock';
const id = generators.id('user');
const age = generators.integer(18, 60);
const mock = new MockGPT({ seed: 42, clock: () => 1700000000000, rules: [{
            generator: context => ({ id: id(context), age: age(context) }),
        }] });
console.log(await mock.generate({ model: 'demo', messages: [{ role: 'user', content: '生成资料' }] }));
console.log(generatorNames);

Related definitions

• generators