ResponseDescription
KIT · class · 运行时值
Wrapper that distinguishes a transport instruction from ordinary generator data.
kind: 'model' carries a ModelOutput, 'http' an HttpFault response, and 'reject' a message used to simulate a network failure. Instances are recognized by brand rather than by instanceof alone, so descriptors survive crossing the ESM/CJS boundary.
导入
ts
import { ResponseDescription } from '@jangts/agent-core/mock';js
import { ResponseDescription } from '@jangts/agent-core/mock';其他公开入口:@jangts/agent-core/mock。
定义
ts
class ResponseDescription构造函数
ts
new ResponseDescription(kind: "model" | "http" | "reject", value: ModelOutput | HttpFault | string): ResponseDescription| 参数 | 类型 | 传递 | 说明 |
|---|---|---|---|
kind | "model" | "http" | "reject" | 必需 | — |
value | string | ModelOutput | HttpFault | 必需 | — |
参数 value的可选结构: 选择其中一种结构,各分支的字段要求分别列出。
分支 1
string
分支 2
| 字段 | 类型 | 必需 | 说明 |
|---|---|---|---|
content | string | null | undefined | 可省略 | Assistant text; null or omitted means no textual content (common for tool-call replies). |
tools | readonly ToolCall[] | undefined | 可省略 | Tool calls emitted by the assistant; their serialized size also counts toward limits. |
finishReason | "length" | "tool_calls" | "stop" | "content_filter" | undefined | 可省略 | Finish reason sent in the last content frame; defaults to tool_calls with tools, else stop. |
usage | Usage | undefined | 可省略 | Usage object included in non-stream replies and in the terminal usage chunk. |
delayMs | number | undefined | 可省略 | Artificial latency before the reply or first frame, in milliseconds; default 0. |
chunkSize | number | undefined | 可省略 | Maximum Unicode code points per content/tool-call delta; default 24; never splits a code point. |
intervalMs | number | undefined | 可省略 | Delay between SSE frames in milliseconds; default 0 (emit as fast as the consumer pulls). |
wireChunkSize | number | undefined | 可省略 | Optional transport-level byte chunks, independent of content/codepoint chunks. |
interruptAfter | number | undefined | 可省略 | Error the stream after this many data frames, without a success terminator. |
分支 3
| 字段 | 类型 | 必需 | 说明 |
|---|---|---|---|
status | number | 必需 | HTTP status to return; validated to the 400-599 range because faults model failures. |
body | JsonValue | 必需 | JSON body written verbatim, so callers can reproduce upstream error payloads. |
返回: ResponseDescription。
实例属性
| 字段 | 类型 | 必需 | 说明 |
|---|---|---|---|
kind | "model" | "http" | "reject" | 必需 | 只读。见类型定义及调用场景。 |
value | string | ModelOutput | HttpFault | 必需 | 只读。见类型定义及调用场景。 |
成员目录
| 成员 | 用途 |
|---|---|
[Symbol.hasInstance] | 静态。完整输入输出见下方重载。 |
成员详情
[Symbol.hasInstance]
静态成员。
ts
ResponseDescription[Symbol.hasInstance](value: unknown): boolean| 参数 | 类型 | 传递 | 说明 |
|---|---|---|---|
value | unknown | 必需 | — |
返回: boolean。
使用示例
- MockGPT:响应描述与场景生成器:固定结果用于严格回归,输入相关生成器用于探索接线,显式响应描述用于故障和流式场景。
编码已校验的模型结果
扩展 · Node.js
适配器负责请求校验、首包前延迟和生命周期;编码器不执行规则或修改 MockGPT 调用记录。
ts
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());js
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());从输入生成可检查的摘要
入门 · Node.js
ts
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);js
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);字段生成器复用同一随机源
配置 · Node.js
ts
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);js
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);