ResponseDescription
KIT · class · Runtime value
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.
Import
import { ResponseDescription } from '@jangts/agent-core/mock';import { ResponseDescription } from '@jangts/agent-core/mock';Other public entry points:@jangts/agent-core/mock.
Definition
class ResponseDescriptionConstructor
new ResponseDescription(kind: "model" | "http" | "reject", value: ModelOutput | HttpFault | string): ResponseDescription| Parameter | Type | Passing | Description |
|---|---|---|---|
kind | "model" | "http" | "reject" | Required | — |
value | string | ModelOutput | HttpFault | Required | — |
Optional shapes of Parameter value: choose one shape; required fields for each branch are listed separately.
Branch 1
string
Branch 2
| Field | Type | Required | Description |
|---|---|---|---|
content | string | null | undefined | Optional | Assistant text; null or omitted means no textual content (common for tool-call replies). |
tools | readonly ToolCall[] | undefined | Optional | Tool calls emitted by the assistant; their serialized size also counts toward limits. |
finishReason | "length" | "tool_calls" | "stop" | "content_filter" | undefined | Optional | Finish reason sent in the last content frame; defaults to tool_calls with tools, else stop. |
usage | Usage | undefined | Optional | Usage object included in non-stream replies and in the terminal usage chunk. |
delayMs | number | undefined | Optional | Artificial latency before the reply or first frame, in milliseconds; default 0. |
chunkSize | number | undefined | Optional | Maximum Unicode code points per content/tool-call delta; default 24; never splits a code point. |
intervalMs | number | undefined | Optional | Delay between SSE frames in milliseconds; default 0 (emit as fast as the consumer pulls). |
wireChunkSize | number | undefined | Optional | Optional transport-level byte chunks, independent of content/codepoint chunks. |
interruptAfter | number | undefined | Optional | Error the stream after this many data frames, without a success terminator. |
Branch 3
| Field | Type | Required | Description |
|---|---|---|---|
status | number | Required | HTTP status to return; validated to the 400-599 range because faults model failures. |
body | JsonValue | Required | JSON body written verbatim, so callers can reproduce upstream error payloads. |
Returns: ResponseDescription.
Instance properties
| Field | Type | Required | Description |
|---|---|---|---|
kind | "model" | "http" | "reject" | Required | Read-only. See the type definition and usage context. |
value | string | ModelOutput | HttpFault | Required | Read-only. See the type definition and usage context. |
Member index
| Member | Purpose |
|---|---|
[Symbol.hasInstance] | Static. See the overload below for full inputs and outputs. |
Member details
[Symbol.hasInstance]
Static member.
ResponseDescription[Symbol.hasInstance](value: unknown): boolean| Parameter | Type | Passing | Description |
|---|---|---|---|
value | unknown | Required | — |
Returns: boolean.
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.
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());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
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);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
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);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);