Files
metona-ai-desktop/electron/harness/adapters/__tests__/provider-request-shapes.test.ts
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thzxx 3940716dc2
CI / 类型检查 + Lint + 单元测试 (push) Failing after 5m45s
CI / 全量测试 (Electron ABI) (push) Failing after 5m22s
CI / 产物编译验证 (push) Successful in 10m3s
feat: v0.7.0 四阶段全量迭代 — 修复面收口 · 安全纵深 · 架构还债 · 能力演进
P1 修复面收口: v0.6.3 截断自愈推全量(Anthropic/Ollama/非流式/引擎兜底); SSE 上游错误帧检测进重试通道;
clearMessages 摘要游标根治; truncateResult 内联图片白名单统一; 前端四 bug(确认弹窗锁死/MemoryViewer/
Virtuoso Footer/abort 尾部过滤) + reasoning 缓冲跨迭代污染; 托盘通知过滤与新建会话死链接线

P2 安全纵深: MCP 审批闭环(ConfirmationHook×PolicyEngine 联动+重名拒注册); SSRF 收敛 ssrf-guard 共享模块
(web_fetch 双通道校验+重定向终态复检); Electron 加固(preload CJS 化→sandbox:true/CSP/权限白名单/will-navigate);
run_command cmd.exe 白名单通道元字符守门; diff_viewer 10MB 预检; Anthropic thinking 预算下限; Agnes 思考显式关闭

P3 架构还债: OpenAICompatibleAdapter 中间基类收敛四家样板; 错误分类单轨化(删 mapError/getFetchSignal,
超时显式 ETIMEDOUT); PRAGMA user_version 迁移版本化; 死代码清理专项(cn.ts/SHORTCUTS/ContextMenu 分支/
getWindowState/modifiedArgs/sandbox 空壳); i18next 引入; a11y 第一轮; SearXNG 页批量草稿模型统一

P4 能力演进: Ollama pull 可取消/capabilities 探测/num_ctx 实测缓存; UpdateService feed 比对式自动更新
(app:updateCheck IPC + StatusBar 入口); MiMo providerOptions(web_search 服务端工具/strict JSON);
web_fetch extract_mode=markdown(turndown); network.proxyUrl 全局代理(Chromium sessions+undici dispatcher)

测试: 264 → 507 用例(Electron ABI 全绿零跳过), 覆盖引擎压缩管线/重试竞速/MEMORY.md 闸门/file_editor 五操作/
filesystem 七工具实体夹具/git 真实仓库/SSE 错误帧/全线截断自愈/Provider 请求形态矩阵/SSRF 表测/钩子分级矩阵/
OutputValidator 全量/SLO 指标/MCP 安全纯函数/task_manager 链路/渲染层纯域/i18n 桥契约
2026-08-27 17:06:58 +08:00

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/**
* Provider 请求形态测试矩阵(v0.6.4 P2-6
*
* 此前 ollama599 行)/ anthropic(532 行)两个最复杂的适配器零测试 —— 恰好也是
* 本轮审计中缺陷密度最高的文件。本文件通过 mock fetch 记录真实请求体,
* 锁定以下契约:
*
* Anthropic:
* A1 消息转换(system 顶层 / user-assistant-tool 三角色映射 / 孤立 tool_result 过滤)
* A2 max_tokens 按模型钳制(引擎默认 63488 → sonnet 64000 / opus 32000
* A3 thinking 预算下限保护(小 maxTokens 场景 budget≥1024 且 < max_tokens,此前 API 400
* A4 thinking 开启时不传 temperature;关闭时显式传递
*
* Ollama:
* O1 options 映射(num_predict=numTokens、num_ctx=contextLength、stop、top_p
* O2 think 参数 effort 映射(low→"low"、max→true)与未配置时缺省
* O3 图片归一化(data URI 剥前缀;无 URL 触发下载分支时零网络请求)
*
* Agnes:
* G1 思考模式对称性 —— thinkingEnabled=false 必须显式发送 enable_thinking:false
*/
import { describe, it, expect, vi } from 'vitest';
vi.mock('electron-log', () => ({
default: { info: vi.fn(), warn: vi.fn(), error: vi.fn(), debug: vi.fn() },
}));
import { AnthropicAdapter } from '../anthropic.adapter';
import { OllamaAdapter } from '../ollama.adapter';
import { MimoAdapter } from '../mimo.adapter';
import { AgnesAdapter } from '../agnes-ai.adapter';
import type { MetonaRequest } from '../../types';
/** 安装全局 fetch 捕获器:记录每次请求体并返回一个三家协议都能解析的合成响应 */
function captureFetch(): { bodies: Array<Record<string, unknown>> } {
const bodies: Array<Record<string, unknown>> = [];
// 兼容三家的非流式解析所需的最小字段集:
// OpenAI 兼容(agnes): choices[].message/finish_reasonAnthropic: content[]/usage/stop_reason
// Ollama: message/done/prompt_eval_count/eval_count
const genericBody = {
id: 'cmpl-test',
object: 'chat.completion',
created: Date.now(),
model: 'test-model',
choices: [{ index: 0, message: { role: 'assistant', content: 'ok' }, finish_reason: 'stop' }],
content: [],
usage: {
prompt_tokens: 3,
completion_tokens: 2,
total_tokens: 5,
input_tokens: 3,
output_tokens: 2,
prompt_eval_count: 3,
eval_count: 2,
},
stop_reason: 'end_turn',
message: { role: 'assistant', content: 'ok' },
done: true,
};
const fetchMock = vi.fn(async (_url: string | URL, init?: RequestInit) => {
bodies.push(JSON.parse(String(init?.body ?? '{}')) as Record<string, unknown>);
return new Response(JSON.stringify(genericBody), {
status: 200,
headers: { 'Content-Type': 'application/json' },
});
});
vi.stubGlobal('fetch', fetchMock);
return { bodies };
}
function makeRequest(overrides?: Partial<MetonaRequest>): MetonaRequest {
return {
meta: {
sessionId: 's1',
iteration: 1,
requestId: 'r1',
timestamp: Date.now(),
agentVersion: 'test',
},
systemPrompt: {
roleDefinition: 'You are Metona.',
outputConstraints: 'Be concise.',
safetyGuidelines: 'Stay safe.',
dynamicReminders: '',
},
messages: [{ role: 'user', content: 'hi', timestamp: Date.now() }],
params: { maxTokens: 63_488, temperature: 0, stream: false },
...overrides,
};
}
// ===== Anthropic =====
describe('AnthropicAdapter — 请求体契约', () => {
it('A1: system 拼为顶层字段;tool 结果映射为 user 角色 tool_result 块', async () => {
const adapter = new AnthropicAdapter({
provider: 'anthropic',
baseURL: 'http://a.test',
apiKey: 'k',
defaultModel: 'claude-sonnet-4-5',
});
const { bodies } = captureFetch();
await adapter.send(
makeRequest({
messages: [
{ role: 'user', content: 'read it', timestamp: Date.now() },
{
role: 'assistant',
content: null,
toolCalls: [
{ id: 'tc_1', name: 'read_file', args: { path: 'a.txt' }, iteration: 1, timestamp: Date.now() },
],
timestamp: Date.now(),
},
{ role: 'tool', content: null, toolResult: { toolCallId: 'tc_1', toolName: 'read_file', result: 'data', success: true, durationMs: 1, timestamp: Date.now() }, timestamp: Date.now() },
// 孤立 tool_result(前面没有对应 tool_use)应被过滤
{ role: 'tool', content: null, toolResult: { toolCallId: 'tc_orphan', toolName: 'x', result: '', success: true, durationMs: 1, timestamp: Date.now() }, timestamp: Date.now() },
{ role: 'user', content: 'next?', timestamp: Date.now() },
],
}),
);
const body = bodies[0];
expect(body.system).toContain('You are Metona.');
expect(Array.isArray(body.messages)).toBe(true);
const msgs = body.messages as Array<{ role: string; content: Array<Record<string, unknown>> }>;
// tool_use 的 assistant 消息存在且携带 id/name
const assistantToolMsg = msgs.find((m) => m.role === 'assistant');
expect(assistantToolMsg?.content[0]).toMatchObject({ type: 'tool_use', id: 'tc_1', name: 'read_file' });
// tool 结果以 user 角色 tool_result 形态出现且配对 id 正确;孤立者被丢弃
const toolResultBlocks = msgs.flatMap((m) =>
m.content.filter((c) => c.type === 'tool_result'),
);
expect(toolResultBlocks).toHaveLength(1);
expect(toolResultBlocks[0].tool_use_id).toBe('tc_1');
});
it('A2: max_tokens 按模型上限钳制(63488 → sonnet 64000 / opus 32000', async () => {
const sonnet = new AnthropicAdapter({
provider: 'anthropic',
baseURL: 'http://a.test',
apiKey: 'k',
defaultModel: 'claude-sonnet-4-5',
});
const opus = new AnthropicAdapter({
provider: 'anthropic',
baseURL: 'http://a.test',
apiKey: 'k',
defaultModel: 'claude-opus-4-1',
});
const { bodies } = captureFetch();
await sonnet.send(makeRequest());
await opus.send(makeRequest());
// 引擎默认 63488 低于 sonnet 上限 64000 → 原样保留;opus 上限 32000 → 钳制生效
expect(bodies[0].max_tokens).toBe(63_488);
expect(bodies[1].max_tokens).toBe(32_000);
});
it('A3: 小 maxTokens 时 thinking budget 不跌破协议下限 1024v0.6.4 边界加固)', async () => {
const adapter = new AnthropicAdapter({
provider: 'anthropic',
baseURL: 'http://a.test',
apiKey: 'k',
defaultModel: 'claude-haiku-4-5',
});
const { bodies } = captureFetch();
await adapter.send(
makeRequest({ params: { maxTokens: 1500, temperature: 0, stream: false, thinkingEnabled: true, thinkingEffort: 'low' } }),
);
const body = bodies[0];
const thinking = body.thinking as { type: string; budget_tokens: number };
// max_tokens 被抬升到安全下限,budget 落在 [1024, max_tokens/2] 区间内
expect(body.max_tokens as number).toBeGreaterThanOrEqual(2048);
expect(thinking.budget_tokens).toBeGreaterThanOrEqual(1024);
expect(thinking.budget_tokens).toBeLessThanOrEqual((body.max_tokens as number) / 2);
});
it('A4: thinking 开启不传 temperature;关闭时显式传递', async () => {
const adapter = new AnthropicAdapter({
provider: 'anthropic',
baseURL: 'http://a.test',
apiKey: 'k',
defaultModel: 'claude-sonnet-4-5',
});
const { bodies } = captureFetch();
await adapter.send(
makeRequest({ params: { maxTokens: 4096, temperature: 0.7, stream: false, thinkingEnabled: true } }),
);
expect(bodies[0].temperature).toBeUndefined();
expect(bodies[0].thinking).toBeDefined();
await adapter.send(
makeRequest({ params: { maxTokens: 4096, temperature: 0.7, stream: false, thinkingEnabled: false } }),
);
expect(bodies[1].temperature).toBe(0.7);
expect(bodies[1].thinking).toBeUndefined();
});
});
// ===== Ollama =====
describe('OllamaAdapter — 请求体契约', () => {
function makeOllama(): OllamaAdapter {
return new OllamaAdapter({
provider: 'ollama',
baseURL: 'http://localhost:11434',
defaultModel: 'qwen3',
});
}
it('O1: options 映射 num_predict/num_ctx/stop/top_p/temperature', async () => {
const adapter = makeOllama();
const { bodies } = captureFetch();
await adapter.send(
makeRequest({
params: {
maxTokens: 8192,
temperature: 0.3,
topP: 0.9,
stream: false,
contextLength: 16384,
stopSequences: ['STOP'],
},
}),
);
const options = bodies[0].options as Record<string, unknown>;
expect(options.num_predict).toBe(8192);
expect(options.num_ctx).toBe(16384);
expect(options.temperature).toBe(0.3);
expect(options.top_p).toBe(0.9);
expect(options.stop).toEqual(['STOP']);
});
it('O2: think 参数 effort 映射(low→"low"、max→true);未开启思考时缺省', async () => {
const adapter = makeOllama();
const { bodies } = captureFetch();
await adapter.send(makeRequest({ params: { maxTokens: 4096, temperature: 0, stream: false, thinkingEnabled: true, thinkingEffort: 'low' } }));
expect(bodies[0].think).toBe('low');
await adapter.send(makeRequest({ params: { maxTokens: 4096, temperature: 0, stream: false, thinkingEnabled: true, thinkingEffort: 'max' } }));
expect(bodies[1].think).toBe(true);
await adapter.send(makeRequest({ params: { maxTokens: 4096, temperature: 0, stream: false, thinkingEnabled: false } }));
expect(bodies[2].think).toBeUndefined();
});
it('O3: data URI 图片剥前缀转纯 base64 数组(无网络下载路径触发)', async () => {
const adapter = makeOllama();
const { bodies } = captureFetch();
await adapter.send(
makeRequest({
messages: [
{
role: 'user',
content: '看图',
images: [{ url: 'data:image/png;base64,iVBORw0KGgoAAAANSU', detail: 'auto' }],
timestamp: Date.now(),
},
],
}),
);
const messages = bodies[0].messages as Array<Record<string, unknown>>;
const userMsg = messages[messages.length - 1];
expect(userMsg.images).toEqual(['iVBORw0KGgoAAAANSU']);
});
});
// ===== MiMo providerOptionsv0.6.4 P4-3 =====
describe('MimoAdapter — 服务端能力扩展(providerOptions', () => {
it('enableWebSearch 开启时附加 {type:web_search} 服务端工具', async () => {
const adapter = new MimoAdapter({
provider: 'mimo',
baseURL: 'http://m.test/v1',
apiKey: 'k',
defaultModel: 'mimo-v2.5',
providerOptions: { enableWebSearch: true },
});
const { bodies } = captureFetch();
await adapter.send(makeRequest());
const tools = bodies[0].tools as Array<Record<string, unknown>>;
expect(tools.some((tc) => (tc as { type?: string }).type === 'web_search')).toBe(true);
expect(bodies[0].tool_choice).toBe('auto');
});
it('responseFormatJson 开启时写入 response_format json_object;默认不写', async () => {
const on = new MimoAdapter({
provider: 'mimo',
baseURL: 'http://m.test/v1',
apiKey: 'k',
defaultModel: 'mimo-v2.5',
providerOptions: { responseFormatJson: true },
});
const off = new MimoAdapter({
provider: 'mimo',
baseURL: 'http://m.test/v1',
apiKey: 'k',
defaultModel: 'mimo-v2.5',
});
const { bodies } = captureFetch();
await on.send(makeRequest());
await off.send(makeRequest());
expect(bodies[0].response_format).toEqual({ type: 'json_object' });
expect(bodies[1].response_format).toBeUndefined();
});
});
// ===== Agnes =====
describe('AgnesAdapter — 思考模式对称性(v0.6.4', () => {
it('G1: thinkingEnabled=false 显式发送 enable_thinking:false(此前无法关闭服务端默认思考)', async () => {
const adapter = new AgnesAdapter({
provider: 'agnes',
baseURL: 'http://g.test/v1',
apiKey: 'k',
defaultModel: 'agnes-2.0-flash',
});
const { bodies } = captureFetch();
await adapter.send(makeRequest({ params: { maxTokens: 4096, temperature: 0, stream: false, thinkingEnabled: true, thinkingEffort: 'high' } }));
expect(
((bodies[0].chat_template_kwargs as Record<string, unknown>) ?? {}).enable_thinking,
).toBe(true);
await adapter.send(makeRequest({ params: { maxTokens: 4096, temperature: 0, stream: false, thinkingEnabled: false } }));
expect(
((bodies[1].chat_template_kwargs as Record<string, unknown>) ?? {}).enable_thinking,
).toBe(false);
// 未配置 thinkingEnabled 同样视为关闭(显式 disabled 保持与服务端默认的确定性)
await adapter.send(makeRequest({ params: { maxTokens: 4096, temperature: 0, stream: false } }));
expect(
((bodies[2].chat_template_kwargs as Record<string, unknown>) ?? {}).enable_thinking,
).toBe(false);
});
});