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
This commit is contained in:
@@ -12,6 +12,158 @@ import { nanoid } from 'nanoid';
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import log from 'electron-log';
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import type { MetonaStreamEvent, MetonaTokenUsage } from '../../types';
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import { MetonaStreamEventType } from '../../types';
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import { ContentFilterError } from '../base-adapter';
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/**
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* v0.6.4 根治「上游错误帧黑洞」:
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*
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* OpenAI 兼容网关常在中途发送 `data: {"error":{...}}` 数据帧(网关超时、限流、
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* 配额耗尽、鉴权失效等)。旧解析器整条处理链只从 `chunk.choices?.[0]?.delta` 取数,
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* 这类帧两个分支都不命中、零日志 —— 结果任何上游错误都伪装成"干净的空回复 +
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* 正常 DONE",且异常以普通事件而非异常形式出现,绕过了引擎 chatStreamWithRetry
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* 的重试/故障转移通道。
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*
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* 现契约:上游错误帧在解析层**直接抛出**携带结构化 status/providerCode 的
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* SseUpstreamError —— 异常沿 async generator 传播进 chatStreamWithRetry 的 catch,
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* 使 429/5xx 自动走指数退避重试、401 等不可重试错误走 fallback 故障转移,
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* 与 HTTP 状态码路径的行为完全对齐(错误分类单轨化的流式半边)。
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*/
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export class SseUpstreamError extends Error {
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/** 归一化后的 HTTP status(当帧内无数值 status 时按 providerCode 推断) */
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readonly status?: number;
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/** 上游原始错误码(如 "rate_limit_exceeded" / "insufficient_quota") */
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readonly providerCode?: string;
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constructor(message: string, options?: { status?: number; providerCode?: string }) {
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super(message);
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this.name = 'SseUpstreamError';
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this.status = options?.status;
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this.providerCode = options?.providerCode;
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}
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}
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/** v0.6.4: OpenAI 兼容流帧的最小结构化类型(仅承载本解析器实际消费的字段) */
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interface SseStreamFrame {
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choices?: Array<{
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delta?: {
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content?: string;
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reasoning_content?: string;
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tool_calls?: Array<{
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index?: number;
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function?: { name?: string; arguments?: string };
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}>;
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};
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finish_reason?: string;
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}>;
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usage?: {
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prompt_tokens?: number;
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completion_tokens?: number;
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total_tokens?: number;
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prompt_cache_hit_tokens?: number;
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prompt_cache_miss_tokens?: number;
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completion_tokens_details?: { reasoning_tokens?: number };
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prompt_tokens_details?: { cached_tokens?: number };
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};
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}
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/**
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* 从一条已 JSON.parse 的 SSE 数据帧中提取上游错误信息。
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* 兼容三种形态:
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* 1. 顶层 `{error:{message,status}}` — OpenAI 兼容网关最常见
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* 2. `{choices:[{error:{...}}]}` — 少数代理的变体包装
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* 3. `{error:"plain string"}` — 极简实现
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* 返回 null 表示该帧不含错误(正常数据帧)。
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*/
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function extractUpstreamErrorFrame(
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chunk: unknown,
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): { message: string; status?: number; code?: string } | null {
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if (!chunk || typeof chunk !== 'object') return null;
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const c = chunk as Record<string, unknown>;
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let errObj: unknown = c.error;
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if (
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(!errObj || typeof errObj !== 'object') &&
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Array.isArray(c.choices) &&
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c.choices.length > 0
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) {
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errObj = (c.choices[0] as Record<string, unknown> | undefined)?.error;
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}
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if (typeof errObj === 'string') {
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return errObj.trim() ? { message: errObj } : null;
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}
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if (!errObj || typeof errObj !== 'object') return null;
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const e = errObj as Record<string, unknown>;
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const rawStatus =
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typeof e.status === 'number'
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? e.status
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: typeof e.status_code === 'number'
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? e.status_code
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: undefined;
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const rawCode = typeof e.code === 'string' ? e.code : typeof e.type === 'string' ? e.type : '';
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const message =
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typeof e.message === 'string'
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? e.message
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: typeof e.msg === 'string'
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? e.msg
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: JSON.stringify(errObj);
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// 无消息且无状态码的无害空对象不算错误(防御性)
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if (!message && rawStatus === undefined && !rawCode) return null;
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return { message: message || `upstream error (${rawCode || rawStatus})`, status: rawStatus, code: rawCode || undefined };
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}
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/** 上游字符串错误码 → 归一化 HTTP status(用于帧内缺失数值 status 时仍能驱动重试判定) */
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function providerCodeToStatus(code: string): number | undefined {
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const c = code.toLowerCase();
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if (/rate_limit|too_many/.test(c)) return 429;
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if (/quota|insufficient|billing|exceeded_balance/.test(c)) return 402;
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if (/invalid_api_key|api_key_invalid|unauthorized|authentication/.test(c)) return 401;
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if (/forbidden|permission/.test(c)) return 403;
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if (/model_not_found|no_such_model/.test(c)) return 404;
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if (/overloaded|capacity|unavailable/.test(c)) return 503;
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if (/server_error|internal_error|internal/.test(c)) return 500;
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// 请求级 400 家族(无效参数/上下文超限)— 不映射到可重试区间,保持非重试语义
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return undefined;
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}
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/**
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* 由提取出的错误信息构造待抛出的 SseUpstreamError /
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* ContentFilterError(content_filter 类直接复用既有专用类型)。
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*/
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function makeUpstreamThrowable(info: { message: string; status?: number; code?: string }): Error {
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if (info.code && info.code.toLowerCase().includes('content_filter')) {
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return new ContentFilterError(info.message, 'SSE 流中收到上游安全审核错误');
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}
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const status = info.status ?? (info.code ? providerCodeToStatus(info.code) : undefined);
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return new SseUpstreamError(`upstream_error${info.code ? ` (${info.code})` : ''}: ${info.message}`, {
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status,
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providerCode: info.code,
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});
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}
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/**
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* 截断参数自愈载荷的唯一构造点(v0.6.4: 非流式/Ollama NDJSON/Anthropic 全线共用)。
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*
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* 原 v0.6.3 只覆盖了 OpenAI 共享 SSE 层;此处抽出为共享函数后,所有协议路径的
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* 截断工具调用统一转为显式错误参数 —— 工具执行失败 → 错误结果回传模型 → 模型
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* 重试/分块写入(ReAct 自愈闭环),彻底消灭"静默丢弃 → 空回复 → 会话无声终止"。
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*/
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export function truncatedArgumentsPayload(
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parseErrorMessage: string,
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rawTailSample: string,
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): Record<string, unknown> {
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return {
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_truncatedArguments: true,
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_truncatedReason:
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'The tool-call arguments JSON was truncated before completion ' +
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'(likely max_tokens output limit reached while generating this tool call). ' +
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'The original arguments are lost and cannot be recovered. Please retry with a ' +
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'smaller output (e.g. write the file in smaller chunks) — do NOT reuse or repeat ' +
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'the previous oversized arguments.' +
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` [parser: ${parseErrorMessage}; tail sample: ...${rawTailSample}]`,
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};
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}
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/**
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* L-4 修复: 提取 flushToolCallBuffer 辅助函数,消除 [DONE] 分支和 finish_reason='tool_calls' 分支的重复代码
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@@ -62,8 +214,9 @@ function* flushToolCallBuffer(
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},
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};
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} catch (err) {
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// v0.6.3: 截断的工具调用转显式错误参数(不丢弃)— 工具执行失败后
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// 错误结果回传模型,触发重试/分块写入,替代"静默丢弃→空回复终止会话"
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// v0.6.3 → v0.6.4: 截断的工具调用转显式错误参数(不丢弃)— 工具执行失败后
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// 错误结果回传模型,触发重试/分块写入。载荷构造已收敛到共享的
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// truncatedArgumentsPayload(Ollama NDJSON / Anthropic 事件机 / 非流式同步复用)。
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const rawTail = buf.argsBuffer.slice(-120);
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log.warn(
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`[SSE] Tool call args truncated (unparseable JSON, ${(err as Error).message}). ` +
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@@ -79,14 +232,7 @@ function* flushToolCallBuffer(
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toolCall: {
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id: `tc_${nanoid(8)}`,
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name: buf.name,
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args: {
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_truncatedArguments: true,
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_truncatedReason:
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'The streamed arguments JSON was truncated before completion ' +
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'(likely max_tokens output limit reached while generating this tool call). ' +
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'The original arguments are lost. Please retry with smaller output ' +
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'(e.g. write the file in smaller chunks) — do NOT reuse the previous oversized arguments.',
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},
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args: truncatedArgumentsPayload((err as Error).message, rawTail),
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iteration,
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timestamp: Date.now(),
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},
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@@ -149,8 +295,11 @@ export async function* parseSSEStream(
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for (const line of lines) {
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const trimmed = line.trim();
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if (!trimmed || !trimmed.startsWith('data: ')) continue;
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const data = trimmed.slice(6);
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// v0.6.4: 兼容 `data:{...}`(无空格)变体 — 部分代理网关不带空格,
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// 原实现的 startsWith('data: ') 会将其整帧跳过
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if (!trimmed || !trimmed.startsWith('data:')) continue;
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const data = trimmed.slice(5).trim();
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if (!data) continue;
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// 流结束
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if (data === '[DONE]') {
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@@ -169,109 +318,135 @@ export async function* parseSSEStream(
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return;
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}
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// v0.6.4: 结构化类型承载帧内容(替代 JSON.parse 的隐式 any,杜绝字段漂移)
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let chunk: SseStreamFrame;
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try {
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const chunk = JSON.parse(data);
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const delta = chunk.choices?.[0]?.delta;
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// 文本内容增量
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if (delta?.content) {
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yield {
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type: MetonaStreamEventType.TEXT_DELTA,
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requestId,
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sessionId,
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iteration,
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seq: seqRef.seq++,
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timestamp: Date.now(),
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delta: delta.content,
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};
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}
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// 推理内容增量(Thinking 模式)
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if (delta?.reasoning_content) {
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yield {
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type: MetonaStreamEventType.REASONING_DELTA,
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requestId,
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sessionId,
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iteration,
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seq: seqRef.seq++,
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timestamp: Date.now(),
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delta: delta.reasoning_content,
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};
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}
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// 工具调用增量 — 缓冲拼接
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if (delta?.tool_calls) {
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for (const tc of delta.tool_calls) {
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const idx = tc.index ?? 0;
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if (!toolCallsBuffer.has(idx)) {
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toolCallsBuffer.set(idx, { name: tc.function?.name ?? '', argsBuffer: '' });
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}
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const buf = toolCallsBuffer.get(idx)!;
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if (tc.function?.name) buf.name = tc.function.name;
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if (tc.function?.arguments) buf.argsBuffer += tc.function.arguments;
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yield {
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type: MetonaStreamEventType.TOOL_CALL_DELTA,
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requestId,
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sessionId,
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iteration,
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seq: seqRef.seq++,
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timestamp: Date.now(),
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toolCallDelta: {
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index: idx,
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name: tc.function?.name,
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argsDelta: tc.function?.arguments,
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},
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};
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}
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}
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// Token 使用统计 / finish_reason
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if (chunk.usage) {
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const usage: MetonaTokenUsage = {
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inputTokens: chunk.usage.prompt_tokens ?? 0,
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outputTokens: chunk.usage.completion_tokens ?? 0,
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totalTokens: chunk.usage.total_tokens ?? 0,
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reasoningTokens: chunk.usage.completion_tokens_details?.reasoning_tokens,
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// DeepSeek: prompt_cache_hit_tokens / prompt_cache_miss_tokens
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// MiMo: prompt_tokens_details.cached_tokens
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cacheHitTokens:
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chunk.usage.prompt_cache_hit_tokens ??
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chunk.usage.prompt_tokens_details?.cached_tokens,
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cacheMissTokens: chunk.usage.prompt_cache_miss_tokens,
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};
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yield {
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type: MetonaStreamEventType.USAGE,
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requestId,
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sessionId,
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iteration,
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seq: seqRef.seq++,
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timestamp: Date.now(),
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usage,
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};
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}
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// 非 [DONE] 但 finish_reason 为 tool_calls 时提前 flush 缓冲区
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const finishReason = chunk.choices?.[0]?.finish_reason as string | undefined;
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if (finishReason === 'tool_calls') {
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// L-4 修复: 使用 flushToolCallBuffer 替代重复的遍历代码
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yield* flushToolCallBuffer(toolCallsBuffer, requestId, sessionId, iteration, seqRef);
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}
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// v0.6.3 归因: 输出 token 上限截断(长工具参数/长文本的常见根因)显式落日志
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if (finishReason === 'length') {
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log.warn(
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`[SSE] finish_reason=length — output truncated by max_tokens limit ` +
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`(accumulated argsBuffer: ${[...toolCallsBuffer.values()].reduce((n, b) => n + b.argsBuffer.length, 0)} chars, ` +
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`model may retry with smaller output)`,
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);
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}
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chunk = JSON.parse(data) as SseStreamFrame;
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} catch (parseErr) {
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// P2-8 修复: 不再静默跳过,记录 warning 便于排查 SSE 数据损坏
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log.warn(
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`[SSE] Failed to parse stream line: ${(parseErr as Error).message}`,
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line.slice(0, 200),
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);
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continue;
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}
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// v0.6.4: 上游错误帧检测(根治"错误帧黑洞")。解析失败直接 throw,
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// 异常沿 chatStreamWithRetry 的 catch 走重试/故障转移通道;
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// 工具调用缓冲不 flush —— 重试会从零重建整个响应。
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const upstreamError = extractUpstreamErrorFrame(chunk);
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if (upstreamError) {
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log.warn(
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`[SSE] Upstream error frame received: code=${upstreamError.code ?? 'n/a'} status=${upstreamError.status ?? 'n/a'} message=${upstreamError.message.slice(0, 300)} — throwing for retry/failover handling`,
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);
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throw makeUpstreamThrowable(upstreamError);
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}
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const delta = chunk.choices?.[0]?.delta;
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// 文本内容增量
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if (delta?.content) {
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yield {
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type: MetonaStreamEventType.TEXT_DELTA,
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requestId,
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sessionId,
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iteration,
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seq: seqRef.seq++,
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timestamp: Date.now(),
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delta: delta.content,
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};
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}
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// 推理内容增量(Thinking 模式)
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if (delta?.reasoning_content) {
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yield {
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type: MetonaStreamEventType.REASONING_DELTA,
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requestId,
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sessionId,
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iteration,
|
||||
seq: seqRef.seq++,
|
||||
timestamp: Date.now(),
|
||||
delta: delta.reasoning_content,
|
||||
};
|
||||
}
|
||||
|
||||
// 工具调用增量 — 缓冲拼接
|
||||
if (delta?.tool_calls) {
|
||||
for (const tc of delta.tool_calls) {
|
||||
const idx = tc.index ?? 0;
|
||||
if (!toolCallsBuffer.has(idx)) {
|
||||
toolCallsBuffer.set(idx, { name: tc.function?.name ?? '', argsBuffer: '' });
|
||||
}
|
||||
const buf = toolCallsBuffer.get(idx)!;
|
||||
if (tc.function?.name) buf.name = tc.function.name;
|
||||
if (tc.function?.arguments) buf.argsBuffer += tc.function.arguments;
|
||||
|
||||
yield {
|
||||
type: MetonaStreamEventType.TOOL_CALL_DELTA,
|
||||
requestId,
|
||||
sessionId,
|
||||
iteration,
|
||||
seq: seqRef.seq++,
|
||||
timestamp: Date.now(),
|
||||
toolCallDelta: {
|
||||
index: idx,
|
||||
name: tc.function?.name,
|
||||
argsDelta: tc.function?.arguments,
|
||||
},
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
// Token 使用统计 / finish_reason
|
||||
const usageRaw = chunk.usage;
|
||||
if (usageRaw) {
|
||||
const usage: MetonaTokenUsage = {
|
||||
inputTokens: usageRaw.prompt_tokens ?? 0,
|
||||
outputTokens: usageRaw.completion_tokens ?? 0,
|
||||
totalTokens: usageRaw.total_tokens ?? 0,
|
||||
reasoningTokens: usageRaw.completion_tokens_details?.reasoning_tokens,
|
||||
// DeepSeek: prompt_cache_hit_tokens / prompt_cache_miss_tokens
|
||||
// MiMo: prompt_tokens_details.cached_tokens
|
||||
cacheHitTokens:
|
||||
usageRaw.prompt_cache_hit_tokens ?? usageRaw.prompt_tokens_details?.cached_tokens,
|
||||
cacheMissTokens: usageRaw.prompt_cache_miss_tokens,
|
||||
};
|
||||
|
||||
yield {
|
||||
type: MetonaStreamEventType.USAGE,
|
||||
requestId,
|
||||
sessionId,
|
||||
iteration,
|
||||
seq: seqRef.seq++,
|
||||
timestamp: Date.now(),
|
||||
usage,
|
||||
};
|
||||
}
|
||||
|
||||
// 非 [DONE] 但 finish_reason 为 tool_calls 时提前 flush 缓冲区
|
||||
const finishReason = chunk.choices?.[0]?.finish_reason as string | undefined;
|
||||
if (finishReason === 'tool_calls') {
|
||||
// L-4 修复: 使用 flushToolCallBuffer 替代重复的遍历代码
|
||||
yield* flushToolCallBuffer(toolCallsBuffer, requestId, sessionId, iteration, seqRef);
|
||||
}
|
||||
// v0.6.3 归因: 输出 token 上限截断(长工具参数/长文本的常见根因)显式落日志
|
||||
if (finishReason === 'length') {
|
||||
log.warn(
|
||||
`[SSE] finish_reason=length — output truncated by max_tokens limit ` +
|
||||
`(accumulated argsBuffer: ${[...toolCallsBuffer.values()].reduce((n, b) => n + b.argsBuffer.length, 0)} chars, ` +
|
||||
`model may retry with smaller output)`,
|
||||
);
|
||||
}
|
||||
// v0.6.4: 流式 content_filter 终止映射 —— 非流式路径早已支持
|
||||
// (throwHttpError → ContentFilterError),流式此前既不映射也不打日志,
|
||||
// 引擎拿到普通结束、用户看不到拦截原因。抛专用类型使 finish() 映射为
|
||||
// CONTENT_FILTERED 错误码 + 友好提示,且不会被重试逻辑反复重放。
|
||||
if (finishReason === 'content_filter') {
|
||||
log.warn('[SSE] finish_reason=content_filter — provider safety filter terminated the response');
|
||||
throw new ContentFilterError(
|
||||
'流式响应被 Provider 安全审核终止',
|
||||
'SSE stream (finish_reason=content_filter)',
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -327,8 +502,16 @@ export function parseOpenAICompatibleResponse(data: Record<string, unknown>): {
|
||||
if (typeof rawArgs === 'string') {
|
||||
try {
|
||||
args = JSON.parse(rawArgs);
|
||||
} catch {
|
||||
args = {};
|
||||
} catch (err) {
|
||||
// v0.6.4: 非流式路径与流式截断自愈对齐 —— 此前坏参静默降级 {} 与流式
|
||||
// 的显式自愈行为不一致(v0.6.3 只修了流式半边)。空参数会让工具以
|
||||
// "缺少必要参数"泛化失败,模型无法得知发生了截断;现在统一转为
|
||||
// _truncatedArguments 错误参数,触发模型分块重试。
|
||||
const sample = rawArgs.slice(-120);
|
||||
log.warn(
|
||||
`[SSE] Non-stream tool call args truncated (unparseable JSON, ${(err as Error).message}). Tail: ...${sample}`,
|
||||
);
|
||||
args = truncatedArgumentsPayload((err as Error).message, sample);
|
||||
}
|
||||
} else if (rawArgs && typeof rawArgs === 'object') {
|
||||
args = rawArgs as Record<string, unknown>;
|
||||
|
||||
Reference in New Issue
Block a user