【根因(main.log 实证)】 19:04 / 19:05 / 19:06 三次会话终止均为同一报错: DeepSeek 400 "Messages with role 'tool' must be a response to a preceding message with 'tool_calls'" 缺陷链:engine 主循环仅在 step.thought 存在(该轮有文本或思考内容)时才 将 assistant 消息加入请求历史。当模型发起纯工具调用(零文本零思考 — DeepSeek 高频行为)时: - assistant(tool_calls) 消息不进 messages - 但 tool 结果消息照常 push → 下一轮请求出现孤立 tool 消息 → 协议 400(不可重试)→ 会话 ERROR 终止 "不稳定" = 模型每轮是否附带文本是概率性行为:带文本正常,纯调用必崩。 DB 持久化侧同源缺陷(if (!step.thought) continue)导致这些步骤的 assistant 与 tool 结果全部不落库 — 重启后工具上下文丢失,模型重复调用。 【修复】 - engine.ts: 有 toolCalls 的轮次必 push assistant(content=null,C-6 规范) - agent.ts: 持久化条件同步修复(无 thought 但有 toolCalls 的步骤落库) - 回归测试: 纯 tool_calls 轮后第二次请求中 tool 消息前必须是带 tool_calls 的 assistant(请求契约断言,engine-toolchain.test.ts) 【纵深防御 — 孤立 tool 消息过滤】 - openai-format.ts(DeepSeek/Agnes/MiMo/OpenAI 四家共享): 构建请求时 按 tool_call_id 配对过滤孤立 tool 消息(任何来源的历史污染不再 400 死锁) - anthropic.adapter.ts: tool_use/tool_result 同策略配对过滤 - 单测 ×6: 正常配对保留 / 孤立丢弃 / id 不匹配丢弃 / 多轮配对 / includeImages 原位转换 / 非 vision 静默丢弃 【多模态索引对齐收敛】 4 家 adapter 的 images 处理循环原按未过滤的 nonSystemMsgs[i-1] 对齐索引, 孤立 tool 过滤引入后会错位 — 统一收进 buildOpenAICompatibleMessages (includeImages 参数,基于 sanitized 序列原位转换),4 家 adapter 删除 各自的索引对齐循环(DeepSeek vision 判断 / OpenAI 推理模型拒绝保留在 adapter)。 【终止原因可见化】 MAX_ITERATIONS / TIMEOUT 终止此前无任何提示(用户感知"会话直接停止")— 前端 DONE 事件非 completed 终止原因显示为 system 消息。 【v0.6.1 回归缓解】 web_fetch timeoutMs 120s → 240s:浏览器回退串行化后并发 3 个排队最坏 ~127.5s,旧值让排队末位抓取被工具超时杀掉(表现为抓取不稳定)。 【验证】 lint 0/0;typecheck 双工程 0 错误;test:electron 259/259(+7); electron-vite build 成功
323 lines
12 KiB
TypeScript
323 lines
12 KiB
TypeScript
/**
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* DeepSeek Provider Adapter
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*
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* 基于 OpenAI 兼容 API。支持 Tool Calling、Thinking 模式、流式输出。
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* 模型: deepseek-v4-flash / deepseek-v4-pro(1M 上下文,384K 最大输出)
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*
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* 独立继承 BaseAdapter,通过 shared/openai-format 和 shared/sse-stream 复用
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* OpenAI 兼容格式构建和 SSE 流式解析逻辑。不与其他 Provider Adapter 耦合。
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*
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* @see apis/deepseek-api-docs-20260518.html
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*/
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import log from 'electron-log';
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import { BaseAdapter } from './base-adapter';
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import type { MetonaRequest, MetonaResponse, MetonaStreamEvent } from '../types';
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import { MetonaFinishReason } from '../types';
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import type { MetonaModelInfo } from '../types/metona-adapter';
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import { buildOpenAICompatibleMessages, buildOpenAICompatibleTools } from './shared/openai-format';
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import { parseSSEStream, parseOpenAICompatibleResponse } from './shared/sse-stream';
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export class DeepSeekAdapter extends BaseAdapter {
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// H-2 修复: provider → providerId(规范要求)
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override readonly providerId: string = 'deepseek';
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readonly supportedModels = [
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'deepseek-v4-pro',
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'deepseek-v4-flash',
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'deepseek-v4-flash-vision-exp',
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];
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readonly supportsToolCalling = true;
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readonly supportsThinking = true;
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// H-2 修复: DeepSeek 模型元信息(1M 上下文,384K 最大输出)
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private static readonly MODEL_INFO: Record<string, MetonaModelInfo> = {
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'deepseek-v4-pro': {
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id: 'deepseek-v4-pro',
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name: 'DeepSeek V4 Pro',
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contextWindow: 1_000_000,
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maxOutputTokens: 384_000,
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supportsToolCalling: true,
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supportsThinking: true,
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description: 'DeepSeek 旗舰模型,1M 上下文,支持深度推理与工具调用',
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},
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'deepseek-v4-flash': {
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id: 'deepseek-v4-flash',
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name: 'DeepSeek V4 Flash',
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contextWindow: 1_000_000,
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maxOutputTokens: 384_000,
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supportsToolCalling: true,
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supportsThinking: true,
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description: 'DeepSeek 快速版,1M 上下文,低延迟推理',
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},
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// v0.5.4: DeepSeek 多模态实验模型(OpenAI image_url content parts 格式)
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'deepseek-v4-flash-vision-exp': {
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id: 'deepseek-v4-flash-vision-exp',
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name: 'DeepSeek V4 Flash Vision (Exp)',
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contextWindow: 128_000,
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maxOutputTokens: 8_192,
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supportsToolCalling: true,
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supportsThinking: false,
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description: 'DeepSeek 多模态实验模型,支持图片输入(image_url content parts)',
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},
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};
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/**
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* v0.5.4: 当前模型是否支持多模态图片输入
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*
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* DeepSeek 仅 vision 系列模型支持图片(命名含 'vision');
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* 非 vision 模型收到 images 时静默丢弃(避免 API 400)。
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* 前端上传入口由 llm.multimodalEnabled 配置总开关控制,此处是 adapter 侧的模型级防线。
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*/
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private isVisionModel(): boolean {
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return this.config.defaultModel.includes('vision');
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}
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// ===== POST /chat/completions (非流式) =====
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// H-2 修复: chat → send(规范要求)
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async send(request: MetonaRequest): Promise<MetonaResponse> {
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const body = this.toNativeRequest(request, false);
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// #24 修复: 使用 fetchWithTimeout 替代 getFetchSignal + fetch,确保 timer 清理
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const response = await this.fetchWithTimeout(
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`${this.config.baseURL}/chat/completions`,
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{
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${this.config.apiKey}`,
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...this.config.headers,
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},
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body: JSON.stringify(body),
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},
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this.config.timeoutMs ?? 120_000,
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);
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if (!response.ok) {
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await this.throwHttpError(response, 'DeepSeek API error');
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}
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const data = (await response.json()) as Record<string, unknown>;
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const parsed = parseOpenAICompatibleResponse(data);
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return {
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meta: {
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requestId: request.meta.requestId,
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provider: this.providerId,
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model: (data.model as string) ?? this.config.defaultModel,
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latencyMs: 0,
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timestamp: Date.now(),
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},
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content: parsed.content,
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reasoningContent: parsed.reasoningContent,
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toolCalls: parsed.toolCalls,
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usage: parsed.usage,
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finishReason: parsed.finishReason as MetonaFinishReason,
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};
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}
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// ===== POST /chat/completions (流式) =====
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// H-2 修复: chatStream → sendStream(规范要求)
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async *sendStream(request: MetonaRequest): AsyncIterable<MetonaStreamEvent> {
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const body = this.toNativeRequest(request, true);
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// #24 修复: 使用 fetchWithTimeout 替代 getFetchSignal + fetch,确保 timer 清理
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const response = await this.fetchWithTimeout(
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`${this.config.baseURL}/chat/completions`,
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{
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${this.config.apiKey}`,
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...this.config.headers,
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},
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body: JSON.stringify(body),
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},
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this.config.timeoutMs ?? 300_000,
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);
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if (!response.ok || !response.body) {
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await this.throwHttpError(response, 'DeepSeek stream error');
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}
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yield* parseSSEStream(
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// 非空断言:上方 if 已确保 response.body 不为 null
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// TypeScript 无法通过 await Promise<never> 正确收窄,需显式断言
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response.body!,
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request.meta.requestId,
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request.meta.sessionId,
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request.meta.iteration,
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);
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}
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// ===== GET /models =====
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/**
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* H-2 修复: 返回 MetonaModelInfo[](规范要求)
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*
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* 优先尝试从 API 获取实时模型列表,并合并本地 MODEL_INFO 元数据。
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* API 不可用时回退到 supportedModels。
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*/
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async listModels(): Promise<MetonaModelInfo[]> {
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try {
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const response = await fetch(`${this.config.baseURL}/models`, {
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headers: { Authorization: `Bearer ${this.config.apiKey}` },
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signal: AbortSignal.timeout(10_000),
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});
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if (response.ok) {
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const data = (await response.json()) as { data?: Array<{ id: string }> };
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if (data.data?.length) {
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// 合并 API 返回的模型 ID 与本地元数据
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return data.data.map((m) => DeepSeekAdapter.MODEL_INFO[m.id] ?? { id: m.id });
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}
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}
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} catch {
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// API 不可用时降级
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}
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// 回退到 supportedModels(带本地元数据)
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return this.supportedModels.map((id) => DeepSeekAdapter.MODEL_INFO[id] ?? { id });
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}
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/**
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* H-2 修复: 获取上下文窗口大小(规范要求)
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*
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* v0.3.1: 优先使用配置注入的 contextWindow,回退到 MODEL_INFO 默认值。
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* DeepSeek OpenAI 兼容 API 不支持 context_window 参数,此值仅用于
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* Engine 压缩判断和前端 UI 显示。
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*/
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override getContextWindow(): number {
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// v0.3.1: 优先使用配置注入的 contextWindow
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if (typeof this.config.contextWindow === 'number' && this.config.contextWindow > 0) {
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return this.config.contextWindow;
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}
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// 回退到 MODEL_INFO
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const modelInfo = DeepSeekAdapter.MODEL_INFO[this.config.defaultModel];
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return modelInfo?.contextWindow ?? 1_000_000;
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}
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// ===== GET /user/balance =====
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/**
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* 查询账户余额
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*
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* v0.5.2 修复: DeepSeek 官方 API 实际返回 `balance_infos` 数组格式:
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* { "is_available": true, "balance_infos": [{ "currency": "CNY",
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* "total_balance": "110.00", "granted_balance": "10.00", "topped_up_balance": "100.00" }] }
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* 此前按扁平字段解析(data.total_balance)→ 永远取到 undefined → 恒显示 0。
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* 现优先取 balance_infos[0],回退扁平格式(兼容网关/代理的简化响应)。
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*
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* URL 规范化: 余额端点为 {root}/user/balance(无 /v1 前缀)。用户配置的
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* baseURL 可能带 /v1 或尾斜杠(chat 端点两种写法都合法),此处剥离后拼接。
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*/
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async getBalance(): Promise<{
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currency: string;
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totalBalance: string;
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grantedBalance: string;
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toppedUpBalance: string;
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} | null> {
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try {
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// 规范化 baseURL:去尾斜杠、去尾 /v1(余额端点在根路径下)
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const root = this.config.baseURL.replace(/\/+$/, '').replace(/\/v1$/, '');
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const response = await fetch(`${root}/user/balance`, {
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headers: { Authorization: `Bearer ${this.config.apiKey}` },
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signal: AbortSignal.timeout(10_000),
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});
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if (!response.ok) return null;
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const data = (await response.json()) as {
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is_available?: boolean;
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balance_infos?: Array<{
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currency?: string;
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total_balance?: string;
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granted_balance?: string;
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topped_up_balance?: string;
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}>;
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// 扁平格式字段(网关/代理兼容)
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currency?: string;
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total_balance?: string;
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granted_balance?: string;
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topped_up_balance?: string;
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};
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// 优先官方 balance_infos 数组,回退扁平格式
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const info = data.balance_infos?.[0] ?? data;
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return {
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currency: info.currency ?? 'CNY',
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totalBalance: info.total_balance ?? '0',
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grantedBalance: info.granted_balance ?? '0',
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toppedUpBalance: info.topped_up_balance ?? '0',
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};
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} catch {
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return null;
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}
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}
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// ========== 私有方法 ==========
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/**
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* 构建 DeepSeek 原生请求体
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*
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* DeepSeek 特有参数:
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* - thinking: { type: "enabled" } — 启用思考模式
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* - reasoning_effort — 思考强度映射
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* - stream_options: { include_usage: true } — 流式返回 usage
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*/
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private toNativeRequest(request: MetonaRequest, stream: boolean): Record<string, unknown> {
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// v0.6.2: images 处理收敛至共享层(includeImages = vision 模型才转换,
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// 非 vision 静默丢弃——正确行为,见 openai-format.ts #27 记录)
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const messages = buildOpenAICompatibleMessages(request, this.isVisionModel());
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const tools = buildOpenAICompatibleTools(request.tools);
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// v0.5.3: max_tokens 按模型上限钳制 — 引擎默认 63488 超过部分模型上限时 API 直接 400
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const modelInfo = DeepSeekAdapter.MODEL_INFO[this.config.defaultModel];
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const maxOutput = modelInfo?.maxOutputTokens ?? 384_000;
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const maxTokens = Math.min(request.params.maxTokens ?? maxOutput, maxOutput);
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const body: Record<string, unknown> = {
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model: this.config.defaultModel,
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messages,
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temperature: request.params.temperature,
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max_tokens: maxTokens,
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stream,
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};
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// v0.5.4: vision 模型图片数审计(转换在共享层完成)
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if (this.isVisionModel()) {
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const imageCount = request.messages.reduce((n, m) => n + (m.images?.length ?? 0), 0);
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if (imageCount > 0) {
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log.info(`[DeepSeek] Vision model processing ${imageCount} image(s)`);
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}
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}
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if (stream) {
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body.stream_options = { include_usage: true };
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}
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if (tools) {
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body.tools = tools;
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}
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// Thinking 模式
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// API 默认 thinking.type = "enabled",必须显式发送 disabled 才能关闭
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if (request.params.thinkingEnabled === false) {
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body.thinking = { type: 'disabled' };
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} else if (request.params.thinkingEnabled) {
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body.thinking = { type: 'enabled' };
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const effortMap: Record<string, string> = {
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low: 'high',
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medium: 'high',
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high: 'high',
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max: 'max',
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};
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// DeepSeek API 仅支持 high / max 两档,low/medium 映射为 high
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body.reasoning_effort = effortMap[request.params.thinkingEffort ?? 'high'] ?? 'high';
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}
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// 停止序列
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if (request.params.stopSequences?.length) {
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body.stop = request.params.stopSequences;
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}
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return body;
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}
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}
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