feat: MetonaAI Desktop 初始项目

- Electron + React + TypeScript 架构
- 三栏布局: Sidebar | ChatPanel | DetailPanel
- 9 个内置工具 (文件系统/网络/记忆/命令)
- SQLite 持久化 (better-sqlite3)
- MUI 暗色/亮色主题系统
- Agent Loop ReAct 状态机引擎
- DeepSeek / Agnes AI / Ollama Provider 适配器
- MCP 协议集成
- 系统托盘 + 全局快捷键
- Tailwind CSS v4 + Tailwind Merge
- 修复: Sidebar 缺失 TextField 导入导致黑屏
This commit is contained in:
thzxx
2026-06-27 21:33:27 +08:00
commit 1d185db6b3
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/**
* Agnes AI Provider Adapter
*
* OpenAI 兼容 API,免费使用。
* 支持 Tool Calling、Thinking 模式、512K 上下文、多模态(图片 base64)。
*
* 差异于 DeepSeek
* - Thinking 模式使用 chat_template_kwargs(非 thinking 字段)
* - 图片使用 base64 格式(与 Ollama 一致,通过 images 字段传递)
* - 512K 上下文,65.5K 最大输出
*
* @see apis/agnes-ai-api-docs-20260625.html
*/
import { DeepSeekAdapter } from './deepseek.adapter';
import type { MetonaRequest } from '../types';
export class AgnesAdapter extends DeepSeekAdapter {
override readonly provider: string = 'agnes';
readonly supportedModels = ['agnes-2.0-flash'];
readonly supportsToolCalling = true;
readonly supportsThinking = true;
/**
* 覆盖原生请求构建
*
* 差异:
* 1. Thinking 模式使用 chat_template_kwargs
* 2. 图片使用 OpenAI 多模态 content 数组格式
*/
protected override toNativeRequest(request: MetonaRequest): Record<string, unknown> {
const base = super.toNativeRequest(request) as Record<string, unknown>;
// Agnes Thinking 模式:使用 chat_template_kwargs
if (request.params?.thinkingEnabled) {
delete base.thinking;
delete base.reasoning_effort;
base.chat_template_kwargs = { enable_thinking: true };
}
// Agnes 默认 max_tokens 更大
if (!request.params.maxTokens) {
base.max_tokens = 65536;
}
// 图片处理:将 images 转为 OpenAI 多模态 content 数组格式
const messages = base.messages as Array<Record<string, unknown>>;
for (let i = 0; i < messages.length; i++) {
const msg = messages[i];
// 找到对应的原始消息(跳过 system 消息)
const origMsg = request.messages.filter((m) => m.role !== 'system')[i];
if (!origMsg?.images || origMsg.images.length === 0) continue;
// 将 content 转为数组格式:[{type: "text", text: ...}, {type: "image_url", ...}]
const contentParts: Array<Record<string, unknown>> = [];
if (msg.content && typeof msg.content === 'string') {
contentParts.push({ type: 'text', text: msg.content });
}
for (const img of origMsg.images) {
contentParts.push({
type: 'image_url',
image_url: { url: img.url, detail: img.detail ?? 'auto' },
});
}
msg.content = contentParts;
}
return base;
}
}