Files
metona-ai-desktop/electron/harness/agent-loop/parser.ts
T
thzxx 1d185db6b3 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
2026-06-27 21:33:27 +08:00

136 lines
3.9 KiB
TypeScript

/**
* Agent Loop — LLM 输出解析器
*
* 使用 Zod Schema 定义 ReAct 输出格式。
* 优先使用 Structured Output / Tool Calling,降级为正则解析。
*
* @see docs/生产级通用 AI Agent 智能体桌面应用:完整设计与构建指南.html — 第四章
*/
import { z } from 'zod';
import type { Thought } from './types';
import type { MetonaToolCall } from '../types';
/** 思考内容 Schema */
export const ThoughtSchema = z.object({
type: z.literal('thought'),
content: z.string().describe('当前的推理思考过程'),
needs_tool: z.boolean().describe('是否需要调用工具'),
});
/** 工具调用 Schema */
export const ToolCallSchema = z.object({
type: z.literal('tool_call'),
tool_name: z.string().describe('要调用的工具名称'),
args: z.record(z.unknown()).describe('工具参数'),
reasoning: z.string().describe('为什么选择这个工具'),
});
/** 最终答案 Schema */
export const FinalAnswerSchema = z.object({
type: z.literal('final_answer'),
answer: z.string().describe('最终答案内容'),
confidence: z.number().min(0).max(1).describe('答案置信度'),
summary: z.string().describe('简要总结'),
});
/** ReAct 步骤联合类型 */
export const ReActStepSchema = z.discriminatedUnion('type', [
ThoughtSchema,
ToolCallSchema,
FinalAnswerSchema,
]);
/**
* LLM 输出解析器
*/
export function parseLLMOutput(rawText: string, iteration: number): {
thought?: Thought;
toolCalls?: MetonaToolCall[];
} {
// 尝试 JSON 解析(Structured Output 模式)
try {
const jsonStart = rawText.indexOf('{');
const jsonEnd = rawText.lastIndexOf('}');
if (jsonStart !== -1 && jsonEnd !== -1) {
const jsonStr = rawText.slice(jsonStart, jsonEnd + 1);
const parsed = JSON.parse(jsonStr);
const validated = ReActStepSchema.safeParse(parsed);
if (validated.success) {
const data = validated.data;
switch (data.type) {
case 'thought':
return {
thought: {
id: `thought-${iteration}`,
content: data.content,
timestamp: Date.now(),
iteration,
},
};
case 'tool_call':
return {
toolCalls: [{
id: `call-${iteration}-${Date.now()}`,
name: data.tool_name,
args: data.args as Record<string, unknown>,
timestamp: Date.now(),
iteration,
}],
};
case 'final_answer':
return {
thought: {
id: `answer-${iteration}`,
content: `[FINAL ANSWER]\n${data.answer}\n\nConfidence: ${data.confidence}\nSummary: ${data.summary}`,
timestamp: Date.now(),
iteration,
},
};
}
}
}
} catch {
// JSON 解析失败,降级到正则提取
}
// 降级:正则提取
return parseWithRegex(rawText, iteration);
}
/** 正则降级解析 */
function parseWithRegex(text: string, iteration: number): {
thought?: Thought;
toolCalls?: MetonaToolCall[];
} {
const result: { thought?: Thought; toolCalls?: MetonaToolCall[] } = {};
const thoughtMatch = text.match(/Thought:\s*([\s\S]*?)(?=Action:|$)/i);
if (thoughtMatch) {
result.thought = {
id: `thought-${iteration}`,
content: thoughtMatch[1].trim(),
timestamp: Date.now(),
iteration,
};
}
const actionMatch = text.match(/Action:\s*(\w+)\s*\n\s*Action Input:\s*({[\s\S]*?})\s*(?=\n\n|Observation:|$)/i);
if (actionMatch) {
try {
result.toolCalls = [{
id: `call-${iteration}-${Date.now()}`,
name: actionMatch[1].trim(),
args: JSON.parse(actionMatch[2]),
timestamp: Date.now(),
iteration,
}];
} catch {
// 参数 JSON 解析失败
}
}
return result;
}