🎯 Zero-shot Agent

// 知识迁移机制 interface KnowledgeTransfer { // 任务相似度计算 calculateSimilarity(taskA: Task, taskB: Task): number; // 知识映射 mapKnowledge(sourceDomain: Domain, targetDomain: Domain): Mapping; // 策略迁移 transferStrategy(sourceStrategy: Strategy, targetTask: Task): Strategy; } // 任务抽象表示 interface TaskAbstraction { goal: string; // 目标 inputs: Type[]; // 输入类型 outputs: Type[]; // 输出类型 constraints: Constraint[]; // 约束条件 domain: string; // 领域 }

// 推理链示例 class ReasoningChain { async build(task: Task): Promise<Step[]> { // 1. 任务分析 const analysis = await this.analyzeTask(task); // 2. 目标分解 const subGoals = this.decomposeGoals(analysis); // 3. 策略选择 const strategies = this.selectStrategies(subGoals); // 4. 步骤生成 return strategies.map(s => s.toSteps()); } }

// OpenClaw配置 - Zero-shot Agent { "name": "universal-agent", "type": "zero-shot", "capabilities": { "taskUnderstanding": "advanced", "knowledgeRetrieval": "enabled", "reasoningChain": "auto", "fewShotFallback": "disabled" }, "knowledgeBase": { "sources": ["openclaw-docs", "web-search", "memory"], "retrieval": { "topK": 5, "threshold": 0.7 } }, "prompts": { "taskAnalysis": "分析任务需求，理解核心意图...", "strategySelection": "根据任务类型选择最佳策略...", "execution": "执行任务，确保质量..." } }

// 动态任务处理示例 class DynamicTaskHandler { async handle(task: unknown) { // 1. 零样本理解任务 const understanding = await this.agent.understand({ input: task, mode: 'zero-shot', context: this.getContext() }); // 2. 生成执行计划 const plan = await this.agent.plan(understanding); // 3. 执行（无需示例） const result = await this.agent.execute(plan); return result; } }

// zero-shot-system.ts import { OpenClaw, Agent, Task, KnowledgeBase } from 'openclaw'; class ZeroShotSystem { private agent: Agent; private knowledgeBase: KnowledgeBase; constructor() { this.knowledgeBase = new KnowledgeBase({ sources: ['openclaw-docs', 'web', 'memory'], embedding: 'text-embedding-3-large' }); this.agent = new Agent({ type: 'zero-shot', model: 'gpt-4o', capabilities: { taskUnderstanding: 'advanced', reasoning: 'chain-of-thought', knowledgeRetrieval: true } }); } async process(taskDescription: string) { // 1. 任务理解 const task = await this.understandTask(taskDescription); // 2. 知识检索 const relevantKnowledge = await this.knowledgeBase.retrieve({ query: task.intent, topK: 5, threshold: 0.7 }); // 3. 推理链构建 const reasoningChain = await this.agent.buildReasoningChain({ task, knowledge: relevantKnowledge, mode: 'zero-shot' }); // 4. 执行 const result = await this.agent.execute(reasoningChain); return { task, reasoning: reasoningChain, result, confidence: result.confidence }; } private async understandTask(description: string): Promise<Task> { const prompt = ` 分析以下任务描述，提取： 1. 核心意图 2. 输入要求 3. 输出期望 4. 约束条件 5. 所需领域知识 任务描述：${description} `; return await this.agent.analyze(prompt); } } // 使用示例 const system = new ZeroShotSystem(); // 无需示例，直接处理新任务 const result = await system.process(` 帮我分析一下最近AI行业的热点趋势， 并生成一份包含5个关键趋势的报告， 每个趋势需要包含定义、案例和未来展望。 `); console.log(result);