🎼 Agent Orchestration Framework

// 编排框架核心组件 interface OrchestrationFramework { // 工作流引擎 workflowEngine: WorkflowEngine; // Agent管理器 agentManager: AgentManager; // 状态存储 stateStore: StateStore; // 事件总线 eventBus: EventBus; // 监控器 monitor: Monitor; } // 工作流定义 interface Workflow { id: string; steps: Step[]; transitions: Transition[]; errorHandlers: ErrorHandler[]; }

// OpenClaw配置 - 内容生产编排 { "name": "content-production", "type": "orchestration", "workflow": { "steps": [ { "id": "research", "agent": "research-agent", "task": "收集AI行业最新动态", "output": "research_data" }, { "id": "outline", "agent": "outline-agent", "task": "生成文章大纲", "input": "research_data", "output": "article_outline" }, { "id": "writing", "agent": "writing-agent", "task": "撰写文章内容", "input": "article_outline", "output": "article_draft" }, { "id": "review", "agent": "review-agent", "task": "审核和优化", "input": "article_draft", "output": "final_article" } ], "transitions": [ { "from": "research", "to": "outline" }, { "from": "outline", "to": "writing" }, { "from": "writing", "to": "review" } ] } }

// 复杂业务流程编排 class BusinessWorkflowOrchestrator { async execute(workflow: Workflow) { // 1. 解析工作流 const executionPlan = this.parseWorkflow(workflow); // 2. 并行执行独立步骤 const parallelSteps = executionPlan.getParallelSteps(); await Promise.all( parallelSteps.map(step => this.executeStep(step)) ); // 3. 顺序执行依赖步骤 const sequentialSteps = executionPlan.getSequentialSteps(); for (const step of sequentialSteps) { await this.executeStep(step); } // 4. 聚合结果 return this.aggregateResults(executionPlan); } }

// orchestration-framework.ts import { OpenClaw, Workflow, Agent } from 'openclaw'; class OrchestrationFramework { private workflows: Map<string, Workflow> = new Map(); private agents: Map<string, Agent> = new Map(); async defineWorkflow(name: string, definition: WorkflowDefinition) { // 解析工作流定义 const workflow = this.parseDefinition(definition); // 验证工作流 this.validateWorkflow(workflow); // 存储工作流 this.workflows.set(name, workflow); return workflow; } async execute(workflowName: string, input: any) { const workflow = this.workflows.get(workflowName); if (!workflow) throw new Error(`Workflow ${workflowName} not found`); // 创建执行上下文 const context = new ExecutionContext(workflow, input); // 执行工作流 while (context.hasNext()) { const step = context.getNextStep(); try { // 获取Agent const agent = this.getAgent(step.agentId); // 执行步骤 const result = await agent.execute(step.task, context); // 更新上下文 context.setResult(step.id, result); // 触发事件 this.emit('step-completed', { step, result }); } catch (error) { // 错误处理 const handled = await this.handleError(step, error, context); if (!handled) throw error; } } return context.getFinalResult(); } private async handleError(step: Step, error: Error, context: ExecutionContext) { // 实现重试逻辑 if (step.retryPolicy && step.retryCount < step.retryPolicy.maxRetries) { step.retryCount++; await this.delay(step.retryPolicy.delay); return true; // 重试 } // 实现回退逻辑 if (step.fallback) { const fallbackAgent = this.getAgent(step.fallback.agentId); const result = await fallbackAgent.execute(step.fallback.task, context); context.setResult(step.id, result); return true; } return false; } } // 使用示例 const framework = new OrchestrationFramework(); // 定义工作流 await framework.defineWorkflow('content-production', { steps: [ { id: 'research', agentId: 'researcher', task: '收集资料' }, { id: 'write', agentId: 'writer', task: '撰写文章', dependsOn: ['research'] }, { id: 'review', agentId: 'reviewer', task: '审核文章', dependsOn: ['write'] } ] }); // 执行工作流 const result = await framework.execute('content-production', { topic: 'AI趋势分析' });