SpaceXAI发布Grok Bot：自主AI代理开启工作流自动化新纪元

# 伪代码示例：多代理协同工作流编排
class GrokBotCoordinator:
    """Grok Bot多代理协调器"""
    
    def __init__(self):
        self.bots = {
            "engineering_bot": EngineeringBot(),
            "debugging_bot": DebuggingBot(),
            "qa_bot": QABot()
        }
    
    def handle_bug_report(self, report):
        """处理Bug报告的完整工作流"""
        # 步骤1：工程Bot复现Bug并创建工单
        ticket = self.bots["engineering_bot"].reproduce_and_create_ticket(report)
        
        # 步骤2：通过共享线程传递上下文给调试Bot
        self.bots["debugging_bot"].receive_context(ticket)
        
        # 步骤3：调试Bot进行根因分析
        root_cause = self.bots["debugging_bot"].analyze(ticket)
        
        # 步骤4：等待人类审批（如需要）
        if self.needs_human_approval(root_cause):
            return self.request_human_input(root_cause)
        
        # 步骤5：应用修复
        return self.bots["debugging_bot"].apply_fix(root_cause)
    
    def needs_human_approval(self, root_cause):
        """判断是否需要人类审批"""
        high_risk_patterns = [
            "database_schema_change",
            "production_config_modification",
            "security_sensitive_fix"
        ]
        return any(pattern in root_cause.tags for pattern in high_risk_patterns)

{
  "tools": [
    {
      "name": "create_ticket",
      "description": "在项目管理系统中创建工单",
      "inputSchema": {
        "type": "object",
        "properties": {
          "title": {"type": "string", "description": "工单标题"},
          "description": {"type": "string", "description": "工单描述"},
          "priority": {"type": "string", "enum": ["low", "medium", "high", "critical"]},
          "assignee": {"type": "string", "description": "指派给谁"}
        },
        "required": ["title", "description"]
      }
    },
    {
      "name": "query_inbox",
      "description": "查询邮箱中的未读邮件",
      "inputSchema": {
        "type": "object",
        "properties": {
          "folder": {"type": "string", "default": "inbox"},
          "unread_only": {"type": "boolean", "default": true},
          "limit": {"type": "number", "default": 50}
        }
      }
    },
    {
      "name": "schedule_meeting",
      "description": "安排会议并发送邀请",
      "inputSchema": {
        "type": "object",
        "properties": {
          "title": {"type": "string"},
          "participants": {"type": "array", "items": {"type": "string"}},
          "duration_minutes": {"type": "number", "default": 30},
          "preferred_time": {"type": "string", "description": "ISO 8601时间"}
        },
        "required": ["title", "participants"]
      }
    }
  ]
}

# Grok Bot + Dogwood 集成示例：代理行为治理
class GrokBotGovernance:
    """Grok Bot行为治理框架（基于Dogwood概念）"""
    
    # 时序策略定义
    TEMPORAL_POLICIES = {
        # 速率限制：1小时内最多调用外部API 10次
        "api_rate_limit": {
            "action": "call_external_api",
            "rule": "count_within(duration('PT1H'), action) <= 10",
            "on_violation": "deny_and_notify"
        },
        # 审批门控：修改生产环境前必须获得人类审批
        "approval_gate": {
            "action": "modify_production",
            "rule": "formerly(duration('PT24H'), approval_granted)",
            "on_violation": "request_human_approval"
        },
        # 数据隔离：访问敏感数据后禁止外部调用
        "data_isolation": {
            "action": "call_external_service",
            "rule": "NOT formerly(duration('PT24H'), accessed_confidential_data)",
            "on_violation": "deny_and_log"
        },
        # 配额管理：每日累计转账不超过$5000
        "transfer_quota": {
            "action": "execute_transfer",
            "rule": "sum_within(duration('PT24H'), request.amount) < 5000",
            "on_violation": "deny_with_reason"
        }
    }
    
    def evaluate_action(self, bot_id, action, action_input, event_history):
        """评估Bot行为是否被策略允许"""
        for policy_name, policy in self.TEMPORAL_POLICIES.items():
            if self.matches_action(action, policy):
                if not self.check_temporal_condition(event_history, policy):
                    return {
                        "allowed": False,
                        "policy": policy_name,
                        "action": policy["on_violation"],
                        "bot_id": bot_id
                    }
        return {"allowed": True, "bot_id": bot_id}