Azure告警规则与AzureOpenAI集成咨询：是否有内置方案或可直接推送Payload？

我们当前通过Azure DevOps流水线，使用ARM模板创建Azure LAW（Log Analytics Workspace）告警规则，借助payload.json生成每个触发告警规则的名称、描述及查询语句。

payload.json内容 #

{ "AlertRuleName":"#alertrulename", "AlertType":"#alerttype", "Severity":"#severity", "Application":"#Application", "Text":"#alertrulename fired with #searchresultcount records. #description", "SearchQuery":"#searchquery" }

ARM模板内容 #

{
    "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
    "contentVersion": "1.0.0.0",
    "parameters": {
        "actionGroupName": {
            "type": "string"
        },           
        "query": {
            "type": "string"
        },
        "logAnalyticsWorkspaceId": {
            "type": "string"
        },
        "AlertRuleName": {
            "type": "string"
        },    
        "tags": {
            "type": "object"
        },
        "schedule": {
            "type": "object"
        },       
        "severity": {
            "type": "int"           
        },                          
        "operator": {
            "type": "string"         
        },  
        "threshold": {
            "type": "int"
        },
        "autoMitigate": {
            "type": "string",
            "defaultValue": false
        },
        "enabled": {
            "type": "string"
        },        
        "customWebhookPayload": {
            "type": "object"
        },             
        "location": {
            "defaultValue": "[resourceGroup().location]",
            "type": "string"
        }    
},    
    "resources":[
        {
            "type":"Microsoft.Insights/scheduledQueryRules",
            "name": "[parameters('AlertRuleName')]",
            "apiVersion": "2018-04-16",
            "location": "[parameters('location')]",
            "tags": "[parameters('tags')]",            
            "properties":{
                "displayName": "[parameters('AlertRuleName')]",
                "description": "[parameters('AlertRuleName')]",
                "enabled": "[parameters('enabled')]",
                "source": {
                    "query": "[parameters('query')]",
                    "dataSourceId": "[parameters('logAnalyticsWorkspaceId')]",
                    "queryType":"ResultCount"
                },
                "schedule":"[parameters('schedule')]",
                "action":{
                    "odata.type": "Microsoft.WindowsAzure.Management.Monitoring.Alerts.Models.Microsoft.AppInsights.Nexus.DataContracts.Resources.ScheduledQueryRules.AlertingAction",
                    "severity": "[parameters('severity')]",
                    "aznsAction":{
                        "customWebhookPayload": "{ \"AlertRuleName\":\"#alertrulename\", \"AlertType\":\"#alerttype\", \"Severity\":\"#severity\", \"Application\":\"#{appname}#\", \"Text\":\"#alertrulename fired with #searchresultcount records. #{alertDescription}#\", \"SearchQuery\":\"#searchquery\" }",
                        "actionGroup": "[array(parameters('actionGroupName'))]"
                    },
                    "trigger":{
                        "thresholdOperator": "[parameters('operator')]",
                        "threshold": "[parameters('threshold')]"
                    }
                }
            }
        }
    ]
}

目前已为每个告警规则关联Action Group，并启用Webhook（函数应用）向Teams频道发送通知，运行符合预期。现希望增强告警通知能力，将告警与私有Azure OpenAI实例集成以获取告警原因分析及修复建议，特咨询：

1. 微软是否提供内置方案实现告警规则/告警与Azure OpenAI的集成？
2. 是否可直接将告警payload发送至Azure OpenAI实例以达成该需求？

• 关于内置集成方案：微软目前没有提供直接的内置功能，可将Azure Monitor告警规则或告警事件直接与Azure OpenAI实例绑定集成。
• 关于直接发送payload：无法直接将告警payload发送至Azure OpenAI，但可以通过扩展现有架构实现需求：
  1. 复用现有接收告警的函数应用，在其中添加调用Azure OpenAI的逻辑：将告警payload中的关键信息（如告警规则名、查询语句、触发记录数、描述等）整理成结构化的prompt，通过Azure OpenAI官方SDK或REST API发送至私有实例。
  2. 接收Azure OpenAI返回的原因分析及修复建议，将其与原告警内容合并后，再发送到Teams频道。
  3. 注意事项：需要为函数应用配置访问Azure OpenAI实例的权限（推荐使用托管标识），同时处理API调用的限流、错误重试等异常情况，确保集成稳定性。

内容的提问来源于stack exchange，提问作者Vowneee