Send Lark Webhook Notifications
Use the Tool Call module to send Lark webhook notifications
This article shows how to send a simple Lark webhook notification. The same approach applies to other types of notifications.
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1. Set Up the Lark Bot
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2. Import Workflow Configuration
Copy the configuration below, click the import button in the top-right corner of "Advanced Orchestration", and import it. After importing, paste the webhook URL provided by Lark into the "HTTP Request" module.
Workflow Configuration
{
"nodes": [
{
"nodeId": "userGuide",
"name": "系统配置",
"intro": "可以配置应用的系统参数",
"avatar": "/imgs/workflow/userGuide.png",
"flowNodeType": "userGuide",
"position": {
"x": 303.41163758039283,
"y": -552.297639861266
},
"version": "481",
"inputs": [],
"outputs": []
},
{
"nodeId": "workflowStartNodeId",
"name": "流程开始",
"intro": "",
"avatar": "/imgs/workflow/userChatInput.svg",
"flowNodeType": "workflowStart",
"position": {
"x": 529.3935295017156,
"y": 197.114018410347
},
"version": "481",
"inputs": [
{
"key": "userChatInput",
"renderTypeList": [
"reference",
"textarea"
],
"valueType": "string",
"label": "用户问题",
"required": true,
"toolDescription": "用户问题"
}
],
"outputs": [
{
"id": "userChatInput",
"key": "userChatInput",
"label": "core.module.input.label.user question",
"valueType": "string",
"type": "static"
}
]
},
{
"nodeId": "u6IAOEssxoZT",
"name": "工具调用",
"intro": "通过AI模型自动选择一个或多个功能块进行调用，也可以对插件进行调用。",
"avatar": "/imgs/workflow/tool.svg",
"flowNodeType": "tools",
"showStatus": true,
"position": {
"x": 1003.146243538873,
"y": 48.52327869406625
},
"version": "481",
"inputs": [
{
"key": "model",
"renderTypeList": [
"settingLLMModel",
"reference"
],
"label": "core.module.input.label.aiModel",
"valueType": "string",
"llmModelType": "all",
"value": "gpt-3.5-turbo"
},
{
"key": "temperature",
"renderTypeList": [
"hidden"
],
"label": "",
"value": 0,
"valueType": "number",
"min": 0,
"max": 10,
"step": 1
},
{
"key": "maxToken",
"renderTypeList": [
"hidden"
],
"label": "",
"value": 2000,
"valueType": "number",
"min": 100,
"max": 4000,
"step": 50
},
{
"key": "systemPrompt",
"renderTypeList": [
"textarea",
"reference"
],
"max": 3000,
"valueType": "string",
"label": "core.ai.Prompt",
"description": "core.app.tip.chatNodeSystemPromptTip",
"placeholder": "core.app.tip.chatNodeSystemPromptTip"
},
{
"key": "history",
"renderTypeList": [
"numberInput",
"reference"
],
"valueType": "chatHistory",
"label": "core.module.input.label.chat history",
"description": "最多携带多少轮对话记录",
"required": true,
"min": 0,
"max": 50,
"value": 6
},
{
"key": "userChatInput",
"renderTypeList": [
"reference",
"textarea"
],
"valueType": "string",
"label": "用户问题",
"required": true,
"value": [
"workflowStartNodeId",
"userChatInput"
]
}
],
"outputs": [
{
"id": "answerText",
"key": "answerText",
"label": "core.module.output.label.Ai response content",
"description": "core.module.output.description.Ai response content",
"valueType": "string",
"type": "static"
}
]
},
{
"nodeId": "fvY5hb0K646V",
"name": "工具调用终止",
"intro": "该模块需配置工具调用使用。当该模块被执行时，本次工具调用将会强制结束，并且不再调用AI针对工具调用结果回答问题。",
"avatar": "/imgs/workflow/toolStop.svg",
"flowNodeType": "stopTool",
"position": {
"x": 2367.838362362707,
"y": 732.355988936165
},
"version": "481",
"inputs": [],
"outputs": []
},
{
"nodeId": "x9rN2a4WnZmt",
"name": "HTTP 请求",
"intro": "向飞书发送一个webhooks通知信息。",
"avatar": "/imgs/workflow/http.png",
"flowNodeType": "httpRequest468",
"showStatus": true,
"position": {
"x": 1623.9214305901633,
"y": 22.777089001645862
},
"version": "486",
"inputs": [
{
"key": "system_addInputParam",
"renderTypeList": [
"addInputParam"
],
"valueType": "dynamic",
"label": "",
"required": false,
"description": "core.module.input.description.HTTP Dynamic Input",
"editField": {
"key": true,
"valueType": true
}
},
{
"valueType": "string",
"renderTypeList": [
"reference"
],
"key": "text",
"label": "text",
"toolDescription": "发送的消息",
"required": true,
"canEdit": true,
"editField": {
"key": true,
"description": true
}
},
{
"key": "system_httpMethod",
"renderTypeList": [
"custom"
],
"valueType": "string",
"label": "",
"value": "POST",
"required": true
},
{
"key": "system_httpReqUrl",
"renderTypeList": [
"hidden"
],
"valueType": "string",
"label": "",
"description": "core.module.input.description.Http Request Url",
"placeholder": "https://api.ai.com/getInventory",
"required": false,
"value": ""
},
{
"key": "system_httpHeader",
"renderTypeList": [
"custom"
],
"valueType": "any",
"value": [],
"label": "",
"description": "core.module.input.description.Http Request Header",
"placeholder": "core.module.input.description.Http Request Header",
"required": false
},
{
"key": "system_httpParams",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"value": [],
"label": "",
"required": false
},
{
"key": "system_httpJsonBody",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"value": "{\r\n \"msg_type\": \"text\",\r\n \"content\": {\r\n \"text\": \"{{text}}\"\r\n }\r\n}",
"label": "",
"required": false
}
],
"outputs": [
{
"id": "system_addOutputParam",
"key": "system_addOutputParam",
"type": "dynamic",
"valueType": "dynamic",
"label": "",
"editField": {
"key": true,
"valueType": true
}
},
{
"id": "error",
"key": "error",
"label": "请求错误",
"description": "HTTP请求错误信息，成功时返回空",
"valueType": "object",
"type": "static"
},
{
"id": "httpRawResponse",
"key": "httpRawResponse",
"label": "原始响应",
"required": true,
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
"valueType": "any",
"type": "static"
}
]
},
{
"nodeId": "aGHGqH2oUupj",
"name": "指定回复",
"intro": "该模块可以直接回复一段指定的内容。常用于引导、提示。非字符串内容传入时，会转成字符串进行输出。",
"avatar": "/imgs/workflow/reply.png",
"flowNodeType": "answerNode",
"position": {
"x": 2350.7077940158674,
"y": 107.32448732713493
},
"version": "481",
"inputs": [
{
"key": "text",
"renderTypeList": [
"textarea",
"reference"
],
"valueType": "any",
"required": true,
"label": "core.module.input.label.Response content",
"description": "core.module.input.description.Response content",
"placeholder": "core.module.input.description.Response content",
"value": "嘻嘻，发送成功"
}
],
"outputs": []
}
],
"edges": [
{
"source": "workflowStartNodeId",
"target": "u6IAOEssxoZT",
"sourceHandle": "workflowStartNodeId-source-right",
"targetHandle": "u6IAOEssxoZT-target-left"
},
{
"source": "u6IAOEssxoZT",
"target": "x9rN2a4WnZmt",
"sourceHandle": "selectedTools",
"targetHandle": "selectedTools"
},
{
"source": "x9rN2a4WnZmt",
"target": "fvY5hb0K646V",
"sourceHandle": "x9rN2a4WnZmt-source-right",
"targetHandle": "fvY5hb0K646V-target-left"
},
{
"source": "x9rN2a4WnZmt",
"target": "aGHGqH2oUupj",
"sourceHandle": "x9rN2a4WnZmt-source-right",
"targetHandle": "aGHGqH2oUupj-target-left"
}
],
"chatConfig": {
"variables": [
{
"id": "txq1ca",
"key": "test",
"label": "测试",
"type": "custom",
"required": true,
"maxLen": 50,
"enums": [
{
"value": ""
}
]
}
],
"questionGuide": false,
"scheduledTriggerConfig": {
"cronString": "",
"timezone": "Asia/Shanghai",
"defaultPrompt": ""
},
"_id": "66715d4bf577287d39e35ecf"
}
}3. How It Works
- Attach an HTTP module to the Tool Call with the description: "Call Lark webhook to send a notification."
- In the HTTP module's input parameters, fill in the Lark bot's webhook URL and the notification content.
- Connect the HTTP module's output to a Tool Call Terminator to force-end the tool call. Without this, the result would be sent back to the model, which would generate another response — wasting tokens.
- Also connect the HTTP module's output to a Specified Reply to directly return a success message, replacing the AI's response.
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