Weather Dashboard Workflow
This workflow creates a real-time weather dashboard using the weather API and AI analysis.
Note:
This workflow uses two AI Data Processing nodes, each with a tool, because the output of the first tool (Date/Time Now) is required as input for the second tool (Fetch Weather Data).
Current smaller models (≤ 8B parameters) are not able to call the available tools sequentially—they attempt to call both tools at the same time, which leads to incorrect results.
If you use a larger LLM (more than 8B parameters), you can combine both tools in a single AI Data Processing node, as larger models can more reliably call tools one after the other.
- Preview
- JSON
- Node Configuration
{
"nodes": [
{
"id": "b3d137fa-6534-4fc0-a6e0-15ee919be276",
"type": "data-source",
"position": {
"x": 100,
"y": 100
},
"data": {
"title": "Data Source",
"dataSource": {
"value": {
"text": "What is the weather like now in New York?",
"files": []
},
"type": "markdown"
}
},
"measured": {
"width": 160,
"height": 40
},
"selected": false
},
{
"id": "8a0dd721-4139-4ca4-bcc9-2624aad5b309",
"type": "ai-tool",
"position": {
"x": 640,
"y": 220
},
"data": {
"title": "Fetch Weather Data Tool",
"toolSubtype": "fetch-weather-data",
"userConfig": {
"requireToolUse": true
},
"userConfigSchema": {
"requireToolUse": {
"type": "boolean",
"description": "Require tool use (forces the LLM to always call this tool)",
"default": true
}
}
},
"measured": {
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"height": 40
},
"selected": false,
"dragging": false
},
{
"id": "ca0be528-34f5-48e2-8d89-3c50260998c3",
"type": "ai-tool",
"position": {
"x": 420,
"y": 220
},
"data": {
"title": "Date/Time Now Tool",
"toolSubtype": "date-time-now",
"userConfig": {
"requireToolUse": true
},
"userConfigSchema": {
"requireToolUse": {
"type": "boolean",
"description": "Require tool use (forces the LLM to always call this tool)",
"default": true
}
}
},
"measured": {
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"height": 40
},
"selected": false,
"dragging": false
},
{
"id": "7b0f7a40-769c-4406-a90b-2717db038e78",
"type": "llm-process",
"position": {
"x": 400,
"y": 100
},
"data": {
"title": "AI Data Processing",
"prompt": "Based on the next message request, you need to use dateTimeNow tool to obtain the current date time.\nYour sole responsibility is to provide more context to the original request from the date time point of view and nothing else.\nYou are to respond ONLY with the augmented request that includes the exact date and time information.\nDo NOT include any explanations, preambles, or descriptions about what you did.\nJust output the enhanced request directly.",
"model": "",
"maxFeedbackLoops": 0
},
"measured": {
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"height": 40
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"selected": false,
"dragging": false
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{
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"type": "llm-process",
"position": {
"x": 620,
"y": 100
},
"data": {
"title": "AI Data Processing",
"model": "",
"prompt": "You need to use fetchWeatherData tool to get current weather information for the requested location.\nOutput the weather data including temperature, conditions, humidity, and wind speed.\nFormat the output in Markdown.\nDo NOT include any explanations, preambles, or descriptions about what you did.\nJust output the weather information directly.",
"message": {},
"format": {},
"maxFeedbackLoops": 0,
"maxToolRetries": 5
},
"measured": {
"width": 160,
"height": 40
},
"selected": false
},
{
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"type": "data-flow-spy",
"position": {
"x": 860,
"y": 100
},
"data": {
"title": "Data Flow Spy"
},
"measured": {
"width": 120,
"height": 40
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"selected": false,
"dragging": false
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{
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"position": {
"x": 640,
"y": 0
},
"data": {
"title": "Data Flow Spy"
},
"measured": {
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"edges": [
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"target": "7b0f7a40-769c-4406-a90b-2717db038e78",
"animated": false
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{
"type": "smoothstep",
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"sourceHandle": "right-source",
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"targetHandle": "tools-target",
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{
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"type": "smoothstep",
"animated": false,
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"sourceHandle": "right-source",
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"targetHandle": "left-target",
"id": "xy-edge__7b0f7a40-769c-4406-a90b-2717db038e78right-source-e94b755b-fcd8-4a87-9174-d33e44c9db7bleft-target"
},
{
"type": "smoothstep",
"animated": false,
"source": "e94b755b-fcd8-4a87-9174-d33e44c9db7b",
"sourceHandle": "right-source",
"target": "3211e250-9339-4d0f-afaf-9fa3f8ce1ddc",
"targetHandle": "left-target",
"id": "xy-edge__e94b755b-fcd8-4a87-9174-d33e44c9db7bright-source-3211e250-9339-4d0f-afaf-9fa3f8ce1ddc1left-target"
},
{
"type": "smoothstep",
"animated": false,
"source": "7b0f7a40-769c-4406-a90b-2717db038e78",
"sourceHandle": "right-source",
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"targetHandle": "left-target",
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]
}
- Data Source
- Input:
"What is the weather like now in New York?"
- Input:
- AI Data Processing (Date/Time Context)
- Prompt: Augments the weather request with current date and time information using the dateTimeNow tool
- Tool: Date/Time Now Tool
- Model: llama3.1:8b
- AI Data Processing (Weather Fetch)
- Prompt: Fetches current weather data using fetchWeatherData tool and formats the output
- Tool: Fetch Weather Data Tool
- Model: llama3.2:3b
- Data Flow Spy
- Output: Displays the weather information with conditions, temperature, humidity, and wind speed
- (Optional) Data Flow Spy
- Output: Used for inspecting intermediate data (time-augmented request)
Steps
- Provide Input: The workflow starts with a Data Source node that supplies the prompt: "What is the weather like now in New York?"
- Add Date/Time Context: The first AI Data Processing node uses the Date/Time Now Tool to obtain the current date and time, then augments the original weather request with this temporal context.
- Fetch Weather Data: The second AI Data Processing node receives the time-augmented request and uses the Fetch Weather Data Tool to retrieve current weather information, then formats the results in Markdown.
- Display Result: The Data Flow Spy node displays the final weather information including temperature, conditions, humidity, and wind speed.
- (Optional) Inspect Intermediate Data: An additional Data Flow Spy node can be used to inspect the time-augmented request between the two AI processing steps.