This workflow follows the HTTP Request → Telegram recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "Telegram Weather Chatbot",
"nodes": [
{
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"id": "telegram-trigger",
"name": "Telegram Trigger",
"type": "n8n-nodes-base.telegramTrigger",
"typeVersion": 1.1,
"position": [
0,
0
],
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "set-original-text",
"name": "originalText",
"value": "={{ $json.message.text }}",
"type": "string"
},
{
"id": "set-chat-id",
"name": "chatId",
"value": "={{ $json.message.chat.id }}",
"type": "number"
}
]
},
"options": {}
},
"id": "set-captura",
"name": "Captura Mensagem",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
220,
0
]
},
{
"parameters": {
"method": "POST",
"url": "https://openrouter.ai/api/v1/chat/completions",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "=Bearer {{ $env.OPENROUTER_API_KEY }}"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"model\": \"qwen/qwen3-vl-235b-a22b-thinking\",\n \"models\": [\"qwen/qwen3-vl-235b-a22b-thinking\", \"qwen/qwen3-next-80b-a3b-instruct:free\"],\n \"route\": \"fallback\",\n \"temperature\": 0.1,\n \"max_tokens\": 80,\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"Voc\u00ea extrai nomes de cidades brasileiras. Responda APENAS com: Cidade,UF,BR (sempre termine com ,BR). Exemplos: S\u00e3o Paulo,SP,BR | Belo Horizonte,MG,BR | Colatina,ES,BR. Apelidos: sampa=S\u00e3o Paulo,SP,BR, BH=Belo Horizonte,MG,BR, floripa=Florian\u00f3polis,SC,BR, poa=Porto Alegre,RS,BR, rio=Rio de Janeiro,RJ,BR, brasilia=Bras\u00edlia,DF,BR, cwb=Curitiba,PR,BR. Se n\u00e3o identificar, responda ERRO. Sem explica\u00e7\u00f5es.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"{{ $json.originalText }}\"\n }\n ]\n}",
"options": {
"response": {
"response": {
"neverError": true
}
}
}
},
"id": "llm-extrai-cidade",
"name": "LLM Extrai Cidade",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
440,
0
]
},
{
"parameters": {
"jsCode": "const items = $input.all();\nconst results = [];\n\nfor (const item of items) {\n const data = item.json;\n const chatId = $('Captura Mensagem').first().json.chatId;\n const originalText = $('Captura Mensagem').first().json.originalText || '';\n let queue = '';\n\n try {\n const llmResponse = data.choices[0].message.content.trim();\n const cleaned = llmResponse.replace(/<think>[\\s\\S]*?<\\/think>/g, '').trim();\n if (cleaned && cleaned !== 'ERRO') {\n queue = cleaned;\n }\n } catch (e) {\n // LLM falhou, usa fallback\n }\n\n // Fallback determin\u00edstico \u2014 extra\u00e7\u00e3o e normaliza\u00e7\u00e3o sem LLM\n if (!queue) {\n let text = originalText.trim();\n // Remove frases comuns para extrair s\u00f3 o nome da cidade\n text = text.replace(/^(qual o clima em|clima em|temperatura de|temperatura em|como .* em|me .* de)\\s*/i, '').trim();\n // Remove pontua\u00e7\u00e3o final\n text = text.replace(/[?.!]+$/g, '').trim();\n // Normaliza separadores: 'S\u00e3o Paulo SP' \u2192 'S\u00e3o Paulo,SP'\n // Detecta UF de 2 letras no final separada por espa\u00e7o\n text = text.replace(/\\s+([A-Za-z]{2})$/, ',$1');\n // Split na v\u00edrgula, trim de cada parte, e remonta\n const parts = text.split(',').map(p => p.trim()).filter(p => p.length > 0);\n // Se tem 2 partes (Cidade,UF), adiciona BR\n if (parts.length === 2 && parts[1].length === 2) {\n parts.push('BR');\n }\n queue = parts.join(',');\n }\n\n results.push({\n json: { queue, chatId, originalText }\n });\n}\n\nreturn results;"
},
"id": "code-parse-llm",
"name": "Processa Resposta LLM",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
660,
0
]
},
{
"parameters": {
"method": "GET",
"url": "https://api.openweathermap.org/data/2.5/weather",
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "q",
"value": "={{ $json.queue }}"
},
{
"name": "units",
"value": "metric"
},
{
"name": "lang",
"value": "pt_br"
},
{
"name": "appid",
"value": "={{ $env.OPENWEATHER_API_KEY }}"
}
]
},
"options": {
"response": {
"response": {
"neverError": true
}
}
}
},
"id": "http-openweather",
"name": "Consulta OpenWeather",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
880,
0
]
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "loose"
},
"conditions": [
{
"id": "condition-cod-200",
"leftValue": "={{ $json.cod }}",
"rightValue": 200,
"operator": {
"type": "number",
"operation": "equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"id": "if-valida-resposta",
"name": "Resposta V\u00e1lida?",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
1100,
0
]
},
{
"parameters": {
"method": "POST",
"url": "https://openrouter.ai/api/v1/chat/completions",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "=Bearer {{ $env.OPENROUTER_API_KEY }}"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"model\": \"qwen/qwen3-vl-235b-a22b-thinking\",\n \"models\": [\"qwen/qwen3-vl-235b-a22b-thinking\", \"qwen/qwen3-next-80b-a3b-instruct:free\"],\n \"route\": \"fallback\",\n \"temperature\": 0.5,\n \"max_tokens\": 150,\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"Voc\u00ea \u00e9 um assistente de clima simp\u00e1tico. Receba os dados do clima e responda de forma curta, educada e natural em portugu\u00eas brasileiro. Use emojis de clima. Inclua a temperatura e a condi\u00e7\u00e3o. M\u00e1ximo 2 frases.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Cidade: {{ $json.name }}, Temperatura: {{ $json.main.temp }}\u00b0C, Condi\u00e7\u00e3o: {{ $json.weather[0].description }}, Humidade: {{ $json.main.humidity }}%, Vento: {{ $json.wind.speed }} m/s\"\n }\n ]\n}",
"options": {
"response": {
"response": {
"neverError": true
}
}
}
},
"id": "llm-resposta-sucesso",
"name": "LLM Resposta Sucesso",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1320,
-120
]
},
{
"parameters": {
"jsCode": "const items = $input.all();\nconst results = [];\n\nfor (const item of items) {\n const data = item.json;\n const chatId = $('Processa Resposta LLM').first().json.chatId;\n let message = '';\n\n try {\n const llmResponse = data.choices[0].message.content.trim();\n const cleaned = llmResponse.replace(/<think>[\\s\\S]*?<\\/think>/g, '').trim();\n if (cleaned) {\n message = cleaned;\n }\n } catch (e) {\n // LLM falhou\n }\n\n // Fallback determin\u00edstico\n if (!message) {\n const weather = $('Resposta V\u00e1lida?').first().json;\n const cidade = weather.name || 'Desconhecida';\n const temp = Math.round(weather.main.temp);\n const desc = weather.weather[0].description || '';\n message = `\ud83c\udf24\ufe0f A temperatura em ${cidade} \u00e9 de ${temp}\u00b0C.\\nCondi\u00e7\u00e3o: ${desc}.`;\n }\n\n results.push({\n json: { chatId, message }\n });\n}\n\nreturn results;"
},
"id": "code-formata-sucesso",
"name": "Formata Sucesso",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1540,
-120
]
},
{
"parameters": {
"chatId": "={{ $json.chatId }}",
"text": "={{ $json.message }}",
"additionalFields": {}
},
"id": "telegram-send-sucesso",
"name": "Envia Temperatura",
"type": "n8n-nodes-base.telegram",
"typeVersion": 1.2,
"position": [
1760,
-120
],
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"method": "POST",
"url": "https://openrouter.ai/api/v1/chat/completions",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "=Bearer {{ $env.OPENROUTER_API_KEY }}"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"model\": \"qwen/qwen3-vl-235b-a22b-thinking\",\n \"models\": [\"qwen/qwen3-vl-235b-a22b-thinking\", \"qwen/qwen3-next-80b-a3b-instruct:free\"],\n \"route\": \"fallback\",\n \"temperature\": 0.3,\n \"max_tokens\": 120,\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"Voc\u00ea \u00e9 um assistente de clima simp\u00e1tico. O usu\u00e1rio pediu o clima de uma cidade que n\u00e3o foi encontrada. Responda de forma educada em portugu\u00eas brasileiro, informando que n\u00e3o encontrou a cidade e sugerindo o formato Cidade,UF (exemplo: S\u00e3o Paulo,SP). Use emoji \u274c. M\u00e1ximo 2 frases.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"A mensagem original do usu\u00e1rio foi: {{ $('Processa Resposta LLM').first().json.originalText }}\"\n }\n ]\n}",
"options": {
"response": {
"response": {
"neverError": true
}
}
}
},
"id": "llm-resposta-erro",
"name": "LLM Resposta Erro",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1320,
120
]
},
{
"parameters": {
"jsCode": "const items = $input.all();\nconst results = [];\n\nfor (const item of items) {\n const data = item.json;\n const chatId = $('Processa Resposta LLM').first().json.chatId;\n let message = '';\n\n try {\n const llmResponse = data.choices[0].message.content.trim();\n const cleaned = llmResponse.replace(/<think>[\\s\\S]*?<\\/think>/g, '').trim();\n if (cleaned) {\n message = cleaned;\n }\n } catch (e) {\n // LLM falhou\n }\n\n // Fallback determin\u00edstico\n if (!message) {\n message = '\u274c Cidade n\u00e3o encontrada. Use o formato Cidade,UF (ex.: S\u00e3o Paulo,SP).';\n }\n\n results.push({\n json: { chatId, message }\n });\n}\n\nreturn results;"
},
"id": "code-formata-erro",
"name": "Formata Erro",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1540,
120
]
},
{
"parameters": {
"chatId": "={{ $json.chatId }}",
"text": "={{ $json.message }}",
"additionalFields": {}
},
"id": "telegram-send-erro",
"name": "Envia Erro",
"type": "n8n-nodes-base.telegram",
"typeVersion": 1.2,
"position": [
1760,
120
],
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"Telegram Trigger": {
"main": [
[
{
"node": "Captura Mensagem",
"type": "main",
"index": 0
}
]
]
},
"Captura Mensagem": {
"main": [
[
{
"node": "LLM Extrai Cidade",
"type": "main",
"index": 0
}
]
]
},
"LLM Extrai Cidade": {
"main": [
[
{
"node": "Processa Resposta LLM",
"type": "main",
"index": 0
}
]
]
},
"Processa Resposta LLM": {
"main": [
[
{
"node": "Consulta OpenWeather",
"type": "main",
"index": 0
}
]
]
},
"Consulta OpenWeather": {
"main": [
[
{
"node": "Resposta V\u00e1lida?",
"type": "main",
"index": 0
}
]
]
},
"Resposta V\u00e1lida?": {
"main": [
[
{
"node": "LLM Resposta Sucesso",
"type": "main",
"index": 0
}
],
[
{
"node": "LLM Resposta Erro",
"type": "main",
"index": 0
}
]
]
},
"LLM Resposta Sucesso": {
"main": [
[
{
"node": "Formata Sucesso",
"type": "main",
"index": 0
}
]
]
},
"Formata Sucesso": {
"main": [
[
{
"node": "Envia Temperatura",
"type": "main",
"index": 0
}
]
]
},
"LLM Resposta Erro": {
"main": [
[
{
"node": "Formata Erro",
"type": "main",
"index": 0
}
]
]
},
"Formata Erro": {
"main": [
[
{
"node": "Envia Erro",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
},
"staticData": null,
"tags": [],
"triggerCount": 1,
"updatedAt": "2026-02-21T17:40:00.000Z",
"versionId": "4"
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
telegramApi
Pro
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About this workflow
Telegram Weather Chatbot. Uses telegramTrigger, httpRequest, telegram. Event-driven trigger; 12 nodes.
Source: https://github.com/fredstrey/Telegram-Weather-Chatbot---N8N/blob/2d7e0cab9187d7a2b3d3a24a36f09d3599328bea/workflow-chatbot-telegram.json — original creator credit. Request a take-down →
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