{ "name": "Discord-Summary-Agent - PUBLIC TEMPLATE", "nodes": [ { "parameters": { "authentication": "oAuth2", "select": "user", "user": { "__rl": true, "value": "YOUR_SLACK_USER_OR_CHANNEL_ID", "mode": "id", "cachedResultName": "your_slack_destination" }, "text": "={{ $json.message.content }}", "otherOptions": { "includeLinkToWorkflow": false, "mrkdwn": true, "unfurl_links": false, "unfurl_media": false } }, "type": "n8n-nodes-base.slack", "typeVersion": 2.3, "position": [ 272, 192 ], "id": "71bf588f-dd3f-4f6f-8457-74bfeb170642", "name": "Slack" }, { "parameters": { "operation": "get", "guildId": { "__rl": true, "value": "YOUR_DISCORD_GUILD_ID", "mode": "id", "cachedResultName": "Your Discord Server", "cachedResultUrl": "https://discord.com/channels/YOUR_DISCORD_GUILD_ID" }, "channelId": { "__rl": true, "value": "YOUR_DISCORD_CHANNEL_ID", "mode": "id", "cachedResultName": "your-channel-name", "cachedResultUrl": "https://discord.com/channels/YOUR_DISCORD_GUILD_ID/YOUR_DISCORD_CHANNEL_ID" } }, "type": "n8n-nodes-base.discord", "typeVersion": 2, "position": [ -304, -144 ], "id": "ed9f4703-8fa3-4fe8-8d3d-f296cd32bd1f", "name": "Get Channel" }, { "parameters": { "amount": 2 }, "type": "n8n-nodes-base.wait", "typeVersion": 1.1, "position": [ -160, -144 ], "id": "2afbe050-ff1c-4bed-923c-c37765608dfa", "name": "Wait" }, { "parameters": { "resource": "message", "operation": "getAll", "guildId": { "__rl": true, "value": "YOUR_DISCORD_GUILD_ID", "mode": "id", "cachedResultName": "Your Discord Server", "cachedResultUrl": "https://discord.com/channels/YOUR_DISCORD_GUILD_ID" }, "channelId": { "__rl": true, "value": "YOUR_DISCORD_CHANNEL_ID", "mode": "id", "cachedResultName": "your-channel-name", "cachedResultUrl": "https://discord.com/channels/YOUR_DISCORD_GUILD_ID/YOUR_DISCORD_CHANNEL_ID" }, "options": { "simplify": true } }, "type": "n8n-nodes-base.discord", "typeVersion": 2, "position": [ -400, 96 ], "id": "d00d6edc-594a-4b38-9a6e-01dc10ccb3b6", "name": "Get Messages" }, { "parameters": { "instructions": "filter to only include messages from the prior 48 hours", "codeGeneratedForPrompt": "filter to only include messages from the prior 48 hours", "jsCode": "const messages = $input.all();\nconst currentTime = new Date();\nconst twoDaysAgo = currentTime.setDate(currentTime.getDate() - 2);\n\nconst recentMessages = messages.filter((message) => {\n const messageTime = new Date(message?.json?.timestamp);\n return messageTime >= twoDaysAgo;\n});\n\nreturn recentMessages;\n" }, "type": "n8n-nodes-base.aiTransform", "typeVersion": 1, "position": [ -272, 96 ], "id": "a33adea7-b337-4ddc-8664-85ed9fb31c75", "name": "AI Transform" }, { "parameters": { "jsCode": "// Get all input items from the AI Transform node\nconst messages = $input.all();\n\nconsole.log('=== COMBINING DISCORD MESSAGES ===');\nconsole.log('Total messages received from AI Transform:', messages.length);\n\n// Extract the JSON data from each message item\nconst messageData = messages.map(item => item.json);\n\n// Calculate some summary statistics\nconst now = new Date();\nlet oldestDate = null;\nlet newestDate = null;\n\nmessageData.forEach(msg => {\n if (msg.timestamp) {\n const msgDate = new Date(msg.timestamp);\n if (!oldestDate || msgDate < oldestDate) oldestDate = msgDate;\n if (!newestDate || msgDate > newestDate) newestDate = msgDate;\n }\n});\n\n// Calculate time range\nconst timeRangeHours = oldestDate && newestDate ? \n (newestDate - oldestDate) / (1000 * 60 * 60) : 0;\n\n// Get unique authors\nconst uniqueAuthors = [...new Set(messageData.map(msg => msg.author?.global_name || msg.author?.username))];\n\nconsole.log('Date range:', oldestDate?.toISOString(), 'to', newestDate?.toISOString());\nconsole.log('Time span:', timeRangeHours.toFixed(1), 'hours');\nconsole.log('Unique authors:', uniqueAuthors.length);\n\n// Return a single item containing all the messages and metadata\nreturn [{\n json: {\n messages: messageData,\n messageCount: messageData.length,\n timeRange: \"filtered messages\",\n summary: {\n totalMessages: messageData.length,\n uniqueAuthors: uniqueAuthors.length,\n authorNames: uniqueAuthors,\n timeSpanHours: timeRangeHours,\n oldestMessage: oldestDate ? oldestDate.toISOString() : null,\n newestMessage: newestDate ? newestDate.toISOString() : null,\n generatedAt: now.toISOString()\n }\n }\n}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -144, 96 ], "id": "4634d307-32cc-4525-84d8-724b07d6bc01", "name": "Code" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "4accdf36-0f8f-4fe4-97a1-99ed159f3e84", "leftValue": "={{ Array.isArray($json.incidents) ? $json.incidents.length : 0 }}", "rightValue": 0, "operator": { "type": "number", "operation": "gt" } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 432, 0 ], "id": "026522cd-0b96-4499-b5ed-17212437de39", "name": "If (Incidents?)" }, { "parameters": { "sendTo": "={{ $json.to }}", "subject": "={{ $json.subject }}", "message": "={{$json.text}}", "options": { "appendAttribution": false } }, "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 688, -144 ], "id": "cdce4251-ecc0-47b6-8b15-5a3f8b9cecc9", "name": "Send a message" }, { "parameters": { "assignments": { "assignments": [ { "id": "897ef1ab-591a-4645-8cb9-16032a92c2d9", "name": "to", "value": "user@yourcompany.com", "type": "string" }, { "id": "a9b28744-2df5-44cc-b8d6-d736776d2152", "name": "subject", "value": "={{ $json.emailSubject }}", "type": "string" }, { "id": "31f31962-b71e-4a86-8ab8-ba5636b8bd71", "name": "text", "value": "={{ $json.emailText }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 560, -144 ], "id": "1fe50480-b2f9-4f8f-92c6-36fb60c0498a", "name": "Edit Fields" }, { "parameters": { "jsCode": "const item = items[0].json;\n\n// If the classifier already returned a parsed object with incidents, take it.\nif (Array.isArray(item.incidents)) {\n const channel =\n item.channel ||\n (item.summary && item.summary.channelName) ||\n '#your-channel-name';\n\n const oldest =\n (item.summary && item.summary.oldestMessage) ||\n item['summary.oldestMessage'] ||\n '';\n\n const newest =\n (item.summary && item.summary.newestMessage) ||\n item['summary.newestMessage'] ||\n '';\n\n const incidents = item.incidents;\n const count = incidents.length;\n const plural = count === 1 ? '' : 's';\n const emailSubject = `Discord mod escalation: ${count} incident${plural} in ${channel}`;\n\n let emailText = 'Moderator incident report\\n\\n';\n if (count === 0) {\n emailText += 'No incidents detected in the window.\\n';\n } else {\n for (let i = 0; i < incidents.length; i++) {\n const it = incidents[i] || {};\n emailText +=\n `${i + 1}) ${(it.severity || 'unknown').toUpperCase()} | ${it.action || 'other'}\\n` +\n `Time: ${it.timestamp || 'unknown'}\\n` +\n `Moderator: ${it.moderator || 'unknown'}\\n` +\n `Member: ${it.member || 'unknown'}\\n` +\n `Summary: ${it.summary || 'n/a'}`;\n if (i < incidents.length - 1) emailText += '\\n\\n';\n }\n }\n emailText += `\\n\\nChannel: ${channel}\\nWindow: ${oldest} to ${newest}`;\n\n return [{ json: { channel, summary: { oldestMessage: oldest, newestMessage: newest }, incidents, emailSubject, emailText } }];\n}\n\n// Otherwise, extract text from common LLM shapes and parse.\nlet content = '';\nif (typeof item.raw_content === 'string' && item.raw_content.trim() !== '') {\n content = item.raw_content;\n} else if (item?.output) {\n // LangChain OpenAI node usually uses `output`\n content = item.output;\n} else if (item?.choices?.[0]?.message?.content) {\n content = item.choices[0].message.content;\n} else if (item?.data?.[0]?.text) {\n content = item.data[0].text;\n} else if (typeof item.text === 'string') {\n content = item.text;\n} else if (typeof item.content === 'string') {\n content = item.content;\n}\n\n// Parse the JSON string\nlet incidents = [];\nif (typeof content === 'string') {\n try {\n const cleaned = content.replace(/^```(?:json)?\\s*|\\s*```$/g, '');\n const obj = JSON.parse(cleaned);\n if (obj && Array.isArray(obj.incidents)) incidents = obj.incidents;\n } catch (e) {\n // leave incidents as []\n }\n}\n\n// Carry forward window fields if present\nconst channel =\n item.channel ||\n (item.summary && item.summary.channelName) ||\n '#your-channel-name';\n\nconst oldest =\n (item.summary && item.summary.oldestMessage) ||\n item['summary.oldestMessage'] ||\n '';\n\nconst newest =\n (item.summary && item.summary.newestMessage) ||\n item['summary.newestMessage'] ||\n '';\n\nconst count = Array.isArray(incidents) ? incidents.length : 0;\nconst plural = count === 1 ? '' : 's';\nconst emailSubject = `Discord mod escalation: ${count} incident${plural} in ${channel}`;\n\nlet emailText = 'Moderator incident report\\n\\n';\nif (count === 0) {\n emailText += 'No incidents detected in the window.\\n';\n} else {\n for (let i = 0; i < incidents.length; i++) {\n const it = incidents[i] || {};\n emailText +=\n `${i + 1}) ${(it.severity || 'unknown').toUpperCase()} | ${it.action || 'other'}\\n` +\n `Time: ${it.timestamp || 'unknown'}\\n` +\n `Moderator: ${it.moderator || 'unknown'}\\n` +\n `Member: ${it.member || 'unknown'}\\n` +\n `Summary: ${it.summary || 'n/a'}`;\n if (i < incidents.length - 1) emailText += '\\n\\n';\n }\n}\nemailText += `\\n\\nChannel: ${channel}\\nWindow: ${oldest} to ${newest}`;\n\nreturn [{ json: { channel, summary: { oldestMessage: oldest, newestMessage: newest }, incidents, emailSubject, emailText } }];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 272, 0 ], "id": "a10ab184-7922-41a0-9125-8bbce38a77a5", "name": "Parse Incidents JSON" }, { "parameters": { "rule": { "interval": [ { "field": "weeks", "triggerAtDay": [ 1, 3, 5 ], "triggerAtHour": 8 } ] } }, "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.2, "position": [ -464, -144 ], "id": "bb8111bd-3150-4d8c-adc1-d344078afb8b", "name": "Every MWF at 8am" }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-5.4-mini", "mode": "list", "cachedResultName": "GPT-5.4-MINI" }, "messages": { "values": [ { "content": "=# You analyze a Discord channel’s last 48 hours of messages and return STRICT JSON only.\n\n## Rules:\n- Return valid JSON only. No prose. No code fences.\n- Top-level object must include: { \"incidents\": [...] }\n- \"incidents\" is an array of 0+ objects. Empty array if none.\n- Each incident object:\n {\n \"timestamp\": \"ISO 8601 or readable time\",\n \"moderator\": \"username or id\",\n \"member\": \"username or id\",\n \"action\": \"warn|remind_rules|mute|kick|ban|lock_thread|other\",\n \"severity\": \"low|medium|high\",\n \"summary\": \"1-2 sentence description of what happened and why it required moderation\"\n }\n\n## Criteria (what counts as an incident):\n- A moderator explicitly reminds rules, locks a thread, deletes a message for rules, times out a member, or kicks/bans.\n- Disputes where a mod intervention occurs, even if resolved quickly.\n\n\n## Moderator usernames\nThis is the list of moderator usernames: Chicken, Hailey, Kevlar, Kuno, Omi, [YOURTEAM] Justin S., YourCompany Team\n\n## Example output with incidents:\n{\n \"incidents\": [\n {\n \"timestamp\": \"2025-09-28T23:05:12Z\",\n \"moderator\": \"mod_aurora\",\n \"member\": \"user_ryx\",\n \"action\": \"remind_rules\",\n \"severity\": \"low\",\n \"summary\": \"Moderator reminded user about anti-spoiler policy after posting untagged spoilers.\"\n }\n ]\n}\n\n## Example output with no incidents:\n{ \"incidents\": [] }\n\n## Severity rubric:\n- low: gentle reminder, minor off-topic nudge, first warning.\n- medium: repeated issues, heated argument requiring firm mod action, deletions.\n- high: mutes/timeouts/kicks/bans, harassment/hate speech, safety concerns." }, { "content": "=Analyze ONLY this data and return STRICT JSON as instructed. Do not wrap in code fences.\n\n{{ JSON.stringify($json, null, 2) }}\n" } ] }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ 0, 0 ], "id": "6ea9c268-93c1-4537-ada1-0ae6af29336b", "name": "Mod Incident Classifier (GPT 5.4 mini)" }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-5.4-mini", "mode": "list", "cachedResultName": "GPT-5.4-MINI" }, "messages": { "values": [ { "content": "=# Discord Channel Summary Generator\n\nYou are a Discord channel summary generator. You will receive JSON data containing Discord messages that have been pre-filtered to the last 48 hours from Your Discord Server server's #your-channel-name channel.\n\n## Your Task:\nAnalyze ONLY the messages provided in the input JSON and create a summary. Do not use any external knowledge or make assumptions beyond what's in the data.\n\n## Expected Input Format:\n```json\n{\n \"messages\": [array of message objects],\n \"messageCount\": number,\n \"summary\": {metadata object}\n}\n```\n\n## Instructions:\n1. Read through ALL messages in the \"messages\" array\n2. Count actual participants by looking at author.global_name or author.username\n3. Identify discussion topics from the actual message content\n4. Note timestamps to understand activity patterns\n5. Reference specific messages and usernames in your summary\n\n## Output Format:\nCreate a Slack-formatted summary with:\n\n*📊 48-Hour Activity Overview*\n- Total messages: [actual count]\n- Most Active participants: [actual usernames, up to a maximum of 5 most active participants based on their message count, with message count in parentheses]\n\n*🔥 Main Discussion Topics*\n- [Extract from actual message content to summarize 3-5 main discussion topics]\n- [Quote relevant messages if helpful]\n\n*💬 Key Conversations* \n- [Moderator input or intervention (Chicken, Hailey, Kevlar, Kuno, Omi, [YOURTEAM] Justin S., YourCompany Team)]\n- [messages or topics that elicited a lot of responses or more debate]\n\n*⭐ Overall Summary*\n- [brief high level summary of the 48-hour snapshot]\n\n## Critical Rules:\n- Use ONLY the provided message data\n- Include actual message content/quotes sparingly, only when the topic is inflammatory or eliciting a moderator response\n- If no messages about a topic, don't mention that topic\n- Be specific and factual based on the input data\n- the output (total message length) MUST BE NO MORE than 300 words\n\n## Other Instructions:\n\nDo not end the message with any offers to follow up or provide more information or encouragement for the team -- just end the message after the overall summary.\n\nDo not address the Slack message to anyone or say \"hi team\" or similar, simply start with the bolded message title \"48 HOURS #SAGA-COMMON-ROOM SUMMARY\" (use Discord Markdown to put it in italics)", "role": "system" }, { "content": "==Please analyze this Discord channel data and create a single summary:\n\nCOMPLETE DATA STRUCTURE:\n{{ JSON.stringify($json, null, 2) }}\n\nMESSAGES TO ANALYZE:\n{{ $json.messages.map(msg => `\nTIMESTAMP: ${msg.timestamp}\nAUTHOR: ${msg.author.global_name || msg.author.username}\nCONTENT: ${msg.content}\n---`).join('') }}\n\nSUMMARY STATS:\n- Total Messages: {{ $json.messageCount }}\n- Unique Authors: {{ $json.summary.uniqueAuthors }}\n- Time Range: {{ $json.summary.oldestMessage }} to {{ $json.summary.newestMessage }}\n\nPlease create a summary based ONLY on the {{ $json.messageCount }} messages listed above." } ] }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ 0, 192 ], "id": "17d9bd67-b716-4990-8634-a08088fc57b5", "name": "GPT 5.4 mini" } ], "connections": { "Get Channel": { "main": [ [ { "node": "Wait", "type": "main", "index": 0 } ] ] }, "Wait": { "main": [ [ { "node": "Get Messages", "type": "main", "index": 0 } ] ] }, "Get Messages": { "main": [ [ { "node": "AI Transform", "type": "main", "index": 0 } ] ] }, "AI Transform": { "main": [ [ { "node": "Code", "type": "main", "index": 0 } ] ] }, "Code": { "main": [ [ { "node": "GPT 5.4 mini", "type": "main", "index": 0 }, { "node": "Mod Incident Classifier (GPT 5.4 mini)", "type": "main", "index": 0 } ] ] }, "If (Incidents?)": { "main": [ [ { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "Edit Fields": { "main": [ [ { "node": "Send a message", "type": "main", "index": 0 } ] ] }, "Parse Incidents JSON": { "main": [ [ { "node": "If (Incidents?)", "type": "main", "index": 0 } ] ] }, "Every MWF at 8am": { "main": [ [ { "node": "Get Channel", "type": "main", "index": 0 } ] ] }, "Mod Incident Classifier (GPT 5.4 mini)": { "main": [ [ { "node": "Parse Incidents JSON", "type": "main", "index": 0 } ] ] }, "GPT 5.4 mini": { "main": [ [ { "node": "Slack", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1", "callerPolicy": "workflowsFromSameOwner", "errorWorkflow": "wr04ZVaAacD0frHP", "timeSavedMode": "fixed", "availableInMCP": false }, "tags": [] }