Sergei Byvshev 
This workflow corresponds to n8n.io template #15612 — we link there as the canonical source.
This workflow follows the Execute Workflow Trigger → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"id": "mfj3y9MNPLaxkcwU",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "attachmentsAnalyzer",
"tags": [],
"nodes": [
{
"id": "e342262d-24d0-4d50-bf5c-4b6df19561e2",
"name": "About",
"type": "n8n-nodes-base.stickyNote",
"position": [
640,
-192
],
"parameters": {
"color": 5,
"width": 1336,
"height": 544,
"content": "## Overview\n\nSubworkflow for analyzing Mattermost attachments before passing them to the AI Agent.\n\n## Per-attachment behavior\n- **Image** (mime starts with `image/`, size \u2264 `MAX_IMAGE_SIZE_BYTES`): downloaded and analyzed by OpenAI vision model.\n- **Text small** (text-like by mime/extension, size \u2264 `MAX_TEXT_SIZE_BYTES`): downloaded as plain text and inlined into the context block (with line count check \u2264 `MAX_TEXT_LINES`).\n- **Text too large** (text-like, exceeds byte or line limit): replaced with a \"too big\" marker so the agent asks the user for the relevant excerpt.\n- **Other** (binaries, oversized images, unknown): replaced with a generic \"not analyzed\" marker.\n\n## Setup checklist\n1. Set `MATTERMOST_BASE_URL` in the Config node to your Mattermost origin (`https://hostname`; no trailing slash).\n2. Create an `HTTP Header Auth` credential called \"Mattermost PAT\" with:\n - Name: `Authorization`\n - Value: `Bearer <your_personal_access_token>`\n3. Attach this credential to all three HTTP Request nodes (Get file info, Download file, Download text file).\n4. Attach your OpenAI credential to the \"OpenAI: Analyze Image\" node.\n5. Tune in Config: `VISION_MODEL` (OpenAI vision model id; the Analyze Image node reads it from Config), `MAX_IMAGE_SIZE_BYTES`, `MAX_TEXT_SIZE_BYTES`, `MAX_TEXT_LINES`.\n\n## Notes\n- The IF guard short-circuits when `file_ids` is empty so the parent workflow can call this subworkflow unconditionally.\n- Classification by mime + extension catches `.log` files served as `application/octet-stream`.\n- Final output is always a single item with the same shape \u2014 safe to consume in the parent."
},
"typeVersion": 1
},
{
"id": "bede9898-e490-496a-bf78-2703c31292e5",
"name": "When Executed by Another Workflow",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
704,
656
],
"parameters": {
"inputSource": "jsonExample",
"jsonExample": "{\n \"file_ids\": [\"x4t1k7example1\", \"9bzqmexample2\"]\n}"
},
"typeVersion": 1.1
},
{
"id": "2cbd0079-0953-4cfd-ba09-89b130e3e065",
"name": "Config",
"type": "n8n-nodes-base.set",
"position": [
896,
656
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "c1f+1234567890-+1234567890",
"name": "MATTERMOST_BASE_URL",
"type": "string",
"value": "https://<your-mattermost-host>"
},
{
"id": "c1f+1234567890-+1234567890",
"name": "VISION_MODEL",
"type": "string",
"value": "gpt-4o-mini"
},
{
"id": "c1f+1234567890-+1234567890",
"name": "MAX_IMAGE_SIZE_BYTES",
"type": "number",
"value": 20971520
},
{
"id": "c1f+1234567890-+1234567890",
"name": "MAX_TEXT_SIZE_BYTES",
"type": "number",
"value": 65536
},
{
"id": "c1f+1234567890-+1234567890",
"name": "MAX_TEXT_LINES",
"type": "number",
"value": 300
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "50298b55-4fbf-4052-8859-3ae9f1d73c23",
"name": "Has attachments?",
"type": "n8n-nodes-base.if",
"position": [
1088,
656
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "if+1234567890-+1234567890",
"operator": {
"type": "number",
"operation": "gt"
},
"leftValue": "={{ ($json.file_ids || []).length }}",
"rightValue": 0
}
]
}
},
"typeVersion": 2.2
},
{
"id": "7369a49e-7f79-4082-a07b-1ef09b87f6f4",
"name": "Empty result",
"type": "n8n-nodes-base.set",
"position": [
1296,
912
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "se+1234567890-+1234567890",
"name": "attachments_context",
"type": "string",
"value": ""
},
{
"id": "se+1234567890-+1234567890",
"name": "attachments_count",
"type": "number",
"value": 0
}
]
}
},
"typeVersion": 3.4
},
{
"id": "08c9ba1a-6413-4a5c-a129-6fa456d5e907",
"name": "Split file_ids",
"type": "n8n-nodes-base.code",
"position": [
1328,
464
],
"parameters": {
"jsCode": "// Split incoming file_ids array into one item per file_id.\n// The IF guard upstream guarantees at least one id; defensive check kept.\n\nconst data = $input.first().json;\nconst ids = Array.isArray(data.file_ids) ? data.file_ids : [];\n\nreturn ids.map((file_id, idx) => ({\n json: {\n file_id,\n file_index: idx\n }\n}));"
},
"typeVersion": 2
},
{
"id": "1e0aae90-4e03-4f2d-9639-0c15bbd7aff8",
"name": "Get file info",
"type": "n8n-nodes-base.httpRequest",
"position": [
1552,
464
],
"parameters": {
"url": "={{ $('Config').first().json.MATTERMOST_BASE_URL }}/api/v4/files/{{ $json.file_id }}/info",
"options": {},
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "1b35f66f-fef6-4e36-9afe-4bd2408cda3c",
"name": "Classify file",
"type": "n8n-nodes-base.code",
"position": [
1760,
464
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "// Classify the attachment by mime type, file extension, and size.\n// Adds a `category` field used by the downstream Switch node:\n// - 'image' image, fits MAX_IMAGE_SIZE_BYTES \u2192 vision pipeline\n// - 'text_small' text-like, fits MAX_TEXT_SIZE_BYTES \u2192 inline content\n// - 'text_too_large' text-like but exceeds MAX_TEXT_SIZE_BYTES \u2192 \"too big\" marker\n// - 'unsupported' binaries, oversized images, unknown formats\n//\n// Detecting text by extension is intentional: Mattermost often serves `.log`\n// (and other dev-related files) as `application/octet-stream`.\n\nconst fileInfo = $input.item.json;\nconst config = $('Config').first().json;\n\nconst mimeType = (fileInfo.mime_type || '').toLowerCase();\nconst fileName = fileInfo.name || '';\nconst size = Number(fileInfo.size) || 0;\n\nconst dotIdx = fileName.lastIndexOf('.');\nconst ext = dotIdx >= 0 ? fileName.slice(dotIdx + 1).toLowerCase() : '';\n\nconst TEXT_EXTENSIONS = new Set([\n // Logs & plain text\n 'log', 'txt', 'out', 'err',\n // Structured data\n 'json', 'ndjson', 'jsonl', 'yaml', 'yml', 'xml', 'csv', 'tsv', 'toml',\n // Docs & configs\n 'md', 'markdown', 'rst', 'conf', 'cfg', 'ini', 'env', 'properties',\n // Shell & scripts\n 'sh', 'bash', 'zsh', 'fish', 'ps1',\n // Programming languages\n 'py', 'js', 'mjs', 'cjs', 'ts', 'jsx', 'tsx',\n 'go', 'rs', 'java', 'kt', 'rb', 'php', 'pl', 'lua',\n 'c', 'h', 'cpp', 'hpp', 'cc', 'cs', 'm', 'mm',\n // Infra & DevOps\n 'tf', 'hcl', 'tfvars', 'sql', 'graphql', 'gql', 'dockerfile',\n // Web\n 'html', 'htm', 'css', 'scss', 'sass', 'less', 'vue', 'svelte',\n // Patches\n 'patch', 'diff'\n]);\n\nconst isImage = mimeType.startsWith('image/');\nconst isTextMime =\n mimeType.startsWith('text/') ||\n mimeType === 'application/json' ||\n mimeType === 'application/ld+json' ||\n mimeType === 'application/xml' ||\n mimeType === 'application/x-yaml' ||\n mimeType === 'application/yaml' ||\n mimeType === 'application/x-sh' ||\n mimeType === 'application/javascript' ||\n mimeType === 'application/x-ndjson' ||\n mimeType === 'application/toml';\nconst isTextLike = isTextMime || TEXT_EXTENSIONS.has(ext);\n\nlet category;\nif (isImage && size <= config.MAX_IMAGE_SIZE_BYTES) {\n category = 'image';\n} else if (isTextLike && size <= config.MAX_TEXT_SIZE_BYTES) {\n category = 'text_small';\n} else if (isTextLike) {\n category = 'text_too_large';\n} else {\n category = 'unsupported';\n}\n\nreturn {\n json: {\n ...fileInfo,\n file_extension: ext,\n is_text_like: isTextLike,\n is_image: isImage,\n category\n }\n};"
},
"typeVersion": 2
},
{
"id": "d7abba2a-4351-4bae-8ea5-cc1c45335d9c",
"name": "Route by category",
"type": "n8n-nodes-base.switch",
"position": [
1968,
432
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "image",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "sw+1234567890-+1234567890",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.category }}",
"rightValue": "image"
}
]
},
"renameOutput": true
},
{
"outputKey": "text_small",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "sw+1234567890-+1234567890",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.category }}",
"rightValue": "text_small"
}
]
},
"renameOutput": true
},
{
"outputKey": "text_too_large",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "sw+1234567890-+1234567890",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.category }}",
"rightValue": "text_too_large"
}
]
},
"renameOutput": true
}
]
},
"options": {
"fallbackOutput": "extra",
"renameFallbackOutput": "unsupported"
}
},
"typeVersion": 3.2
},
{
"id": "51e2994b-61c6-4797-b521-616f6005f53d",
"name": "Download file",
"type": "n8n-nodes-base.httpRequest",
"position": [
2192,
160
],
"parameters": {
"url": "={{ $('Config').first().json.MATTERMOST_BASE_URL }}/api/v4/files/{{ $json.id }}",
"options": {
"response": {
"response": {
"responseFormat": "file"
}
}
},
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "720bd88c-5091-4b38-a58f-488106b3b067",
"name": "OpenAI: Analyze Image",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
2416,
160
],
"parameters": {
"text": "You are a DevOps screenshot analyst. Produce a concise structured description in English of the attached image.\n\nOutput sections (skip a section if not applicable):\n1. source_system \u2014 which tool/system the screenshot is from. Choose from: GitHub Actions, GitLab CI, Jenkins, TeamCity, Grafana, Sentry, Loki, Prometheus, Mattermost, Slack, Jira, Kubernetes Dashboard, terminal/shell, IDE (VSCode/JetBrains), browser DevTools, generic web page, unknown.\n2. visible_text \u2014 verbatim transcript of error messages, stack traces, command output, status codes, job names. Preserve exact wording and casing. Use code fences for multi-line blocks.\n3. key_signals \u2014 bullet list of what matters for an SRE: failed step name, exit code, service/pod/namespace, timestamp, severity, status indicator color.\n4. summary \u2014 1-2 sentences in plain English on what the screenshot shows.\n\nBe terse. No filler, no greetings, no markdown headings beyond what is asked. If the image is not technical (meme, photo of a person, decorative), say so in summary and skip other sections.",
"modelId": {
"__rl": true,
"mode": "id",
"value": "={{ $('Config').first().json.VISION_MODEL }}"
},
"options": {
"detail": "auto"
},
"resource": "image",
"inputType": "=base64",
"operation": "analyze"
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.8
},
{
"id": "563c042b-8359-4eed-b5fa-32ea62da3a19",
"name": "Format image description",
"type": "n8n-nodes-base.code",
"position": [
2640,
160
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "// runOnceForEachItem \u2014 pairedItem propagation lets us reach back to\n// \"Classify file\" by item index and recover the original file metadata.\n\nconst llmOut = $input.item.json;\nconst fileInfo = $('Classify file').item.json;\n\n// OpenAI Analyze Image returns the model text under different fields\n// depending on n8n version. Try common shapes in order.\nlet description =\n (typeof llmOut.content === 'string' && llmOut.content) ||\n (typeof llmOut.message?.content === 'string' && llmOut.message.content) ||\n (Array.isArray(llmOut.content) && llmOut.content.map(c => c.text || '').join('\\n')) ||\n llmOut.text ||\n '[vision model returned no content]';\n\nif (typeof description !== 'string') {\n description = JSON.stringify(description);\n}\n\nreturn {\n json: {\n file_id: fileInfo.id,\n file_name: fileInfo.name,\n mime_type: fileInfo.mime_type,\n size: fileInfo.size,\n is_image: true,\n is_text: false,\n description\n }\n};"
},
"typeVersion": 2
},
{
"id": "9b8f65b0-012a-4d17-a53c-65931b5e7cf2",
"name": "Download text file",
"type": "n8n-nodes-base.httpRequest",
"position": [
2192,
352
],
"parameters": {
"url": "={{ $('Config').first().json.MATTERMOST_BASE_URL }}/api/v4/files/{{ $json.id }}",
"options": {
"response": {
"response": {
"responseFormat": "text"
}
}
},
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "eb150e5f-ddb7-4387-b8c8-55ffd741f22d",
"name": "Format text content",
"type": "n8n-nodes-base.code",
"position": [
2416,
352
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "// runOnceForEachItem. HTTP Request (responseFormat=text) returned the body\n// as a string in $json.data. File metadata is recovered via pairedItem from\n// \"Classify file\".\n//\n// Two-tier size check:\n// tier 1 (bytes): already enforced by \"Classify file\" + Switch routing.\n// tier 2 (lines): re-checked here for files that fit byte budget but\n// contain unusually long lines (e.g. minified JSON).\n\nconst fileInfo = $('Classify file').item.json;\nconst config = $('Config').first().json;\nconst text = typeof $json.data === 'string' ? $json.data : '';\n\nconst lineCount = text.length === 0 ? 0 : text.split(/\\r\\n|\\r|\\n/).length;\nconst maxLines = Number(config.MAX_TEXT_LINES) || 300;\n\nif (lineCount > maxLines) {\n return {\n json: {\n file_id: fileInfo.id,\n file_name: fileInfo.name,\n mime_type: fileInfo.mime_type,\n size: fileInfo.size,\n is_image: false,\n is_text: true,\n description: `Attachment ${fileInfo.name} is too large to inline: ${fileInfo.size} bytes / ${lineCount} lines (limit: ${maxLines} lines). Ask the user to share the relevant excerpt.`\n }\n };\n}\n\nreturn {\n json: {\n file_id: fileInfo.id,\n file_name: fileInfo.name,\n mime_type: fileInfo.mime_type,\n size: fileInfo.size,\n is_image: false,\n is_text: true,\n description: `Text content of ${fileInfo.name} (${fileInfo.size} bytes, ${lineCount} lines):\\n\\n\\`\\`\\`\\n${text}\\n\\`\\`\\``\n }\n};"
},
"typeVersion": 2
},
{
"id": "bf4dfecb-8585-4252-871f-dfee7970dc04",
"name": "Text too large marker",
"type": "n8n-nodes-base.set",
"position": [
2192,
576
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "tl+1234567890-+1234567890",
"name": "file_id",
"type": "string",
"value": "={{ $json.id }}"
},
{
"id": "tl+1234567890-+1234567890",
"name": "file_name",
"type": "string",
"value": "={{ $json.name }}"
},
{
"id": "tl+1234567890-+1234567890",
"name": "mime_type",
"type": "string",
"value": "={{ $json.mime_type }}"
},
{
"id": "tl+1234567890-+1234567890",
"name": "size",
"type": "number",
"value": "={{ $json.size }}"
},
{
"id": "tl+1234567890-+1234567890",
"name": "is_image",
"type": "boolean",
"value": false
},
{
"id": "tl+1234567890-+1234567890",
"name": "is_text",
"type": "boolean",
"value": true
},
{
"id": "tl+1234567890-+1234567890",
"name": "description",
"type": "string",
"value": "=Attachment {{ $json.name }} is a text file but too large to inline: {{ $json.size }} bytes (limit: {{ $('Config').first().json.MAX_TEXT_SIZE_BYTES }} bytes). Ask the user to share the relevant excerpt."
}
]
}
},
"typeVersion": 3.4
},
{
"id": "63ec86c3-eb4b-4da3-bbc7-c80293618a44",
"name": "Non-image marker",
"type": "n8n-nodes-base.set",
"position": [
2192,
784
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ni+1234567890-+1234567890",
"name": "file_id",
"type": "string",
"value": "={{ $json.id }}"
},
{
"id": "ni+1234567890-+1234567890",
"name": "file_name",
"type": "string",
"value": "={{ $json.name }}"
},
{
"id": "ni+1234567890-+1234567890",
"name": "mime_type",
"type": "string",
"value": "={{ $json.mime_type }}"
},
{
"id": "ni+1234567890-+1234567890",
"name": "size",
"type": "number",
"value": "={{ $json.size }}"
},
{
"id": "ni+1234567890-+1234567890",
"name": "is_image",
"type": "boolean",
"value": "={{ ($json.mime_type || '').startsWith('image/') }}"
},
{
"id": "ni+1234567890-+1234567890",
"name": "is_text",
"type": "boolean",
"value": false
},
{
"id": "ni+1234567890-+1234567890",
"name": "description",
"type": "string",
"value": "=Attachment {{ $json.name }} not analyzed (mime: {{ $json.mime_type }}, size: {{ $json.size }} bytes). Either unsupported binary format or exceeds size limit."
}
]
}
},
"typeVersion": 3.4
},
{
"id": "f716620e-b4d8-45fb-b080-aa311dc79d43",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
2864,
528
],
"parameters": {
"numberInputs": 4
},
"typeVersion": 3.2
},
{
"id": "5cbc7aa3-6eae-4e39-8363-e7fa7ca8efb9",
"name": "Aggregate",
"type": "n8n-nodes-base.aggregate",
"position": [
3072,
560
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "attachments"
},
"typeVersion": 1
},
{
"id": "3de99b38-8fec-432f-9f9c-2fcfcff19d5b",
"name": "Build attachments_context",
"type": "n8n-nodes-base.code",
"position": [
3264,
560
],
"parameters": {
"jsCode": "// Aggregate produced a single item with `attachments: [...]`.\n// Build a human-readable block for the AI Agent system prompt.\n// Output shape mirrors the \"Empty result\" Set node so the parent workflow\n// can consume the output uniformly.\n\nconst attachments = $input.first().json.attachments || [];\nconst valid = attachments.filter(a => a && a.file_id);\n\nif (valid.length === 0) {\n return [{ json: { attachments_context: '', attachments_count: 0 } }];\n}\n\nconst blocks = valid.map((a, i) => {\n let tag;\n if (a.is_image) tag = 'image';\n else if (a.is_text) tag = 'text';\n else tag = a.mime_type || 'file';\n\n const header = `Attachment ${i + 1}: ${a.file_name} [${tag}]`;\n return `${header}\\n${a.description}`;\n});\n\nreturn [{\n json: {\n attachments_context: blocks.join('\\n\\n---\\n\\n'),\n attachments_count: valid.length\n }\n}];"
},
"typeVersion": 2
},
{
"id": "70b6af74-e8da-464a-b47c-ac1426a65865",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
640,
576
],
"parameters": {
"width": 576,
"height": 480,
"content": "# Input chain\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n```json\n{ \"file_ids\": [\"id1\", \"id2\", ...] }\n```\n"
},
"typeVersion": 1
},
{
"id": "c830d6bb-75fb-4004-8a15-2b81efc5f44b",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
3008,
480
],
"parameters": {
"width": 528,
"height": 512,
"content": "## Output chain\n\n\n\n\n\n\n\n\n\n\n\n\n```json\n{\n \"attachments_context\": \"...human-readable block...\",\n \"attachments_count\": 2\n}\n```"
},
"typeVersion": 1
},
{
"id": "91fa12c8-0d2f-4880-88c8-b011a67a40fe",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
2160,
48
],
"parameters": {
"color": 6,
"width": 624,
"height": 944,
"content": "## Attachment analyzer\nAccepts images and text files"
},
"typeVersion": 1
}
],
"active": true,
"settings": {
"binaryMode": "separate",
"executionOrder": "v1"
},
"versionId": "8ce4e88e-800c-4a8d-b9a1-bdb69f3d86bf",
"connections": {
"Merge": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
]
},
"Config": {
"main": [
[
{
"node": "Has attachments?",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "Build attachments_context",
"type": "main",
"index": 0
}
]
]
},
"Classify file": {
"main": [
[
{
"node": "Route by category",
"type": "main",
"index": 0
}
]
]
},
"Download file": {
"main": [
[
{
"node": "OpenAI: Analyze Image",
"type": "main",
"index": 0
}
]
]
},
"Get file info": {
"main": [
[
{
"node": "Classify file",
"type": "main",
"index": 0
}
]
]
},
"Split file_ids": {
"main": [
[
{
"node": "Get file info",
"type": "main",
"index": 0
}
]
]
},
"Has attachments?": {
"main": [
[
{
"node": "Split file_ids",
"type": "main",
"index": 0
}
],
[
{
"node": "Empty result",
"type": "main",
"index": 0
}
]
]
},
"Non-image marker": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 3
}
]
]
},
"Route by category": {
"main": [
[
{
"node": "Download file",
"type": "main",
"index": 0
}
],
[
{
"node": "Download text file",
"type": "main",
"index": 0
}
],
[
{
"node": "Text too large marker",
"type": "main",
"index": 0
}
],
[
{
"node": "Non-image marker",
"type": "main",
"index": 0
}
]
]
},
"Download text file": {
"main": [
[
{
"node": "Format text content",
"type": "main",
"index": 0
}
]
]
},
"Format text content": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"OpenAI: Analyze Image": {
"main": [
[
{
"node": "Format image description",
"type": "main",
"index": 0
}
]
]
},
"Text too large marker": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 2
}
]
]
},
"Format image description": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"When Executed by Another Workflow": {
"main": [
[
{
"node": "Config",
"type": "main",
"index": 0
}
]
]
}
}
}
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.
httpHeaderAuthopenAiApi
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About this workflow
Subworkflow for analyzing Mattermost attachments. Image (mime starts with , size ≤ ): downloaded and analyzed by OpenAI vision model. Text small (text-like by mime/extension, size ≤ ): downloaded as plain text and inlined into the context block (with line count check ≤ ). Text…
Source: https://n8n.io/workflows/15612/ — original creator credit. Request a take-down →
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