{ "edges": [ { "to": "4408b0b2-f702-45a7-adbf-60a96813ca0a", "from": "1df7681c-9051-4ac5-b0a9-7e1d0cb7eaef", "toPort": "0", "fromPort": "ai_tool" }, { "to": "e1446cf3-3abb-4577-823f-be3ad59b6862", "from": "726e136f-62b9-4b88-923e-0f051fe8a3b1", "toPort": "0", "fromPort": "0" }, { "to": "4408b0b2-f702-45a7-adbf-60a96813ca0a", "from": "4c66aba3-43d9-4117-a55c-19042026c76e", "toPort": "0", "fromPort": "ai_tool" }, { "to": "4408b0b2-f702-45a7-adbf-60a96813ca0a", "from": "b3edaa4b-9b37-4718-a69b-2842e440ce56", "toPort": "0", "fromPort": "ai_tool" }, { "to": "4408b0b2-f702-45a7-adbf-60a96813ca0a", "from": "e1446cf3-3abb-4577-823f-be3ad59b6862", "toPort": "0", "fromPort": "0" }, { "to": "f44bf8a4-7c6e-4ac3-bca3-ac3eaabf468c", "from": "4408b0b2-f702-45a7-adbf-60a96813ca0a", "toPort": "0", "fromPort": "0" }, { "to": "4408b0b2-f702-45a7-adbf-60a96813ca0a", "from": "1cfae412-6008-4f56-8e97-c8c73d7aef26", "toPort": "0", "fromPort": "ai_tool" }, { "to": "4408b0b2-f702-45a7-adbf-60a96813ca0a", "from": "4beaddfe-08bf-4432-b9f0-40881be4890a", "toPort": "0", "fromPort": "ai_tool" }, { "to": "4408b0b2-f702-45a7-adbf-60a96813ca0a", "from": "8ed688b0-0f09-4c65-bcd4-a29b1e996174", "toPort": "0", "fromPort": "ai_tool" }, { "to": "4408b0b2-f702-45a7-adbf-60a96813ca0a", "from": "09371f2e-86a2-4d50-bd0e-091083f9481c", "toPort": "0", "fromPort": "ai_tool" }, { "to": "09b5cd22-4337-4f92-9a08-bfca0962b0ed", "from": "9039084d-89ac-4741-aa25-e9821517a20b", "toPort": "0", "fromPort": "0" }, { "to": "4408b0b2-f702-45a7-adbf-60a96813ca0a", "from": "5e3300db-8eb1-4b85-b16e-3de0db533690", "toPort": "0", "fromPort": "ai_languageModel" }, { "to": "726e136f-62b9-4b88-923e-0f051fe8a3b1", "from": "6f8da415-0369-481f-8168-6acf09f06f35", "toPort": "1", "fromPort": "0" }, { "to": "09371f2e-86a2-4d50-bd0e-091083f9481c", "from": "806a75dc-4181-40bb-8287-e4fc50ace4f9", "toPort": "0", "fromPort": "ai_embedding" }, { "to": "726e136f-62b9-4b88-923e-0f051fe8a3b1", "from": "09b5cd22-4337-4f92-9a08-bfca0962b0ed", "toPort": "0", "fromPort": "0" }, { "to": "6f8da415-0369-481f-8168-6acf09f06f35", "from": "09b5cd22-4337-4f92-9a08-bfca0962b0ed", "toPort": "0", "fromPort": "1" }, { "to": "9039084d-89ac-4741-aa25-e9821517a20b", "from": "68343974-fef4-4495-81c7-84dcdd623e29", "toPort": "0", "fromPort": "0" } ], "nodes": [ { "id": "68343974-fef4-4495-81c7-84dcdd623e29", "name": "When Executed by Another Workflow", "type": "trigger", "params": { "kind": "n8n-nodes-base.executeWorkflowTrigger", "inputSource": "jsonExample", "jsonExample": "{\n \"message\": \"...\",\n \"post_id\": \"...\",\n \"channel_id\": \"...\",\n \"is_thread\": false,\n \"thread_root_id\": \"...\",\n \"user_name\": \"...\",\n \"category\": \"question\",\n \"confidence\": 0.95,\n \"summary\": \"...\",\n \"on_call_user\": \"...\",\n \"channel_name\": \"...\",\n \"file_ids\": [\"x4t1k...\", \"9bzqm...\"]}" }, "position": [ -64, 64 ] }, { "id": "4408b0b2-f702-45a7-adbf-60a96813ca0a", "name": "AI Agent", "type": "llm", "params": { "text": "=Please provide information on our infrastructure from {{ $json.user_name }}\nin channel {{ $json.channel_name }}{{ $json.is_thread ? ' (message is in a thread, thread_root_id=' + $json.thread_root_id + ' — read the story through Mattermost get_thread first)' : '' }}\n\n{{ $json.message }}{{ $json.attachments_context && $json.attachments_context.trim().length > 0 ? '\\n\\nAdditional information from attachments:\\n' + $json.attachments_context : '' }}", "prompt": "=Please provide information on our infrastructure from {{ $json.user_name }}\nin channel {{ $json.channel_name }}{{ $json.is_thread ? ' (message is in a thread, thread_root_id=' + $json.thread_root_id + ' — read the story through Mattermost get_thread first)' : '' }}\n\n{{ $json.message }}{{ $json.attachments_context && $json.attachments_context.trim().length > 0 ? '\\n\\nAdditional information from attachments:\\n' + $json.attachments_context : '' }}", "options": { "maxIterations": 20, "systemMessage": "=You are an senior Devops/SRE assistant for your organization's infrastructure. Your main goal is to assist in answer to questions about our infrastructure configuration.\n\n## Message context\n\nThe request can come either from a main channel message or from a thread reply.\n\n- channel_id: {{ $json.channel_id }}\n- post_id: {{ $json.post_id }}\n- is_thread: {{ $json.is_thread }}\n- thread_root_id: {{ $json.thread_root_id }}\n\nIf `is_thread` is true, the user's question is part of an ongoing thread.\nBefore investigating, call Mattermost `get_thread` with `thread_root_id`\nexactly ONCE to load the full conversation. Earlier messages in the thread\noften contain critical context: links to failing jobs, error logs, repository\nnames, previous hypotheses, or clarifications from the user.\n\nRules for reading the thread:\n- Call `get_thread` only once, at the very start, before any other tool.\n- Do not call `get_channel_messages` for thread context — use `get_thread`.\n- Ignore posts authored by the bot itself (previous assistant replies) when\n extracting the problem description. Focus on messages from human users.\n- Treat the user prompt (the message below) as the LATEST question —\n prior thread messages are background context, not the current ask.\n\nIf `is_thread` is false, skip this step. The message in the user prompt\nis the entire request; do not fetch thread history.\n\nProject name: ``\nProject description: \nEnvironments: `dev/stage` and `prod`\nGitHub organization: ``\nMain cloud providers: DigitalOcean\n\n## Important rules\n- Don't ask anything, analyze it yourself\n\n## Determine which part of the infrastructure the question concerns\n- Proxy traffic routing settings\n- Kuberntes cluster settings\n- Datastore settings\n- Monitoring/Alerting\n- Logging settings\n- CI/CD settings\n- Resource consumption\n\n### Main infrastructure repositories\n* List of repos\n\n### Datastore settings\n\n\n- Use Github MCP for access to IaC. Read README.md in the root repository to learn more about its structure\n- Use digitalocean MCP tools if you need to check current Droplet, Volume, Object storage configuration\n- If you can't find the required settings in the code, look for the default settings in the official documentation for the resource.\nExample:\n\"What logging level is set in valkey?\"\n\"The loglevel parameter was not found in the Ansible role valkey, meaning the default value notice from the official documentation is used. https://github.com/valkey-io/valkey/blob/9.0/valkey.conf\"\n\n### Kubernetes cluster settings\nWe use managed kuberntes clusters in our `Main cloud providers`\nThe cluster configuration -.\nCluster context naming:\n-\nenvironment: dev, prod\nregions: \n- Use Github MCP for access to IaC\n- Use kubernetes MCP tools if you need to check current resource configuration: configmaps, secrets, deployments, etc\n- If you can't find the required settings in the code, look for the default settings in the chart documentation.\n\n### Monitoring/Alerting\nWe use kube-prometheus-stack. \nIf your question is related to monitoring, metrics, or alerts, you can find details in the repository - \nThere're Alert rules in - \n\n### Logging\nIf your question is related to logs, Loki , you can find details in the repository -\nWe use grafana alloy as logs shipper from droplets. Ansible alloy role is in -\n\n### CI/CD settings\nDetermine which repository the issue belongs to and check its workflow settings in .github/workflows/\nWorkflows from a repository - are often used in other repositories.\n- Use Github MCP\n\n### Resource consumption\nIf the question concerns current resource consumption, look for data for the last 30 minutes.\nWe use standart prometheus node_exporter.\nProduction metrics stored in prometheus datasource name: prod\nDev/stage metrics stored in prometheus datasource name: dev\nUseful prometheus labels:\n- instance - name of instance, see naming convention\n- region - \n- job - redis, postgres, redpanda\n- namespace - monitoring, logging\n- pod - name of pod in k8s cluster\n- ingress - name of ingress\n\nUse Grafana MCP for request metrics\n\n## Grafana Tools \nUse these to query metrics, logs, dashboards:\n- **Prometheus**: query_prometheus for PromQL queries (CPU, memory, request rates, error rates). Datasource uid: {{ $('SetVars').first().json.prometheus_uid }}\n- **Loki**: query_loki_logs for LogQL log searches. Datasource uid: {{ $('SetVars').first().json.loki_uid }}\n- **Dashboards**: search_dashboards, get_dashboard_summary to find relevant dashboards\n\n## Vector store MCP tools\n- Read infromation about infratructure, service commuication, trafic balancing, useful tags and labels. Naming convention\n\n## Mattermost tools\n- Use `get_thread` to read the full thread context when `is_thread` is true.\n- Use `get_user_by_username` / `get_user` to resolve author identities if needed.\n- Do not use Mattermost tools to post replies — replies are sent by the\n workflow after your response.\n\n## Critical Rules for Tool Usage\n1. **Never retry a failed tool call more than once.** If a Kubernetes resource (pod, deployment, node) is not found on the first attempt, it likely no longer exists. Do NOT retry the same query.\n2. **If any tool returns an error or empty result**, acknowledge it and move on.\n3. Don't make any changes to anything through mcp.\n4. Avoid queries that return all elements; filter and grep.\n5. When working with metrics, logs, and traces, always specify a limited time range in your queries.\n6. Never try to get all the events from the Kubernetes without filtering by a specific object, for example certain pod, job, deployment\n\n\n## Output format\nDescribe the current settings or state of affairs.\nIf we are talking about settings, write where they are defined." }, "provider": "openai", "promptType": "define", "approximated": true, "systemMessage": "=You are an senior Devops/SRE assistant for your organization's infrastructure. Your main goal is to assist in answer to questions about our infrastructure configuration.\n\n## Message context\n\nThe request can come either from a main channel message or from a thread reply.\n\n- channel_id: {{ $json.channel_id }}\n- post_id: {{ $json.post_id }}\n- is_thread: {{ $json.is_thread }}\n- thread_root_id: {{ $json.thread_root_id }}\n\nIf `is_thread` is true, the user's question is part of an ongoing thread.\nBefore investigating, call Mattermost `get_thread` with `thread_root_id`\nexactly ONCE to load the full conversation. Earlier messages in the thread\noften contain critical context: links to failing jobs, error logs, repository\nnames, previous hypotheses, or clarifications from the user.\n\nRules for reading the thread:\n- Call `get_thread` only once, at the very start, before any other tool.\n- Do not call `get_channel_messages` for thread context — use `get_thread`.\n- Ignore posts authored by the bot itself (previous assistant replies) when\n extracting the problem description. Focus on messages from human users.\n- Treat the user prompt (the message below) as the LATEST question —\n prior thread messages are background context, not the current ask.\n\nIf `is_thread` is false, skip this step. The message in the user prompt\nis the entire request; do not fetch thread history.\n\nProject name: ``\nProject description: \nEnvironments: `dev/stage` and `prod`\nGitHub organization: ``\nMain cloud providers: DigitalOcean\n\n## Important rules\n- Don't ask anything, analyze it yourself\n\n## Determine which part of the infrastructure the question concerns\n- Proxy traffic routing settings\n- Kuberntes cluster settings\n- Datastore settings\n- Monitoring/Alerting\n- Logging settings\n- CI/CD settings\n- Resource consumption\n\n### Main infrastructure repositories\n* List of repos\n\n### Datastore settings\n\n\n- Use Github MCP for access to IaC. Read README.md in the root repository to learn more about its structure\n- Use digitalocean MCP tools if you need to check current Droplet, Volume, Object storage configuration\n- If you can't find the required settings in the code, look for the default settings in the official documentation for the resource.\nExample:\n\"What logging level is set in valkey?\"\n\"The loglevel parameter was not found in the Ansible role valkey, meaning the default value notice from the official documentation is used. https://github.com/valkey-io/valkey/blob/9.0/valkey.conf\"\n\n### Kubernetes cluster settings\nWe use managed kuberntes clusters in our `Main cloud providers`\nThe cluster configuration -.\nCluster context naming:\n-\nenvironment: dev, prod\nregions: \n- Use Github MCP for access to IaC\n- Use kubernetes MCP tools if you need to check current resource configuration: configmaps, secrets, deployments, etc\n- If you can't find the required settings in the code, look for the default settings in the chart documentation.\n\n### Monitoring/Alerting\nWe use kube-prometheus-stack. \nIf your question is related to monitoring, metrics, or alerts, you can find details in the repository - \nThere're Alert rules in - \n\n### Logging\nIf your question is related to logs, Loki , you can find details in the repository -\nWe use grafana alloy as logs shipper from droplets. Ansible alloy role is in -\n\n### CI/CD settings\nDetermine which repository the issue belongs to and check its workflow settings in .github/workflows/\nWorkflows from a repository - are often used in other repositories.\n- Use Github MCP\n\n### Resource consumption\nIf the question concerns current resource consumption, look for data for the last 30 minutes.\nWe use standart prometheus node_exporter.\nProduction metrics stored in prometheus datasource name: prod\nDev/stage metrics stored in prometheus datasource name: dev\nUseful prometheus labels:\n- instance - name of instance, see naming convention\n- region - \n- job - redis, postgres, redpanda\n- namespace - monitoring, logging\n- pod - name of pod in k8s cluster\n- ingress - name of ingress\n\nUse Grafana MCP for request metrics\n\n## Grafana Tools \nUse these to query metrics, logs, dashboards:\n- **Prometheus**: query_prometheus for PromQL queries (CPU, memory, request rates, error rates). Datasource uid: {{ $('SetVars').first().json.prometheus_uid }}\n- **Loki**: query_loki_logs for LogQL log searches. Datasource uid: {{ $('SetVars').first().json.loki_uid }}\n- **Dashboards**: search_dashboards, get_dashboard_summary to find relevant dashboards\n\n## Vector store MCP tools\n- Read infromation about infratructure, service commuication, trafic balancing, useful tags and labels. Naming convention\n\n## Mattermost tools\n- Use `get_thread` to read the full thread context when `is_thread` is true.\n- Use `get_user_by_username` / `get_user` to resolve author identities if needed.\n- Do not use Mattermost tools to post replies — replies are sent by the\n workflow after your response.\n\n## Critical Rules for Tool Usage\n1. **Never retry a failed tool call more than once.** If a Kubernetes resource (pod, deployment, node) is not found on the first attempt, it likely no longer exists. Do NOT retry the same query.\n2. **If any tool returns an error or empty result**, acknowledge it and move on.\n3. Don't make any changes to anything through mcp.\n4. Avoid queries that return all elements; filter and grep.\n5. When working with metrics, logs, and traces, always specify a limited time range in your queries.\n6. Never try to get all the events from the Kubernetes without filtering by a specific object, for example certain pod, job, deployment\n\n\n## Output format\nDescribe the current settings or state of affairs.\nIf we are talking about settings, write where they are defined." }, "position": [ 1152, 64 ] }, { "id": "5e3300db-8eb1-4b85-b16e-3de0db533690", "name": "OpenRouter Chat Model", "type": "llm", "params": { "model": "openai/gpt-5.3-codex", "options": {}, "provider": "openai" }, "position": [ 1088, 224 ] }, { "id": "b3edaa4b-9b37-4718-a69b-2842e440ce56", "name": "Grafana", "type": "integration", "params": { "include": "selected", "options": {}, "service": "mcp", "operation": "read", "endpointUrl": "https:///grafana/mcp", "includeTools": [ "get_datasource", "get_panel_image", "list_datasources", "list_loki_label_names", "list_loki_label_values", "query_loki_logs", "query_loki_patterns", "query_loki_stats", "list_prometheus_label_names", "list_prometheus_label_values", "list_prometheus_metric_metadata", "list_prometheus_metric_names", "query_prometheus", "query_prometheus_histogram", "search_dashboards", "search_folders" ] }, "position": [ 1616, 528 ] }, { "id": "4beaddfe-08bf-4432-b9f0-40881be4890a", "name": "DigitalOcean", "type": "integration", "params": { "include": "selected", "options": {}, "service": "mcp", "operation": "read", "endpointUrl": "https:///digitalocean/mcp", "includeTools": [ "apps-get-deployment-status", "apps-get-info", "apps-get-logs", "apps-list", "byoip-prefix-resources-get", "byoip-prefix-list", "certificate-get", "certificate-list", "doks-get-cluster", "doks-get-nodepool", "doks-list-clusters", "doks-list-nodepools", "doks-list-options", "domain-get", "domain-list", "domain-record-get", "domain-record-list", "droplet-get", "droplet-list", "firewall-get", "firewall-list", "lb-get", "lb-list", "region-list", "reserved-ip-list", "reserved-ip-get", "size-list", "vpc-get", "vpc-list" ] }, "position": [ 1392, 528 ] }, { "id": "1df7681c-9051-4ac5-b0a9-7e1d0cb7eaef", "name": "K8S", "type": "integration", "params": { "include": "selected", "options": {}, "service": "mcp", "operation": "read", "endpointUrl": "http://:/mcp", "includeTools": [ "configuration_view", "events_list", "namespaces_list", "nodes_log", "nodes_top", "pods_get", "pods_list", "pods_list_in_namespace", "pods_log", "pods_top", "resources_get", "resources_list" ] }, "position": [ 1280, 528 ] }, { "id": "09371f2e-86a2-4d50-bd0e-091083f9481c", "name": "Qdrant Vector Store", "type": "passthrough", "params": { "mode": "noOp", "options": {}, "toolDescription": "Use this tool to fetch knowledge our IT infrastructure. ", "qdrantCollection": { "__rl": true, "mode": "list", "value": "", "cachedResultName": "" } }, "position": [ 1744, 528 ] }, { "id": "806a75dc-4181-40bb-8287-e4fc50ace4f9", "name": "Embeddings Google Gemini", "type": "passthrough", "params": { "mode": "noOp", "modelName": "models/gemini-embedding-2-preview" }, "position": [ 1744, 736 ] }, { "id": "4c66aba3-43d9-4117-a55c-19042026c76e", "name": "Github", "type": "integration", "params": { "include": "selected", "options": {}, "service": "mcp", "operation": "read", "endpointUrl": "https:///github/mcp", "includeTools": [ "actions_get", "actions_list", "get_commit", "get_file_contents", "get_gist", "get_job_logs", "list_commits", "list_branches", "list_pull_requests", "pull_request_read", "search_code", "search_pull_requests", "search_repositories" ], "authentication": "bearerAuth" }, "position": [ 1152, 528 ] }, { "id": "f44bf8a4-7c6e-4ac3-bca3-ac3eaabf468c", "name": "Post a message", "type": "integration", "params": { "message": "={{ $json.output }}", "service": "mattermost", "channelId": "={{ $('ReadIncidentContext').first().json.channel_id }}", "operation": "run", "attachments": [], "otherOptions": { "root_id": "={{ $('SetVars').first().json.reply_root_id }}" }, "__originalType": "n8n-nodes-base.mattermost" }, "position": [ 1792, 64 ] }, { "id": "9039084d-89ac-4741-aa25-e9821517a20b", "name": "ReadIncidentContext", "type": "code", "params": { "jsCode": "// Read the classification object passed from the parent router workflow\n// Available fields: message, post_id, channel_id, user_name, user_id,\n// team_domain, channel_name, timestamp, category, confidence, summary\n\nconst data = $input.first().json;\n\n// Log for debugging\nconsole.log(`Request received: ${data.summary}`);\nconsole.log(`From: ${data.user_name} in #${data.channel_name}`);\nconsole.log(`Confidence: ${data.confidence}`);\n\nreturn [{ json: data }];" }, "position": [ 128, 64 ] }, { "id": "e1446cf3-3abb-4577-823f-be3ad59b6862", "name": "SetVars", "type": "set", "params": { "options": {}, "assignments": { "assignments": [ { "id": "a8cb35fa-467e-4060-9f95-6386dc27a5b5", "name": "GITHUB_ORG", "type": "string", "value": "" }, { "id": "8471f4ad-0bdc-421b-887c-8bd7b2c4528e", "name": "K8S_NAMESPACE", "type": "string", "value": "" }, { "id": "dfc64c71-82a9-4e67-b91b-7fd675256448", "name": "K8S_CLUSTERS", "type": "string", "value": "," }, { "id": "996995b9-a0a0-41ee-8e5f-498cad759f96", "name": "reply_root_id", "type": "string", "value": "={{ $('ReadIncidentContext').item.json.is_thread ? $('ReadIncidentContext').item.json.thread_root_id : $('ReadIncidentContext').item.json.post_id}}" }, { "id": "c4d1bc7f-5d84-48b6-99ce-091d332ece58", "name": "prometheus_uid", "type": "string", "value": "" }, { "id": "be454984-d00d-45cd-8895-34edd7b3d681", "name": "loki_uid", "type": "string", "value": "" }, { "id": "11fc1058-387b-4ff7-90c4-d94fbff27878", "name": "post_id", "type": "string", "value": "={{ $('ReadIncidentContext').item.json.post_id }}" }, { "id": "62195f74-7c07-4b5d-8d34-2412d5cfa515", "name": "user_name", "type": "string", "value": "={{ $('ReadIncidentContext').item.json.user_name }}" }, { "id": "61c3c787-7d85-4a4d-b33e-afb20fe7a5a6", "name": "on_call_user", "type": "string", "value": "={{ $('ReadIncidentContext').item.json.on_call_user }}" }, { "id": "ef65e662-a7c2-48fa-9932-250a6c55ccac", "name": "channel_id", "type": "string", "value": "={{ $('ReadIncidentContext').item.json.channel_id }}" }, { "id": "aece7ba5-4604-40cc-aee2-53b24450ed21", "name": "is_thread", "type": "string", "value": "={{ $('ReadIncidentContext').item.json.is_thread }}" }, { "id": "0123093b-cff9-4533-8755-e38f1c02dbae", "name": "message", "type": "string", "value": "={{ $('ReadIncidentContext').item.json.message }}" } ] }, "includeOtherFields": true }, "position": [ 912, 64 ] }, { "id": "1cfae412-6008-4f56-8e97-c8c73d7aef26", "name": "Mattermost", "type": "integration", "params": { "include": "selected", "options": {}, "service": "mcp", "operation": "read", "endpointUrl": "https:///mattermost/mcp", "includeTools": [ "get_channel", "get_channel_by_name", "get_channel_messages", "get_thread", "get_user", "get_user_by_username", "search_messages" ] }, "position": [ 1024, 528 ] }, { "id": "8ed688b0-0f09-4c65-bcd4-a29b1e996174", "name": "HTTP Request", "type": "http", "params": { "url": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('URL', ``, 'string') }}", "options": { "timeout": 10000 }, "toolDescription": "Makes an HTTP request to documentation and returns the response data" }, "position": [ 1504, 528 ] }, { "id": "6f8da415-0369-481f-8168-6acf09f06f35", "name": "Set: empty attachments", "type": "set", "params": { "options": {}, "assignments": { "assignments": [ { "id": "61a657aa-156d-4f78-806b-6ba865062183", "name": "attachments_context", "type": "string", "value": "" }, { "id": "e652b32b-371f-4918-a774-d23f939a8026", "name": "attachments_count", "type": "string", "value": "0" } ] } }, "position": [ 560, 224 ] }, { "id": "726e136f-62b9-4b88-923e-0f051fe8a3b1", "name": "Merge", "type": "merge", "params": {}, "position": [ 752, 64 ] }, { "id": "09b5cd22-4337-4f92-9a08-bfca0962b0ed", "name": "Call 'attachmentsAnalyzer'", "type": "passthrough", "params": { "mode": "noOp", "options": {}, "workflowId": { "__rl": true, "mode": "list", "value": "", "cachedResultUrl": "/workflow/", "cachedResultName": "" }, "workflowInputs": { "value": { "file_ids": "={{ $json.file_ids }}" }, "schema": [ { "id": "file_ids", "type": "array", "display": true, "removed": false, "required": false, "displayName": "file_ids", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [ "file_ids" ], "attemptToConvertTypes": false, "convertFieldsToString": true } }, "position": [ 368, 64 ] } ] }

Answer infrastructure questions in Mattermost with OpenRouter and Qdrant