This workflow follows the Agent → Chat Trigger 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": "AgentQA",
"nodes": [
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.3,
"position": [
-2304,
-1392
],
"id": "26d0da89-d27a-4ed1-a89f-5d925de502f6",
"name": "When chat message received"
},
{
"parameters": {
"model": "google/gemini-2.5-flash",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"typeVersion": 1,
"position": [
-2400,
-1152
],
"id": "cfaf1368-1a8a-4b61-a286-3436ff60bace",
"name": "OpenRouter Chat Model2",
"credentials": {
"openRouterApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {
"systemMessage": "=\u0422\u044b \u043f\u043e\u043b\u0435\u0437\u043d\u044b\u0439 \u043f\u043e\u043c\u043e\u0449\u043d\u0438\u043a \u043f\u043e \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u044e \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0430.\n\n\u0415\u0441\u043b\u0438 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c \u043f\u0440\u043e\u0441\u0438\u0442 \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0442\u0435\u0441\u0442 \u043a\u0435\u0439\u0441\u044b, \u0432\u044b\u043f\u043e\u043b\u043d\u0438 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f.\n\u041e\u0442\u043f\u0440\u0430\u0432\u044c \u043e\u0434\u0438\u043d \u0437\u0430\u043f\u0440\u043e\u0441 \u0432 agentDesignerTestCases. \u041d\u0438\u043a\u043e\u0433\u0434\u0430 \u043d\u0435 \u043e\u0442\u043f\u0440\u0430\u0432\u043b\u044f\u0439 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u0445 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0432 agentDesignerTestCases \u0434\u043b\u044f \u043e\u0434\u043d\u043e\u0439 \u0438 \u0442\u043e\u0439 \u0436\u0435 \u0437\u0434\u0430\u0447\u0438."
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 2.2,
"position": [
-2112,
-1392
],
"id": "b45c7dc4-9741-40ea-9f47-c93a623209bc",
"name": "AI Agent"
},
{
"parameters": {
"contextWindowLength": 10
},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
-2016,
-1216
],
"id": "877ca6fe-e894-4792-8467-29e3f54aa33e",
"name": "Simple Memory"
},
{
"parameters": {
"resource": "document",
"modelId": {
"__rl": true,
"value": "models/gemini-2.5-pro",
"mode": "list",
"cachedResultName": "models/gemini-2.5-pro"
},
"text": "\u0420\u043e\u043b\u044c: \u0422\u044b \u2014 \u043e\u043f\u044b\u0442\u043d\u044b\u0439 \u0438\u043d\u0436\u0435\u043d\u0435\u0440 \u043f\u043e \u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044e (QA Engineer) \u0441 \u0433\u043b\u0443\u0431\u043e\u043a\u0438\u043c\u0438 \u0437\u043d\u0430\u043d\u0438\u044f\u043c\u0438 \u043c\u0435\u0442\u043e\u0434\u043e\u043b\u043e\u0433\u0438\u0439 \u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f (\u0432\u043a\u043b\u044e\u0447\u0430\u044f \u0447\u0435\u0440\u043d\u044b\u0439 \u044f\u0449\u0438\u043a, \u043f\u043e\u0437\u0438\u0442\u0438\u0432\u043d\u043e\u0435/\u043d\u0435\u0433\u0430\u0442\u0438\u0432\u043d\u043e\u0435, \u0433\u0440\u0430\u043d\u0438\u0447\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0438 \u044d\u043a\u0432\u0438\u0432\u0430\u043b\u0435\u043d\u0442\u043d\u043e\u0435 \u0440\u0430\u0437\u0431\u0438\u0435\u043d\u0438\u0435). \u0422\u0432\u043e\u044f \u0437\u0430\u0434\u0430\u0447\u0430 \u2014 \u043f\u0440\u043e\u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u044b\u0435 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f (\u0438\u043b\u0438 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 \u0438\u0445 \u0430\u043d\u0430\u043b\u0438\u0437\u0430) \u0438 \u0441\u0433\u0435\u043d\u0435\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u043e\u043b\u043d\u044b\u0439, \u0434\u0435\u0442\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u0438 \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u043d\u0430\u0431\u043e\u0440 \u0442\u0435\u0441\u0442-\u043a\u0435\u0439\u0441\u043e\u0432.\n\n\u0426\u0435\u043b\u044c: \u0421\u043e\u0437\u0434\u0430\u0442\u044c \u0432\u044b\u0441\u043e\u043a\u043e\u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0435 \u0442\u0435\u0441\u0442-\u043a\u0435\u0439\u0441\u044b, \u043f\u043e\u043a\u0440\u044b\u0432\u0430\u044e\u0449\u0438\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0435 \u0438, \u0433\u0434\u0435 \u043f\u0440\u0438\u043c\u0435\u043d\u0438\u043c\u043e, \u043d\u0435\u0444\u0443\u043d\u043a\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0435 \u0430\u0441\u043f\u0435\u043a\u0442\u044b \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u0439.\n\n\u0418\u043d\u0441\u0442\u0440\u0443\u043a\u0446\u0438\u0438:\n\n\u041f\u043e\u043a\u0440\u044b\u0442\u0438\u0435: \u041e\u0431\u0435\u0441\u043f\u0435\u0447\u044c \u043f\u043e\u043b\u043d\u043e\u0435 \u043f\u043e\u043a\u0440\u044b\u0442\u0438\u0435 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u0439. \u0413\u0435\u043d\u0435\u0440\u0438\u0440\u0443\u0439 \u0442\u0435\u0441\u0442-\u043a\u0435\u0439\u0441\u044b \u0434\u043b\u044f \u043f\u043e\u0437\u0438\u0442\u0438\u0432\u043d\u044b\u0445 \u0441\u0446\u0435\u043d\u0430\u0440\u0438\u0435\u0432, \u043d\u0435\u0433\u0430\u0442\u0438\u0432\u043d\u044b\u0445 \u0441\u0446\u0435\u043d\u0430\u0440\u0438\u0435\u0432, \u0433\u0440\u0430\u043d\u0438\u0447\u043d\u044b\u0445 \u0443\u0441\u043b\u043e\u0432\u0438\u0439 (boundary value analysis) \u0438 \u043a\u043b\u0430\u0441\u0441\u043e\u0432 \u044d\u043a\u0432\u0438\u0432\u0430\u043b\u0435\u043d\u0442\u043d\u043e\u0441\u0442\u0438 (equivalence partitioning).\n\n\u0414\u0435\u0442\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f: \u041a\u0430\u0436\u0434\u044b\u0439 \u0442\u0435\u0441\u0442-\u043a\u0435\u0439\u0441 \u0434\u043e\u043b\u0436\u0435\u043d \u0431\u044b\u0442\u044c \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u043e \u0434\u0435\u0442\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u043c, \u043e\u0434\u043d\u043e\u0437\u043d\u0430\u0447\u043d\u044b\u043c \u0438 \u0432\u043e\u0441\u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u043c\u044b\u043c.\n\n\u041f\u0440\u0438\u043e\u0440\u0438\u0442\u0435\u0437\u0430\u0446\u0438\u044f: \u0423\u0441\u0442\u0430\u043d\u043e\u0432\u0438 \u0430\u0434\u0435\u043a\u0432\u0430\u0442\u043d\u044b\u0439 \u043f\u0440\u0438\u043e\u0440\u0438\u0442\u0435\u0442 \u0434\u043b\u044f \u043a\u0430\u0436\u0434\u043e\u0433\u043e \u0442\u0435\u0441\u0442-\u043a\u0435\u0439\u0441\u0430, \u0438\u0441\u0445\u043e\u0434\u044f \u0438\u0437 \u0435\u0433\u043e \u043a\u0440\u0438\u0442\u0438\u0447\u043d\u043e\u0441\u0442\u0438 \u0434\u043b\u044f \u0431\u0438\u0437\u043d\u0435\u0441-\u043b\u043e\u0433\u0438\u043a\u0438.\n\n\u0418\u0441\u0445\u043e\u0434\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435: \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439 \u0432\u0441\u0435 \u0434\u0430\u043d\u043d\u044b\u0435 \u0438\u0437 \u043f\u0440\u043e\u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0433\u043e \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430 (\u0438\u043b\u0438 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0430\u043d\u0430\u043b\u0438\u0437\u0430) \u0434\u043b\u044f \u0432\u044b\u044f\u0432\u043b\u0435\u043d\u0438\u044f \u0432\u0441\u0435\u0445 \u0441\u0446\u0435\u043d\u0430\u0440\u0438\u0435\u0432.\n\n\u0424\u043e\u0440\u043c\u0430\u0442: \u041e\u0442\u0432\u0435\u0442 \u0434\u043e\u043b\u0436\u0435\u043d \u0431\u044b\u0442\u044c \u0441\u0442\u0440\u043e\u0433\u043e \u0432 \u0444\u043e\u0440\u043c\u0430\u0442\u0435 JSON.\n{\n \"project_name\": \"\u041d\u0430\u0437\u0432\u0430\u043d\u0438\u0435 \u043f\u0440\u043e\u0435\u043a\u0442\u0430\",\n \"test_suite_title\": \"\u0422\u0435\u0441\u0442-\u0441\u044c\u044e\u0442 \u0434\u043b\u044f [\u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0441\u0442\u0438]\",\n \"test_cases\": [\n {\n \"test_case_id\": \"TC-001\",\n \"title\": \"...\",\n \"requirement_id\": \"...\",\n \"priority\": \"...\",\n \"type\": \"...\",\n \"preconditions\": [\n \"...\"\n ],\n \"steps\": [\n \"...\"\n ],\n \"test_data\": {\n \"key1\": \"value1\"\n },\n \"expected_result\": \"...\",\n \"scenario_type\": \"...\"\n },\n // ... \u0434\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0442\u0435\u0441\u0442-\u043a\u0435\u0439\u0441\u044b\n ]\n}",
"documentUrls": "https://docs.google.com/document/d/1u8-y8Tn65mJtrmgr03plFjmnycb6fO1PpFvlBYp7kRI/edit?tab=t.0#heading=h.58anaqenjho1",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"typeVersion": 1,
"position": [
-1744,
-1392
],
"id": "f319779b-69de-4def-910f-1d20b8f6a551",
"name": "agentDesigner",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "// \u041a\u043e\u0434 \u0434\u043b\u044f \u0443\u0437\u043b\u0430 Code (Execution Mode: Run Once for All Items)\n\nconst agentResponse = items[0].json;\n\n// 1. \u0418\u0437\u0432\u043b\u0435\u0447\u0435\u043d\u0438\u0435 \u0442\u0435\u043a\u0441\u0442\u0430, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0435\u0433\u043e JSON\nconst rawText = agentResponse.content.parts[0].text;\n\n// 2. \u041e\u0447\u0438\u0441\u0442\u043a\u0430 \u0442\u0435\u043a\u0441\u0442\u0430 \u043e\u0442 Markdown \u043e\u0431\u0435\u0440\u0442\u043a\u0438 (```json\\n \u0438 \\n```)\nlet jsonString = rawText.trim();\n\nif (jsonString.startsWith('```json\\n')) {\n jsonString = jsonString.substring('```json\\n'.length);\n} \n\nif (jsonString.endsWith('\\n```')) {\n jsonString = jsonString.substring(0, jsonString.length - '\\n```'.length);\n} else if (jsonString.endsWith('```')) {\n jsonString = jsonString.substring(0, jsonString.length - '```'.length);\n}\n\n// \ud83d\udca5 \u041d\u041e\u0412\u042b\u0419 \u0428\u0410\u0413 \u0418\u0421\u041f\u0420\u0410\u0412\u041b\u0415\u041d\u0418\u042f: \u0417\u0430\u043c\u0435\u043d\u0430 JS-\u0444\u0443\u043d\u043a\u0446\u0438\u0439 \u043d\u0430 \u0441\u0442\u0440\u043e\u043a\u043e\u0432\u044b\u0435 \u043b\u0438\u0442\u0435\u0440\u0430\u043b\u044b\n// \u0420\u0435\u0433\u0443\u043b\u044f\u0440\u043d\u043e\u0435 \u0432\u044b\u0440\u0430\u0436\u0435\u043d\u0438\u0435 \u0438\u0449\u0435\u0442 \u0448\u0430\u0431\u043b\u043e\u043d: \"\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435\".repeat(N)\n// \u0438 \u0437\u0430\u043c\u0435\u043d\u044f\u0435\u0442 \u0435\u0433\u043e \u043d\u0430 \u0441\u0442\u0440\u043e\u043a\u043e\u0432\u044b\u0439 \u043b\u0438\u0442\u0435\u0440\u0430\u043b \u0441 \u0444\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u043c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435\u043c (\u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \"a...a\")\njsonString = jsonString.replace(/\"(.)\"\\.repeat\\((\\d+)\\)/g, (match, char, count) => {\n // char - \u0441\u0438\u043c\u0432\u043e\u043b \u0434\u043b\u044f \u043f\u043e\u0432\u0442\u043e\u0440\u0435\u043d\u0438\u044f (\u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \"a\")\n // count - \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043f\u043e\u0432\u0442\u043e\u0440\u0435\u043d\u0438\u0439 (\u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, 50)\n const repeatCount = parseInt(count, 10);\n // \u0421\u043e\u0437\u0434\u0430\u0435\u043c \u0441\u0442\u0440\u043e\u043a\u0443 \u0438\u0437 N \u043f\u043e\u0432\u0442\u043e\u0440\u0435\u043d\u0438\u0439 \u0441\u0438\u043c\u0432\u043e\u043b\u0430, \u0438 \u043e\u0431\u043e\u0440\u0430\u0447\u0438\u0432\u0430\u0435\u043c \u0432 \u043a\u0430\u0432\u044b\u0447\u043a\u0438 \u0434\u043b\u044f JSON\n return JSON.stringify(char.repeat(repeatCount));\n});\n\n// 3. \u041f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u043e\u0447\u0438\u0449\u0435\u043d\u043d\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u0438 JSON \u0432 \u043e\u0431\u044a\u0435\u043a\u0442\nlet parsedObject;\ntry {\n parsedObject = JSON.parse(jsonString);\n} catch (error) {\n console.error(\"\u041e\u0448\u0438\u0431\u043a\u0430 \u043f\u0430\u0440\u0441\u0438\u043d\u0433\u0430 JSON (\u043f\u043e\u0441\u043b\u0435 \u0438\u0441\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f):\", error);\n throw new Error(\"\u041d\u0435 \u0443\u0434\u0430\u043b\u043e\u0441\u044c \u0440\u0430\u0441\u043f\u0430\u0440\u0441\u0438\u0442\u044c JSON, \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u043d\u044b\u0439 \u043e\u0442 \u0430\u0433\u0435\u043d\u0442\u0430-\u0434\u0438\u0437\u0430\u0439\u043d\u0435\u0440\u0430. \u041f\u0440\u043e\u0432\u0435\u0440\u044c\u0442\u0435 \u0444\u043e\u0440\u043c\u0430\u0442 \u0432\u044b\u0432\u043e\u0434\u0430.\");\n}\n\n// 4. \u0412\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u043c \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\nreturn [{ json: parsedObject }];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-1584,
-1392
],
"id": "bbb215ce-77a6-4d6a-bc6b-f6203efcac1a",
"name": "parsing_data_agent_predesign2"
},
{
"parameters": {
"operation": "xlsx",
"options": {}
},
"type": "n8n-nodes-base.convertToFile",
"typeVersion": 1.1,
"position": [
-1408,
-1392
],
"id": "af821d6c-5f8c-4b3e-8c28-a7b08f1f7adc",
"name": "Convert to File"
},
{
"parameters": {
"jsCode": "// \u041f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043a\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0434\u043b\u044f TMS \u0438\u043d\u0442\u0435\u0433\u0440\u0430\u0446\u0438\u0438\nconst parsedData = $input.item.json;\n\n// \u0418\u0437\u0432\u043b\u0435\u043a\u0430\u0435\u043c \u0442\u0435\u0441\u0442-\u043a\u0435\u0439\u0441\u044b \u0438\u0437 \u0440\u0430\u0437\u043d\u044b\u0445 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u044b\u0445 \u0444\u043e\u0440\u043c\u0430\u0442\u043e\u0432\nlet testCases = [];\n\nif (Array.isArray(parsedData)) {\n testCases = parsedData[0]?.test_cases || parsedData[0]?.data?.test_cases || [];\n} else if (parsedData.test_cases) {\n testCases = parsedData.test_cases;\n} else if (parsedData.data?.test_cases) {\n testCases = parsedData.data.test_cases;\n} else if (parsedData[0]?.test_cases) {\n testCases = parsedData[0].test_cases;\n}\n\n// \u0412\u0430\u043b\u0438\u0434\u0430\u0446\u0438\u044f\nif (!Array.isArray(testCases) || testCases.length === 0) {\n throw new Error('No test cases found in parsed data');\n}\n\n// \u041f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043a\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0434\u043b\u044f TMS\nreturn [{\n json: {\n project_id: 'ai-agent-tests',\n project_name: 'AI Agent Test Cases',\n test_cases: testCases,\n source: 'agentDesigner',\n generated_at: new Date().toISOString(),\n workflow_id: $workflow.id,\n execution_id: $execution.id\n }\n}];"
},
"id": "352c5804-67d8-4191-baa9-f32021070995",
"name": "Prepare for TMS",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-1384,
-1392
]
},
{
"parameters": {
"workflowId": {
"__rl": true,
"value": "TMS Integration",
"mode": "list"
},
"source": "workflow",
"waitForExecution": true,
"inputData": "json",
"inputDataJson": "={{ $json }}",
"options": {}
},
"id": "b0501eae-f216-4d96-adf0-b4a3704709f3",
"name": "Execute Workflow (TMS)",
"type": "n8n-nodes-base.executeWorkflow",
"typeVersion": 1.1,
"position": [
-1184,
-1392
]
}
],
"connections": {
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"OpenRouter Chat Model2": {
"main": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Simple Memory": {
"main": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "agentDesigner",
"type": "main",
"index": 0
}
]
]
},
"agentDesigner": {
"main": [
[
{
"node": "parsing_data_agent_predesign2",
"type": "main",
"index": 0
}
]
]
},
"parsing_data_agent_predesign2": {
"main": [
[
{
"node": "Prepare for TMS",
"type": "main",
"index": 0
}
]
]
},
"Prepare for TMS": {
"main": [
[
{
"node": "Execute Workflow (TMS)",
"type": "main",
"index": 0
}
]
]
},
"Execute Workflow (TMS)": {
"main": [
[
{
"node": "Convert to File",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
},
"staticData": null,
"tags": [],
"triggerCount": 1,
"updatedAt": null,
"versionId": "56e9a31f-9417-4e3d-b476-9b43f70b0552"
}
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.
googlePalmApiopenRouterApi
Pro
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About this workflow
AgentQA. Uses chatTrigger, lmChatOpenRouter, agent, memoryBufferWindow. Chat trigger; 9 nodes.
Source: https://github.com/Sonimi7/qa-agent-pipeline/blob/dbb72dd8654867d737f7ec2b67c310b0e28b5e4f/AgentQA-simplified.json — original creator credit. Request a take-down →
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