mqtt node #13499
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in linear
Issue or PR has been created in Linear for internal review
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Hey @aeoniv, We have created an internal ticket to look into this which we will be tracking as "GHC-956" |
Joffcom
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in linear
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Are you getting an error when trying to auth? If there is no error maybe it is not an authentication issue and more of a connection issue. |
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Describe the problem/error/question
Authentication with HiveMQ mqtt broker does not work
What is the error message (if any)?
No error message, just keep loading
Please share your workflow/screenshots/recording
{ "nodes": [ { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter", "typeVersion": 1, "position": [ 3540, 4000 ], "id": "b260f6aa-a5a5-4bf4-a72e-7187c4d4f172", "name": "Recursive Character Text Splitter" }, { "parameters": { "dataType": "binary", "options": {} }, "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader", "typeVersion": 1, "position": [ 3500, 3800 ], "id": "a27cde41-1686-44e1-8c29-680c8cfe64aa", "name": "Default Data Loader" }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "typeVersion": 1.2, "position": [ 3340, 3920 ], "id": "d36478ff-1871-420a-961a-6e2b4d030594", "name": "Embeddings OpenAI", "credentials": { "openAiApi": { "id": "EPIk7ws0P1kfNA1n", "name": "OpenAi account" } } }, { "parameters": { "mode": "insert", "pineconeIndex": { "__rl": true, "value": "ix88", "mode": "list", "cachedResultName": "ix88" }, "options": { "pineconeNamespace": "ix_namespace" } }, "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone", "typeVersion": 1, "position": [ 3360, 3460 ], "id": "8c8fcb41-be25-4bb0-bb41-401269dbfeef", "name": "Pinecone Vector Store", "credentials": { "pineconeApi": { "id": "3tINVGvUOzJnYFHX", "name": "PineconeApi account" } } }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.splitInBatches", "typeVersion": 3, "position": [ 3060, 3440 ], "id": "3241cdf1-17d8-480f-9a98-7d98585e22ff", "name": "Loop Over Items" }, { "parameters": { "operation": "download", "fileId": { "__rl": true, "value": "={{ $json.id }}", "mode": "id" }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 2580, 3440 ], "id": "f8994c89-4048-479e-a09e-2a5f96fbb7db", "name": "Google Drive1", "credentials": { "googleDriveOAuth2Api": { "id": "jn9hkIGtMbQuzkrB", "name": "Google Drive account 5" } } }, { "parameters": { "resource": "fileFolder", "filter": { "folderId": { "__rl": true, "value": "1OyshEXjMzugp6uZsCAy6HwhlZcbfIjQC", "mode": "list", "cachedResultName": "Profiles json", "cachedResultUrl": "https://drive.google.com/drive/folders/1OyshEXjMzugp6uZsCAy6HwhlZcbfIjQC" } }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 2340, 3440 ], "id": "8c5030f2-800f-462b-9285-8efc7067917f", "name": "Google Drive", "credentials": { "googleDriveOAuth2Api": { "id": "jn9hkIGtMbQuzkrB", "name": "Google Drive account 5" } } }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "typeVersion": 1.2, "position": [ 2980, 3120 ], "id": "052f29d4-fd97-4bbe-b305-298fde28d44c", "name": "Embeddings OpenAI2", "credentials": { "openAiApi": { "id": "EPIk7ws0P1kfNA1n", "name": "OpenAi account" } } }, { "parameters": { "model": { "__rl": true, "value": "gpt-4o", "mode": "list", "cachedResultName": "gpt-4o" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 3400, 2980 ], "id": "7fe0a1b0-f669-4ddf-9b9e-f461a4e491aa", "name": "OpenAI Chat Model1", "credentials": { "openAiApi": { "id": "EPIk7ws0P1kfNA1n", "name": "OpenAi account" } } }, { "parameters": { "pineconeIndex": { "__rl": true, "value": "ix88", "mode": "list", "cachedResultName": "ix88" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone", "typeVersion": 1, "position": [ 2980, 2940 ], "id": "45affa12-68c2-43ed-ad56-08d99dc86ef1", "name": "Pinecone Vector Store1", "credentials": { "pineconeApi": { "id": "3tINVGvUOzJnYFHX", "name": "PineconeApi account" } } }, { "parameters": { "name": "ix64", "description": "Retrieve information " }, "type": "@n8n/n8n-nodes-langchain.toolVectorStore", "typeVersion": 1, "position": [ 3200, 2800 ], "id": "cbb8c216-0ebf-495c-a8d3-67cffeec7525", "name": "Answer questions with a vector store" }, { "parameters": { "sessionIdType": "customKey", "sessionKey": "={{ $('When chat message received').item.json.chatInput }}" }, "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "typeVersion": 1.3, "position": [ 3100, 2660 ], "id": "a6bb8e70-45e3-49f4-9a29-0c8094fb4f2b", "name": "Window Buffer Memory" }, { "parameters": { "model": { "__rl": true, "value": "gpt-4o", "mode": "list", "cachedResultName": "gpt-4o" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 2940, 2660 ], "id": "89e62e18-ae01-436f-92ff-8f017ea6f719", "name": "OpenAI Chat Model", "credentials": { "openAiApi": { "id": "EPIk7ws0P1kfNA1n", "name": "OpenAi account" } } }, { "parameters": { "promptType": "define", "text": "={{ $json.chatInput }}", "options": { "systemMessage": "You are a Human Design matchmaking agent. Your job is to find compatible profiles for the input profile using the \"ix64\" vector store, which contains a database of Human Design profiles. Follow these steps:\n\n1. **Retrieve Profiles**: Use the \"ix64\" vector store to fetch all stored profiles.\n2. **Compare Input**: Analyze the input profile (available in $json.body) against each retrieved profile using these compatibility rules:\n - **Type**: High (10 points) for Generator/Manifesting Generator + Projector, Manifestor + Generator, Reflector + Reflector; moderate (5) for similar types; low (0) for mismatches.\n - **Authority**: High (10) for matching authorities, moderate (5) for complementary (e.g., Emotional + Sacral), low (0) for conflicts.\n - **Profile**: High (10) for complementary profiles (e.g., 1/3 + 4/6), moderate (5) for similar profiles.\n - **Channels**: High (10) for Companionship (shared channels) or Electromagnetic (complementary gates forming a channel, e.g., 27 + 50 = 27-50), moderate (5) for Compromise, low (0) for Dominance or no connection.\n - **Centers**: High (10) for defined in one + undefined in other, moderate (5) for both defined/undefined.\n - **Gates**: High (10) for matching gates (e.g., Sun_Birth), moderate (5) for complementary gates.\n3. **Score Matches**: Calculate a total score (max 60) for each retrieved profile.\n4. **Return Results**: Provide the top 3 matches (or all above 40 points) in this JSON format:\n{\n \"user_id\": \"<input_user_id from $json.body>\",\n \"matches\": [\n {\n \"user_id\": \"<matched_user_id>\",\n \"profile\": \"<matched_profile_summary, e.g., Type and Profile>\",\n \"score\": <score>,\n \"reason\": \"<explanation based on key factors>\"\n }\n ]\n}\n\nIf no profiles are found in the vector store, return:\n{\n \"user_id\": \"<input_user_id>\",\n \"matches\": [],\n \"error\": \"No profiles available in ix64 vector store for comparison\"\n}" } }, "id": "46785359-19de-4b6b-8923-d91139b0413f", "name": "RAG AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 1.6, "position": [ 2940, 2360 ] }, { "parameters": { "operation": "text", "options": {} }, "id": "76772fc0-deeb-4173-8594-05340b5e7ab3", "name": "Extract Document Text", "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1, "position": [ 2800, 3440 ], "alwaysOutputData": true }, { "parameters": { "topics": "test", "options": {} }, "type": "n8n-nodes-base.mqttTrigger", "typeVersion": 1, "position": [ 2580, 2360 ], "id": "0cf0397a-063d-4b20-b1b9-fb389b117c72", "name": "MQTT Trigger", "credentials": { "mqtt": { "id": "2eEKpVKdJMJMTO8g", "name": "MQTT account" } } } ], "connections": { "Recursive Character Text Splitter": { "ai_textSplitter": [ [ { "node": "Default Data Loader", "type": "ai_textSplitter", "index": 0 } ] ] }, "Default Data Loader": { "ai_document": [ [ { "node": "Pinecone Vector Store", "type": "ai_document", "index": 0 } ] ] }, "Embeddings OpenAI": { "ai_embedding": [ [ { "node": "Pinecone Vector Store", "type": "ai_embedding", "index": 0 } ] ] }, "Pinecone Vector Store": { "main": [ [ { "node": "Loop Over Items", "type": "main", "index": 0 } ] ] }, "Loop Over Items": { "main": [ [], [ { "node": "Pinecone Vector Store", "type": "main", "index": 0 } ] ] }, "Google Drive1": { "main": [ [ { "node": "Extract Document Text", "type": "main", "index": 0 } ] ] }, "Google Drive": { "main": [ [ { "node": "Google Drive1", "type": "main", "index": 0 } ] ] }, "Embeddings OpenAI2": { "ai_embedding": [ [ { "node": "Pinecone Vector Store1", "type": "ai_embedding", "index": 0 } ] ] }, "OpenAI Chat Model1": { "ai_languageModel": [ [ { "node": "Answer questions with a vector store", "type": "ai_languageModel", "index": 0 } ] ] }, "Pinecone Vector Store1": { "ai_vectorStore": [ [ { "node": "Answer questions with a vector store", "type": "ai_vectorStore", "index": 0 } ] ] }, "Answer questions with a vector store": { "ai_tool": [ [ { "node": "RAG AI Agent", "type": "ai_tool", "index": 0 } ] ] }, "Window Buffer Memory": { "ai_memory": [ [ { "node": "RAG AI Agent", "type": "ai_memory", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "RAG AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "RAG AI Agent": { "main": [ [] ] }, "Extract Document Text": { "main": [ [ { "node": "Loop Over Items", "type": "main", "index": 0 } ] ] }, "MQTT Trigger": { "main": [ [ { "node": "RAG AI Agent", "type": "main", "index": 0 } ] ] } }, "pinData": {}, "meta": { "templateCredsSetupCompleted": true, "instanceId": "b7f3da10e55126a1317c18803d00b965733dd650296234a438415c26d285a04f" } }Share the output returned by the last node
Debug info
core
storage
pruning
client
Generated at: 2025-02-24T15:48:50.222Z}
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