{"workflow":{"id":13407,"name":"Create a human-like Evolution API WhatsApp agent with Redis, PostgreSQL and Gemini","views":1865,"recentViews":7,"totalViews":1865,"createdAt":"2026-02-15T04:05:30.841Z","description":"## 🤖 Human-like Evolution API Agent with Redis & PostgreSQL\n\nThis production-ready template builds a sophisticated AI Agent using **Evolution API** that mimics human interaction patterns. Unlike standard chatbots that reply instantly to every incoming message, this workflow uses a **Smart Redis Buffering System**. It waits for the user to finish typing their full thought (text, audio, or image albums) before processing, creating a natural, conversational flow.\n\nIt features a **Hybrid Memory Architecture**: active conversations are cached in Redis for ultra-low latency, while the complete chat history is securely stored in PostgreSQL. To optimize token usage and maintain long-term coherence, a **Context Refiner Agent** summarizes the conversation history before the Main AI generates a response.\n\n### ✨ Key Features\n\n-   **Human-like Buffering:** The agent waits (configurable time) to group consecutive messages, voice notes, and media albums into a single context. This prevents fragmented replies and feels like talking to a real person.\n-   **Hybrid Memory:** Combines **Redis** (Hot Cache) for speed and **PostgreSQL** (Cold Storage) for permanent history.\n-   **Context Refinement:** A specialized AI step summarizes past interactions, allowing the Main Agent to understand long conversations without exceeding token limits or increasing costs.\n-   **Multi-Modal Support:** Natively handles text, audio transcription, and image analysis via Evolution API.\n-   **Parallel Processing:** Manages \"typing...\" status and session checks in parallel to reduce response latency.\n\n### 📋 Requirements\n\nTo use this workflow, you must configure the Evolution API correctly:\n\n1.  **Evolution API Instance:** You need a running instance of Evolution API.\n    -   [Configuration Guide](https://community.n8n.io/t/evolution-api-and-n8n-how-to-configure/96559)\n2.  **N8n Community Node:** Install the Evolution API node in your n8n instance.\n    -   [n8n-nodes-evolution-api](https://www.npmjs.com/package/n8n-nodes-evolution-api)\n3.  **Database:** A **PostgreSQL** database for chat history and a **Redis** instance for the buffer/cache.\n4.  **AI Models:** API keys for your LLM (OpenAI, Anthropic, or Google Gemini).\n\n### ⚙️ Setup Instructions\n\n1.  **Install the Node:** Go to `Settings &gt; Community Nodes` in n8n and install `n8n-nodes-evolution-api`.\n2.  **Credentials:** Configure credentials for Redis, PostgreSQL, and your AI provider (e.g., OpenAI/Gemini).\n3.  **Database Setup:** Create a `chat_history` table in PostgreSQL (columns must match the Insert node).\n4.  **Redis Connection:** Configure your Redis credentials in the workflow nodes.\n5.  **Global Variables:** Set the following in the \"Global Variables\" node:\n    -   `wait_buffer`: Seconds to wait for the user to stop typing (e.g., 5s).\n    -   `wait_conversation`: Seconds to keep the cache alive (e.g., 300s).\n    -   `max_chat_history`: Number of past messages to retrieve.\n6.  **Webhook:** Point your Evolution API instance to this workflow's Webhook URL.\n\n### 🚀 How it Works\n\n1.  **Ingestion:** Receives data via Evolution API. Detects if it's text, audio, or an album.\n2.  **Smart Buffering:** Holds the execution to collect all parts of the user's message (simulating a human reading/listening).\n3.  **Context Retrieval:** Checks Redis for the active session. If empty, fetches from PostgreSQL.\n4.  **Refinement:** The Refiner Agent summarizes the history to extract key details.\n5.  **Response:** The Main Agent generates a reply based on the refined context and current buffer, then saves it to both Redis and Postgres.\n## 💡 Need Assistance?\n\nIf you’d like help customizing or extending this workflow, feel free to reach out:  \n\n📧 Email: [johnsilva11031@gmail.com](mailto:johnsilva11031@gmail.com)  \n🔗 LinkedIn: [John Alejandro Silva Rodríguez](https://www.linkedin.com/in/john-alejandro-silva-rodriguez-48093526b/)","workflow":{"meta":{"instanceId":"f4f03bff2fcea644128ded7835e3a8cd3eaeebd8b5f3567bd2a7fe4ea7560d30","templateCredsSetupCompleted":true},"nodes":[{"id":"3068fa7a-cd7a-400e-915f-7c78dc041770","name":"Descargar Media","type":"n8n-nodes-evolution-api.evolutionApi","position":[4400,1360],"parameters":{"resource":"chat-api","messageId":"={{ $('Webhook').item.json.body.data.key.id }}","operation":"get-media-base64","instanceName":"={{ 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Your sole purpose is to deconstruct any given audio file into its most fundamental components and provide a comprehensive, multi-layered, and hyper-detailed textual description. Your analysis must be objective, thorough, and structured according to the protocol below.\n\n### CRITICAL OUTPUT REQUIREMENT\nYour entire response MUST be the raw text description and nothing else.\n- DO NOT include preambles like \"Here is the analysis of the audio.\"\n- DO NOT use markdown formatting like headers or bolding.\n- DO NOT apologize for limitations or mention that you are an AI.\n- Your output must begin directly with the analysis.\n\n### HIERARCHICAL ANALYSIS PROTOCOL\nYou must process every audio file by following these five layers of analysis in order.\n\n**LAYER 1: TRIAGE & PROFILE IDENTIFICATION**\nFirst, silently identify the overall category of the audio to determine the primary analysis mode. Categories include: [Human Speech], [Music], [Environmental Soundscape], or [Complex Mix (e.g., film clip, podcast with music)]. State the identified category at the beginning of your description. Example: \"Category: Human Speech.\"\n\n**LAYER 2: PRIMARY CONTENT DECONSTRUCTION (SPECIALIZED ANALYSIS)**\nBased on the category from Layer 1, perform a forensic-level analysis of the primary audio content.\n\n*   **If [Human Speech]:**\n    *   **Verbatim Transcription:** Provide a full and accurate transcription of every word spoken.\n    *   **Speaker Diarization:** If multiple speakers are present, label them clearly (e.g., \"Speaker 1:\", \"Speaker 2:\").\n    *   **Speaker Profile (for each speaker):**\n        *   **Vocal Characteristics:** Describe the voice's pitch (high, low, medium), timbre (e.g., resonant, raspy, clear, breathy), and estimated age range (e.g., child, young adult, middle-aged, senior).\n        *   **Accent/Dialect:** Identify any discernible regional accent or dialect.\n    *   **Paralinguistic Analysis (The 'How'):**\n        *   **Pace & Cadence:** Describe the speed of speech (e.g., \"fast and hurried,\" \"slow and deliberate,\" \"pauses frequently\"). Estimate words per minute if possible.\n        *   **Volume & Dynamics:** Describe the volume (e.g., \"whispering,\" \"normal conversational level,\" \"shouting\") and any changes in dynamics.\n        *   **Intonation & Pitch Variation:** Describe the melodic contour of the speech (e.g., \"monotonous,\" \"highly expressive with rising and falling pitch\").\n    *   **Emotional Tone Analysis:** Infer the emotional state of each speaker based on all vocal cues (e.g., \"joyful and excited,\" \"frustrated and tense,\" \"calm and reassuring,\" \"sarcastic\").\n    *   **Intent & Pragmatics (The 'Why'):** Determine the purpose of the speech. Is it a direct command, a question, a narrative story, a complaint, a casual conversation, a formal presentation? This is the most critical analysis for agent instructions.\n\n*   **If [Music]:**\n    *   **Genre & Style:** Identify the genre with precision (e.g., \"Classical Baroque,\" \"Lo-fi Hip Hop,\" \"Industrial Metal\").\n    *   **Instrumentation:** List every audible instrument (e.g., \"acoustic guitar, 808 drum machine, electric piano, female vocals\").\n    *   **Structural Analysis:** Describe the song's structure (e.g., \"Intro, Verse 1, Chorus, Verse 2, Chorus, Bridge, Guitar Solo, Outro\").\n    *   **Musical Elements:** Detail the tempo (estimate BPM), key (major/minor), rhythm, melody, and harmony.\n    *   **Mood & Atmosphere:** Describe the feeling the music evokes (e.g., \"energetic and uplifting,\" \"melancholic and introspective,\" \"suspenseful and tense\").\n\n*   **If [Environmental Soundscape]:**\n    *   **Location Identification:** Infer the physical location from the sounds (e.g., \"Busy downtown street corner during rush hour,\" \"Quiet forest with birdsong,\" \"Crowded indoor cafe\").\n    *   **Sound Source Catalog:** Systematically list and describe every distinct sound. Be specific about its characteristics and spatial position (e.g., \"Distant siren moving from left to right,\" \"Footsteps on wet pavement approaching,\" \"The clinking of ceramic mugs and a nearby espresso machine hiss\").\n\n**LAYER 3: ACOUSTIC ENVIRONMENT ANALYSIS**\nDescribe the \"room\" or space where the audio was recorded.\n*   **Background Noise (Noise Floor):** Identify any constant, low-level sounds (e.g., \"60Hz electrical hum,\" \"HVAC system running,\" \"computer fan,\" \"distant traffic rumble\").\n*   **Ambient Sounds:** Detail any intermittent, secondary sounds that are not part of the primary content (e.g., \"a distant dog bark,\" \"a cough from the speaker,\" \"a phone notification chime\").\n*   **Reverberation & Space:** Describe the acoustic properties of the space. Is it a \"dry\" sound (small, acoustically treated room) or a \"wet\" sound with a long decay (large, empty hall, church, or cave)?\n\n**LAYER 4: TECHNICAL PRODUCTION ANALYSIS**\nDeconstruct the audio file as a recording.\n*   **Recording Quality:** Describe the fidelity (e.g., \"high-fidelity studio recording,\" \"mid-quality phone voice memo,\" \"low-fidelity, compressed audio\").\n*   **Stereo Field:** Is the recording in mono or stereo? If stereo, describe the placement of sounds in the left-right field.\n*   **Dynamic Range:** Is the volume compressed and consistently loud, or is there a natural range between quiet and loud parts?\n*   **Artifacts & Imperfections:** Identify any technical flaws (e.g., \"audible clipping/distortion on peaks,\" \"digital compression artifacts,\" \"hiss from a low-quality microphone,\" \"plosives ('p' and 'b' sounds popping)\").\n\n**LAYER 5: INFERENCE & SYNTHESIS**\nConclude with a brief synthesis of all layers. What is the overall story, context, or purpose of this audio?\n*   **Example (Speech):** \"This is a voice command recorded by a user in a moving car, evidenced by the engine hum and road noise. The user sounds slightly rushed and is giving a direct instruction to the agent.\"\n*   **Example (Music):** \"This is a professionally produced instrumental track intended for a film score, designed to create a sense of mystery and anticipation.\"\n*   **Example (Environment):** \"This audio captures the ambient atmosphere of a public library, intended for relaxation or study.\"","modelId":{"__rl":true,"mode":"list","value":"models/gemini-2.5-flash","cachedResultName":"models/gemini-2.5-flash"},"options":{},"resource":"audio","inputType":"binary","operation":"analyze"},"credentials":{"googlePalmApi":{"id":"Pr8hxThM4qMjHnbs","name":"Karen"}},"typeVersion":1},{"id":"27d98d0d-58b8-443d-9d34-f1d0fb9a4516","name":"get_message (File message)","type":"n8n-nodes-base.set","position":[4544,2576],"parameters":{"options":{},"assignments":{"assignments":[{"id":"d8935452-fe20-469d-a68d-1aad056cb8dd","name":"message","type":"string","value":"={{ $('Descargar Media').item.json.data?.caption ? \"Captions: \" + $('Descargar Media').item.json.data.caption : \"\" }}\nFile name:{{ $('Descargar Media').item.json.data.fileName }}\nFile type:{{ $('Get Mime Type').item.json.fileTypeCategory }}\nExtracted data from file:\n{{ $json.data }}"}]}},"typeVersion":3.4},{"id":"f765c4c8-d702-470b-b810-7f3004d9fa08","name":"Aggregate","type":"n8n-nodes-base.aggregate","position":[3888,2160],"parameters":{"options":{},"aggregate":"aggregateAllItemData"},"typeVersion":1},{"id":"e502ef06-bca0-453a-8894-0affaff2fa3e","name":"get_error_message","type":"n8n-nodes-base.set","position":[3712,3792],"parameters":{"options":{},"assignments":{"assignments":[{"id":"d8935452-fe20-469d-a68d-1aad056cb8dd","name":"message","type":"string","value":"=It was not possible to process the file.File type not supported."}]}},"typeVersion":3.4},{"id":"9d472f84-1ef1-40cb-82e7-719fd7000fcb","name":"HTML Extract Generic1","type":"n8n-nodes-base.html","position":[3712,2304],"parameters":{"options":{"cleanUpText":true},"operation":"extractHtmlContent","sourceData":"binary","extractionValues":{"values":[{"key":"pageTitle","cssSelector":"title"},{"key":"metaDescription","cssSelector":"meta[name=\"description\"]"},{"key":"fullBodyText","cssSelector":"body","returnValue":"html"}]}},"typeVersion":1.2},{"id":"82f4508c-aca2-4b74-b7e7-61641c2449a2","name":"Get ODS data","type":"n8n-nodes-base.code","position":[3888,2736],"parameters":{"jsCode":"// Get the first item from the input array.\nconst firstItem = items[0];\n\n// Create a new object that has a single key: \"data\".\n// The value of \"data\" will be the entire json object from the input.\n// This gathers all fields (First Name, Last Name, Age, etc.) dynamically.\nconst result = {\n  data: firstItem.json\n};\n\n// Return the newly structured object.\n// It will be outputted as a single item with a 'json' property\n// containing the 'data' object.\nreturn result;"},"typeVersion":2},{"id":"d8f16a0d-0273-41c9-89ad-14a9a21a4875","name":"Normalize ODS","type":"n8n-nodes-base.set","position":[4048,2736],"parameters":{"options":{},"assignments":{"assignments":[{"id":"24b93984-e305-4c11-a856-5fa0bfaaaa79","name":"data","type":"string","value":"={{ $json.data }}"}]}},"typeVersion":3.4},{"id":"e940c6a8-f313-4ee5-aa4e-02dcc7168d44","name":"Normalize CSV","type":"n8n-nodes-base.set","position":[4048,2160],"parameters":{"options":{},"assignments":{"assignments":[{"id":"24b93984-e305-4c11-a856-5fa0bfaaaa79","name":"data","type":"string","value":"={{ $json.data }}"}]}},"typeVersion":3.4},{"id":"71f490ba-61a1-4737-875c-e1fdb3d15154","name":"Normalize HTML","type":"n8n-nodes-base.set","position":[3888,2304],"parameters":{"options":{},"assignments":{"assignments":[{"id":"b4ab7227-9db9-4c74-aa17-80071ee0a7f0","name":"data","type":"string","value":"=Page title:  {{ $json.pageTitle}}\nMeta description: {{ $json.metaDescription }}\nbody: {{ $json.fullBodyText }}"}]}},"typeVersion":3.4},{"id":"e2c39585-31a4-48f1-ab2e-d127e55601b2","name":"Normalize ICS","type":"n8n-nodes-base.set","position":[3888,2448],"parameters":{"options":{},"assignments":{"assignments":[{"id":"24b93984-e305-4c11-a856-5fa0bfaaaa79","name":"data","type":"string","value":"={{ $json.data }}"}]}},"typeVersion":3.4},{"id":"b58a311a-94f0-4098-a8a6-170c140bd8b3","name":"Normalize JSON","type":"n8n-nodes-base.set","position":[3888,2592],"parameters":{"options":{},"assignments":{"assignments":[{"id":"24b93984-e305-4c11-a856-5fa0bfaaaa79","name":"data","type":"string","value":"={{ $json.data }}"}]}},"typeVersion":3.4},{"id":"acd71229-d42f-465d-94bf-7dfb778703d1","name":"Normalize PDF","type":"n8n-nodes-base.set","position":[4048,2880],"parameters":{"options":{},"assignments":{"assignments":[{"id":"24b93984-e305-4c11-a856-5fa0bfaaaa79","name":"data","type":"string","value":"={{ $json.text }}"}]}},"typeVersion":3.4},{"id":"b42370d0-8168-49e6-afd8-d46c90cf9241","name":"Normalize RTF","type":"n8n-nodes-base.set","position":[4048,3200],"parameters":{"options":{},"assignments":{"assignments":[{"id":"24b93984-e305-4c11-a856-5fa0bfaaaa79","name":"data","type":"string","value":"={{ $json.data }}"}]}},"typeVersion":3.4},{"id":"b136b15b-bd61-4588-a38e-20cb4a5da56a","name":"Normalize text file","type":"n8n-nodes-base.set","position":[3888,3344],"parameters":{"options":{},"assignments":{"assignments":[{"id":"24b93984-e305-4c11-a856-5fa0bfaaaa79","name":"data","type":"string","value":"={{ $json.data }}"}]}},"typeVersion":3.4},{"id":"61f3aba5-20af-4b05-bebd-4f30489d0700","name":"Normalize XML","type":"n8n-nodes-base.set","position":[3888,3488],"parameters":{"options":{},"assignments":{"assignments":[{"id":"24b93984-e305-4c11-a856-5fa0bfaaaa79","name":"data","type":"string","value":"={{ $json.data }}"}]}},"typeVersion":3.4},{"id":"b88503f3-3acf-43ee-b44c-f9410ca75453","name":"Extract from XML","type":"n8n-nodes-base.extractFromFile","position":[3712,3488],"parameters":{"options":{},"operation":"xml"},"typeVersion":1},{"id":"1fc00f6e-ad2b-464b-b42f-9b5cc6b71e2b","name":"Normalize XLSX","type":"n8n-nodes-base.set","position":[4048,3632],"parameters":{"options":{},"assignments":{"assignments":[{"id":"24b93984-e305-4c11-a856-5fa0bfaaaa79","name":"data","type":"string","value":"={{ $json.data }}"}]}},"typeVersion":3.4},{"id":"74de89ed-af3f-47bb-9b9c-b994a316f9e3","name":"Get RTF data","type":"n8n-nodes-base.code","position":[3888,3200],"parameters":{"jsCode":"// Get the first item from the input array.\nconst firstItem = items[0];\n\n// Create a new object that has a single key: \"data\".\n// The value of \"data\" will be the entire json object from the input.\n// This gathers all fields (First Name, Last Name, Age, etc.) dynamically.\nconst result = {\n  data: firstItem.json\n};\n\n// Return the newly structured object.\n// It will be outputted as a single item with a 'json' property\n// containing the 'data' object.\nreturn result;"},"typeVersion":2},{"id":"6f62da6c-32ba-4acc-8bea-4643a7fe3eba","name":"Get RTF data1","type":"n8n-nodes-base.code","position":[3888,3632],"parameters":{"jsCode":"// Get the first item from the input array.\nconst firstItem = items[0];\n\n// Create a new object that has a single key: \"data\".\n// The value of \"data\" will be the entire json object from the input.\n// This gathers all fields (First Name, Last Name, Age, etc.) dynamically.\nconst result = {\n  data: firstItem.json\n};\n\n// Return the newly structured object.\n// It will be outputted as a single item with a 'json' property\n// containing the 'data' object.\nreturn result;"},"typeVersion":2},{"id":"a3824f70-80fd-44c8-be70-e32cf6d2c26d","name":"Text?","type":"n8n-nodes-base.if","position":[3888,2896],"parameters":{"options":{},"conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"333a436f-c087-4250-a181-40657874959b","operator":{"type":"string","operation":"notEmpty","singleValue":true},"leftValue":"={{ $json.text }}","rightValue":""}]}},"typeVersion":2.2},{"id":"3b1dc9af-f87b-48a9-ba64-c23460b43cc3","name":"Analyze document","type":"@n8n/n8n-nodes-langchain.googleGemini","position":[3888,3040],"parameters":{"text":"### IDENTITY & CORE MISSION\nYou are Codex, a world-class document analysis engine. Your sole purpose is to deconstruct any given PDF file into its structural, textual, visual, and metadata components, providing a single, comprehensive, and hyper-detailed textual description. Your analysis must be objective, exhaustive, and structured according to the protocol below.\n\n### CRITICAL OUTPUT REQUIREMENT\nYour entire response MUST be the raw text description and nothing else.\n- DO NOT include preambles like \"Here is the analysis of the PDF.\"\n- DO NOT use markdown formatting like headers or bolding unless specifically required for a table transcription.\n- DO NOT apologize for limitations or mention that you are an AI.\n- Your output must begin directly with the analysis.\n\n### HIERARCHICAL ANALYSIS PROTOCOL\nYou must process every PDF file by following these five layers of analysis in order.\n\n**LAYER 1: DOCUMENT TRIAGE & PROFILE IDENTIFICATION**\nFirst, silently identify the overall category of the document to determine the primary analysis mode. Categories include: [Invoice/Receipt], [Academic Paper/Report], [Marketing Brochure/Flyer], [Legal Contract], [Fillable Form], [Presentation Slides], [Book/Manual]. State the identified category at the beginning of your description. Example: \"Category: Invoice/Receipt.\"\n\n**LAYER 2: COMPREHENSIVE CONTENT EXTRACTION**\nThis is the core data extraction phase. Process the document page by page.\n\n*   **A. Verbatim Text Extraction & Structuring:**\n    *   Extract all textual content from the document.\n    *   Preserve the semantic structure. Do not output a single wall of text. Use line breaks to separate paragraphs, headings, and list items as they appear in the original document.\n    *   Prefix major sections with clear labels (e.g., \"HEADING:\", \"PARAGRAPH:\", \"LIST_ITEM:\").\n\n*   **B. Structured Data Analysis (Tables & Forms):**\n    *   **Table Extraction:** If any tables are present, identify them and transcribe their content into a machine-readable format like Markdown. Announce each table clearly.\n        **Format Example:**\n        `--- TABLE 1: PRODUCT DETAILS ---`\n        `| Product ID | Description      | Quantity | Unit Price | Total Price |`\n        `|------------|------------------|----------|------------|-------------|`\n        `| SKU-101    | Blue Widget      | 2        | $10.00     | $20.00      |`\n        `| SKU-203    | Red Gadget       | 5        | $5.50      | $27.50      |`\n        `--- END TABLE 1 ---`\n    *   **Form Field Identification:** If the document is a form, list all fillable fields and their labels (e.g., \"FORM_FIELD: Full Name\", \"FORM_FIELD: Date of Birth\", \"CHECKBOX: I agree to the terms\").\n\n*   **C. Visual Element Deconstruction:**\n    *   For every embedded image, chart, or significant graphic, provide a detailed description.\n    *   Announce each visual element with its page number and a label.\n    *   **Format Example:**\n        `--- VISUAL ELEMENT (Page 3): Bar Chart ---`\n        `Description: A vertical bar chart titled \"Quarterly Sales Growth\". The X-axis represents quarters Q1 to Q4. The Y-axis represents sales in millions. Q3 shows the highest sales at approximately $4.5M. The chart uses a blue and green color palette.`\n        `--- END VISUAL ---`\n\n**LAYER 3: DOCUMENT STRUCTURE & LAYOUT ANALYSIS**\nAnalyze the overall design and organization of the document.\n*   **Document Outline:** If there is a table of contents or clear hierarchical structure (e.g., Chapter 1, Section 1.1), reproduce it as a simple outline.\n*   **Layout & Typography:** Describe the visual presentation.\n    *   **Layout:** Note the number of columns, use of headers, footers, and page numbering.\n    *   **Typography:** Describe the primary font styles used (e.g., \"serif font for body text, sans-serif for headings\"), font sizes, and use of bolding or italics for emphasis.\n    *   **Color Scheme:** Identify the dominant colors used for text, backgrounds, and graphical elements.\n\n**LAYER 4: METADATA & FILE FORENSICS**\nExtract the non-visible, technical information embedded within the PDF file.\n*   **File Metadata:** List all available metadata fields.\n    *   `Title: [Extracted Title]`\n    *   `Author: [Extracted Author]`\n    *   `Subject: [Extracted Subject]`\n    *   `Keywords: [Extracted Keywords]`\n    *   `Creator Application: [e.g., Microsoft Word, Adobe InDesign CC]`\n    *   `PDF Producer: [e.g., Adobe PDF Library]`\n    *   `Creation Date: [Extracted Date]`\n    *   `Modification Date: [Extracted Date]`\n*   **File Properties:**\n    *   `Page Count: [Total number of pages]`\n    *   `Page Size: [e.g., 8.5 x 11 inches (US Letter), A4]`\n    *   `Text Status: [e.g., \"Native/Selectable Text\" or \"Image-based/Scanned Document\"]`\n    *   `Security: [e.g., \"No restrictions,\" \"Password protected,\" \"Printing not allowed\"]`\n\n**LAYER 5: INFERENCE & SYNTHESIS**\nConclude with a holistic synthesis of all layers. What is the document's primary purpose, intended audience, and key message?\n*   **Example (Invoice):** \"This is a standard commercial invoice generated by an automated accounting system. Its purpose is to bill a client for services rendered. The audience is the client's accounts payable department.\"\n*   **Example (Report):** \"This is a formal, professionally formatted annual report intended for company stakeholders. Its purpose is to present financial performance and strategic direction using a combination of detailed text, data tables, and illustrative charts.\"\n*   **Example (Brochure):** \"This is a visually-driven marketing brochure designed to attract new customers. It uses high-quality images, minimal text, and a vibrant color scheme to create an appealing brand image.\"","modelId":{"__rl":true,"mode":"list","value":"models/gemini-2.5-flash-lite","cachedResultName":"models/gemini-2.5-flash-lite"},"options":{},"resource":"document","inputType":"binary"},"credentials":{"googlePalmApi":{"id":"Pr8hxThM4qMjHnbs","name":"Karen"}},"typeVersion":1},{"id":"34a65725-8005-446f-98da-4d6068a1eaf3","name":"Normalize PDF (AI)","type":"n8n-nodes-base.set","position":[4048,3040],"parameters":{"options":{},"assignments":{"assignments":[{"id":"24b93984-e305-4c11-a856-5fa0bfaaaa79","name":"data","type":"string","value":"={{ $json.content.parts[0].text }}"}]}},"typeVersion":3.4},{"id":"2188e2ae-bb96-44b1-baa6-9ac055fc7cda","name":"Merge","type":"n8n-nodes-base.merge","position":[3712,3040],"parameters":{"mode":"chooseBranch","useDataOfInput":2},"typeVersion":3.2},{"id":"8877af77-2336-48f8-b6be-9f426df22e25","name":"Normalize input","type":"n8n-nodes-base.set","position":[5040,1728],"parameters":{"options":{},"assignments":{"assignments":[{"id":"eb807b26-c415-42d2-9cef-707825d6fa82","name":"message","type":"string","value":"={{ $json.message }}"}]}},"typeVersion":3.4},{"id":"a70cf6e8-1fff-4065-af6e-9d1f79c66324","name":"Convert to File","type":"n8n-nodes-base.convertToFile","position":[3040,2720],"parameters":{"options":{},"operation":"toBinary","sourceProperty":"data.base64"},"typeVersion":1.1},{"id":"4083d78a-775c-4085-97a8-710c51e8d0a5","name":"Analyze video","type":"@n8n/n8n-nodes-langchain.googleGemini","position":[3712,2016],"parameters":{"text":"### IDENTITY & CORE MISSION\nYou are Scrutator, a world-class multimedia analysis engine. Your sole purpose is to deconstruct any given video file into its most fundamental visual, auditory, and temporal components, providing a single, comprehensive, and hyper-detailed textual description. Your analysis must be objective, exhaustive, and structured according to the protocol below.\n\n### CRITICAL OUTPUT REQUIREMENT\nYour entire response MUST be the raw text description and nothing else.\n- DO NOT include preambles like \"Here is the analysis of the video.\"\n- DO NOT use markdown formatting like headers or bolding.\n- DO NOT apologize for limitations or mention that you are an AI.\n- Your output must begin directly with the analysis.\n\n### HIERARCHICAL ANALYSIS PROTOCOL\nYou must process every video file by following these five layers of analysis in order.\n\n**LAYER 1: TRIAGE & PROFILE IDENTIFICATION**\nFirst, silently identify the overall category of the video to determine the primary analysis modes. Categories include: [User Instruction/Vlog], [Document Scan/Presentation], [Food/Cooking Demo], [Cinematic/Narrative Clip], [Event Recording], [Environmental Scene]. State the identified category at the beginning of your description. Example: \"Category: User Instruction/Vlog.\"\n\n**LAYER 2: DUAL-STREAM DECONSTRUCTION (VISUAL & AUDITORY)**\nAnalyze the visual and audio streams in parallel, noting their interplay.\n\n**A. VISUAL STREAM ANALYSIS:**\nApply the full image analysis protocol to the video's visual content. Describe how these elements **evolve or change throughout the video's duration**.\n*   **Primary Subject(s):** Identify and analyze the main subjects (e.g., a person, a plate of food, a document).\n    *   **If Food:** Identify the dish, all ingredients, cooking methods, and portion size. Describe any actions performed on the food (e.g., \"slicing,\" \"sautéing,\" \"plating\").\n    *   **If Document/Receipt:** State that a document is present and that a full OCR transcription will follow in the audio stream analysis if the user reads it, or in the temporal analysis if it's held up to the camera.\n    *   **If Person:** Describe demographics, appearance, clothing, and actions.\n*   **Background & Context:** Detail the environment, secondary objects, and their spatial relationships.\n\n**B. AUDITORY STREAM ANALYSIS:**\nApply the full audio analysis protocol to the video's soundtrack.\n*   **Primary Content:**\n    *   **If Human Speech:** Provide a **verbatim transcription** with speaker diarization (\"Speaker 1:\", \"Speaker 2:\"). Analyze each speaker's vocal profile, emotional tone, and pragmatic intent (e.g., \"The user's intent is to issue a direct command to the agent\").\n    *   **If Music:** Identify genre, instrumentation, and mood.\n    *   **If Environmental Sounds:** Catalog all distinct sound sources.\n*   **Acoustic Environment & Technical Quality:** Describe background noise, reverberation, and recording quality.\n\n**LAYER 3: TEMPORAL & MOTION ANALYSIS (THE NARRATIVE OF CHANGE)**\nThis is the most critical layer for video. Deconstruct the sequence of events over time.\n*   **Scene & Shot Log:** Create a chronological log of events. Use timestamps to denote significant changes in action, subject, or camera angle.\n    *   **Format Example:**\n        `[00:00-00:03] - Close-up shot of a hand holding a grocery receipt. The camera is slightly shaky.`\n        `[00:04-00:09] - The user (Speaker 1) begins reading the items from the receipt aloud. The camera pans down the list of items.`\n        `[00:10-00:12] - Cut to a wide shot of the kitchen counter, showing the grocery items mentioned.`\n        `[00:13-00:15] - The user points to a carton of orange juice and asks a question.`\n*   **Object & Subject Tracking:** Describe the movement and actions of the primary subjects. (e.g., \"The user walks from the left to the right of the frame, placing a milk carton on the table.\").\n*   **Camera Work:** Describe all camera movements (e.g., \"static tripod shot,\" \"handheld with noticeable shake,\" \"slow pan left,\" \"quick zoom-in on the product label\").\n*   **Editing & Post-Production:** Identify editing techniques. Describe the pacing (e.g., \"fast-paced with quick cuts,\" \"long, uninterrupted take\"), transitions (e.g., \"hard cut,\" \"fade to black,\" \"dissolve\"), and any on-screen graphics, text overlays, or subtitles.\n\n**LAYER 4: TECHNICAL FILE ANALYSIS**\nBriefly describe the technical characteristics of the video file itself.\n*   **Video Quality:** Infer the resolution and clarity (e.g., \"High-definition 1080p,\" \"Standard-definition 480p,\" \"low-resolution, heavily compressed\").\n*   **Frame Rate:** Describe the motion smoothness (e.g., \"smooth 30/60fps,\" \"choppy/low frame rate\").\n*   **Audio-Visual Sync:** Confirm if the audio and video are properly synchronized.\n\n**LAYER 5: INFERENCE & SYNTHESIS**\nConclude with a holistic synthesis of all layers. What is the overall story, context, and purpose of this video?\n*   **Example (User Instruction):** \"This is a user-generated instructional video, recorded on a smartphone. The user is providing a multi-modal command by both showing a receipt and verbally asking the agent to process specific items from it. The intent is direct and task-oriented.\"\n*   **Example (Cooking Demo):** \"This is a segment from a well-edited cooking tutorial. The combination of close-up shots, clear vocal instructions, and background music is designed to be educational and engaging.\"\n*   **Example (Event Recording):** \"This is an amateur, handheld recording of a live music performance in a small, crowded venue, capturing both the performance and the audience's reaction.\"","modelId":{"__rl":true,"mode":"list","value":"models/gemini-2.5-flash","cachedResultName":"models/gemini-2.5-flash"},"options":{},"resource":"video","inputType":"binary","operation":"analyze"},"credentials":{"googlePalmApi":{"id":"Pr8hxThM4qMjHnbs","name":"Karen"}},"typeVersion":1},{"id":"6d3c8aed-82e3-4522-9788-91aa7389f160","name":"get_message (Video)","type":"n8n-nodes-base.set","position":[3888,2016],"parameters":{"options":{},"assignments":{"assignments":[{"id":"d8935452-fe20-469d-a68d-1aad056cb8dd","name":"data","type":"string","value":"=Media Message Transcription:{{ $json.candidates?.[0]?.content?.parts?.[0]?.text || $json.content?.parts?.[0]?.text }}"}]}},"typeVersion":3.4},{"id":"52ca5378-0bfa-439d-849e-ea7151930686","name":"get_message (Audio)","type":"n8n-nodes-base.set","position":[3888,1856],"parameters":{"options":{},"assignments":{"assignments":[{"id":"d8935452-fe20-469d-a68d-1aad056cb8dd","name":"data","type":"string","value":"=Media Message Transcription:{{ $json.candidates?.[0]?.content?.parts?.[0]?.text || $json.content?.parts?.[0]?.text }}"}]}},"typeVersion":3.4},{"id":"0912e7ec-818f-4ccf-b29e-4fb01bf70660","name":"get_message (Image)","type":"n8n-nodes-base.set","position":[3888,1696],"parameters":{"options":{},"assignments":{"assignments":[{"id":"d8935452-fe20-469d-a68d-1aad056cb8dd","name":"data","type":"string","value":"=Media description: {{ $json.content.parts[0].text }}"}]}},"typeVersion":3.4},{"id":"6a66a1b2-1eef-453e-ae79-ad1d806f6cd3","name":"Get Mime Type","type":"n8n-nodes-base.code","position":[3248,2720],"parameters":{"jsCode":"const results = [];\n\nfor (const item of $input.all()) {\n  // --- IMPORTANTE ---\n  // Asumimos que el MIME type está en esta ruta.\n  // ¡Verifica que 'item.json.data.mimetype' es correcto para tus datos!\n  // Podría ser 'item.json.mimetype' o similar.\n  const mimetype = $('Descargar Media').first().json.data.mimetype || '';\n\n  let fileTypeCategory = 'other'; // Valor por defecto para tipos no reconocidos\n\n  // Usamos switch(true) para evaluar diferentes condiciones basadas en el mimetype\n  switch (true) {\n    // === Imágenes ===\n    case mimetype.startsWith('image/'):\n      fileTypeCategory = 'image';\n      break;\n\n    // === Audio ===\n    // Incluye mp3 ('audio/mpeg'), ogg, wav, etc.\n    case mimetype.startsWith('audio/'):\n      fileTypeCategory = 'audio';\n      break;\n\n    // === Video ===\n    // Incluye mp4, webm, mov ('video/quicktime'), etc.\n    case mimetype.startsWith('video/'):\n      fileTypeCategory = 'video';\n      break;\n\n    // === Documentos de Texto y Ofimática ===\n    case mimetype === 'application/pdf':\n      fileTypeCategory = 'pdf';\n      break;\n    \n    // Spreadsheets (Excel, ODS, etc.)\n    case mimetype === 'application/vnd.ms-excel':\n    case mimetype === 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet':\n    case mimetype === 'application/vnd.oasis.opendocument.spreadsheet':\n      fileTypeCategory = 'spreadsheet';\n      break;\n\n    // Word Documents\n    case mimetype === 'application/msword':\n    case mimetype === 'application/vnd.openxmlformats-officedocument.wordprocessingml.document':\n      fileTypeCategory = 'document';\n      break;\n    \n    // Archivos de texto plano (txt, md, log)\n    case mimetype === 'text/plain':\n      fileTypeCategory = 'text';\n      break;\n\n    case mimetype === 'text/csv':\n      fileTypeCategory = 'csv';\n      break;\n\n    case mimetype === 'text/html':\n      fileTypeCategory = 'html';\n      break;\n    \n    case mimetype === 'application/rtf':\n      fileTypeCategory = 'rtf';\n      break;\n\n    // === Datos Estructurados ===\n    case mimetype === 'application/json':\n      fileTypeCategory = 'json';\n      break;\n\n    case mimetype === 'application/xml':\n    case mimetype === 'text/xml':\n      fileTypeCategory = 'xml';\n      break;\n\n    // === Otros ===\n    case mimetype === 'text/calendar': // para .ics\n      fileTypeCategory = 'ics';\n      break;\n  }\n\n  // Añadimos la nueva propiedad 'fileTypeCategory' al objeto json del item\n  item.json.fileTypeCategory = fileTypeCategory;\n  \n  // Añadimos el item modificado al array de resultados\n  results.push(item);\n}\n\n// Devolvemos el array con todos los items modificados\nreturn results;"},"typeVersion":2},{"id":"b45c9a72-3b1c-41b2-9caf-5ee10b5ebfcf","name":"Media Type","type":"n8n-nodes-base.switch","position":[3440,2528],"parameters":{"rules":{"values":[{"outputKey":"image","conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"1919febf-c06b-41d1-a02c-1082f2e444e4","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $json.fileTypeCategory }}","rightValue":"image"}]},"renameOutput":true},{"outputKey":"audio","conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"51250085-0cb5-4442-b711-d7ef71c3c927","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $json.fileTypeCategory }}","rightValue":"audio"}]},"renameOutput":true},{"outputKey":"video","conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"886256b8-5fa1-470a-a161-24a3d9d28285","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $json.fileTypeCategory }}","rightValue":"video"}]},"renameOutput":true},{"outputKey":"csv","conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"f1aefe24-17fb-4bf8-84fb-949a6802b66e","operator":{"type":"string","operation":"equals"},"leftValue":"={{ $json.fileTypeCategory }}","rightValue":"csv"}]},"renameOutput":true},{"outputKey":"html","conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"b09d29b5-b263-4115-963d-d6879de78649","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $json.fileTypeCategory }}","rightValue":"html"}]},"renameOutput":true},{"outputKey":"ics","conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"2a7822f4-889b-41d3-8a1c-7f4405eacb42","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $json.fileTypeCategory }}","rightValue":"ics"}]},"renameOutput":true},{"outputKey":"json","conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"f09cd376-96df-4f3d-9218-6a918715335a","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $json.fileTypeCategory }}","rightValue":"json"}]},"renameOutput":true},{"outputKey":"ods","conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"1bf5c1f9-38a9-4bc5-8757-b85f98441579","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $json.fileTypeCategory }}","rightValue":"ods"}]},"renameOutput":true},{"outputKey":"pdf","conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"4988d14f-4e3f-4494-96b0-a1a9d70a2787","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $json.fileTypeCategory }}","rightValue":"pdf"}]},"renameOutput":true},{"outputKey":"rtf","conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"f5bc921e-c083-4b12-8167-86a24e39fe5c","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $json.fileTypeCategory }}","rightValue":"rtf"}]},"renameOutput":true},{"outputKey":"text file","conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"29251fca-c611-419c-85a2-a9e1ad6bd102","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $json.fileTypeCategory }}","rightValue":"text file"}]},"renameOutput":true},{"outputKey":"xml","conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"fd1cbb91-f3c6-4b20-91dc-2e490f77fe96","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $json.fileTypeCategory }}","rightValue":"xml"}]},"renameOutput":true},{"outputKey":"spreadsheet","conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"16fc2a80-c341-4a5d-9d50-a1856ffb5242","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $json.fileTypeCategory }}","rightValue":"spreadsheet"}]},"renameOutput":true}]},"options":{"fallbackOutput":"extra"}},"typeVersion":3.2},{"id":"6ee06090-67f3-4514-8797-5bb62f136826","name":"Analyze Image","type":"@n8n/n8n-nodes-langchain.googleGemini","position":[3712,1696],"parameters":{"modelId":{"__rl":true,"mode":"list","value":"models/gemini-2.5-flash-lite","cachedResultName":"models/gemini-2.5-flash-lite"},"options":{},"resource":"image","inputType":"binary","operation":"analyze"},"credentials":{"googlePalmApi":{"id":"Pr8hxThM4qMjHnbs","name":"Karen"}},"typeVersion":1},{"id":"2178effc-f7d2-4a20-b0c5-499c89352877","name":"When clicking ‘Execute workflow’","type":"n8n-nodes-base.manualTrigger","position":[3360,-208],"parameters":{},"typeVersion":1},{"id":"6387dd8e-69ed-46a1-b391-3ef1b95a70e4","name":"Agent Response","type":"n8n-nodes-base.set","position":[9680,1504],"parameters":{"options":{},"assignments":{"assignments":[{"id":"0f4cdb2c-9407-4783-83c6-4440faa74f00","name":"reponse","type":"string","value":"={{ $json.output }}"}]}},"typeVersion":3.4},{"id":"46a48d70-bf20-47c8-b770-979e89eb34fa","name":"AI Agent","type":"@n8n/n8n-nodes-langchain.agent","position":[9376,1504],"parameters":{"text":"=# INPUTS\n<RETRIEVED_CONTEXT>\n{{ $json.text }}\n</RETRIEVED_CONTEXT>\n\n<USER_MESSAGE>\n{{ $('Get Message').item.json.message }}\n</USER_MESSAGE>","options":{"systemMessage":"=# ROLE\nYou are an intelligent Assistant capable of reasoning and answering complex queries.\n\n# INPUT DATA\nYou will receive two distinct inputs:\n1. <RETRIEVED_CONTEXT>: Factual background information provided by an internal memory system (NOT the user).\n2. <USER_MESSAGE>: The actual message sent by the user right now.\n\n# INSTRUCTIONS\n1. **Analyze User Intent:** Read <USER_MESSAGE> to understand what the user is asking or commenting on.\n2. **Consult Context:**\n   - If <RETRIEVED_CONTEXT> contains \"NO_CONTEXT\", ignore it completely and answer based on your general knowledge.\n   - If <RETRIEVED_CONTEXT> contains factual data (summaries, file contents, previous names), use this information as the absolute truth to construct your answer.\n3. **Synergy Check:** specifically look for extracted file data in the context. If the context says \"File name: X\" and \"Extracted data: Y\", treat \"Y\" as the content of the document the user is asking about.\n4. **Formulate Response:**\n   - Answer the <USER_MESSAGE> directly.\n   - **DETECT LANGUAGE:** Reply in the EXACT same language and tone as the <USER_MESSAGE>.\n   - Integrate the context naturally. Do NOT say \"According to the context...\" or \" The memory says...\". Just say the information as if you already knew it.\n\n# SAFETY & BEHAVIOR\n- If the Context contradicts the User Message regarding a fact (e.g., User says \"My name is X\" but Context proves \"Name is Y\"), politely correct or clarify based on the context.\n- Be helpful, concise, and professional.\n- Never reveal that you are receiving a context summary from another bot."},"promptType":"define"},"typeVersion":3.1},{"id":"eb0d0e55-1d6d-41a3-bffd-2c5e3d2d31f3","name":"Context Refiner","type":"@n8n/n8n-nodes-langchain.chainLlm","position":[8976,1504],"parameters":{"text":"=<Chat_History>\n{{ $json.history }}\n</Chat_History>\n\n<Current_User_Input>\n{{ $('Get Message').item.json.message }}\n</Current_User_Input>","batching":{},"messages":{"messageValues":[{"message":"=# SYSTEM ROLE\nYou are a \"Context Retrieval Processor\". You are a backend system, NOT a conversational assistant. You have NO personality.\n\n# INPUTS PROVIDED\n1. <CHAT_HISTORY>: Previous messages and structured file data (JSON, metadata, captions).\n2. <CURRENT_INPUT>: The latest message from the user.\n\n# CORE OBJECTIVE\nCompare the <CURRENT_INPUT> against the <CHAT_HISTORY>. Extract ONLY the factual information required to answer the current input.\n\n# PROCESSING RULES (Follow Strictly)\n\n1. **ANALYZE INTENT:** Read <CURRENT_INPUT>. Is the user asking a question, asking for a summary, or referencing a file?\n   - IF the input is just a greeting (e.g., \"Hola\", \"Hello\", \"Are you there?\") OR a generic compliment -> RETURN \"NO_CONTEXT\".\n   - IF the input requires information from the past -> PROCEED to Step 2.\n\n2. **DECODE STRUCTURED DATA:**\n   - Look for patterns like `File name:`, `Captions:`, and `Extracted data:`.\n   - **CRITICAL:** Connect the \"File name\" to its \"Extracted data\".\n   - *Example:* If history has \"File: invoice.pdf\" and \"Extracted: Total $50\", and user asks \"How much?\", you must extract: \"File invoice.pdf shows a total of $50\".\n\n3. **RESOLVE PRONOUNS:**\n   - If user asks \"What does **it** say?\" or \"Who is **he**?\", look in the <CHAT_HISTORY> to identify what \"it\" or \"he\" refers to. Extract that specific reference.\n\n4. **FILTERING:**\n   - Ignore polite conversation in history (e.g., \"Thank you\", \"Good morning\").\n   - Ignore metadata that is not requested (e.g., MIME types or raw variable names like `$json`) unless specifically asked for.\n\n# OUTPUT RULES\n- Output **ONLY** the facts.\n- Do NOT use conversational filler words (e.g., \"I found this...\", \"The context is...\").\n- Do NOT output markdown code blocks unless the extracted data is code.\n- If no relevant facts are found for the specific input -> RETURN \"NO_CONTEXT\".\n\n# FINAL RESPONSE\n(Output only the extracted facts or NO_CONTEXT)"}]},"promptType":"define"},"typeVersion":1.7},{"id":"47a4fe06-7a45-44fe-92bc-79cda433b549","name":"Push to chat_history","type":"n8n-nodes-base.redis","position":[8208,1680],"parameters":{"list":"=Chats_{{ $('Global Variables').item.json.number }}","tail":true,"operation":"push","messageData":"={{ $json.message_text.join('\\n') }}"},"credentials":{"redis":{"id":"Xzoiia7G1hwVmuT6","name":"Redis account"}},"typeVersion":1},{"id":"98c4bba6-775a-4d38-9c83-64b25bf83932","name":"Push first message to chat_history","type":"n8n-nodes-base.redis","position":[8208,1872],"parameters":{"list":"=Chats_{{ $('Global Variables').item.json.number }}","tail":true,"operation":"push","messageData":"=."},"credentials":{"redis":{"id":"Xzoiia7G1hwVmuT6","name":"Redis account"}},"typeVersion":1},{"id":"525f488e-5066-4c84-bd08-0959fdb3c33c","name":"Get chat_history1","type":"n8n-nodes-base.redis","position":[7184,1552],"parameters":{"key":"=Chats_{{  $('Global Variables').item.json.number }}","options":{},"operation":"get"},"credentials":{"redis":{"id":"Xzoiia7G1hwVmuT6","name":"Redis account"}},"typeVersion":1},{"id":"08497094-b7cd-4d03-8c0e-197360542870","name":"Push message chat_history (User And Agent)","type":"n8n-nodes-base.redis","position":[10032,1504],"parameters":{"list":"=Chats_{{ $('Global Variables').item.json.number }}","tail":true,"operation":"push","messageData":"=User: {{ $('Get Message').item.json.message }}\nAgent: {{ $('Agent Response').item.json.reponse }}"},"credentials":{"redis":{"id":"Xzoiia7G1hwVmuT6","name":"Redis account"}},"typeVersion":1},{"id":"92b3ffab-fb04-4575-855a-cb1ab75adb57","name":"Add Messages to chat_history (User And Agent)","type":"n8n-nodes-base.postgres","position":[10240,1504],"parameters":{"table":{"__rl":true,"mode":"list","value":"chat_history","cachedResultName":"chat_history"},"schema":{"__rl":true,"mode":"list","value":"public"},"columns":{"value":{"message_text":"=User: {{ $('Get Message').item.json.message }}\nAgent: {{ $('Agent Response').item.json.reponse }}","user_whatsapp_number":"={{ $('Global Variables').item.json.number }}"},"schema":[{"id":"message_id","type":"number","display":true,"removed":true,"required":false,"displayName":"message_id","defaultMatch":false,"canBeUsedToMatch":true},{"id":"user_whatsapp_number","type":"string","display":true,"required":true,"displayName":"user_whatsapp_number","defaultMatch":false,"canBeUsedToMatch":true},{"id":"message_text","type":"string","display":true,"required":true,"displayName":"message_text","defaultMatch":false,"canBeUsedToMatch":true},{"id":"message_timestamp","type":"dateTime","display":true,"removed":true,"required":false,"displayName":"message_timestamp","defaultMatch":false,"canBeUsedToMatch":true},{"id":"created_at","type":"dateTime","display":true,"removed":true,"required":false,"displayName":"created_at","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":[],"attemptToConvertTypes":false,"convertFieldsToString":false},"options":{}},"credentials":{"postgres":{"id":"0mSlrLCIVfCVe5zJ","name":"Postgres account"}},"typeVersion":2.6},{"id":"a23a94ca-0c81-48d5-bace-738af244c867","name":"When Executed by Another Workflow","type":"n8n-nodes-base.executeWorkflowTrigger","position":[3408,336],"parameters":{"workflowInputs":{"values":[{"name":"Name"},{"name":"Number"},{"name":"ID"}]}},"typeVersion":1.1},{"id":"6e538c6a-1865-4784-a565-dac1ab16545e","name":"Parallel Writing status","type":"n8n-nodes-base.executeWorkflow","onError":"continueRegularOutput","position":[3504,960],"parameters":{"mode":"each","options":{"waitForSubWorkflow":false},"workflowId":{"__rl":true,"mode":"list","value":"YRqVfB8oZ54SRjUC","cachedResultUrl":"/workflow/YRqVfB8oZ54SRjUC","cachedResultName":"Mentour AI copy"},"workflowInputs":{"value":{"ID":"={{ $('Webhook').item.json.body.data.key.id }}","Name":"={{ $('Webhook').item.json.body.instance }}","Number":"={{ $('Webhook').item.json.body.data.key.remoteJid }}"},"schema":[{"id":"Name","type":"string","display":true,"removed":false,"required":false,"displayName":"Name","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Number","type":"string","display":true,"removed":false,"required":false,"displayName":"Number","defaultMatch":false,"canBeUsedToMatch":true},{"id":"ID","type":"string","display":true,"removed":false,"required":false,"displayName":"ID","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":[],"attemptToConvertTypes":false,"convertFieldsToString":true}},"typeVersion":1.3},{"id":"444d3835-f5d1-43dd-a7d1-7b9a2ada6610","name":"Google Gemini Chat Model1","type":"@n8n/n8n-nodes-langchain.lmChatGoogleGemini","position":[9376,1696],"parameters":{"options":{},"modelName":"models/gemini-3-flash-preview"},"credentials":{"googlePalmApi":{"id":"Pr8hxThM4qMjHnbs","name":"Karen"}},"typeVersion":1},{"id":"eb8e098b-7c6b-4cde-bae9-fe4143122bb6","name":"Wait","type":"n8n-nodes-base.wait","position":[3648,512],"webhookId":"65187612-7e5b-4a76-8465-7bd694e3e172","parameters":{},"typeVersion":1.1},{"id":"1920d4a8-78c2-41f1-8179-a912b43d38b9","name":"chat_history in DataBase?","type":"n8n-nodes-base.if","position":[8000,1776],"parameters":{"options":{},"conditions":{"options":{"version":3,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"18946671-190b-43d9-a88f-810184127ed2","operator":{"type":"array","operation":"notEmpty","singleValue":true},"leftValue":"={{ $json.message_text }}","rightValue":""}]}},"typeVersion":2.3},{"id":"3f6f770b-3b44-4675-b538-33ae53d39597","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[3280,-336],"parameters":{"color":7,"width":512,"height":320,"content":"## 1. Database Setup\nCreates the `chat_history` table in PostgreSQL. Execute this node manually **once** before activating the workflow."},"typeVersion":1},{"id":"4b6f4dff-5454-407f-be33-4bd779f0b381","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[3280,32],"parameters":{"color":7,"width":832,"height":688,"content":"## 2. Parallel UX Handling\nManages user experience (Read receipts, 'Typing...' status) in parallel using a sub-workflow to avoid adding latency to the main AI processing logic."},"typeVersion":1},{"id":"bd72d726-84ed-4434-95b7-173b24c82ca0","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[3280,768],"parameters":{"color":7,"width":1440,"height":752,"content":"## 3. Webhook & Configuration\nReceives the Evolution API payload and defines global variables (Buffer wait time, Cache duration, History limit)."},"typeVersion":1},{"id":"9e9ea3aa-852a-432c-bc26-ee13552f8dab","name":"Sticky Note5","type":"n8n-nodes-base.stickyNote","position":[2896,1584],"parameters":{"color":7,"width":1840,"height":2400,"content":"## 4. Media Normalization\nDetects media types (Images, Audio, Documents) and downloads/converts them into a format compatible with the AI Agent."},"typeVersion":1},{"id":"3ddc5983-ec8a-496b-b21d-d02cac687e9b","name":"Sticky Note6","type":"n8n-nodes-base.stickyNote","position":[4928,1184],"parameters":{"color":7,"width":2080,"height":1072,"content":"## 5. Smart Input Buffering\nUses Redis to:\n1. Group **Album files** into a single input.\n2. Debounce **Text messages** (waits X seconds) to prevent fragmented AI responses."},"typeVersion":1},{"id":"4dc66b66-9a03-43a5-ad23-1dffd23659b8","name":"Sticky Note7","type":"n8n-nodes-base.stickyNote","position":[7120,1376],"parameters":{"color":7,"width":1600,"height":720,"content":"## 6. Hybrid Memory Retrieval\nOptimized fetch strategy: Checks Redis (fast cache) for recent history first. If empty, falls back to PostgreSQL (permanent storage)."},"typeVersion":1},{"id":"163ace07-b710-43fb-a754-c5ed15556a83","name":"Sticky Note8","type":"n8n-nodes-base.stickyNote","position":[8848,1360],"parameters":{"color":7,"width":1600,"height":608,"content":"## 7. Context Refinement & Generation\n1. **Refiner Agent:** Summarizes chat history to save tokens and reduce context rot.\n2. **Main Agent:** Generates the final response.\n3. **Sync:** Saves the interaction to both PostgreSQL and the Redis buffer."},"typeVersion":1},{"id":"fb24f4eb-c334-4aa1-b247-c8a72cf1d247","name":"Sticky Note9","type":"n8n-nodes-base.stickyNote","position":[10528,1360],"parameters":{"color":7,"width":1184,"height":640,"content":"## 8. Cache Lifecycle Manager\nKeeps the conversation active in Redis for a specific duration (e.g., 300s) after the last message to ensure high-speed retrieval."},"typeVersion":1},{"id":"52b4fc49-49bc-4fc3-a231-8377cd367344","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[3680,896],"parameters":{"color":3,"width":400,"height":464,"content":"## ⚠️ Core Configuration\nControl the buffering and memory logic here:\n\n*   **wait_buffer**: The debounce window (in seconds). The workflow waits this long for subsequent text messages to group them into a single AI prompt.\n*   **wait_conversation**: Redis TTL (in seconds). How long the active conversation stays in the \"Hot Cache\" after the last message.\n*   **max_chat_history**: The hard limit of past messages to fetch from PostgreSQL (Cold Storage) when the cache is empty."},"typeVersion":1},{"id":"99b522bd-49bf-4041-928c-91660c46c4cc","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[2800,-336],"parameters":{"width":388,"height":1070,"content":"## Advanced Evolution API Agent with Redis Buffering & Context Refinement\n\nThis production-ready template builds a high-performance WhatsApp chatbot using Evolution API. It solves common AI bot issues—latency, fragmented messages, and token costs—by implementing a hybrid memory architecture (Redis + PostgreSQL) and a multi-stage AI pipeline.\n\n### How it works\n1. **Parallel Ingestion:** The workflow triggers on new messages via Evolution API. A parallel branch immediately handles \"typing...\" status and read receipts to optimize perceived latency.\n2. **Intelligent Buffering:** Incoming messages are routed to Redis buffers. The system distinguishes between **Media Albums** (waiting for all files) and **Rapid Texts** (debouncing inputs for 5s) to consolidate user intent into a single prompt.\n3. **Hybrid Memory Retrieval:** Chat history is fetched from Redis (hot cache) for speed. If the cache expires, it falls back to PostgreSQL (persistent storage).\n4. **Context Optimization:** A fast \"Context Refiner\" model distills the chat history, passing only relevant context to the Main Agent. This prevents \"context rot\" and reduces token costs.\n5. **Execution & Sync:** The Main Agent generates the response. Finally, the conversation is saved to PostgreSQL and refreshed in the Redis cache.\n\n### Setup\n- [ ] **Install the Node:** Go to `Settings &gt; Community Nodes` in n8n and install `n8n-nodes-evolution-api`.\n- [ ] **Credentials:** Configure credentials for Redis, PostgreSQL, and your AI provider (e.g., OpenAI/Gemini).\n- [ ] **Database:** Execute the \"Create Table\" node once to initialize the `chat_history` table in PostgreSQL.\n- [ ] **Evolution API:** Set your `instanceName` and `apikey` in the Webhook node.\n- [ ] **Configuration:** Adjust parameters in the \"Global Variables\" node (Buffer Wait Time, Cache TTL, History Limit).\n- [ ] **Models:** Select a fast model for the Context Refiner and a capable model for the Main Agent."},"typeVersion":1},{"id":"252dc60c-71df-49ae-bbb0-ed561843872a","name":"Sticky Note15","type":"n8n-nodes-base.stickyNote","position":[4160,512],"parameters":{"color":2,"width":368,"height":208,"content":"## 💡 Need Assistance?\n\nIf you’d like help customizing or extending this workflow, feel free to reach out:  \n\n📧 Email: [johnsilva11031@gmail.com](mailto:johnsilva11031@gmail.com)  \n🔗 LinkedIn: [John Alejandro Silva Rodríguez](https://www.linkedin.com/in/john-alejandro-silva-rodriguez-48093526b/)"},"typeVersion":1}],"pinData":{"Webhook":[{"body":{"data":{"key":{"id":"A55E09C1326A8A08C11A6922E0313F3A","fromMe":false,"remoteJid":"573209174369@s.whatsapp.net","remoteJidAlt":"573209174369@s.whatsapp.net"},"source":"android","status":"DELIVERY_ACK","message":{"conversation":"hoka","messageContextInfo":{"messageSecret":{"0":178,"1":168,"2":247,"3":5,"4":202,"5":92,"6":201,"7":181,"8":198,"9":97,"10":73,"11":222,"12":207,"13":97,"14":114,"15":140,"16":162,"17":99,"18":169,"19":124,"20":71,"21":217,"22":103,"23":71,"24":209,"25":100,"26":40,"27":124,"28":184,"29":221,"30":232,"31":137},"deviceListMetadata":{"senderKeyHash":{"0":91,"1":194,"2":68,"3":237,"4":141,"5":206,"6":60,"7":101,"8":199,"9":45},"senderTimestamp":1770020339,"recipientKeyHash":{"0":21,"1":67,"2":24,"3":252,"4":254,"5":192,"6":71,"7":84,"8":133,"9":51},"senderKeyIndexes":[],"recipientTimestamp":1769672977,"recipientKeyIndexes":[]},"deviceListMetadataVersion":2}},"pushName":"Alejandro","instanceId":"af3e7d99-a42f-4729-b6b7-c4045cd43889","messageType":"conversation","messageTimestamp":1770957515},"event":"messages.upsert","apikey":"73F93794B632-426D-9513-479B9965C3CB","sender":"573123488826@s.whatsapp.net","instance":"Pruebas","date_time":"2026-02-13T01:38:35.287Z","server_url":"https://evolution.mentour.lat","destination":"https://n8n.mentour.lat/webhook/a/event"},"query":{},"params":{},"headers":{"host":"n8n.mentour.lat","accept":"application/json, 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