# Chat message consolidation in Redis buffer with OpenAI processing for coherent responses
This workflow solves the problem of frequent, fragmented AI calls by aggregating user messages into a single context. It reduces model load and improves response quality—ideal for high-traffic chat systems using stateful automation with n8n and Redis.
## Who it´s for
- Chatbot owners aiming to optimize AI call frequency
- Support teams using messaging platforms with message aggregation needs
- Automation developers working with state management and buffering
- Teams using n8n and Redis for dialogue context tracking
## What the automation does
- Receives incoming chat messages via `chat_message` trigger
- Buffers messages in Redis per `context_id` (e.g., user ID)
- Waits for either inactivity timeout or message count threshold
- On trigger, initiates buffer consolidation
- Processes aggregated context using a LangChain agent with OpenAI
- Generates a structured, unified response
- Uses Redis locking mechanism to prevent duplicate processing
## What´s included
- Ready-to-use n8n workflow with LangChain and Redis support
- Trigger logic: `chat_message`, `execute_workflow_trigger`, `manual_test_trigger`
- Integrations with OpenAI, Redis, and HTTP API for chat systems
- Basic text guide for deployment and adaptation
## Requirements for setup
- n8n instance with workflow execution access
- Redis server (self-hosted or cloud)
- OpenAI API key
- Chat system capable of sending messages via HTTP webhook (e.g., WhatsApp, Telegram, internal chat)
## Benefits and outcomes
- Reduced AI call volume through batch processing
- Improved response coherence via full-context analysis
- Prevention of duplicate processing using Redis locks
- Resource and cost savings in high-volume user interactions
- Scalability across multiple concurrent conversations
- Compatibility with any chat platform via HTTP API
## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via chat
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