Data ProcessingPro — €97
Message Buffer System with Redis and GPT-4 for Efficient Processing
85/100
30 NodesBeschreibung
Automate djeknet_n8n-master-workflows_Message_Buffer_System_with_Redis_and_GPT-4_for_Efficient_Processing
Setup-Anleitung
### 📥 Input Buffer
1. **Save incoming message**
* Push the new message into Redis list `buffer_in:{{context_id}}`.
2. **Update metadata**
* Set `last_seen:{{context_id}}` to the current timestamp (with a TTL of `waitSeconds + 60`).
* INCR the counter key `buffer_count:{{context_id}}` (also expiring after `waitSeconds + 60`).
3. **Check “waiting” flag**
* GET `waiting_reply:{{context_id}}`.
* If it’s null (no batch in flight), SET it to `true` with TTL `waitSeconds` to block concurrent triggers.Benötigte Integrationen (7)
If
if
Chat Trigger
chatTrigger
Redis
redis
Execute Workflow Trigger
executeWorkflowTrigger
Lm Chat Open Ai
lmChatOpenAi
Wait
wait
Information Extractor
informationExtractor
Workflow freischalten
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