Smart message buffering for an AI chat

The scenario buffers a user's consecutive messages in Redis, waits for a pause and passes them to the AI helper together, so the reply addresses a finished thought.

  • A reply to the whole thought
  • Consecutive messages gathered together
  • The bot doesn't jump at every line
  • A more natural conversation
RedisRedis Chat Memory

How it works

To create Redis Chat Memory records from Redis without manual input, use a ready-made scenario.

  1. Starts when: chat
  2. Then: store
  3. Then: count
  4. Check: check_first_message
  5. If yes: timestamp
  6. Then: wait
  7. Then: get_timestamp
  8. Check: check_delay
  9. If yes: extract
  10. Then: get_message
  11. Then: set_message
  12. Check: check_queue_is_empty
  13. If yes: AI Agent
  14. Then: OpenAI Chat Model
  15. Then: redis_chat_memory

You can launch this Redis + Redis Chat Memory integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.