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Cut latency & cost with memo-cache for repeated prompts | AI Hub

AI Hub

Cut latency & cost with memo-cache for repeated prompts

Cache deterministic prompts for 24 hours using Redis, reducing provider calls.

Cache metrics
Hit rate vs latency

Overview

Cache deterministic prompts for 24 hours using Redis, reducing provider calls.

Problem

Teams pay repeatedly for identical prompts (playbooks, templates, boilerplate).

Solution

AI Hub’s Redis memo-cache returns prior results instantly when the request and model match.

How it works

Configure REDIS_HOST and related env vars; watch usage drop on repeated requests. Cache hits still log safely without provider spend.

Who is this for

Ops Developers Finance

Expected outcomes

  • Lower per-request costs
  • Faster responses for templated tasks

Key metrics

Cache hit rate

Baseline

0 %

Target

60 %

Avg response time

Baseline

1200 ms

Target

200 ms

Gallery

Cache metrics
Hit rate vs latency

Case studies

Docs team accelerates template generation

Memo-cache saved ~35% of token spend on repeated prompts.

SaaS SMB EU

Security impact

  • Deterministic prompt/response blobs in cache · PII: none

Compliance

  • SOC2 (secrets & access controls)

Availability & next steps

Free Pro Enterprise