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Cache LLM calls to cut cost and latency v1.0.0

Use this resource to reduce the cost and latency of LLM calls with caching

New

  • 327 downloads
  • 158 likes
  • 171 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-caching-layers-cost

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent sets up a caching chain: exact match with Redis, semantic caching with GPTCache, and provider-side prompt caching for long system prompts. You get fewer redundant calls, with code examples for each layer.

Mostly picked by

Updated November 2, 2026

Card for the “Cache LLM calls to cut cost and latency” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md : three cache layers and their order
  • SKILL.md : Redis, GPTCache and prompt-cache examples

Good fit for

  • A FAQ assistant gets the same questions over and over
  • Your API costs grow faster than your traffic

Not for

    Tags

    • cache
    • llm
    • redis
    • cost

    About

    You say

    “Add a cache to our FAQ assistant to avoid repeated LLM calls.”

    Card for the “Cache LLM calls to cut cost and latency” skill

    Skill published by bagelhole under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to reduce the cost and latency of LLM calls with caching
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md10.5 KB

    Origin and licence

    Listed unmodified

    Author
    bagelhole
    Source
    github.com/bagelhole/devops-security-agent-skills/tree/0365f57a079b1332f95cf26e31dd2d5332a8399f/devops/ai/llm-caching
    Licence
    MIT

    Notice

    « llm-caching » (bagelhole, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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