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Cut LLM API costs with a routed pipeline v1.0.0

Use this resource to reduce LLM API spend or spread tasks across several model tiers

New

  • 525 downloads
  • 214 likes
  • 185 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-cost-routing-pipeline

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 designs a pipeline that sends simple tasks to cheaper models, tracks budget immutably, limits retries to transient errors and uses prompt caching. You get a composable architecture and explicit spend thresholds.

Mostly picked by

Updated November 2, 2026

Card for the “Cut LLM API costs with a routed pipeline” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: complexity routing, cost tracking and narrow retries
  • SKILL.md: prompt caching, pricing reference and anti-patterns

Good fit for

  • Your LLM API bill grows faster than your usage
  • You process batches of tasks with very uneven complexity

Not for

    Tags

    • llm
    • cost
    • routing
    • caching
    • budget

    About

    You say

    “My extraction pipeline costs 900 € a month: suggest model routing and a daily budget.”

    Card for the “Cut LLM API costs with a routed pipeline” skill

    Skill published by affaan-m 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 LLM API spend or spread tasks across several model tiers
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md5.9 KB

    Origin and licence

    Listed unmodified

    Author
    affaan-m
    Source
    github.com/affaan-m/ecc/tree/25278e7d7b6cf6e6a4e7a6c8e10f14ff22f0eb5b/skills/cost-aware-llm-pipeline
    Licence
    MIT

    Notice

    « cost-aware-llm-pipeline » (affaan-m, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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