Groq Cost Tuning

What it does

When your agent uses it

• Analyzing Groq billing
• Reducing API costs
• Implementing usage monitoring and budget alerts
• With phrases like groq cost

Example prompts

• “groq cost”
• “groq billing”
• “reduce groq costs”
• “/groq-cost-tuning”

Requirements

• Node.js
• A credential in GROQ_API_KEY
• Compatibility (from SKILL.md): Designed for Claude Code
• Pre-approved tools (allowed-tools): Read, Grep

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

1. 1Smart model routing — map each use case to the cheapest model that meets its quality bar (classification/extraction/summarization →…
2. 2Minimize tokens per request — trim verbose system prompts and cap max_tokens so a one-word answer never bills for a paragraph.
3. 3Batch to reduce overhead — fold many items into one request; 10-in-1 cuts per-request overhead and RPM pressure ~90%.
4. 4Cache deterministic requests — at temperature: 0, hash identical prompts into a cache for zero-cost, zero-latency repeat hits.
5. 5Usage tracking — log token counts and estimated cost per call to catch spend regressions before the invoice.
6. 6Spending limits in console — set a monthly cap, alerts at 50%/80%, and auto-pause in Groq Console > Billing.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Read
  • Grep

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • npm

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Links to these hosts (documentation or services it may open):

  • console.groq.com
  • groq.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • GROQ_API_KEY

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

• Compatibility

  Designed for Claude Code

  From compatibility in the SKILL.md frontmatter.

Context cost

Groq Cost Tuning loads about 1.3k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 453 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~82

When it runs · the whole SKILL.md, loaded when a task matches

~1.3k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~3.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 453 words, ~1,311 tokens.

name

groq-cost-tuning

description

Optimize Groq costs through model routing, token management, and usage monitoring. Use when analyzing Groq billing, reducing API costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "groq cost", "groq billing", "reduce groq costs", "groq pricing", "groq expensive", "groq budget".

allowed-tools

Read, Grep

compatibility

Designed for Claude Code

version

1.11.0

license

MIT

author

Jeremy Longshore <jeremy@intentsolutions.io>

tags

saas, groq, api, monitoring, cost-optimization

import Groq from "groq-sdk";
const groq = new Groq(); // reads GROQ_API_KEY

const ROUTING = {
  classification: "llama-3.1-8b-instant",   // ~$0.05/M
  reasoning:      "llama-3.3-70b-versatile", // ~$0.59/M
};
const getModel = (useCase: string) =>
  ROUTING[useCase] || "llama-3.1-8b-instant";
// Classification on 8B vs 70B = 12x savings

const labels = await batchClassify([
  "Loved it, five stars",
  "Broke on day one",
  "It was fine, nothing special",
]);
// -> ["positive", "negative", "neutral"]  (1 API call instead of 3)

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/.curated/groq-cost-tuning of jeremylongshore/tons-of-skills-marketplace.

• SKILL.md
• references/examples.md
• references/implementation.md

Open the folder on GitHubat commit cfae287