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Create a minimal working Groq chat completion example.
Passed 21 of 23 test cases with the skill, and 19 of 23 without it.
3 fixed18 passed either way1 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
Before attempting to run a hello-world chat completion script with Groq, what setup and authentication skill should have already been executed according to the workflow documentation?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies groq-install-auth as the prerequisite skill | Missed | Passed |
The instructions your model reads when the skill loads.
Build a minimal chat completion with Groq's LPU inference API. Groq uses an OpenAI-compatible endpoint, so the API shape is familiar -- but responses arrive 10-50x faster than GPU-based providers. This skill gets you from an installed SDK to a working, verified request; deeper variants (streaming, Python, model selection) live in references/.
groq-sdk installed (npm install groq-sdk)GROQ_API_KEY environment variable setgroq-install-auth setupUse Write to create the example file, then run it to confirm your key and SDK work. Start with the single basic request below; reach for the reference variants only once this succeeds.
import Groq from "groq-sdk";
const groq = new Groq();
async function main() {
const completion = await groq.chat.completions.create({
model: "llama-3.3-70b-versatile",
messages: [
{ role: "system", content: "You are a helpful assistant." },
{ role: "user", content: "What is Groq's LPU and why is it fast?" },
],
});
console.log(completion.choices[0].message.content);
console.log(`Tokens: ${completion.usage?.total_tokens}`);
}
main().catch(console.error);
test cases passed, vs 19 / 23 without
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