Package Exports
- groq-cascade
- groq-cascade/dist/index.js
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Readme
groq-cascade
A resilient multi-model fallback chain for the Groq API. When one model fails, it tries the next. Users always get a response.
Built from production infrastructure at zambo.dev, powering 17 AI products since 2026.
The problem
AI apps that call a single model break in production:
- Rate limits hit at peak hours
- Models go offline during maintenance
- Context windows exceeded on edge cases
- Empty responses returned silently
Most engineers handle this with a try/catch that shows users an error. This is worse.
The solution
A cascade that tries 6 models in order. If model 1 fails for any reason, it falls to model 2. Down the chain until something works. If everything fails, you can define a hardcoded fallback so users still get something.
llama-3.3-70b-versatile ← try first (best quality)
↓ fails
llama-3.1-8b-instant ← fast, high availability
↓ fails
llama-4-scout-17b ← Meta's latest
↓ fails
gemma2-9b-it ← Google, different infra
↓ fails
qwen-qwq-32b ← Alibaba, different limits
↓ fails
mixtral-8x7b-32768 ← Mistral, long context
↓ fails
"your hardcoded fallback" ← always worksInstall
npm install groq-cascade
# or
pnpm add groq-cascadeUsage
Basic
import { groqCascade } from "groq-cascade";
const result = await groqCascade({
apiKey: process.env.GROQ_API_KEY,
system: "You are a helpful assistant.",
user: "Summarize this document in 3 bullet points.",
fallback: "I'm having trouble right now. Please try again in a moment.",
});
console.log(result.text); // the response
console.log(result.model); // which model answered
console.log(result.attempts); // how many models were triedJSON responses
import { groqCascadeJson } from "groq-cascade";
const { data, model } = await groqCascadeJson<{ score: number; reason: string }>({
apiKey: process.env.GROQ_API_KEY,
system: "Return only valid JSON.",
user: "Score this idea from 0-100 and explain why: autonomous drone delivery",
});
console.log(data.score, data.reason);Custom model list
import { groqCascade } from "groq-cascade";
const result = await groqCascade({
apiKey: process.env.GROQ_API_KEY,
user: "Quick question: what's 2+2?",
models: ["llama-3.1-8b-instant", "gemma2-9b-it"], // just use fast models
maxTokens: 64,
temperature: 0,
fallback: "4",
});Log failures (monitoring)
const result = await groqCascade({
apiKey: process.env.GROQ_API_KEY,
user: "...",
onModelFailure: (model, error) => {
console.warn(`[cascade] ${model} failed:`, error);
// send to Datadog, Sentry, etc.
},
});API
groqCascade(options) → Promise<CascadeResult>
| Option | Type | Default | Description |
|---|---|---|---|
apiKey |
string |
required | Groq API key |
user |
string |
required | User message |
system |
string |
— | System prompt |
messages |
CascadeMessage[] |
— | Full messages array (overrides system + user) |
models |
string[] |
6-model default | Models to try in order |
maxTokens |
number |
1024 |
Max tokens per attempt |
temperature |
number |
0.4 |
Sampling temperature |
minLength |
number |
40 |
Min response chars before treating as failure |
timeoutMs |
number |
12000 |
Per-model timeout in ms |
fallback |
string |
— | Returned if all models fail (instead of throwing) |
onModelFailure |
fn(model, err) |
— | Called on each failure |
groqCascadeJson<T>(options) → Promise<{ data: T, model: string, attempts: number }>
Same options. Automatically strips markdown code fences and parses JSON. Throws if no valid JSON found.
License
MIT
Built by Brennan Zambo · @zambodotdev