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groq-sdk-patterns【开发与工程】Apply production-ready Groq SDK patterns for TypeScript and Python. Use when implementing Groq integrations, refactoring SDK usage, or establishing team coding standards for Groq. Trigger with phrases like "groq SDK patterns", "groq best practices", "groq code patterns", "idiomatic groq".
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name: groq-sdk-patterns description: 'Apply production-ready Groq SDK patterns for TypeScript and Python.
Use when implementing Groq integrations, refactoring SDK usage,
or establishing team coding standards for Groq.
Trigger with phrases like "groq SDK patterns", "groq best practices",
"groq code patterns", "idiomatic groq".
' allowed-tools: Read, Write, Edit version: 1.11.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:
Production patterns for the groq-sdk package. The Groq SDK mirrors the OpenAI SDK interface (chat.completions.create), so patterns feel familiar but must account for Groq-specific behavior: extreme speed (500+ tok/s), aggressive rate limits on free tier, and unique response metadata like queue_time and completion_time.
The full, copy-paste-ready implementations live in references/ so this file stays a fast map of the workflow. Read the summary here, then drill into the language file you need.
groq-sdk (TypeScript) or groq (Python) installedGROQ_API_KEY set in the environmentBuild the integration in layers. Each step below is a one-line summary; the full typed implementation is in references/typescript-patterns.md (steps 1–5, 7) and references/python-patterns.md (step 6).
Groq client with maxRetries and timeout, so the whole app reuses one connection pool and config.queue_time, completion_time, total_time) and a computed tokensPerSec.AsyncGenerator<string> that yields delta.content tokens.Groq.APIError (429, 401, other) and Groq.APIConnectionError; rethrow the unknown.retry-after header on 429s, else jittered backoff.Groq(), AsyncGroq(), and streaming (see the Python reference).The essential skeleton — a shared singleton every other pattern builds on:
// src/groq/client.ts
import Groq from "groq-sdk";
let _client: Groq | null = null;
export function getGroq(): Groq {
if (!_client) {
_client = new Groq({
apiKey: process.env.GROQ_API_KEY,
maxRetries: 3,
timeout: 30_000,
});
}
return _client;
}
Groq differs from OpenAI in a few details (package name, base URL, extra usage timing fields, error class names). The full comparison and error-handling matrix are in references/sdk-differences.md.
Applying these patterns produces:
getGroq() client module and, for multi-tenant apps, a getClientForTenant() factory.complete() wrapper returning a typed CompletionResult — content, model, tokens (prompt/completion/total), and timing (queueMs, totalMs, tokensPerSec).safeComplete() variant returning { data, error } so callers never face an uncaught exception.| Pattern | Use Case | Benefit |
|---|---|---|
safeComplete wrapper | All API calls | Prevents uncaught exceptions |
withRetry | Rate-limited calls | Respects retry-after header |
| Typed error checking | instanceof Groq.APIError | Handles each status code specifically |
| Client singleton | App-wide usage | Single connection pool, consistent config |
err.headers["retry-after"] and wait that long before retrying; free tier hits this often.APIConnectionError: network issue reaching api.groq.com; retry or fail fast per context.Full typed handlers: references/typescript-patterns.md (Step 4 and Step 5).
Non-streaming completion with timing metadata (full code in references/typescript-patterns.md, Step 2):
const result = await complete(
[{ role: "user", content: "Summarize Groq's speed advantage." }],
"llama-3.3-70b-versatile"
);
console.log(result.content);
console.log(`${result.timing.tokensPerSec.toFixed(0)} tok/s`);
Streaming tokens to stdout (full code in the TS reference, Step 3):
for await (const token of streamCompletion([{ role: "user", content: "Hello" }])) {
process.stdout.write(token);
}
Python one-liner (full sync/async/streaming in references/python-patterns.md):
from groq import Groq
client = Groq()
print(client.chat.completions.create(
model="llama-3.3-70b-versatile",
messages=[{"role": "user", "content": "Hello"}],
).choices[0].message.content)
Apply these patterns in groq-core-workflow-a for real-world chat completions, then wire safeComplete and withRetry into every call site so rate limits and network errors are handled consistently across the codebase.