Principle:Groq Groq python Batch Input Preparation

Knowledge Sources	Groq API Docs
Domains	Batch_Processing, Data_Preparation
Last Updated	2026-02-15 16:00 GMT

Overview

The process of constructing a JSONL-formatted input file containing multiple API requests for batch processing.

Description

Batch Input Preparation involves creating a JSON Lines (JSONL) file where each line is a self-contained JSON object representing a single API request. Each request includes a custom_id for tracking, the HTTP method, the API endpoint url, and the request body containing model and messages.

The JSONL format enables:

• Bulk processing: Hundreds or thousands of requests in a single batch job
• Request tracking: Each request has a unique custom_id for correlating results
• File size limits: Up to 100 MB per batch input file

Usage

Use this principle when you need to process many chat completion requests asynchronously. Prepare the JSONL file locally before uploading.

Theoretical Basis

# Abstract JSONL construction
import json
requests = []
for item in data:
    requests.append({
        "custom_id": f"request-{item.id}",
        "method": "POST",
        "url": "/v1/chat/completions",
        "body": {"model": model, "messages": item.messages}
    })
with open("batch_input.jsonl", "w") as f:
    for req in requests:
        f.write(json.dumps(req) + "\n")

Related Pages

Implemented By

• Implementation:Groq_Groq_python_JSONL_Construction