AI Dev Tool: Async Redis Streams Consumer Group Worker with Dead-Letter Queue

1. The Production Bottleneck

We engineered this zero-bloat Python 3.12+ / AsyncIO blueprint to enforce bounded concurrency, deterministic exponential backoff with jitter, strict schema validation at the ingestion boundary, and structured JSON telemetry—ready to drop into production without weeks of plumbing.

2. Request & Execution Architecture

3. Production Benchmarks

"""AI Dev Tool: Async Redis Streams Consumer Group Worker with Dead-Letter Queue

This module implements an asynchronous Redis streams consumer group worker with a dead-letter queue.
It utilizes bounded concurrency to prevent overwhelming the Redis instance and ensure efficient message processing.
The worker consumes messages from a specified Redis stream, processes them, and acknowledges or moves them to a dead-letter queue in case of failures.

To run this module, use the following CLI command:
    python -m ai_dev_tool --redis-host <host> --redis-port <port> --stream-name <name> --group-name <name> --consumer-name <name> --dead-letter-queue <name> --max-concurrency <num> --max-retries <num>

Example:
    python -m ai_dev_tool --redis-host localhost --redis-port 6379 --stream-name my_stream --group-name my_group --consumer-name my_consumer --dead-letter-queue my_dead_letter_queue --max-concurrency 10 --max-retries 5
"""

import asyncio
import dataclasses
import json
import logging
import random
import sys
from typing import Optional

import aioredis
from loguru import logger

@dataclasses.dataclass(frozen=True)
class Configuration:
    """Typed configuration for

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6. Frequently Asked Engineering Questions

7. Related Production Blueprints