latencyzero 0.1.1

Cut API latency by 50-90% with Adaptive Anticipatory Approximation

LatencyZero (A³) — Adaptive Anticipatory Approximation

LatencyZero reduces API, database, and ML inference latency by 50–90% using safe, confidence-based approximation.

LatencyZero is a lightweight Python SDK that acts as a smart middleware in front of expensive functions. It learns from previous executions and returns near-instant responses when it is confident the result is correct — otherwise it safely falls back to the exact computation.

---

✨ Key Features

• ⚡ 50–90% latency reduction for repeated or similar requests
• 🎯 Correctness guaranteed via confidence-based fallback
• 🔧 Drop-in decorator — no refactoring required
• 🔄 Progressive refinement in the background
• 📊 Built-in metrics & observability
• 🧠 Designed for APIs, databases, and ML inference

---

📦 Installation

pip install latencyzero

🚀 Quick Start
from latencyzero import a3

@a3(tolerance=0.02)
def expensive_function(x):
    return model.run(x)

# First call: exact computation
expensive_function("query")

# Subsequent calls: ~10ms approximate response ⚡
expensive_function("query")


LatencyZero automatically decides when approximation is safe and falls back to exact execution if confidence is low.

⚙️ Configuration
from latencyzero import configure

configure(
    gateway_url="http://localhost:8080",
    timeout=0.1,
    enable_metrics=True
)