Tools/DevPulse AI Gateway
Sponsor DevPulse
Sub-20ms Multi-Provider LLM Caching Layer

DevPulse AI Gateway & Semantic Cache

Compare raw direct LLM provider API latencies vs DevPulse's edge caching gateway. Reduce response times from 1,500ms down to 16ms and slash OpenAI/Anthropic/Gemini token bills by up to 98%.

Select Production Query Simulation:
Uncached Legacy Call

OpenAI GPT-4o Direct API

Direct Origin
Response Latency
1480 ms
Per-Request Cost
$0.0420
Pipeline Trace:
➜ DNS Resolution & TLS Handshake: 140ms
➜ Model Queue & Token Inference: 1300ms
➜ HTTP Egress Transfer: 40ms
DevPulse Semantic Gateway

Edge Caching + Semantic Router

99.1% (L1 Edge Vector Hit)
Response Latency
16 ms
Per-Request Cost
$0.00010
⚡ 92.5x Faster Response Time
💰 100% Token Cost Reduction
✓ Cached Semantic Response: Deployed across AWS us-east-1 and eu-central-1 using Aurora Serverless v2 with Read Replicas and Cloudflare Hyperdrive connection pooling.
Zero-Config Drop-in Integration

Connect DevPulse in 2 Lines of Code

// 1. Initialize OpenAI / Anthropic client with DevPulse Gateway
import OpenAI from "openai";

const openai = new OpenAI({
  apiKey: process.env.DEVPULSE_API_KEY,
  baseURL: "https://gateway.hpedit.com/v1", // Automatic Edge Semantic Cache + Fallback Routing
  defaultHeaders: {
    "X-DevPulse-Cache-TTL": "86400", // 24-hour smart vector cache
    "X-DevPulse-Fallback-Provider": "gemini-2.0-flash",
  }
});

// 2. Query as usual — DevPulse handles sub-20ms edge cache hits automatically
const completion = await openai.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: "Architect sub-100ms multi-region database topology for Next.js 15" }],
});

console.log(completion.choices[0].message.content);
Compatible with OpenAI, Anthropic, Gemini, DeepSeek, and Local Ollama
Deploy DevPulse in Your Stack