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docs: Add announcement drafts for HN, Reddit, and Vercel community
- ANNOUNCEMENT_vercel.md - Vercel community forum post - ANNOUNCEMENT_reddit_ml.md - Reddit r/MachineLearning post - ANNOUNCEMENT_vc社区.md - Vercel community Chinese post
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‎articles/ANNOUNCEMENT_reddit_ml.md‎

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# Built a Vercel AI SDK provider that cuts LLM costs by 60%+ — automatically routes to cheapest capable model
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Hey r/MachineLearning — wanted to share a side project that's been saving me serious money.
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## The Problem
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Every AI feature I built defaulted to GPT-4o because "it's the best." My monthly bill hit $800 for a side project. The breakdown was brutal:
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- "Summarize this article" → GPT-4o @ $0.03/query
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- "What is React?" → Claude Opus @ $0.015/query
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- "Write a Python script" → GPT-4o @ $0.05/query
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These should cost $0.0002. Not $0.03.
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## The Solution
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Built `a3m-vercel-ai` — a drop-in Vercel AI SDK provider that routes to the cheapest capable model automatically.
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```typescript
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import { createA3MProvider } from 'a3m-vercel-ai';
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import { generateText } from 'ai';
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const a3m = createA3mProvider({ parallelEnsemble: true });
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// 'auto' routes to cheapest capable — no model selection needed
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const result = await generateText({
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model: a3m('auto'),
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prompt: 'Explain quantum computing'
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});
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```
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## How Routing Works
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The router analyzes each request and classifies it:
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| Query Type | Example | Routed To | Cost |
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|-----------|---------|-----------|------:|
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| Simple Q&A | "What is 2+2?" | Groq | $0 |
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| Code gen | "Write a sorting function" | DeepSeek Coder | $0.001 |
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| Complex analysis | "Analyze this legal contract" | Claude 3.5 | $0.01 |
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| Creative | "Write a poem" | GPT-4o | $0.03 |
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## Real Numbers
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After 3 months on my production app:
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| Month | Setup | Cost | Savings |
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|-------|-------|-----:|--------:|
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| January | GPT-4o only | $847 | — |
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| February | Mixed manual | $612 | 28% |
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| March | a3m-vercel-ai | $298 | **65%** |
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Same quality outputs. No prompt rewrites.
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## The Technical Details
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- **5-signal classifier**: Domain, task type, query structure, verb intensity, specificity
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- **0.3ms routing latency**: No GPU, no ML model, just keyword analysis
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- **Parallel ensemble**: Runs 3 providers, confidence-weighted voting
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- **Circuit breakers**: Auto-skips degraded providers
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## Caveats
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- Your prompts must be somewhat consistent for the classifier to learn
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- First-time routing is heuristic; it improves with usage patterns
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- Complex multi-step agents may not benefit as much
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## Try It
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```bash
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npm install a3m-vercel-ai ai
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```
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GitHub: [https://github.com/Das-rebel/a3m-router](https://github.com/Das-rebel/a3m-router)
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Questions welcome — happy to share what I learned about routing algorithms.

‎articles/ANNOUNCEMENT_vc社区.md‎

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# [Package] a3m-vercel-ai — Drop-in Vercel AI SDK provider with automatic cost-based routing
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Hey Vercel AI community 👋
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Built a provider package for the Vercel AI SDK that handles automatic model selection based on cost and capability.
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## Why I Built This
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I was building a SaaS with heavy AI features. My LLM costs hit $800/month on a side project. Most queries were simple — "summarize this", "list the features", "what is X" — but I was using GPT-4o for everything because it was already configured.
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Switching models manually wasn't scalable. So I built automatic routing.
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## The Package
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**`a3m-vercel-ai`** — a Vercel AI SDK provider that:
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- Routes to cheapest capable model automatically (no manual selection)
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- Runs parallel ensemble (3 providers, picks best)
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- Tracks per-request costs
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- Handles streaming and tools
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```typescript
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import { createA3MProvider } from 'a3m-vercel-ai';
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import { streamText } from 'ai';
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const a3m = createA3MProvider({
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parallelEnsemble: true,
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baseURL: process.env.A3M_ROUTER_URL
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});
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export async function POST(req: Request) {
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const { messages } = await req.json();
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const result = await streamText({
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model: a3m('auto'), // ← automatic routing
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messages
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});
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return result.toDataStreamResponse();
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}
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```
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## Setup
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1. Install: `npm install a3m-vercel-ai ai`
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2. Start A3M Router: `npm install -g adaptive-memory-multi-model-router && a3m-router serve`
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3. Configure providers in `.env.local`
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## What It Routes To
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| Query | Routed To | Why |
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|-------|-----------|-----|
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| "What is 2+2?" | Groq | Free, fast, accurate |
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| "Write a Python script" | DeepSeek Coder | Code-specialized |
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| "Summarize this 50-page doc" | Claude 3.5 Sonnet | Long context |
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| "Design a system architecture" | GPT-4o | Complex reasoning |
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## Documentation
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Full docs with Next.js App Router examples, streaming setup, and configuration options:
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- GitHub: [https://github.com/Das-rebel/a3m-router/tree/main/packages/a3m-vercel-ai](https://github.com/Das-rebel/a3m-router/tree/main/packages/a3m-vercel-ai)
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- npm: [https://www.npmjs.com/package/a3m-vercel-ai](https://www.npmjs.com/package/a3m-vercel-ai)
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## Feedback Wanted
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This is v0.1 — looking for feedback on:
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- Routing accuracy for edge cases
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- Latency overhead acceptable?
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- Missing features for production use?
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Happy to answer questions.

‎articles/ANNOUNCEMENT_vercel.md‎

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# Show HN: I built an a3m-vercel-ai provider for Vercel AI SDK — drops your AI costs by 60%+ automatically
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**TL;DR:** Built a Vercel AI SDK provider that routes to the cheapest capable model automatically. 5 lines of code to cut your AI bill in half.
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```typescript
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import { createA3MProvider } from 'a3m-vercel-ai';
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import { generateText } from 'ai';
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const a3m = createA3MProvider({ parallelEnsemble: true });
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// Instead of specifying gpt-4o, just use 'auto'
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const result = await generateText({
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model: a3m('auto'), // ← automatically routes to cheapest capable
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prompt: 'Summarize this article...'
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});
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```
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---
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## The Problem
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Every Next.js developer building AI features faces the same trap:
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```
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"Should I use GPT-4o for everything? That's $0.03/query."
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"But maybe Claude for some tasks? No wait, the prompt format is different."
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"What if I need to switch providers later?"
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```
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So they either:
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- Pay for GPT-4o on every query (expensive)
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- Build custom routing logic (time-consuming)
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- Use one provider and hope it scales (risky)
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## The Solution
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`a3m-vercel-ai` is a drop-in Vercel AI SDK provider that:
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1. **Analyzes each request** — Detects domain (code vs text vs math), task type, complexity
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2. **Routes to optimal provider** — Simple queries → Groq (free), code → DeepSeek, complex → Claude/GPT-4o
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3. **Parallel ensemble** — Runs 3 providers simultaneously, picks the best result
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## Real Cost Numbers
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| Setup | 100K requests/month | Annual |
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|-------|--------------------:|-------:|
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| GPT-4o only | $3,000 | $36,000 |
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| Claude only | $2,500 | $30,000 |
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| **a3m-vercel-ai** | **$800** | **$9,600** |
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Same quality. 73% less.
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## How It Works
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```typescript
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// 5 lines to replace your entire AI infrastructure
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const a3m = createA3MProvider({
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parallelEnsemble: true, // Run 3 providers, pick best
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providers: {
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openai: { apiKey: process.env.OPENAI_API_KEY },
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anthropic: { apiKey: process.env.ANTHROPIC_API_KEY },
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groq: { apiKey: process.env.GROQ_API_KEY }, // Free tier
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}
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});
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// Works with streaming too
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const result = await streamText({
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model: a3m('auto'),
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prompt: 'Write a detailed report on...'
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});
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return result.toDataStreamResponse(); // Just works with Next.js App Router
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```
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## Get Started
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```bash
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npm install a3m-vercel-ai ai
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```
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Full docs: [https://github.com/Das-rebel/a3m-router/tree/main/packages/a3m-vercel-ai](https://github.com/Das-rebel/a3m-router/tree/main/packages/a3m-vercel-ai)
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---
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**P.S.** The router itself is MIT licensed and runs entirely on your infrastructure. No data leaves your server.

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