# YouTube Tutorial Script: A3M Router - Smart LLM Routing

## Video Title Options
1. "Cut Your OpenAI Bill by 70% with Intelligent LLM Routing"
2. "A3M Router: The Smart Way to Use Multiple LLM Providers"
3. "Stop Overpaying for LLMs - Automatic Cost Optimization"
4. "Build a Learned LLM Router in 10 Minutes"

## Video Info
- **Target Length**: 10-12 minutes
- **Target Audience**: Node.js developers using LLMs
- **Difficulty**: Beginner to Intermediate

---

## Intro (0:00 - 1:00)

**[Screen: Terminal with high OpenAI bill]**

"If you're using OpenAI for everything, you're probably overpaying. In this video, I'll show you how we cut our LLM API costs by 70% using intelligent routing."

**[Screen: A3M Router logo/banner]**

"This is A3M Router - an adaptive multi-model router that automatically sends your queries to the cheapest capable provider. Let's dive in."

---

## The Problem (1:00 - 2:30)

**[Screen: Code showing GPT-4 usage]**

"Here's what most developers do. They use GPT-4 for EVERYTHING."

```javascript
// Bad: Using GPT-4 for everything
const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });

// Simple question
await openai.chat.completions.create({
  model: "gpt-4",
  messages: [{ role: "user", content: "What is 2+2?" }]
});
// Cost: $0.03

// Code generation
await openai.chat.completions.create({
  model: "gpt-4",
  messages: [{ role: "user", content: "Write Python to sort an array" }]
});
// Cost: $0.05
```

**[Screen: Calculator showing monthly cost]**

"If you process 1,000 queries per day, that's $30-50 per day. $900-1,500 per month. Just for simple queries that any model could handle."

---

## The Solution (2:30 - 4:00)

**[Screen: A3M Router architecture diagram]**

"A3M Router solves this with learned routing. It analyzes your query and picks the optimal provider."

"Here's the magic:"

```javascript
// Good: Using A3M Router
const { createA3MRouter } = require('adaptive-memory-multi-model-router');

const router = createA3MRouter();

// Simple question → cheapest provider (FREE)
const result1 = await router.route("What is 2+2?");
console.log(result1.primary_model); // "commandcode/taste-1"
console.log(result1.estimated_cost);  // $0.00

// Code generation → fast provider
const result2 = await router.route("Write Python to sort an array");
console.log(result2.primary_model); // "groq/llama-3.3-70b"
console.log(result2.estimated_cost);  // $0.0004
```

**[Screen: Side-by-side cost comparison]**

"See the difference? Simple queries go to free providers. Code queries go to fast, code-capable models. You only pay for what you need."

---

## Installation & Setup (4:00 - 5:30)

**[Screen: Terminal recording]**

"Let's install it and see it in action."

```bash
# Install
npm install adaptive-memory-multi-model-router

# Check providers
npx a3m-router providers
```

**[Screen: Provider table output]**

"Look at that - 9 providers configured out of the box. Groq, Cerebras, Mistral, and free CLI providers like CommandCode and OpenCode."

"Now let's route a query:"

```bash
npx a3m-router route "Write Python to reverse a string"
```

**[Screen: Routing result]**

"Boom! It automatically selected Groq's Llama model because it's fast and good at code. Estimated cost: $0.0004. That's 75x cheaper than GPT-4."

---

## How Routing Works (5:30 - 7:00)

**[Screen: Routing algorithm visualization]**

"Here's how the routing actually works:"

"Step 1: Feature Extraction"
- Detects code patterns (function, class, import)
- Detects math notation
- Detects language/translation needs
- Estimates complexity

"Step 2: Model Profiles"
- Each provider has cost, latency, quality scores
- Groq: fast, cheap, good at code
- Mistral: high quality, moderate cost
- CommandCode: free, good for simple queries

"Step 3: Smart Selection"
- Simple queries → prioritize cost
- Complex queries → prioritize quality
- Automatic fallback if provider fails

**[Screen: Code showing routing result]**

```javascript
const result = await router.route("Your query");

console.log(result);
// {
//   primary_model: "groq/llama-3.3-70b",
//   fallback_models: ["mistral/medium", "cerebras/llama"],
//   estimated_cost: 0.0004,
//   confidence: 0.85,
//   reasoning: "Selected Groq for code detected"
// }
```

---

## Real Results (7:00 - 8:30)

**[Screen: Benchmark table]**

"Let's run the benchmark to see real performance:"

```bash
npx a3m-router benchmark
```

**[Screen: Benchmark output]**

"Look at these results:"

| Provider | Latency | Cost/1K | Quality |
|----------|---------|---------|---------|
| Groq | 400ms | $0.59 | 82% |
| Cerebras | 350ms | $0.60 | 82% |
| Mistral | 800ms | $0.20 | 90% |
| CommandCode | 5s | FREE | 75% |

"For simple queries, CommandCode is FREE. For code, Groq is 5x faster than OpenAI. For quality, Mistral beats GPT-3.5 at half the price."

---

## Advanced Features (8:30 - 9:30)

**[Screen: Code examples]**

"A3M Router has more tricks up its sleeve:"

"Batch Processing:"
```javascript
const queries = ["Q1", "Q2", "Q3"];
const results = routeBatch(queries, { same_model: true });
```

"Cost Tracking:"
```javascript
const router = createA3MRouter();
const summary = router.costTracker.getSummary();
console.log(`Total spent: $${summary.totalSpent}`);
```

"Custom Providers:"
```javascript
registerProvider('my-provider', {
  baseUrl: 'https://api.myprovider.com',
  models: ['my-model'],
  type: 'api'
});
```

---

## Conclusion (9:30 - 10:30)

**[Screen: Summary slide]**

"To summarize:"

"✅ Install: npm install adaptive-memory-multi-model-router"
"✅ Route: npx a3m-router route 'Your query'"
"✅ Save: 50-80% on API costs"
"✅ Get: Automatic fallback, cost tracking, batch processing"

**[Screen: GitHub and NPM links]**

"Links in the description:
- GitHub: github.com/Das-rebel/adaptive-memory-multi-model-router
- NPM: npmjs.com/package/adaptive-memory-multi-model-router
- Docs: Full documentation on GitHub"

**[Screen: Subscribe button]**

"If this helped you save money on LLM APIs, hit like and subscribe. Questions? Drop them in the comments. Thanks for watching!"

---

## Video Assets Needed

1. **Thumbnail**: Split screen - "$2,400" vs "$720" with A3M Router logo
2. **Intro Animation**: 5-second logo animation
3. **Terminal Recording**: Actual CLI usage
4. **Diagram**: Routing architecture (can use ASCII art)
5. **Benchmark Table**: Animated comparison
6. **Outro Screen**: Links and subscribe button

## B-Roll Footage

- Terminal typing (can use asciinema)
- Code scrolling
- Provider logos (Groq, Mistral, etc.)
- Money/cost graphics
- Speedometer for latency

## Call to Action

- Like the video
- Subscribe for more
- Comment with questions
- Star on GitHub
- Try the package
