AI Chatbots
Build production-ready AI chatbots with Llama 3 — and pay only per conversation. No idle GPU, no reserved capacity, no minimum spend.
Why serverless for chatbots?
Bursty traffic handled automatically
Chat apps spike during business hours and go quiet at night. Serverless inference scales with your users — you never pay for capacity sitting idle at 3am.
Zero cold start wait time
Lexora keeps models warm across the network. Your users get responses in milliseconds, not after 30+ seconds waiting for a dedicated GPU to boot.
Pay per conversation
Each conversation costs only the tokens generated. A slow month costs almost nothing. A viral moment doesn't cause GPU provisioning panic.
OpenAI SDK drop-in
If you've already built with OpenAI, switching to Lexora is two lines: change the base URL and API key. All streaming, history, and prompting works identically.
What you can build
- Customer support chatbots with custom system prompts
- In-app AI assistants for SaaS products
- Conversational search interfaces
- Onboarding bots that guide users through your product
- FAQ bots that draw from your documentation
- Sales assistants that qualify leads
- Coding assistants for developer tools
Get started in minutes
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.lexora.network/v1",
apiKey: process.env.LEXORA_API_KEY,
});
const stream = await client.chat.completions.create({
model: "meta-llama/Llama-3.2-3B-Instruct",
messages: [
{ role: "system", content: "You are a helpful assistant." },
{ role: "user", content: userMessage },
],
stream: true,
});
for await (const chunk of stream) {
process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}What does it cost?
A typical chat conversation (20 messages, ~500 tokens each) costs about $0.00004 at Lexora's Llama 3.2 3B pricing. That's 10,000 full conversations for $0.40. Compare to OpenAI GPT-4o at roughly $0.015 per conversation — Lexora is 375× cheaper.