AI
Cencori SDK
Last updated April 17, 2026
The official Cencori SDK for Node.js and TypeScript. Simple, type-safe API for chat, images, embeddings, memory, and more.
Installation
npm install cencoriInitialization
import { Cencori } from 'cencori';
const cencori = new Cencori({
apiKey: 'csk_...',
});Chat Completions
const response = await cencori.ai.chat({
model: 'gpt-4o',
messages: [
{ role: 'system', content: 'You are a helpful assistant.' },
{ role: 'user', content: 'Hello!' },
],
});
console.log(response.content);
console.log(response.usage); // { promptTokens, completionTokens, totalTokens }Streaming
const stream = cencori.ai.chatStream({
model: 'claude-opus-4',
messages: [{ role: 'user', content: 'Tell me a story' }],
});
for await (const chunk of stream) {
process.stdout.write(chunk.delta);
}Image Generation
const response = await cencori.ai.generateImage({
prompt: 'A futuristic city at sunset',
model: 'gpt-image-1.5',
size: '1024x1024',
quality: 'hd',
});
console.log(response.images[0].url);Embeddings
const response = await cencori.ai.embeddings({
model: 'text-embedding-3-small',
input: 'Hello world',
});
console.log(response.embeddings[0]);Memory (Context Store)
await cencori.memory.store({
namespace: 'docs',
content: 'Refund policy allows returns within 30 days',
metadata: { category: 'policy' },
});
const results = await cencori.memory.search({
namespace: 'docs',
query: 'what is our refund policy?',
limit: 5,
});
const response = await cencori.ai.rag({
model: 'gpt-4o',
messages: [{ role: 'user', content: 'Refund policy?' }],
namespace: 'docs',
});Available Methods
| Method | Description |
|---|---|
cencori.ai.chat() | Chat completions |
cencori.ai.chatStream() | Streaming chat |
cencori.ai.generateImage() | Image generation |
cencori.ai.embeddings() | Vector embeddings |
cencori.ai.rag() | RAG with memory search |
cencori.memory.store() | Store memory |
cencori.memory.search() | Semantic search |
cencori.telemetry.reportWebRequest() | Report web traffic to dashboard |