Client SDK
Build custom chat UIs in React, Vue, or vanilla JavaScript with real-time streaming.
Divinci AI SDK
Build powerful AI integrations with our official TypeScript SDKs
Choose Your SDK
Section titled “Choose Your SDK”Server SDK
Manage workspaces, releases, and RAG documents from your Node.js backend.
MCP SDK
Integrate with Claude Desktop, Cursor, and other MCP-compatible AI assistants.
Embed Script
Drop a fully-rendered chat widget onto any page with one <script> tag — no bundler required.
CLI
Manage workspaces, chat with AI, search knowledge bases, and control releases from your terminal.
TypeScript First
Full TypeScript support with auto-generated types from our OpenAPI spec.
Quick Example
Section titled “Quick Example”import { DivinciClient } from "@divinci-ai/client";
const client = new DivinciClient({ releaseId: "rel_abc123", apiKey: "divinci_key_...",});
// Open a thread, then stream a response token-by-tokenconst thread = await client.chat.create();
await client.chat.stream(thread.id, "Tell me about AI", { assistantName: "your-assistant-id", // the release's assistant/model id onChunk: (text) => process.stdout.write(text), onComplete: (message) => console.log("\n\nDone:", message.id),});Example projects
Section titled “Example projects”- Divinci-AI/drfuhrman-ai-landing — a production marketing site with a gated, anonymous AI chat, built on Cloudflare Workers (Astro static frontend + a Worker that proxies to a Divinci Release). Walk through the pattern in Deploy to Cloudflare Workers.