Introduction to Tenzro Cloud

Tenzro Cloud is an AI-native cloud infrastructure platform that provides everything you need to build, deploy, and scale AI applications. From vector databases and key-value stores to LLM inference and agent orchestration, Tenzro Cloud offers a complete suite of services.

Key Features

Vec - Vector databases powered by Milvus for embeddings and similarity search
Kev - Key-value stores with Redis for caching, hashes, lists, and pub/sub
Data - Relational databases powered by PostgreSQL with full SQL support
Graph - Graph databases with Dgraph and ArangoDB for connected data
File - Object storage with buckets, signed URLs, and file management
AI - Unified API for Google Gemini, OpenAI, and Anthropic models
Agents - AI agent orchestration with tools, memory, and execution
MCP Servers - Deploy Model Context Protocol servers with data source connections
Workflows - Visual workflow builder with agent steps, conditions, and code execution
Enclaves - Confidential computing with AMD SEV-SNP attestation
Hub - Model repository with ONNX runtime for edge deployment

Quick Example

Here's a quick example using the TypeScript SDK:

example.ts

import { Tenzro } from '@tenzro/cloud';

const client = new Tenzro({
  apiKey: process.env.TENZRO_API_KEY!,
  projectId: 'your-project-id', // optional default project
});

// Simple AI Chat - just provide a prompt!
const response = await client.ai.chat('What is Tenzro Cloud?');
console.log(response);

// Vector Search with auto-generated embeddings
const vectors = await client.vec.db('knowledge-base');
const results = await vectors.query({
  text: 'How does machine learning work?',
  topK: 10,
});

// Key-Value Store
const store = await client.kev.store('sessions');
await store.set('user:123', { name: 'john', role: 'admin' });

Getting Started

The easiest way to get started is with our Quickstart Guide. You'll have your first AI application running in under 5 minutes.

Base URL

All API requests are made to:

https://api.cloud.tenzro.com

Authentication

All API requests require authentication via an API key. Include your key in theAuthorization header: