We just shipped Cencori SDK v1.0.2 with full AI SDK feature parity. One API, multiple providers, complete security and logging.

What's New

Image Generation — GPT Image 1.5, DALL-E, Gemini, Imagen
Image Input — Vision/multimodal analysis
Tool Usage — Function calling with streaming
Structured Output — Type-safe JSON generation

Image Generation

Generate images using the best models from OpenAI and Google:

Codetext

import { Cencori } from 'cencori';
 
const cencori = new Cencori({ apiKey: process.env.CENCORI_API_KEY });
 
// OpenAI GPT Image 1.5 - Best text rendering
const logo = await cencori.ai.generateImage({
  model: 'gpt-image-1.5',
  prompt: 'A minimalist logo for a startup called Cencori',
  size: '1024x1024'
});
 
// Google Gemini - Fast photorealism  
const photo = await cencori.ai.generateImage({
  model: 'gemini-3-pro-image',
  prompt: 'Modern office space with natural lighting'
});
 
console.log(logo.images[0].url);

Supported Models

OpenAI — gpt-image-1.5, dall-e-3, dall-e-2 (text rendering, creative)

Google — gemini-3-pro-image, imagen-3 (photorealism, speed)

Image Input (Vision)

Analyze images using multimodal models:

Codetext

const analysis = await cencori.ai.chat({
  model: 'gpt-4o',
  messages: [{
    role: 'user',
    content: [
      { type: 'text', text: 'What is in this image?' },
      { type: 'image_url', image_url: { url: 'https://example.com/photo.jpg' } }
    ]
  }]
});

Tool Usage (Function Calling)

Let AI models call your functions:

Codetext

const response = await cencori.ai.chat({
  model: 'gpt-4o',
  messages: [{ role: 'user', content: 'What is the weather in Tokyo?' }],
  tools: [{
    type: 'function',
    function: {
      name: 'get_weather',
      description: 'Get current weather',
      parameters: {
        type: 'object',
        properties: { city: { type: 'string' } },
        required: ['city']
      }
    }
  }]
});
 
if (response.toolCalls) {
  const { name, arguments: args } = response.toolCalls[0].function;
  // Execute function and continue conversation
}

Tool Streaming

Stream tool calls in real-time:

Codetext

for await (const chunk of cencori.ai.chatStream({ model: 'gpt-4o', ... })) {
  if (chunk.toolCalls) {
    console.log('Tool call:', chunk.toolCalls);
  }
  if (chunk.finish_reason === 'tool_calls') {
    // Execute tools
  }
}

Structured Output

Generate type-safe JSON with schema validation:

Codetext

interface UserProfile {
  name: string;
  age: number;
  interests: string[];
}
 
const result = await cencori.ai.generateObject<UserProfile>({
  model: 'gpt-4o',
  prompt: 'Generate a sample user profile',
  schema: {
    type: 'object',
    properties: {
      name: { type: 'string' },
      age: { type: 'number' },
      interests: { type: 'array', items: { type: 'string' } }
    },
    required: ['name', 'age', 'interests']
  }
});
 
console.log(result.object); 
// { name: 'Alice', age: 28, interests: ['coding', 'music'] }

Why Cencori?

Every request through the SDK is automatically:

Logged with full request/response audit trail
Rate limited per project and organization
BYOK enabled - use your own API keys
Security monitored with PII detection and custom rules
Multi-provider - switch models without code changes

Get Started

Codetext

npm install cencori@1.0.2

Codetext

import { Cencori } from 'cencori';
 
const cencori = new Cencori({
  apiKey: process.env.CENCORI_API_KEY,
});

View on npm · Documentation