Technology Apr 18, 2026 · 2 min read

Jibun Corp's AI Hub Reaches 35 Providers: Adding SiliconFlow and Novita AI

Jibun Corp's AI Hub Reaches 35 Providers: Adding SiliconFlow and Novita AI We just crossed 35 providers in our unified AI Hub feature. Today we're adding two more OpenAI-compatible inference platforms: SiliconFlow and Novita AI. Why SiliconFlow? SiliconFlow (硅基流动) is China...

DE
DEV Community
by kanta13jp1
Jibun Corp's AI Hub Reaches 35 Providers: Adding SiliconFlow and Novita AI

Jibun Corp's AI Hub Reaches 35 Providers: Adding SiliconFlow and Novita AI

We just crossed 35 providers in our unified AI Hub feature. Today we're adding two more OpenAI-compatible inference platforms: SiliconFlow and Novita AI.

Why SiliconFlow?

SiliconFlow (硅基流动) is China's largest AI inference platform, supporting 100+ open-source models via an OpenAI-compatible API. Two reasons we picked it:

  1. Free tier is genuinely useful — Qwen2.5-7B is available completely free, making it perfect for development and testing
  2. Access to China-specific models — Qwen2.5-72B and DeepSeek-V3 at competitive prices, with strong Chinese language performance
siliconflow: {
  displayName: "SiliconFlow",
  envKey: "SILICONFLOW_API_KEY",
  chatUrl: "https://api.siliconflow.cn/v1/chat/completions",
  defaultModel: "Qwen/Qwen2.5-72B-Instruct",
  buildBody: OPENAI_COMPAT_BODY,
  parseResponse: OPENAI_COMPAT_PARSE,
},

Why Novita AI?

Novita AI is a global inference platform with 100+ models and a pure pay-as-you-go credit system. The key differentiator:

  • Llama-3.1-70B at $0.23/1M tokens (input and output) — extremely competitive
  • No subscriptions, credits never expire
  • Image generation (FLUX, SDXL) alongside text models in one API
novita_ai: {
  displayName: "Novita AI",
  envKey: "NOVITA_API_KEY",
  chatUrl: "https://api.novita.ai/v3/openai/chat/completions",
  defaultModel: "meta-llama/llama-3.1-70b-instruct",
  buildBody: OPENAI_COMPAT_BODY,
  parseResponse: OPENAI_COMPAT_PARSE,
},

The OpenAI-Compat Pattern

All 35 providers in our hub share the same handler pattern. Once the infrastructure exists, adding a new provider is just a config block:

const OPENAI_COMPAT_BODY = (prompt: string, model: string) => ({
  model,
  messages: [{ role: "user", content: prompt }],
  max_tokens: 512,
  temperature: 0.7,
});

const OPENAI_COMPAT_PARSE = (data: unknown) => {
  // ... standard OpenAI response parsing
};

This is the power of the OpenAI API standard becoming the industry default — every new provider that adopts it is automatically compatible with our hub.

AI University Content

Both providers got full AI University content:

  • Overview: Company background, strengths, use cases
  • Models: Pricing table, context windows, specializations
  • API: Quick-start code, rate limits, Jibun Corp integration guide

The AI University feature now covers 86 AI providers, letting users learn about the entire AI landscape in one place.

Provider Growth Trajectory

PS#108: 14 → 20 providers
PS#109: 20 → 23 providers
PS#110: 23 → 25 providers
PS#111: 25 → 27 providers
PS#113: 27 → 29 providers
PS#115: 29 → 31 providers
PS#116: 31 → 33 providers
Daily Dev: 33 → 35 providers  ← today

What's Next

Phase 10 candidates:

  • Naver HyperCLOVA X — Korean API, needs endpoint verification
  • Databricks — enterprise model serving, workspace URL required
  • Hyperbolic — GPU cloud with OpenAI-compat inference API

Building in public at my-web-app-b67f4.web.app

FlutterWeb #Supabase #buildinpublic #AI #OpenAI

DE
Source

This article was originally published by DEV Community and written by kanta13jp1.

Read original article on DEV Community
Back to Discover

Reading List