Jibun Corp's AI Hub Hits 31 Providers: Adding Replicate and Coze
Background
Building in public: I've been expanding the AI Hub Edge Function in my "Jibun Corp" life management app. Phase 7 adds Replicate (model hosting platform) and Coze (ByteDance's AI agent platform), bringing the total to 31 providers.
What's New
Replicate
-
Endpoint:
https://openai-compat.replicate.com/v1/chat/completions -
Default model:
meta/llama-4-scout-instruct - Why: Thousands of open-source models, now accessible via a single OpenAI-compat endpoint
Coze (ByteDance)
-
Endpoint:
https://api.coze.com/v1/chat/completions - Why: ByteDance's AI agent platform growing fast in Japan and Asia
The 7-Line Pattern
Every new provider is just 7 lines:
replicate: {
displayName: "Replicate",
envKey: "REPLICATE_API_TOKEN",
chatUrl: "https://openai-compat.replicate.com/v1/chat/completions",
defaultModel: "meta/llama-4-scout-instruct",
buildBody: OPENAI_COMPAT_BODY,
parseResponse: OPENAI_COMPAT_PARSE,
},
OPENAI_COMPAT_BODY builds the standard request. OPENAI_COMPAT_PARSE extracts choices[0].message.content. Zero custom code needed for OpenAI-compat providers.
Provider Count Progress
| Phase | Count | Added |
|---|---|---|
| Phase 1 | 14 | Major LLMs |
| Phase 5 | 23 | Specialized + infra |
| Phase 6 | 29 | Meta Llama API, Nebius |
| Phase 7 | 31 | Replicate, Coze |
Takeaway
The OpenAI-compat pattern makes scaling to 31 providers trivial. Each new provider adds ~7 lines, no custom auth code, no custom parsing.
Building in public: https://my-web-app-b67f4.web.app/
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