ORRANGE / Developer

AI Provider

Hamster is an LLM invoked through a single, swappable OpenAI-compatible seam. The API key is server-only.

Inference runs off-chain: the app calls an OpenAI-compatible /chat/completions endpoint from the server. It is not part of the Starknet transaction path and never signs anything.

The provider flow

UI (/treasury)
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POST /api/ai/analyze
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provider.ts (createDefaultProvider)
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OpenAI-compatible /chat/completions
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structured JSON proposal
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schema validation (validateProposal)
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deterministic policy verdict

Configuration

Variable	Purpose	Default
`AI_API_KEY`	Bearer token for the endpoint	server-only
`AI_BASE_URL`	Base URL of the endpoint	`https://api.openai.com/v1`
`AI_MODEL`	Model identifier	`gpt-4o-mini`

AI_API_KEY must never be exposed to the browser. It is read on the server in src/ai/provider.ts. Prefixing it with NEXT_PUBLIC_ would ship the key into the client bundle — never do that.

Compatible endpoints

The provider speaks the OpenAI chat-completions JSON format with strict JSON output (response_format.json_object). Any compatible service works — the implementation is not locked to one vendor:

OpenAI
OpenRouter / Together / Groq
A local llama.cpp / vLLM server
Any OpenAI-compatible gateway used for the demo

Example — point at OpenAI:

AI_BASE_URL=https://api.openai.com/v1
AI_MODEL=gpt-4o-mini

Example — any OpenAI-compatible gateway:

AI_BASE_URL=https://your-gateway.example/v1
AI_MODEL=your-model-id

Running without the AI

If no AI is configured, /treasury still works: portfolio, health, and the proactive diagnosis use the deterministic engine. Only the LLM-backed diagnosis and recommendation are unavailable.