Use an uncensored LLM with the OpenAI SDK

What does the code look like?

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://inference.dagon.so/v1",
  apiKey: process.env.DAGON_KEY,
});
const reply = await client.chat.completions.create({
  model: "abliterated-model-large-flash",
  messages: [{ role: "user", content: "Explain this stack trace." }],
});

For the Anthropic SDK, set the base URL to https://inference.dagon.so without /v1 and call Messages as usual. Any tool that accepts an OpenAI or Anthropic compatible endpoint works, including coding agents.

Which model ids can I use?

Use these exact ids; other names are rejected.

Prices are per 1M tokens in USD at the cheapest provider serving each model, with the 10% markup included (15% on private leases). A request that falls back to another provider is billed at that provider's rate plus the markup; its receipt names the provider. Pinned to price version 2026-11-02.2. Live: /v1/models, also as JSON and Markdown.

Does it support streaming and images?

Streaming is supported. Abliterated Large Flash and Abliterated Model accept image input; Abliterated Large v2, DeepSeek V4.1 Flash Abliterated and GLM-5.3 Flash Abliterated are text only. The default output cap is 16,384 tokens and the maximum is 65,536.

What happens if a request fails halfway?

If the upstream fails or is unreachable before it accepts the request, or reports an error before any output, the charge is zero. A zero receipt is still signed when the request was accepted. If usage is not reported or the stream is cut off, you pay an estimate: the estimated prompt plus the text streamed so far. That estimate can be higher than the real cost.

Common questions