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Vercel AI SDK integration

The Vercel AI SDK supports OpenAI-compatible providers via @ai-sdk/openai-compatible.

Create a provider with the abliteration.ai base URL and use it in your generateText or streamText calls.

Quick start

Example request
import { createOpenAICompatible } from "@ai-sdk/openai-compatible";
import { generateText } from "ai";

const ablit = createOpenAICompatible({
  baseURL: "https://api.abliteration.ai/v1",
  apiKey: process.env.ABLIT_KEY,
  name: "abliteration",
});

const { text } = await generateText({
  model: ablit.chatModel("abliterated-model"),
  prompt: "Write one sentence about Stonehenge.",
});

console.log(text);

Service notes

  • Pricing model: Usage-based pricing (~$5 per 1M tokens) billed on total tokens (input + output). See the API pricing page for current plans.
  • Data retention: No prompt/output retention by default. Operational telemetry (token counts, timestamps, error codes) is retained for billing and reliability.
  • Compatibility: OpenAI-style /v1/chat/completions request and response format with a base URL switch.
  • Latency: Depends on model size, prompt length, and load. Streaming reduces time-to-first-token.
  • Throughput: Team plans include priority throughput. Actual throughput varies with demand.
  • Rate limits: Limits vary by plan and load. Handle 429s with backoff and respect any Retry-After header.

Common errors & fixes

  • 401 Unauthorized: Check that your API key is set and sent as a Bearer token.
  • 404 Not Found: Make sure the base URL ends with /v1 and you call /chat/completions.
  • 400 Bad Request: Verify the model id and that messages are an array of { role, content } objects.
  • 429 Rate limit: Back off and retry. Use the Retry-After header for pacing.

Related links