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Integration guide

How to use Supabase Edge Functions with an OpenAI-compatible endpoint (JavaScript)

Supabase Edge Functions works with OpenAI-compatible APIs by switching the base URL and API key.

This guide shows a JavaScript example plus a test vector you can run to validate responses.

Quick start

Base URL
JavaScript request example
const payload = {
  model: "abliterated-model",
  messages: [{ role: "user", content: "Respond with: Supabase Edge Functions JavaScript ready." }],
  temperature: 0.2,
};

const response = await fetch("https://api.abliteration.ai/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.ABLIT_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify(payload),
});

if (!response.ok) throw new Error(await response.text());
const data = await response.json();
console.log(data.choices[0].message.content);

Free preview for 5 messages. Sign up to continue.

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.

Configure Supabase Edge Functions

Follow this checklist to point your integration at the OpenAI-compatible endpoint.

  • Add ABLIT_KEY to your function environment and keep requests on the server.
  • Set the base URL to https://api.abliteration.ai/v1.
  • Provide your abliteration.ai API key as a Bearer token (ABLIT_KEY).
  • Use model "abliterated-model" to match the provider naming.
  • Keep the messages schema unchanged (role/content).

OpenAI-compatible payload

Use this request body as a known-good payload before customizing parameters.

Chat completions payload
{
  "model": "abliterated-model",
  "messages": [
    { "role": "user", "content": "Respond with: Supabase Edge Functions JavaScript ready." }
  ],
  "temperature": 0.2
}

Streaming and tool calling readiness

If you stream responses or send tool definitions, keep the OpenAI-compatible schema and validate against the OpenAPI spec.

  • Set stream: true to receive chunks as they arrive.
  • Parse SSE data lines and ignore keep-alives.
  • Validate tool schemas before sending production traffic.

Mini playground

Response will appear here.
Expected output should include Supabase Edge Functions JavaScript ready.

Test vector

Expected output should include Supabase Edge Functions JavaScript ready.

Request payload
{
  "model": "abliterated-model",
  "messages": [
    {
      "role": "user",
      "content": "Respond with: Supabase Edge Functions JavaScript ready."
    }
  ],
  "temperature": 0.2,
  "stream": false
}

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

  • OpenAI compatibility guide
  • Instant migration tool
  • Compatibility matrix
  • Streaming chat completions
  • See API Pricing
  • View Uncensored Models
  • Rate limits
  • Privacy policy
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