Quickstart

1. Create a customer key

Sign in to the Limitless console, open API keys, and select Create API key. Give the key a recognizable name and choose an expiry. Copy the secret before closing the dialog; it is shown only once. Add sandbox credits from Billing before sending inference requests. Select Add test credits and complete Stripe test checkout; no real payment is taken. Inference requests use real models and deduct sandbox credits. An unfunded workspace cannot make billable requests.

2. Set your environment

Provide these variables through your development environment or secret manager:

export LIMITLESS_BASE_URL="https://trylimitless.ai/v1"
export LIMITLESS_MODEL="abliterated-model-large-v2"
# Set LIMITLESS_API_KEY to the customer key you just created.

https://trylimitless.ai/v1 is the hosted API base URL. The documentation domain, docs.trylimitless.ai, serves these guides and does not accept inference requests.

Keep the /v1 suffix in the base URL. Use an ID returned by GET /v1/models; model availability may change.

3. Send a request

JavaScript
Python
cURL

Install the official SDK:

npm install openai

Save this as chat.mjs and run node chat.mjs:

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.LIMITLESS_API_KEY,
  baseURL: process.env.LIMITLESS_BASE_URL,
  maxRetries: 0,
});

const completion = await client.chat.completions.create({
  model: process.env.LIMITLESS_MODEL,
  messages: [{ role: "user", content: "Explain inference in one sentence." }],
  max_tokens: 512,
});

console.log(completion.choices[0]?.message.content);
console.log(completion.usage);
console.log("Request ID:", completion._request_id);

Install the official SDK:

pip install openai

Save this as chat.py and run python chat.py:

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["LIMITLESS_API_KEY"],
    base_url=os.environ["LIMITLESS_BASE_URL"],
    max_retries=0,
)

completion = client.chat.completions.create(
    model=os.environ["LIMITLESS_MODEL"],
    messages=[{"role": "user", "content": "Explain inference in one sentence."}],
    max_tokens=512,
)

print(completion.choices[0].message.content)
print(completion.usage)
print("Request ID:", completion._request_id)

This example uses the model ID abliterated-model-large-v2. Replace it if your model catalog differs.

curl --fail-with-body "$LIMITLESS_BASE_URL/chat/completions" \
  -H "Authorization: Bearer $LIMITLESS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "abliterated-model-large-v2",
    "messages": [{"role": "user", "content": "Explain inference in one sentence."}],
    "max_tokens": 512
  }'

The SDK package is OpenAI’s; the request goes to your configured Limitless URL and uses your Limitless key. An OpenAI account or OpenAI API key is not required for this request. The examples disable automatic retries so one explicit call produces at most one inference attempt. See errors and retries before adding retry logic.

4. Check Activity

Open Activity in the console. Your request should appear with source API, its model, status, latency, and provider-reported token counts. Match its request ID to the response’s X-Request-ID header. For a complete key lifecycle test, revoke this test key in API keys, then run GET /v1/models with it. The server should return 401. Create a new key for subsequent requests. Next: stream responses, call tools, or check limits.

Start here

Build

Administer

Operate

1. Create a customer key

2. Set your environment

3. Send a request

4. Check Activity

​1. Create a customer key

​2. Set your environment

​3. Send a request

​4. Check Activity

1. Create a customer key

2. Set your environment

3. Send a request

4. Check Activity