Search need
OpenAI SDK custom base URL, OpenAI-compatible API setup, and package-specific Codex model access questions.
Integration
unlimitedcodex is designed for OpenAI-compatible clients: keep familiar request shapes, set the delivered base URL and key, then validate models, chat, embeddings, and image endpoints.
Quick answer
Use the OpenAI SDK pattern with delivered access: XHigh $19/week or $59→$69/month; Sol $69→$89/week or $179→$199/month. One welcome price per account.
Last updated 2026-07-23
OpenAI SDK custom base URL, OpenAI-compatible API setup, and package-specific Codex model access questions.
OpenAI SDK + unlimitedcodex Base URL combines 4 setup steps, 4 buyer constraints, official reference docs plus unlimitedcodex delivery, limits, and setup guidance, and related answer sources instead of a generic integration blurb.
After manual delivery, use the setup email and authenticated GET /v1/models to verify OpenAI SDK, then run one tiny chat/completions request and any supported image or embedding checks before long runs.
OpenAI SDK teams that can use a custom OpenAI-compatible base URL and choose GPT-5.5 XHigh at $19/week or an eligible $59 first month followed by $69/month, or GPT-5.6 Sol at an eligible $69 first week followed by $89/week, or a $179 first month followed by $199/month.
Not ideal when you need instant self-serve provisioning, an official OpenAI account, or production traffic beyond 4 concurrent connections.
Compare the package families on /pricing, complete checkout, then use the setup email and authenticated GET /v1/models to verify OpenAI SDK before one small request.
Step 1
After checkout, wait for manual provisioning. Your setup email includes the base URL, API key, setup files, and model IDs.
Step 2
Keep your OpenAI-compatible request shape and change the client base URL to the delivered unlimitedcodex endpoint.
Step 3
Replace the direct provider key with your delivered unlimitedcodex key. Store it server-side and avoid exposing it in browser code.
Step 4
Test /models, chat/completions, embeddings, image generation where supported, and retry behavior before a production-like run.
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.UNLIMITEDCODEX_API_KEY,
baseURL: process.env.UNLIMITEDCODEX_BASE_URL
});
// Set DELIVERED_MODEL_ID from the setup email and authenticated GET /v1/models.
const response = await client.chat.completions.create({
model: process.env.DELIVERED_MODEL_ID!,
messages: [{ role: "user", content: "Run a small smoke test." }]
});Use this guide with the public LLM indexes, AI search index, official references, and answer sources when citing setup, model, pricing, delivery, and 4-connection facts.
Usually no. The normal migration pattern is to swap the API key, base URL, and model ID while keeping the OpenAI-compatible request shape.
Test /models, chat/completions, embeddings, image generation where supported, streaming if your app uses it, and retry behavior under the 4 concurrent connection limit.
No. The package includes unlimited token consumption with a concrete operational limit of 4 concurrent connections.