OpenAI: Gpt Realtime

stable

Gpt Realtime is available through Everstack's OpenAI-compatible gateway with routing, fallback, retries, and observability.

gpt-realtimeother

Provider Quick start

Context

128K

tokens

Max output

tokens

Input

per 1M

Output

per 1M

Activity

Daily period usage

Aggregated managed Everstack traffic. Buckets below 5 tenants or 100 requests are withheld.

Providers

ProviderContextInput /MOutput /M

OpenAI

128K--

Pricing

No pricing data available.

Performance

Reliability

Compare

Compare usage and performance

Place this model beside up to three other catalog models.

Capabilities

Modalities

Input

Output

Details

Model ID: gpt-realtime
Family: other
Status: stable
Knowledge: -
Released: -

Gateway Config

API: 2024-01-01
Auth: OPENAI_API_KEY
Discovery: static
Provider type: static

Quick Start

index.ts

import Everstack from "@everstack/node";const client = new Everstack({  apiKey: process.env.EVERSTACK_API_KEY!,  baseUrl: "https://{instance}.{region}.everstack.ai",});const completion = await client.chat.completions.create({  model: "@openai/gpt-realtime",  messages: [{ role: "user", content: "Explain vector cache routing." }],});console.log(completion.choices[0]?.message?.content);

Endpoint

Base URL

https://api.openai.com/v1

Chat completions

https://api.openai.com/v1/chat/completions

Model

gpt-realtime

Auth env

OPENAI_API_KEY

Gpt Realtime FAQ

What is the context window of Gpt Realtime?

Gpt Realtime accepts up to 128K tokens of context on OpenAI.

What can Gpt Realtime do?

Gpt Realtime supports chat and function calling. It accepts text input.

How do I call Gpt Realtime through Everstack?

Point any OpenAI-compatible SDK at your Everstack gateway and set the model to @openai/gpt-realtime. Everstack adds retries, provider fallback, caching, per-tenant budgets and OpenTelemetry traces for every request.