---
title: Simple Chat Prompt API
slug: simple-chat
url: https://apyhub.com/dosvak/service/simple-chat
provider: Dosvak LLC
categories: [Artificial Intelligence, Smart Generation]
tags: [llm, chat-completion, text-generation, prompt-engineering, natural-language-processing]
auth: api_key
---

# Simple Chat Prompt API

Send a prompt with optional model, max_tokens, temperature, and system_prompt. Get back the model reply, usage, and raw completion data.

## Endpoints

| Method | Path | Description | Atoms |
| --- | --- | --- | --- |
| GET | `` | What it does Lists the available chat models and returns them in a JSON object. Response Returns a… | 10 |
| POST | `` | What it does Sends a prompt to the chat service and returns a JSON object containing the generated… | 100 |

## About

## What it does
Simple Chat sends a prompt to an LLM and returns the model’s reply along with token usage. It is designed for straightforward text generation, lightweight assistants, and quick prompt experiments.

Send a `prompt` in the request body. You can also set `model`, `max_tokens`, `temperature`, and `system_prompt` to control the response, with sensible defaults provided for each. The endpoint accepts a `x-rapidapi-proxy-secret` header and returns a response object that includes `id`, `model`, `usage`, and `content`. The `raw` field exposes the underlying model response, including `choices` and usage details.

Use Simple Chat when you need to generate short answers, draft copy, summarize text, or power a basic conversational feature without building a full chat orchestration layer. Because the schema is minimal, it is easy to wire into internal tools, prototypes, and production workflows where you only need one prompt in and one completion back.

## Usage

Authenticate with an ApyHub API key in the `apy-token` header.
Full docs and a live playground: https://apyhub.com/dosvak/service/simple-chat