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AI Chat API

AI Dialogue service supporting a wide range of large language models for chat, multi-turn conversations, streaming responses, and image recognition.

Platform API Docs

API home page: Ace Data Cloud - AI Chat

Keywords: aichat-api, ai-dialogue, chat-api, multi-turn-conversation, gpt-4, grok, streaming, rest-api, ai-api, developer-tools, AI API, REST API, Developer API, Ace Data Cloud

Why Use AI Chat on Ace Data Cloud

  • Unified developer platform with one API key, billing system, and usage tracking
  • Production-ready AI API endpoints served from https://api.acedata.cloud
  • English integration guides, API references, and service documentation
  • Global-ready workflow for developers building chat, image, video, music, and search products

Overview

The AI Chat Conversations API enables you to send a question to a large language model and receive an answer. It supports a broad range of models (GPT-4, GPT-4o, Grok, GLM, Kimi, and more), multi-turn stateful conversations, streaming responses, model presets, and image recognition via reference URLs — all without needing to manage message history or token limits yourself.

Application Process

To use the AI Chat API, apply for the corresponding service on the AI Chat API page. After entering the page, click the "Acquire" button.

There is a free quota available for first-time applicants, allowing you to use this API for free.

Quick Start

curl --request POST "https://api.acedata.cloud/aichat/conversations" \
  --header "Authorization: Bearer YOUR_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "gpt-4o",
    "question": "What is the capital of France?"
  }'

APIs and Guides

Explore the supported endpoints and integration guides for AI Chat.

API Path Integration Guidance
AI Chat Conversations API /aichat/conversations AI Chat Conversations API Integration Guide

Related Resources

Support

If you meet any issue, please check support info or browse the latest documentation on docs.acedata.cloud

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AI Chat API (multi-model LLM chat) — documentation and examples

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