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Overview

AI chatbots are one of the most common AI applications. Through Ace Data Cloud’s unified API, you can access multiple large language models such as Claude and OpenAI simultaneously to build powerful multi-turn dialogue systems.

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Involved Services

  • Claude: POST https://api.acedata.cloud/v1/chat/completions
  • OpenAI: POST https://api.acedata.cloud/openai/chat/completions

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Technical Solution

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Prerequisites

  1. Register an account at Ace Data Cloud
  2. Obtain an API Token
  3. Install Python 3.7+ and the requests library

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Implementation Steps

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Step 1: Register and Obtain Token

Go to platform.acedata.cloud to register an account and get your API Token.

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Step 2: Choose a Model

Claude excels at safe and coherent long conversations, while OpenAI GPT-4o is suitable for general scenarios. You can switch flexibly based on your needs.

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Step 3: Implement Dialogue Logic

Maintain a messages array to manage multi-turn dialogue context.

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Code Example

Below is a complete Python example using Claude: 
import requests

API_TOKEN = "YOUR_API_TOKEN"

def call_claude():
    response = requests.post(
        "https://api.acedata.cloud/v1/chat/completions",
        headers={
            "Authorization": f"Bearer {API_TOKEN}",
            "Content-Type": "application/json",
        },
        json={
    "model": "claude-sonnet-4-6",
    "messages": [
        {
            "role": "user",
            "content": "你好，请介绍一下你自己"
        }
    ],
    "max_tokens": 1024,
    "temperature": 0.7
},
    )
    return response.json()

result = call_claude()
print(result)

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Best Practices

  • Error Retry: Use exponential backoff retries for 429 (rate limiting) and 5xx errors
  • Asynchronous Handling: For time-consuming tasks (image/video generation), use callback_url to receive results asynchronously
  • Cost Control: Monitor usage and expenses via the Ace Data Cloud console
  • Token Security: Store API Tokens in environment variables; avoid hardcoding them in code