Get Started with DeepSeek API in 5 Minutes: Complete Tutorial from Registration to First Call

This tutorial will guide you step-by-step on how to quickly start using DeepSeek API, including complete code examples and common problem solutions.

Step 1: Register and Get API Key

1. Visit Atlas Cloud to register an account
2. Go to console and create an API key
3. Copy and save your API Key (format like: sk-xxxxx)

⚠️ Important: Please keep your API Key safe, do not leak it to others or commit it to code repositories.

Step 2: Install SDK

Python

pip install openai

JavaScript/Node.js

npm install openai

Java

<dependency>
    <groupId>com.openai</groupId>
    <artifactId>openai-java</artifactId>
    <version>latest</version>
</dependency>

Step 3: Send First Request

Python Example

from openai import OpenAI

# Initialize client
client = OpenAI(
    api_key="your_api_key_here",  # Replace with your API Key
    base_url="https://api.atlascloud.ai/v1"
)

# Send request
response = client.chat.completions.create(
    model="deepseek-chat",
    messages=[
        {"role": "user", "content": "Hello, please introduce DeepSeek"}
    ],
    temperature=0.7,
    max_tokens=2048
)

# Print result
print(response.choices[0].message.content)

JavaScript Example

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'your_api_key_here',
  baseURL: 'https://api.atlascloud.ai/v1'
});

async function chat() {
  const response = await client.chat.completions.create({
    model: 'deepseek-chat',
    messages: [
      { role: 'user', content: 'Write a quicksort in JavaScript' }
    ],
    temperature: 0.7,
    max_tokens: 2048
  });

  console.log(response.choices[0].message.content);
}

chat();

Common Parameter Descriptions

Streaming Output

Streaming output allows you to see generated results in real-time, improving user experience:

# Python streaming output
stream = client.chat.completions.create(
    model="deepseek-chat",
    messages=[{"role": "user", "content": "Write a story"}],
    stream=True  # Enable streaming output
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

Common Error Solutions

1. 401 Unauthorized

Cause: Incorrect or expired API Key

Solution:

• Check if API Key is correct
• Confirm Authorization format: Bearer your_api_key

2. 429 Too Many Requests

Cause: Request rate limit exceeded

Solution:

• Reduce request frequency
• Upgrade to paid version for higher quota

3. Timeout Error

Cause: Network issues or oversized request

Solution:

# Increase timeout duration
client = OpenAI(
    api_key="your_key",
    base_url="https://api.atlascloud.ai/v1",
    timeout=60.0  # 60 second timeout
)

Best Practices

1. Store API Key in environment variables

import os
api_key = os.getenv("DEEPSEEK_API_KEY")

2. Add error handling

try:
    response = client.chat.completions.create(...)
except Exception as e:
    print(f"Error: {e}")

3. Set reasonable max_tokens

• Code generation: 1024-2048
• Document summarization: 512-1024
• Simple Q&A: 256-512

Next Steps

• View complete API documentation
• Explore more use cases
• Join developer community

This tutorial is continuously updated, feedback is welcome