DeepSeek API 完整接口文档

from openai import OpenAI

client = OpenAI(
    api_key="<your api key>",
    base_url="https://api.deepseek.com"
)

response = client.chat.completions.create(
    model="deepseek-v4-pro",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hello!"}
    ],
    extra_body={"thinking": {"type": "enabled"}},
    reasoning_effort="high"
)

print(response.choices[0].message.content)

const response = await fetch('https://api.deepseek.com/chat/completions', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': `Bearer ${API_KEY}`
  },
  body: JSON.stringify({
    model: 'deepseek-v4-pro',
    messages: [
      { role: 'system', content: '你是一个专业的编程助手。' },
      { role: 'user', content: '解释 JavaScript 的事件循环机制' }
    ],
    stream: true
  })
});

const reader = response.body.getReader();
const decoder = new TextDecoder();
let buffer = '';

while (true) {
  const { done, value } = await reader.read();
  if (done) break;
  buffer += decoder.decode(value, { stream: true });
  const lines = buffer.split('\n');
  buffer = lines.pop();
  for (const line of lines) {
    if (!line.startsWith('data: ') || line === 'data: [DONE]') continue;
    const chunk = JSON.parse(line.slice(6));
    const content = chunk.choices[0]?.delta?.content;
    if (content) process.stdout.write(content);
  }
}

from openai import OpenAI

client = OpenAI(api_key="<your api key>", base_url="https://api.deepseek.com")

response = client.chat.completions.create(
    model="deepseek-v4-pro",
    messages=[{"role": "user", "content": "9.11 和 9.8 哪个更大？"}],
    reasoning_effort="high",
    extra_body={"thinking": {"type": "enabled"}}
)

msg = response.choices[0].message
print(f"[思考过程]\n{msg.reasoning_content}")
print(f"\n[最终回答]\n{msg.content}")

const response = await fetch('https://api.deepseek.com/chat/completions', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': `Bearer ${API_KEY}`
  },
  body: JSON.stringify({
    model: 'deepseek-v4-pro',
    messages: [{ role: 'user', content: '杭州今天天气怎么样？' }],
    stream: false,
    tools: [{
      type: 'function',
      function: {
        name: 'get_weather',
        description: '获取指定城市的当前天气信息',
        parameters: {
          type: 'object',
          properties: {
            location: { type: 'string', description: '城市名称' }
          },
          required: ['location']
        }
      }
    }]
  })
});

const data = await response.json();
console.log('工具调用:', data.choices[0].message.tool_calls);

from openai import OpenAI
import json

client = OpenAI(api_key="<your api key>", base_url="https://api.deepseek.com")

response = client.chat.completions.create(
    model="deepseek-v4-pro",
    messages=[
        {"role": "system", "content": "请以 JSON 格式输出，包含 question 和 answer 字段。"},
        {"role": "user", "content": "世界上最高的山是什么？珠穆朗玛峰。"}
    ],
    response_format={"type": "json_object"}
)

data = json.loads(response.choices[0].message.content)
print(json.dumps(data, ensure_ascii=False, indent=2))

from openai import OpenAI

client = OpenAI(api_key="<your api key>", base_url="https://api.deepseek.com")

messages = [
    {"role": "system", "content": "你是一个专业的编程助手，请用中文回答。"},
    {"role": "user", "content": "JavaScript 中 Promise 和 async/await 的区别是什么？"}
]

response = client.chat.completions.create(
    model="deepseek-v4-pro",
    messages=messages,
    stream=True
)

full_reply = ""
for chunk in response:
    content = chunk.choices[0].delta.content
    if content:
        full_reply += content
        print(content, end="", flush=True)

# Continue conversation
messages.append({"role": "assistant", "content": full_reply})
messages.append({"role": "user", "content": "能给一个 async/await 的代码示例吗？"})