DeepSeek V4 Pro正式版发布：DeepThink推理引擎重新定义AI Agent能力

# DeepSeek V4 Pro API 调用示例（思考模式）
import requests

url = "https://api.deepseek.com/chat/completions"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
}
payload = {
    "model": "deepseek-v4-pro",
    "messages": [
        {"role": "system", "content": "你是一个专业的代码工程师"},
        {"role": "user", "content": "请分析以下代码的安全漏洞并给出修复方案"}
    ],
    "thinking": {
        "type": "enabled",
        "level": "max"  # 支持 low / high / max 三档
    },
    "max_tokens": 384000
}

response = requests.post(url, headers=headers, json=payload)
result = response.json()
print(result["choices"][0]["message"]["content"])

# 使用大上下文处理完整代码仓库分析
def analyze_repository_with_deepseek(repo_content, api_key):
    """利用V4 Pro的1M上下文窗口分析整个代码库"""
    headers = {
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json"
    }
    payload = {
        "model": "deepseek-v4-pro",
        "messages": [
            {
                "role": "system",
                "content": "你是资深代码审计专家。请对以下完整代码库进行安全审计，识别所有潜在漏洞并提供修复建议。"
            },
            {
                "role": "user",
                "content": f"以下是完整代码库内容：

{repo_content}"
            }
        ],
        "thinking": {"type": "enabled", "level": "max"},
        "max_tokens": 384000  # 利用最大输出长度
    }
    response = requests.post(
        "https://api.deepseek.com/chat/completions",
        headers=headers,
        json=payload
    )
    return response.json()

# 峰谷定价感知的任务调度示例
import datetime

def get_optimal_pricing_period():
    """判断当前是否为闲时，优化API调用成本"""
    now = datetime.datetime.now()
    hour = now.hour
    # 闲时通常为凌晨0点至早上8点（具体以官方公告为准）
    if 0 <= hour < 8:
        return {"period": "off-peak", "discount": 0.5, "model": "deepseek-v4-pro"}
    else:
        return {"period": "peak", "discount": 1.0, "model": "deepseek-v4-pro"}

def batch_process_tasks(tasks):
    """批量任务处理，利用闲时降低成本"""
    pricing = get_optimal_pricing_period()
    if pricing["period"] == "off-peak":
        print(f"当前为闲时，享受{pricing['discount']*100}%优惠价格")
        # 执行非紧急的批量任务
        for task in tasks:
            process_single_task(task)
    else:
        print("当前为高峰时段，建议推迟非紧急任务至闲时")
        # 仅执行紧急任务
        for task in tasks:
            if task.get("urgent"):
                process_single_task(task)

# 兼容OpenAI和Anthropic双格式的统一客户端
class DeepSeekUnifiedClient:
    """支持OpenAI和Anthropic双API格式的统一客户端"""
    
    def __init__(self, api_key, base_url="https://api.deepseek.com"):
        self.api_key = api_key
        self.base_url = base_url
    
    # OpenAI格式调用
    def call_openai_format(self, messages, model="deepseek-v4-pro", thinking=True):
        endpoint = f"{self.base_url}/chat/completions"
        headers = {
            "Authorization": f"Bearer {self.api_key}",
            "Content-Type": "application/json"
        }
        payload = {
            "model": model,
            "messages": messages,
            "thinking": {"type": "enabled" if thinking else "disabled", "level": "high"}
        }
        return requests.post(endpoint, headers=headers, json=payload)
    
    # Anthropic格式调用
    def call_anthropic_format(self, system, messages, model="deepseek-v4-pro"):
        endpoint = f"{self.base_url}/messages"
        headers = {
            "x-api-key": self.api_key,
            "Content-Type": "application/json",
            "anthropic-version": "2024-01-01"
        }
        payload = {
            "model": model,
            "system": system,
            "messages": messages,
            "max_tokens": 384000
        }
        return requests.post(endpoint, headers=headers, json=payload)
    
    # Responses API（原生支持）
    def call_responses_api(self, input_text, model="deepseek-v4-pro"):
        endpoint = f"{self.base_url}/responses"
        headers = {
            "Authorization": f"Bearer {self.api_key}",
            "Content-Type": "application/json"
        }
        payload = {
            "model": model,
            "input": input_text
        }
        return requests.post(endpoint, headers=headers, json=payload)