Python调用豆包API的完整指南

pip install requests  # 用于HTTP请求
pip install python-dotenv  # 用于管理环境变量（可选）

import requests
import json

def call_doubao_api(api_key, prompt, model="doubao-pro"):
    """
    调用豆包API的基本函数
    
    参数:
        api_key: 您的豆包API密钥
        prompt: 输入的提示文本
        model: 使用的模型版本，默认为'doubao-pro'
    
    返回:
        API的响应内容
    """
    url = "https://api.doubao.com/v1/chat/completions"
    
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {api_key}"
    }
    
    data = {
        "model": model,
        "messages": [
            {"role": "user", "content": prompt}
        ],
        "temperature": 0.7
    }
    
    response = requests.post(url, headers=headers, json=data)
    
    if response.status_code == 200:
        return response.json()
    else:
        raise Exception(f"API调用失败，状态码: {response.status_code}, 错误: {response.text}")

# 使用示例
api_key = "your_api_key_here"  # 替换为您的实际API密钥
response = call_doubao_api(api_key, "Python是什么？")
print(response["choices"][0]["message"]["content"])

def multi_turn_conversation(api_key):
    conversation_history = []
    
    while True:
        user_input = input("你: ")
        if user_input.lower() in ["退出", "exit", "quit"]:
            break
            
        conversation_history.append({"role": "user", "content": user_input})
        
        response = call_doubao_api(
            api_key=api_key,
            prompt=conversation_history,
            model="doubao-pro"
        )
        
        assistant_reply = response["choices"][0]["message"]["content"]
        conversation_history.append({"role": "assistant", "content": assistant_reply})
        
        print(f"豆包: {assistant_reply}")

# 使用示例
# multi_turn_conversation("your_api_key_here")

def stream_doubao_response(api_key, prompt):
    url = "https://api.doubao.com/v1/chat/completions"
    
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {api_key}"
    }
    
    data = {
        "model": "doubao-pro",
        "messages": [{"role": "user", "content": prompt}],
        "stream": True
    }
    
    with requests.post(url, headers=headers, json=data, stream=True) as response:
        for line in response.iter_lines():
            if line:
                decoded_line = line.decode('utf-8')
                if decoded_line.startswith("data:"):
                    json_data = decoded_line[5:].strip()
                    if json_data != "[DONE]":
                        try:
                            chunk = json.loads(json_data)
                            content = chunk.get("choices", [{}])[0].get("delta", {}).get("content", "")
                            print(content, end="", flush=True)
                        except json.JSONDecodeError:
                            pass
        print()

# 使用示例
# stream_doubao_response("your_api_key_here", "请详细解释Python的生成器")

import time
from requests.exceptions import RequestException

def robust_doubao_call(api_key, prompt, max_retries=3):
    retries = 0
    last_error = None
    
    while retries < max_retries:
        try:
            response = call_doubao_api(api_key, prompt)
            return response
        except RequestException as e:
            last_error = e
            retries += 1
            if retries < max_retries:
                time.sleep(2 ** retries)  # 指数退避
        except Exception as e:
            last_error = e
            break
    
    raise Exception(f"API调用失败，重试{max_retries}次后仍不成功。最后错误: {str(last_error)}")

def generate_code_explanation(api_key, code_snippet):
    prompt = f"""
    请解释以下Python代码的功能和工作原理：
    
    {code_snippet}
    
    请按照以下格式回答：
    1. 代码功能概述
    2. 关键代码段解析
    3. 可能的改进建议
    """
    
    response = robust_doubao_call(api_key, prompt)
    return response["choices"][0]["message"]["content"]

def generate_summary(api_key, text, length="short"):
    length_map = {
        "short": "50字以内",
        "medium": "100-150字",
        "long": "200-300字"
    }
    
    prompt = f"""
    请为以下文本生成一个{length_map.get(length, "适中")}的摘要：
    
    {text}
    
    摘要要求：
    - 保留核心信息
    - 语言简洁明了
    - 保持客观中立
    """
    
    response = robust_doubao_call(api_key, prompt)
    return response["choices"][0]["message"]["content"]

from dotenv import load_dotenv
import os

load_dotenv()
api_key = os.getenv("DOUBAO_API_KEY")