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ai_api.py
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ai_api.py
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import requests
import winreg
def get_proxy():
try:
with winreg.OpenKey(winreg.HKEY_CURRENT_USER, r"Software\Microsoft\Windows\CurrentVersion\Internet Settings") as key:
proxy_enable, _ = winreg.QueryValueEx(key, "ProxyEnable")
proxy_server, _ = winreg.QueryValueEx(key, "ProxyServer")
if proxy_enable and proxy_server:
proxy_parts = proxy_server.split(":")
if len(proxy_parts) == 2:
return {"http": f"http://{proxy_server}", "https": f"http://{proxy_server}"}
except WindowsError:
pass
return {"http": None, "https": None}
class ChatSession:
def __init__(self, api_key, base_url, model, system_prompt):
"""
初始化聊天会话
:param api_key: API密钥
:param base_url: API基础URL
:param model: 使用的模型名称
:param system_prompt: 系统提示，用于设定AI角色
"""
base_url = base_url.rstrip('/')
if 'googleapis.com' in base_url.lower():
self.base_url = f"{base_url}/v1beta/chat/completions"
elif 'bigmodel.cn' in base_url.lower():
self.base_url = f"{base_url}/api/paas/v4/chat/completions"
elif 'volces.com' in base_url.lower():
self.base_url = f"{base_url}/api/v3/chat/completions"
else:
if not base_url.startswith(('http://', 'https://')):
base_url = 'https://' + base_url
if not '/chat/completions' in base_url.lower():
if '/v1' in base_url:
base_url = f"{base_url}/chat/completions"
else:
base_url = f"{base_url}/v1/chat/completions"
print(f"已添加标准endpoint -> {base_url}")
self.base_url = base_url
self.api_key = api_key
self.model = model
self.system_prompt = system_prompt
self.message_history = []
def get_full_context(self, user_message):
"""构建完整的消息上下文"""
return [self.system_prompt] + self.message_history + [user_message]
def add_to_history(self, message):
"""添加消息到历史记录"""
self.message_history.append(message)
def clear_history(self):
"""清空历史记录"""
self.message_history = []
def chat(self, user_input, temperature=0.7, max_tokens=2000):
"""
发送消息并获取回复
:param user_input: 用户输入的消息
:param temperature: 温度参数，控制回复的随机性
:param max_tokens: 回复的最大token数量
"""
if self.api_key is None:
print("api_key is None")
return None
user_message = {"role": "user", "content": user_input}
message_context = self.get_full_context(user_message)
print("\n=== 当前对话记录 ===")
if not self.message_history:
print("新对话 或者 未开启记住历史对话")
for i, msg in enumerate(message_context, 1):
print(f"{i}. {msg['role']}: {msg['content']}")
print("==================\n")
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {self.api_key}"
}
data = {
"model": self.model,
"messages": message_context,
"temperature": temperature,
"max_tokens": max_tokens,
"stream": False
}
try:
response = requests.post(
self.base_url,
headers=headers,
json=data,
proxies=get_proxy(),
verify=True,
timeout=30
)
if response.status_code != 200:
error_msg = f"API请求错误: HTTP {response.status_code}\n{response.text}"
print(error_msg)
return error_msg
response_data = response.json()
if "choices" in response_data and len(response_data["choices"]) > 0:
ai_response = response_data["choices"][0]["message"]["content"]
if not ai_response.startswith(("\n发生错误", "request error", "API请求错误")):
self.add_to_history(user_message)
self.add_to_history({"role": "assistant", "content": ai_response})
return ai_response
return None
except Exception as e:
error_msg = f"\n发生错误: {str(e)}"
print(error_msg)
return error_msg
def get_models(self):
"""获取可用的模型列表"""
if 'googleapis.com' in self.base_url:
models_url = "https://generativelanguage.googleapis.com/v1beta/models"
try:
response = requests.get(
models_url,
params={'key': self.api_key},
proxies=get_proxy(),
verify=True,
timeout=10
)
if response.status_code == 200:
models = response.json()
return [model['name'].split('models/')[1] for model in models['models']]
return []
except Exception as e:
print(f"获取Gemini模型列表失败: {str(e)}")
return []
elif 'bigmodel.cn' in self.base_url.lower():
return ['GLM-4-Flash', 'GLM-4-Plus', 'GLM-4V-Flash', 'GLM-4V-Plus']
elif 'volces.com' in self.base_url.lower():
models_url = "https://ark.cn-beijing.volces.com/api/v3/models"
return ['请填入格式ep-20241219144352-xxxxxx的接入点ID']
else:
base_url = self.base_url.split('/chat/completions')[0]
models_url = f"{base_url}/models"
try:
response = requests.get(
models_url,
headers={"Authorization": f"Bearer {self.api_key}"},
proxies=get_proxy(),
verify=True,
timeout=10
)
if response.status_code == 200:
models = response.json()
return [model['id'] for model in models['data']]
return []
except Exception as e:
print(f"获取模型列表失败: {str(e)}")
return []