110 lines
2.9 KiB
Python
110 lines
2.9 KiB
Python
"""
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AI 服务模块
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封装 OpenAI API 调用逻辑
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"""
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from openai import OpenAI
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from typing import Optional, List, Dict
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from app.config import settings
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class AIService:
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"""AI 服务类"""
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def __init__(self):
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"""初始化 OpenAI 客户端"""
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self.client = OpenAI(
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api_key=settings.openai_api_key,
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base_url=settings.openai_base_url
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)
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self.model = settings.openai_model
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async def chat(
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self,
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message: str,
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system_prompt: Optional[str] = None,
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history: Optional[List[Dict[str, str]]] = None
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) -> str:
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"""
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与 AI 进行对话
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Args:
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message: 用户输入的消息
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system_prompt: 系统提示词（可选）
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history: 对话历史（可选）
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Returns:
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AI 的回复内容
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"""
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# 构建消息列表
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messages = []
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# 添加系统提示
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if system_prompt:
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messages.append({"role": "system", "content": system_prompt})
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# 添加对话历史
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if history:
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messages.extend(history)
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# 添加当前用户消息
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messages.append({"role": "user", "content": message})
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try:
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# 调用 OpenAI API
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response = self.client.chat.completions.create(
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model=self.model,
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messages=messages,
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temperature=0.7,
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max_tokens=2000
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)
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# 返回 AI 回复
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return response.choices[0].message.content
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except Exception as e:
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raise Exception(f"AI 调用失败: {str(e)}")
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async def chat_with_tools(
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self,
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message: str,
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tools: List[Dict],
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system_prompt: Optional[str] = None
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) -> Dict:
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"""
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使用工具与 AI 进行对话
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Args:
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message: 用户输入的消息
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tools: 可用工具列表
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system_prompt: 系统提示词（可选）
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Returns:
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包含回复和工具调用信息的字典
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"""
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messages = []
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if system_prompt:
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messages.append({"role": "system", "content": system_prompt})
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messages.append({"role": "user", "content": message})
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try:
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response = self.client.chat.completions.create(
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model=self.model,
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messages=messages,
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tools=tools,
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tool_choice="auto"
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)
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return {
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"message": response.choices[0].message,
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"finish_reason": response.choices[0].finish_reason
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}
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except Exception as e:
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raise Exception(f"AI 工具调用失败: {str(e)}")
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# 创建全局 AI 服务实例
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ai_service = AIService()
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