Xiaoli Dev
e22652fbbb
- 新增 plugins/code_editor.py: 精准代码编辑（搜索替换、批量编辑、diff对比） - 新增 plugins/code_search.py: 代码搜索与理解（跨文件搜索、符号提取、依赖分析） - 新增 plugins/git_tools.py: Git 版本控制（status/diff/log/commit/branch） - 新增 core/ 模块: 配置管理、引擎管理、对话处理、显示输出、代码沙箱 - 修复 requirements.txt: 使用正确的 pip 包名（Pillow、opencv-python 等） - 更新 unified_tool_manager.py: 兼容 Plugin 和 Liugin 两种类名 - 更新系统提示词: 增强编程工作流指导 本次更新由 mimo 自动化执行，与开发者无关。
266 lines
8.3 KiB
Python
266 lines
8.3 KiB
Python
"""
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小狸 Pro-CLI AI 引擎开发 SDK
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提供快速开发 AI 引擎的工具包
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"""
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import os
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import sys
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import json
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import requests
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from colorama import Fore, Style
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from openai import OpenAI
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import logging
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# 设置日志
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logger = logging.getLogger(__name__)
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# 添加项目根目录到sys.path
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current_dir = os.path.dirname(os.path.abspath(__file__))
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project_root = os.path.dirname(current_dir)
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sys.path.insert(0, project_root)
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class _AIEngineSDK:
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"""AI 引擎 SDK 内部实现"""
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def __init__(self):
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self.name = ""
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self.api_key = ""
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self.base_url = ""
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self.model = ""
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self.is_online = True
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self.max_history = 10
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self.conversation_history = []
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self.shared_conversation_history = None
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self.cli = None
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# 深度思考引擎配置
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self.is_thinking_engine = False # 是否是深度思考引擎
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self.thinking_start_marker = "" # 思考开始标记
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self.thinking_end_marker = "" # 思考结束标记
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self.show_thinking = True # 是否显示思考过程
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# 配置文件路径
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self.config_file = os.path.join(project_root, "config.json")
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def _load_config(self):
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"""从配置文件加载配置"""
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try:
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with open(self.config_file, 'r', encoding='utf-8') as f:
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config = json.load(f)
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engine_config = config.get("api", {}).get("engines", {}).get(self.name, {})
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if not self.api_key:
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self.api_key = engine_config.get("api_key", "")
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if not self.base_url:
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self.base_url = engine_config.get("base_url", "")
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if not self.model:
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self.model = engine_config.get("model", "")
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self.max_history = config.get("system", {}).get("max_history", 10)
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except Exception as e:
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logger.error(f"加载配置失败: {e}")
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self.max_history = 10
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def _call_openai_api(self, messages):
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"""调用 OpenAI 格式的 API"""
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try:
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self._load_config()
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# 构建请求体
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body = {
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"model": self.model,
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"messages": messages,
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"stream": False
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}
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# 构建请求头
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headers = {
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'Content-Type': 'application/json'
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}
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if self.api_key:
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headers['Authorization'] = f'Bearer {self.api_key}'
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# 确定 API 地址
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api_url = self.base_url
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if not api_url.endswith("/chat/completions"):
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api_url = api_url.rstrip('/') + "/chat/completions"
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# 发送请求
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response = requests.post(
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url=api_url,
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json=body,
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headers=headers,
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timeout=None
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)
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# 处理响应
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if response.status_code == 200:
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response_data = response.json()
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if "choices" in response_data and len(response_data["choices"]) > 0:
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ai_response = response_data["choices"][0]["message"]["content"]
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# 如果是深度思考引擎，处理思考内容
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if self.is_thinking_engine:
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ai_response = self._process_thinking_content(ai_response)
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return ai_response
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else:
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return f"AI 返回格式错误: {response_data}"
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else:
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return f"AI 调用失败: {response.status_code} - {response.text}"
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except Exception as e:
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return f"AI 调用失败: {str(e)}"
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def _build_messages(self, system_prompt, user_input):
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"""构建消息列表"""
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messages = []
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# 添加系统提示词
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if system_prompt:
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messages.append({
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"role": "system",
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"content": system_prompt
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})
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# 添加历史对话记录
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if self.shared_conversation_history is not None:
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for msg in self.shared_conversation_history[-self.max_history:]:
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if isinstance(msg, dict) and "role" in msg and "content" in msg:
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messages.append(msg)
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# 添加当前用户输入
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messages.append({
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"role": "user",
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"content": user_input
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})
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return messages
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def generate_response(self, user_input, tool_results=None, system_prompt=None):
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"""生成 AI 响应"""
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try:
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# 如果有工具结果，将其作为上下文返回给AI处理
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if tool_results:
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tool_result_text = f"工具执行结果: {tool_results.get('result', '无结果')}"
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messages = self._build_messages(system_prompt, tool_result_text)
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else:
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messages = self._build_messages(system_prompt, user_input)
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# 调用 API
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return self._call_openai_api(messages)
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except Exception as e:
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return f"AI 调用失败: {str(e)}"
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def _process_thinking_content(self, response):
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"""处理思考内容，将思考部分以灰色文本显示，只返回回复部分"""
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import re
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if not self.thinking_start_marker or not self.thinking_end_marker:
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# 如果没有设置标记，直接返回
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return response
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# 使用正则表达式查找思考内容
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pattern = f"{re.escape(self.thinking_start_marker)}(.*?){re.escape(self.thinking_end_marker)}"
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matches = re.findall(pattern, response, re.DOTALL)
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if matches and self.show_thinking:
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for match in matches:
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# 用灰色文本显示思考内容
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thinking_text = f"{Fore.LIGHTBLACK_EX}[思考: {match}]{Style.RESET_ALL}"
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# 替换思考标记之间的内容，保留思考内容但以灰色显示
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response = re.sub(pattern, thinking_text, response, 1)
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elif matches and not self.show_thinking:
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# 如果不显示思考内容，直接删除
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for match in matches:
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response = re.sub(pattern, "", response, 1)
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return response
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# 全局 SDK 实例
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_sdk_instance = _AIEngineSDK()
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def engine_Online(mode):
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"""
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设置引擎模式
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Args:
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mode: "on" - 云模式（在线 API）
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"off" - 本地模式（如 Ollama）
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"""
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_sdk_instance.is_online = (mode.lower() == "on")
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def ai_name(name):
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"""设置引擎名称"""
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_sdk_instance.name = name
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def ai_api_url(url):
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"""设置 API 地址"""
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_sdk_instance.base_url = url
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def ai_api_key(key):
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"""设置 API 密钥"""
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_sdk_instance.api_key = key
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def ai_model_id(model):
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"""设置模型名称"""
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_sdk_instance.model = model
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def ai_thinking_engine(enable=True, start_marker="<thinking>", end_marker="</thinking>", show_thinking=True):
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"""
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设置深度思考引擎配置
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Args:
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enable: 是否启用深度思考引擎模式
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start_marker: 思考开始标记，默认为 "<thinking>"
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end_marker: 思考结束标记，默认为 "</thinking>"
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show_thinking: 是否显示思考过程，默认为 True
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"""
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_sdk_instance.is_thinking_engine = enable
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_sdk_instance.thinking_start_marker = start_marker
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_sdk_instance.thinking_end_marker = end_marker
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_sdk_instance.show_thinking = show_thinking
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def set_cli(cli):
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"""设置 CLI 引用"""
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_sdk_instance.cli = cli
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def set_shared_history(history):
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"""设置共享对话历史"""
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_sdk_instance.shared_conversation_history = history
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def generate_response(user_input, tool_results=None, system_prompt=None):
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"""生成 AI 响应"""
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return _sdk_instance.generate_response(user_input, tool_results, system_prompt)
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def get_sdk_instance():
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"""获取 SDK 实例（用于高级用法）"""
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return _sdk_instance
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# 导出
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__all__ = [
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'engine_Online',
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'ai_name',
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'ai_api_url',
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'ai_api_key',
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'ai_model_id',
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'ai_thinking_engine',
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'set_cli',
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'set_shared_history',
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'generate_response',
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'get_sdk_instance'
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] |