feat: 增强编码能力 - 新增代码编辑器、代码搜索、Git集成

- 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。
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Xiaoli Dev committed 2026-04-25 10:55:27 +08:00
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import os
import json
import requests
from colorama import Fore, Style
from openai import OpenAI
# 获取项目根目录
current_dir = os.path.dirname(os.path.abspath(__file__))
project_root = os.path.dirname(current_dir)
class Maas_http_engineAI:
"""基于HTTP协议的MaaS(Model as a Service)AI引擎"""
requires_api_key = True # MaaS HTTP引擎需要API密钥
def get_help_info(self):
"""获取引擎帮助信息"""
help_text = """
MaaS HTTP AI引擎插件帮助信息
==========================
引擎名称: maas_http
描述: 基于HTTP协议的MaaS(Model as a Service)AI引擎,支持多种大模型推理服务
可用命令:
无特定命令,直接与AI对话即可
使用说明:
1. 此引擎使用HTTP协议调用MaaS API
2. 使用/engine.switch maas_http切换到此引擎
3. 直接输入自然语言与AI对话
4. 支持普通对话、流式对话、JSON模式等多种调用方式
"""
return help_text
def __init__(self):
self.name = "maas_http"
self.cli = None # 引用CLI实例以訪問插件
# 直接从 config.json 读取配置
config_file = os.path.join(project_root, "config.json")
try:
with open(config_file, 'r', encoding='utf-8') as f:
config = json.load(f)
engine_config = config.get("api", {}).get("engines", {}).get("maas_http", {})
self.api_key = engine_config.get("api_key", "")
self.base_url = engine_config.get("base_url", "")
self.model_id = engine_config.get("model", "")
except Exception as e:
# 如果读取失败,使用空值
self.api_key = ""
self.base_url = ""
self.model_id = ""
# 初始化客户端
self.client = OpenAI(
api_key=self.api_key,
base_url=self.base_url
)
# 初始化对话历史
self.conversation_history = []
# 设置最大历史记录数
try:
with open(config_file, 'r', encoding='utf-8') as f:
config = json.load(f)
self.max_history = config.get("system", {}).get("max_history", 10)
except:
self.max_history = 10
# 共享對話歷史引用(由CLI設置)
self.shared_conversation_history = None
def generate_response(self, user_input, tool_results=None, system_prompt=None):
"""生成AI響應 - 使用MaaS HTTP API"""
try:
# 如果有工具結果,將其作為上下文返回給AI處理
if tool_results:
tool_result_text = f"工具執行結果: {tool_results.get('result', '無結果')}"
# 構建包含歷史記錄的消息列表
messages = self._build_messages_with_history(system_prompt, tool_result_text)
# 調用API
response = self._call_api(messages)
if response:
return response
else:
return "MaaS HTTP API調用失敗"
# 構建包含歷史記錄的消息列表
messages = self._build_messages_with_history(system_prompt, user_input)
# 調用API
response = self._call_api(messages)
if response:
return response
else:
return "MaaS HTTP API調用失敗"
except Exception as e:
# 如果API調用失敗,返回錯誤信息
return f"MaaS HTTP API調用失敗: {str(e)}"
def _call_api(self, messages, use_stream=False, extra_body=None):
"""調用API的核心方法"""
if extra_body is None:
extra_body = {}
try:
response = self.client.chat.completions.create(
model=self.model_id or self.default_model,
messages=messages,
stream=use_stream,
temperature=0.7,
max_tokens=4096,
extra_headers={"lora_id": "0"},
stream_options={"include_usage": True},
extra_body=extra_body
)
if use_stream:
# 處理流式響應
full_response = ""
for chunk in response:
if hasattr(chunk.choices[0].delta, 'content') and chunk.choices[0].delta.content:
content = chunk.choices[0].delta.content
full_response += content
return full_response
else:
# 處理非流式響應
return response.choices[0].message.content
except Exception as e:
print(f"MaaS HTTP API請求出錯: {e}")
return None
def _build_messages_with_history(self, system_prompt, user_input):
"""構建包含歷史記錄的消息列表"""
messages = []
# 添加系統提示詞
if system_prompt:
messages.append({
"role": "system",
"content": system_prompt
})
# 添加歷史對話記錄(使用共享歷史)
if self.shared_conversation_history is not None:
# 確保歷史記錄格式正確
for msg in self.shared_conversation_history[-self.max_history:]:
if isinstance(msg, dict) and "role" in msg and "content" in msg:
messages.append(msg)
else:
# 如果格式不正確,跳過該條記錄
continue
# 添加當前用戶輸入
messages.append({
"role": "user",
"content": user_input
})
return messages
def _call_api_with_history(self, content, system_prompt=None):
"""使用對話歷史調用API"""
# 構建消息列表
messages = []
# 添加系統提示詞(如果提供)
if system_prompt:
messages.append({
"role": "system",
"content": system_prompt
})
# 添加歷史對話記錄(使用共享歷史)
if self.shared_conversation_history is not None:
# 確保歷史記錄格式正確
for msg in self.shared_conversation_history[-self.max_history:]:
if isinstance(msg, dict) and "role" in msg and "content" in msg:
messages.append(msg)
else:
# 如果格式不正確,跳過該條記錄
continue
# 添加當前內容
messages.append({
"role": "tool",
"content": content
})
# 調用API
response = self._call_api(messages)
if response:
return response
else:
return "MaaS HTTP API調用失敗"
def handle_command(self, command):
"""處理引擎特定命令"""
# MaaS HTTP引擎目前不支持特定命令
print(f"{Fore.RED}MaaS HTTP引擎不支持此命令{Style.RESET_ALL}")
return False