feat: 优化agent插件及webUI对话页面

plugins/agent/README.md

@@ -0,0 +1,77 @@
+# AgentMesh Plugin
+
+这个插件集成了 AgentMesh 多智能体框架，允许用户通过简单的命令使用多智能体团队来完成各种任务。
+
+## 功能介绍
+
+AgentMesh 是一个开源的多智能体平台，提供开箱即用的 Agent 开发框架、多 Agent 间的协同策略、任务规划和自主决策能力。通过这个插件，你可以：
+
+- 使用预配置的智能体团队处理复杂任务
+- 利用多智能体协作能力解决问题
+- 访问各种工具，如搜索引擎、浏览器、文件系统等
+
+## 安装
+
+1. 确保已安装 AgentMesh SDK：
+
+```bash
+pip install agentmesh-sdk>=0.1.0
+```
+
+2. 如需使用浏览器工具，还需安装：
+
+```bash
+pip install browser-use>=0.1.40
+playwright install
+```
+
+## 配置
+
+插件从项目根目录的 `config.yaml` 文件中读取配置。请确保该文件包含正确的团队配置。
+
+配置示例：
+
+```yaml
+teams:
+  general_team:
+    description: "通用智能体团队，擅长于搜索、研究和执行各种任务"
+    model: "gpt-4o"
+    max_steps: 20
+    agents:
+      - name: "通用助手"
+        description: "全能的通用智能体"
+        system_prompt: "你是全能的通用智能体，可以帮助用户解决工作、生活、学习上的任何问题，以及使用工具解决各类复杂问题"
+        tools: ["google_search", "calculator", "current_time"]
+```
+
+## 使用方法
+
+使用 `$agent` 前缀触发插件，支持以下命令：
+
+- `$agent teams` - 列出可用的团队
+- `$agent use [team_name] [task]` - 使用特定团队执行任务
+- `$agent [task]` - 使用默认团队执行任务
+
+### 示例
+
+```
+$agent teams
+$agent use general_team 帮我分析多智能体技术发展趋势
+$agent 帮我查看当前文件夹路径
+```
+
+## 工具支持
+
+AgentMesh 支持多种工具，包括但不限于：
+
+- `calculator`: 数学计算工具
+- `current_time`: 获取当前时间
+- `browser`: 浏览器操作工具
+- `google_search`: 搜索引擎
+- `file_save`: 文件保存工具
+- `terminal`: 终端命令执行工具
+
+## 注意事项
+
+1. 确保 `config.yaml` 文件中包含正确的团队配置
+2. 如果需要使用浏览器工具，请确保安装了相关依赖

plugins/agent/__init__.py

@@ -0,0 +1,3 @@
+from .agent import AgentPlugin
+
+__all__ = ["AgentPlugin"]

plugins/agent/agent.py

@@ -0,0 +1,283 @@
+import os
+import yaml
+from typing import Dict, List, Optional
+
+from agentmesh import AgentTeam, Agent, LLMModel
+from agentmesh.models import ClaudeModel
+from agentmesh.tools import ToolManager
+from config import conf
+
+import plugins
+from plugins import Plugin, Event, EventContext, EventAction
+from bridge.context import ContextType
+from bridge.reply import Reply, ReplyType
+from common.log import logger
+
+
+@plugins.register(
+    name="agent",
+    desc="Use AgentMesh framework to process tasks with multi-agent teams",
+    version="0.1.0",
+    author="Saboteur7",
+    desire_priority=1,
+)
+class AgentPlugin(Plugin):
+    """Plugin for integrating AgentMesh framework."""
+    
+    def __init__(self):
+        super().__init__()
+        self.handlers[Event.ON_HANDLE_CONTEXT] = self.on_handle_context
+        self.name = "agent"
+        self.description = "Use AgentMesh framework to process tasks with multi-agent teams"
+        self.config = self._load_config()
+        self.tool_manager = ToolManager()
+        self.tool_manager.load_tools(config_dict=self.config.get("tools"))
+        logger.info("[agent] inited")
+    
+    def _load_config(self) -> Dict:
+        """Load configuration from config.yaml file."""
+        config_path = os.path.join(self.path, "config.yaml")
+        if not os.path.exists(config_path):
+            logger.warning(f"Config file not found at {config_path}")
+            return {}
+            
+        with open(config_path, 'r', encoding='utf-8') as f:
+            return yaml.safe_load(f)
+    
+    def get_help_text(self, verbose=False, **kwargs):
+        """Return help message for the agent plugin."""
+        help_text = "AgentMesh插件: 使用多智能体团队处理任务和回答问题，支持多种工具和智能体协作能力。"
+        trigger_prefix = conf().get("plugin_trigger_prefix", "$")
+        
+        if not verbose:
+            return help_text
+            
+        teams = self.get_available_teams()
+        teams_str = ", ".join(teams) if teams else "未配置任何团队"
+        
+        help_text += "\n\n使用说明：\n"
+        help_text += f"{trigger_prefix}agent teams - 列出可用的团队\n"
+        help_text += f"{trigger_prefix}agent use [team_name] [task] - 使用特定团队执行任务\n"
+        help_text += f"{trigger_prefix}agent [task] - 使用默认团队执行任务\n\n"
+        help_text += f"可用团队: {teams_str}\n\n"
+        help_text += f"示例:\n"
+        help_text += f"{trigger_prefix}agent use general_team 帮我分析多智能体技术发展趋势\n"
+        help_text += f"{trigger_prefix}agent 帮我查看当前文件夹路径"
+        
+        return help_text
+    
+    def get_available_teams(self) -> List[str]:
+        """Get list of available teams from configuration."""
+        teams_config = self.config.get("teams", {})
+        return list(teams_config.keys())
+
+
+    def create_team_from_config(self, team_name: str) -> Optional[AgentTeam]:
+        """Create a team from configuration."""
+        # Get teams configuration
+        teams_config = self.config.get("teams", {})
+
+        # Check if the specified team exists
+        if team_name not in teams_config:
+            logger.error(f"Team '{team_name}' not found in configuration.")
+            available_teams = list(teams_config.keys())
+            logger.info(f"Available teams: {', '.join(available_teams)}")
+            return None
+
+        # Get team configuration
+        team_config = teams_config[team_name]
+
+        # Get team's model
+        team_model_name = team_config.get("model", "gpt-4.1-mini")
+        team_model = self.create_llm_model(team_model_name)
+
+        # Get team's max_steps (default to 20 if not specified)
+        team_max_steps = team_config.get("max_steps", 20)
+
+        # Create team with the model
+        team = AgentTeam(
+            name=team_name,
+            description=team_config.get("description", ""),
+            rule=team_config.get("rule", ""),
+            model=team_model,
+            max_steps=team_max_steps
+        )
+
+        # Create and add agents to the team
+        agents_config = team_config.get("agents", [])
+        for agent_config in agents_config:
+            # Check if agent has a specific model
+            if agent_config.get("model"):
+                agent_model = self.create_llm_model(agent_config.get("model"))
+            else:
+                agent_model = team_model
+
+            # Get agent's max_steps
+            agent_max_steps = agent_config.get("max_steps")
+
+            agent = Agent(
+                name=agent_config.get("name", ""),
+                system_prompt=agent_config.get("system_prompt", ""),
+                model=agent_model,  # Use agent's model if specified, otherwise will use team's model
+                description=agent_config.get("description", ""),
+                max_steps=agent_max_steps
+            )
+
+            # Add tools to the agent if specified
+            tool_names = agent_config.get("tools", [])
+            for tool_name in tool_names:
+                tool = self.tool_manager.create_tool(tool_name)
+                if tool:
+                    agent.add_tool(tool)
+                else:
+                    if tool_name == "browser":
+                        logger.warning(
+                            "Tool 'Browser' loaded failed, "
+                            "please install the required dependency with: \n"
+                            "'pip install browser-use>=0.1.40' or 'pip install agentmesh-sdk[full]'\n"
+                        )
+                    else:
+                        logger.warning(f"Tool '{tool_name}' not found for agent '{agent.name}'\n")
+
+            # Add agent to team
+            team.add(agent)
+
+        return team
+    
+    def on_handle_context(self, e_context: EventContext):
+        """Handle the message context."""
+        if e_context['context'].type != ContextType.TEXT:
+            return
+        content = e_context['context'].content
+        trigger_prefix = conf().get("plugin_trigger_prefix", "$")
+        
+        if not content.startswith(f"{trigger_prefix}agent "):
+            e_context.action = EventAction.CONTINUE
+            return
+
+        if not self.config:
+            reply = Reply()
+            reply.type = ReplyType.ERROR
+            reply.content = "未找到插件配置，请在 plugins/agent 目录下创建 config.yaml 配置文件，可根据 config-template.yml 模板文件复制"
+            e_context['reply'] = reply
+            e_context.action = EventAction.BREAK_PASS
+            return
+
+        # Extract the actual task
+        task = content[len(f"{trigger_prefix}agent "):].strip()
+        
+        # If task is empty, return help message
+        if not task:
+            reply = Reply()
+            reply.type = ReplyType.TEXT
+            reply.content = self.get_help_text(verbose=True)
+            e_context['reply'] = reply
+            e_context.action = EventAction.BREAK_PASS
+            return
+            
+        # Check if task is asking for available teams
+        if task.lower() in ["teams", "list teams", "show teams"]:
+            teams = self.get_available_teams()
+            reply = Reply()
+            reply.type = ReplyType.TEXT
+            
+            if not teams:
+                reply.content = "未配置任何团队。请检查 config.yaml 文件。"
+            else:
+                reply.content = f"可用团队: {', '.join(teams)}"
+                
+            e_context['reply'] = reply
+            e_context.action = EventAction.BREAK_PASS
+            return
+        
+        # Check if task specifies a team
+        team_name = None
+        if task.startswith("use "):
+            parts = task[4:].split(" ", 1)
+            if len(parts) > 0:
+                team_name = parts[0]
+                if len(parts) > 1:
+                    task = parts[1].strip()
+                else:
+                    reply = Reply()
+                    reply.type = ReplyType.TEXT
+                    reply.content = f"已选择团队 '{team_name}'。请输入您想执行的任务。"
+                    e_context['reply'] = reply
+                    e_context.action = EventAction.BREAK_PASS
+                    return
+        if not team_name:
+            team_name = self.config.get("team")
+
+        # If no team specified, use default or first available
+        if not team_name:
+            teams = self.configself.get_available_teams()
+            if not teams:
+                reply = Reply()
+                reply.type = ReplyType.TEXT
+                reply.content = "未配置任何团队。请检查 config.yaml 文件。"
+                e_context['reply'] = reply
+                e_context.action = EventAction.BREAK_PASS
+                return
+            team_name = teams[0]
+            
+        # Create team
+        team = self.create_team_from_config(team_name)
+        if not team:
+            reply = Reply()
+            reply.type = ReplyType.TEXT
+            reply.content = f"创建团队 '{team_name}' 失败。请检查配置。"
+            e_context['reply'] = reply
+            e_context.action = EventAction.BREAK_PASS
+            return
+        
+        # Run the task
+        try:
+            logger.info(f"[agent] Running task '{task}' with team '{team_name}', team_model={team.model.model}")
+            result = team.run_async(task=task)
+            for agent_result in result:
+                res_text = f"🤖 {agent_result.get('agent_name')}\n\n{agent_result.get('final_answer')}"
+                _send_text(e_context, content=res_text)
+            
+            reply = Reply()
+            reply.type = ReplyType.TEXT
+            reply.content = ""
+            e_context['reply'] = reply
+            e_context.action = EventAction.BREAK_PASS
+            
+        except Exception as e:
+            logger.exception(f"Error running task with team '{team_name}'")
+            
+            reply = Reply()
+            reply.type = ReplyType.ERROR
+            reply.content = f"执行任务时出错: {str(e)}"
+            e_context['reply'] = reply
+            e_context.action = EventAction.BREAK_PASS
+        return
+
+    def create_llm_model(self, model_name) -> LLMModel:
+        if conf().get("use_linkai"):
+            api_base = "https://api.link-ai.tech/v1"
+            api_key = conf().get("linkai_api_key")
+        elif model_name.startswith(("gpt", "text-davinci", "o1", "o3")):
+            api_base = conf().get("open_ai_api_base") or "https://api.openai.com/v1"
+            api_key = conf().get("open_ai_api_key")
+        elif model_name.startswith("claude"):
+            return ClaudeModel(model=model_name, api_key=conf().get("claude_api_key"))
+        elif model_name.startswith("moonshot"):
+            api_base = "https://api.moonshot.cn/v1"
+            api_key = conf().get("moonshot_api_key")
+        elif model_name.startswith("qwen"):
+            api_base = "https://dashscope.aliyuncs.com/compatible-mode/v1"
+            api_key = conf().get("dashscope_api_key")
+        else:
+            api_base = conf().get("open_ai_api_base") or "https://api.openai.com/v1"
+            api_key = conf().get("open_ai_api_key")
+
+        llm_model = LLMModel(model=model_name, api_key=api_key, api_base=api_base)
+        return llm_model
+
+
+def _send_text(e_context: EventContext, content: str):
+    reply = Reply(ReplyType.TEXT, content)
+    channel = e_context["channel"]
+    channel.send(reply, e_context["context"])

plugins/agent/config-template.yaml

@@ -0,0 +1,49 @@
+# 选中的Agent Team
+team: general_team
+
+tools:
+  google_search:
+    # get your apikey from https://serper.dev/
+    api_key: "e7a21d840d6bb0ba832d850bb5aa4dee337415c4"
+
+# Team config
+teams:
+  general_team:
+    model: "qwen-plus"
+    description: "A versatile research and information agent team"
+    max_steps: 5
+    agents:
+      - name: "通用智能助手"
+        description: "Universal assistant specializing in research, information synthesis, and task execution"
+        system_prompt: "You are a versatile assistant who answers questions and completes tasks using available tools. Reply in a clearly structured, attractive and easy to read format."
+        tools:
+          - time
+          - calculator
+          - google_search
+          - browser
+          - terminal
+
+  software_team:
+    model: "gpt-4.1-mini"
+    description: "A software development team with product manager, developer and tester."
+    rule: "A normal R&D process should be that Product Manager writes PRD, Developer writes code based on PRD, and Finally, Tester performs testing."
+    max_steps: 10
+    agents:
+      - name: "Product-Manager"
+        description: "Responsible for product requirements and documentation"
+        system_prompt: "You are an experienced product manager who creates concise PRDs, focusing on user needs and feature specifications. You always format your responses in Markdown."
+        tools:
+          - time
+          - file_save
+      - name: "Developer"
+        description: "Implements code based on PRD"
+        system_prompt: "You are a skilled developer. When developing web application, you creates single-page website based on user needs, you deliver HTML files with embedded JavaScript and CSS that are visually appealing, responsive, and user-friendly, featuring a grand layout and beautiful background. The HTML, CSS, and JavaScript code should be well-structured and effectively organized."
+        tools:
+          - file_save
+      - name: "Tester"
+        description: "Tests code and verifies functionality"
+        system_prompt: "You are a tester who validates code against requirements. For HTML applications, use browser tools to test functionality. For Python or other client-side applications, use the terminal tool to run and test. You only need to test a few core cases."
+        tools:
+          - file_save
+          - browser
+          - terminal

plugins/godcmd/godcmd.py

@@ -155,7 +155,7 @@ def get_help_text(isadmin, isgroup):
     for plugin in plugins:
         if plugins[plugin].enabled and not plugins[plugin].hidden:
             namecn = plugins[plugin].namecn
-            help_text += "\n%s:" % namecn
+            help_text += "\n%s: " % namecn
             help_text += PluginManager().instances[plugin].get_help_text(verbose=False).strip()
 
     if ADMIN_COMMANDS and isadmin: