feat: Provider model_settings 全链路 + 监管节点工具集 + 重型插件注入 + 前端打磨

- Provider model_settings (Provider+Model 级别参数配置): DB JSONB → API → GSM → AgentFactory.resolve → 三节点 agent.run 注入
- 新增 data/toolset/regulatory_toolset/: 监管节点专属工具（query_workflow_status / query_task_list / send_file）
- send_file 从 interactive_toolset 迁移至 regulatory_toolset，interactive 仅保留 approval
- mcp_helper 合入 GlobalPluginManager dispatch tools
- 前端 Provider 弹窗参数设置区加 JSON 编辑器（model_settings）
- 前端 Plugin 页面新增"重型插件"Tab（HeavyPluginList 占位）
- .gitignore 精简：去除系统默认项，修复 data/ 子目录追踪
- data/toolset/ 与 data/plugin/ 首次纳入版本控制

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

kilostar/core/individual/consciousness_node/consciousness_node.py

@@ -40,6 +40,7 @@ class ConsciousnessNode:
         self.logger = get_logger("consciousness_node")
         self.agent: None | Agent = None
         self.locale: str = "zh"
+        self._model_settings: dict = {}
 
     async def create_agent(
         self,
@@ -73,6 +74,7 @@ class ConsciousnessNode:
             tools=tools,
             toolsets=toolsets,
         )
+        self._model_settings = AgentFactory.resolve_model_settings(provider, model_id)
 
         @self.agent.system_prompt
         async def dynamic_prompt(ctx: RunContext[ConsciousnessNodeDeps]):
@@ -221,7 +223,7 @@ class ConsciousnessNode:
                 )
                 self.logger.debug("ConsciousnessNode: 开始生成工作流 (原生重试开启)")
                 prompt = "根据original_command制定严密的可执行workflow"
-                result = await self.agent.run(prompt, deps=deps)
+                result = await self.agent.run(prompt, deps=deps, model_settings=self._model_settings or None)
                 return result.output
 
             elif isinstance(payload, ForWorkflowInput):
@@ -236,6 +238,7 @@ class ConsciousnessNode:
                 result = await self.agent.run(
                     f"处理此工作流步骤信息：\n{payload.workflow_step.model_dump_json()}",
                     deps=deps,
+                    model_settings=self._model_settings or None,
                 )
                 return result.output
 
@@ -251,6 +254,7 @@ class ConsciousnessNode:
                 result = await self.agent.run(
                     f"基于以下工作流的执行记录，生成技术报告：\n{payload.workflow.model_dump_json()}",
                     deps=deps,
+                    model_settings=self._model_settings or None,
                 )
                 return result.output
         except Exception as e: