Kasal Agentic Builder App (legacy）

**Use Case Examples**
💰 Intelligent Sales Pipeline: Deploy a lead enrichment agent to gather prospect data, a scoring agent to qualify leads, and an outreach agent to craft personalized emails — automatically turning raw leads into qualified opportunities.

**Key Features**
- 🎨 Visual Workflow Designer - Drag-and-drop canvas for building sophisticated AI agent workflows
- 🤖 Intelligent Agent Teams - Create specialized agents that collaborate autonomously to solve complex tasks
- 📚 Agent Catalog - Browse and reuse pre-built agents with proven roles and capabilities
- 📋 Task Catalog - Access a library of optimized task templates for common workflows
- 👥 Crew Catalog - Deploy tested agent team configurations for specific use cases
- ⚡ Real-time Execution - Monitor live workflow progress with detailed performance insights
- 🔧 70+ Built-in Tools - Extensive toolkit including Databricks Genie, web scrapers, and data connectors
- 🔌 MCP Integration - Connect to thousands of tools via Model Context Protocol (MCP) servers and Databricks MCP ecosystem
- 🚀 REST API Layer - Execute your created agents and workflows programmatically via secure API endpoints
- 🔒 Enterprise Security - Multi-tenant architecture with role-based access control and OAuth integration
- 🗓️ Automated Scheduling - Set up recurring workflows with intelligent error handling and retry logic
- 🔗 Multi-LLM Support - Seamlessly integrate with various LLM models be it fine tune models or frontier models.

**用例示例**
💰 智能销售管线：部署潜在客户富集智能体（Agent）以采集潜在客户数据，配置资质评分智能体完成线索定级，并搭建外展智能体撰写个性化邮件，从而自动将原始销售线索转化为合格商机。

**核心功能**
- 🎨 可视化工作流设计器：采用拖拽式画布搭建复杂的AI智能体工作流
- 🤖 智能体协作集群：创建专业化智能体，使其自主协作以解决复杂任务
- 📚 智能体库：浏览并复用具备成熟角色与功能的预制智能体
- 📋 任务模板库：提供适配通用工作流的优化任务模板合集
- 👥 智能体团队配置库：部署针对特定用例经过验证的智能体团队配置方案
- ⚡ 实时执行监控：依托详尽的性能洞察数据，实时追踪工作流运行进度
- 🔧 70+ 内置工具：涵盖Databricks Genie、网页爬虫与数据连接器在内的丰富工具集
- 🔌 模型上下文协议（MCP）集成：通过模型上下文协议（Model Context Protocol）服务器与Databricks MCP生态系统，对接数千款第三方工具
- 🚀 REST API 接口层：通过安全API端点以编程方式执行已创建的智能体与工作流
- 🔒 企业级安全防护：采用多租户架构，支持基于角色的访问控制与OAuth集成
- 🗓️ 自动化调度：支持配置周期性工作流，内置智能错误处理与重试机制
- 🔗 多大语言模型（Large Language Model, LLM）支持：可无缝集成各类大语言模型，涵盖微调模型与前沿旗舰模型