feat(evoai): add EvoAI integration with models, services, and routes

[gomessguii]

• Introduced Evoai and EvoaiSetting models in both MySQL and PostgreSQL schemas.
• Implemented EvoaiController and EvoaiService for managing EvoAI bots.
• Created EvoaiRouter for handling API requests related to EvoAI.
• Added DTOs and validation schemas for EvoAI integration.
• Updated server module and chatbot controller to include EvoAI functionality.
• Configured environment settings for EvoAI integration.

Summary by Sourcery

Add full EvoAI integration by introducing models, services, controllers, routes, DTOs, and validation schemas, and integrating EvoAI into the main chatbot flow with configuration support.

New Features:

• Add Evoai and EvoaiSetting Prisma models in both MySQL and PostgreSQL schemas
• Implement CRUD API endpoints for EvoAI bots, settings, sessions, and ignore lists under /evoai
• Create EvoAI service to process messages, manage sessions, and handle API interactions with EvoAI agents
• Integrate EvoAI into the ChatbotController emit flow and register EvoAI routes in the main router

Enhancements:

• Add EVOAI feature flag in environment configuration and update the sample .env.example
• Register EvoAI service and controller in the server module
• Add DTO classes and JSON schema validation for EvoAI integration

[sourcery-ai]

Reviewer's Guide

This PR implements full EvoAI integration by extending configuration, registering new services/controllers, enhancing the chatbot flow, defining Prisma models, and adding dedicated controller, service, router, DTOs, and validation schemas to manage EvoAI bots, settings, sessions, and message processing.

File-Level Changes

Change	Details	Files
Environment configuration for EvoAI	Added Evoai type to env config and Env interface Configured ConfigService to load EVOAI_ENABLED flag	src/config/env.config.ts
Module registration and initialization	Instantiated EvoaiService and EvoaiController in server module Integrated EvoAI controller into startup logger	src/api/server.module.ts
Chatbot integration hooks	Triggered evoaiController.emit in chatbot controller Mounted EvoaiRouter in chatbot router Exported EvoAI schema in chatbot validation schema	src/api/integrations/chatbot/chatbot.controller.ts src/api/integrations/chatbot/chatbot.router.ts src/api/integrations/chatbot/chatbot.schema.ts
Prisma schema updates	Defined Evoai and EvoaiSetting models in MySQL schema Defined Evoai and EvoaiSetting models in PostgreSQL schema	prisma/mysql-schema.prisma prisma/postgresql-schema.prisma
EvoAI controller implementation	Implemented CRUD methods for bots Added settings and session management Enhanced emit logic with debounce and fallback handling	src/api/integrations/chatbot/evoai/controllers/evoai.controller.ts
EvoAI service implementation	Managed session lifecycle and telemetry Constructed JSON-RPC payloads and handled file parts Processed messages and media through WhatsApp client	src/api/integrations/chatbot/evoai/services/evoai.service.ts
EvoAI routing layer	Defined endpoints for bot operations, settings, sessions, and ignoreJid Applied request validation and standardized HTTP status codes	src/api/integrations/chatbot/evoai/routes/evoai.router.ts
DTOs and validation schemas	Created EvoaiDto and EvoaiSettingDto classes Added JSON schemas for bot, status, settings, and ignoreJid	src/api/integrations/chatbot/evoai/dto/evoai.dto.ts src/api/integrations/chatbot/evoai/validate/evoai.schema.ts

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