Feat/UI updates

[neo7337]

This pull request significantly expands and clarifies the Go Initializer documentation, with a particular focus on AI Agent project support, LLM provider integration, add-ons (especially for AI and vector stores), and API usage. The documentation now provides comprehensive guides and reference material for users generating AI-powered Go projects, including detailed environment variable usage, workflow patterns, and add-on configuration.

Major documentation improvements:

• Added a full AI Agent project guide, including project structure, LLM provider setup, tool integration, vector store usage, workflow patterns, and Docker deployment.
• Updated the API reference to document new project types, LLM provider selection, add-on options (including vector stores), and example payloads for AI Agent generation.
• Extended framework comparison docs to include LLM provider options for AI Agent projects, with usage examples and provider comparison tables.
• Expanded the add-ons documentation with detailed sections for the AI and vector store add-ons, including code snippets and best practices.
• Updated the introduction to reflect new project types, especially AI Agent, and clarified the purpose and capabilities of each type. [1] [2]

Key changes by theme:

AI Agent and LLM Provider Documentation

• Added frontend/public/docs/ai-agent.md as a comprehensive guide for AI Agent projects, covering structure, configuration, LLM providers, tool and vector store integration, workflow orchestration, and Dockerization.
• Updated frontend/public/docs/frameworks.md to explain the LLM provider selector for AI Agent projects, including LangChainGo, OpenAI, Gemini, and Ollama, with code samples and comparison tables.

API Reference Enhancements

• Expanded frontend/public/docs/api-reference.md to document the new AI Agent project type, vector store add-ons, and detailed request/response examples for generating both standard and AI Agent projects.

Add-on System Documentation

• Enhanced frontend/public/docs/how-to-addons.md with detailed sections for the AI add-on (LangChainGo client), vector store add-ons (pgvector, chromem, Qdrant), and their usage patterns, including infrastructure notes and code snippets.

Introduction and Project Type Clarification

• Updated frontend/public/docs/introduction.md to reflect new project types, especially AI Agent, and expanded the project type table and add-on capabilities. [1] [2]

These changes provide users with clear, actionable documentation for generating and deploying AI-powered Go projects with Go Initializer, supporting a range of LLM providers and vector store integrations.