VT - Minimal AI Chat Platform with Generative AI & Deep Learning
Minimal AI Chat Platform with generative AI, deep learning, and natural language processing (NLP). Experience artificial intelligence with large language models (LLMs), machine learning, and real-time AI processing. Privacy-first AI systems for specific tasks requiring human intelligence.
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# vtchat
> Privacy-first AI chat application with subscription tiers, MCP integration, and multiple AI model support. Built as a Turborepo monorepo with Next.js 14, TypeScript, and a comprehensive agentic system.
vtchat is an AI chat application featuring free and premium tiers (VT+), with exclusive research capabilities including Deep Research, Pro Search. The codebase follows minimal design principles with Oracle consultation workflow for all changes.
## Core Documentation
- [README.md](README.md): Project overview, features, tech stack, and setup instructions
- [AGENT.md](AGENT.md): Development guidelines, code style, Oracle workflow, and best practices
- [docs/SECURITY.md](docs/SECURITY.md): Comprehensive security implementation
- [docs/FINAL-RELEASE-NOTES.md](docs/FINAL-RELEASE-NOTES.md): Complete feature summary of production launch
- [docs/FINAL-PROJECT-REPORT.md](docs/FINAL-PROJECT-REPORT.md): Business and technical deep-dive analysis
## Architecture & Structure
- [apps/web/](apps/web/): Next.js 14 application with App Router
- [packages/ai/](packages/ai/): Agentic Graph System supporting OpenAI, Anthropic, Google, Groq
- [packages/common/](packages/common/): Shared React components and hooks
- [packages/shared/](packages/shared/): Types, constants, utilities, and Pino logger
- [packages/ui/](packages/ui/): shadcn/ui-based component library
- [packages/actions/](packages/actions/): Server Action layer for feedback and telemetry
- [packages/orchestrator/](packages/orchestrator/): Workflow engine and multi-tool orchestration
## Development Guides
- [docs/guides/](docs/guides/): Step-by-step development guides
- [docs/production-deployment-checklist.md](docs/production-deployment-checklist.md): Production deployment requirements
- [docs/production-monitoring-setup.md](docs/production-monitoring-setup.md): Monitoring and observability setup
## API & Technical Reference
- [packages/ai/src/](packages/ai/src/): Provider adapters, tool router, and prompt logic