# AI Ticket Platform

AI-native technical support ticket system for single-enterprise private deployment.

The product centers on support tickets and business knowledge, with configurable Agents, Skills, MCP tools, model gateway, vector retrieval, and enterprise audit controls.

## Current Status

Active implementation. The project has a runnable Django + React baseline with enterprise governance, ticket and knowledge workflows, an administrator-facing AI configuration workspace, and the first trusted ticket-intake loop: natural-language drafting, missing-field completion, explicit review, idempotent confirmation, MinIO-backed images, artifacts, and audit history. The real text-model workflow passed locally; real vision-model acceptance remains pending.

Key docs:

- [Project blueprint](docs/product/blueprint.md)
- [Capability status](docs/product/capability-status.md)
- [Design discussion log](docs/communication/2026-06-30-ai-ticket-platform-discussion-log.md)
- [Local setup](docs/development/local-setup.md)
- [AI platform demo acceptance](docs/development/ai-platform-demo-acceptance.md)
- [Trusted ticket intake acceptance](docs/development/ticket-intake-acceptance.md)
- [Frontend design system](docs/frontend/design-system.md)

## Target Stack

- Backend: Django, Django Ninja, PostgreSQL, pgvector, Redis, Celery, MinIO
- Frontend: React, Vite, Tailwind CSS, shadcn/ui, Radix UI, TanStack Table
- AI: OpenAI Python SDK-compatible provider adapter, model gateway, vector retrieval, MCP client
- Deployment: Docker Compose first