- create-next-app with TypeScript, Tailwind v4, App Router
- Port design-system.css tokens into Tailwind @theme (navy/gold/parchment, Heebo)
- Install TanStack Query, react-hook-form, zod, lucide-react, react-dropzone
- layout.tsx: RTL Hebrew + Heebo via next/font/google
- AppShell component with navy header + gold rule + nav
- next.config.ts: output:standalone + rewrites to proxy /api/* to production FastAPI
- Dockerfile: multi-stage Node 20 Alpine build for Next.js standalone
(branch-local override of the FastAPI Dockerfile; main is unaffected)
- Switch .taskmaster to claude-code provider (no API key required)
- Add 7 phase tasks (83-89) tracking the full rewrite plan
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Removed din-leumi imports, endpoints, and processing from app.py
- Removed bundled din-leumi source from repo
- Simplified Dockerfile (no din-leumi dependency)
- din-leumi now runs as its own Coolify application
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Removes GITEA_TOKEN dependency from build by copying din-leumi
MCP server source directly into the Docker context.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
New endpoints: outcome, direction, claims, QA validation, learning loop,
document text retrieval. Updated Dockerfile and project documentation.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Coolify requires curl or wget in the container for HTTP healthchecks.
Removed custom HEALTHCHECK instruction - Coolify manages it via UI settings.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Coolify requires curl/wget for HTTP healthchecks on Dockerfile deployments,
but the python:3.12-slim image doesn't include them. Use python3 urllib instead.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Ezer Mishpati - AI legal decision drafting system with:
- MCP server (FastMCP) with document processing pipeline
- Web upload interface (FastAPI) for file upload and classification
- pgvector-based semantic search
- Hebrew legal document chunking and embedding
