LongTrainer v1.3.1

✨ New Features

• Tenant Rate Limiting: Two-layer execution rate limiting system using a token-bucket algorithm. Layer 1 enforces per-tenant RPM ceilings, Layer 2 enforces equal-share budgets across bots within a tenant. Fully configurable via longtrainer.yaml or RateLimitConfig.
• Per-Bot Overrides: Fine-grained rate limit overrides for specific bots via bot_overrides configuration.
• CLI Rate Limit Recovery: The longtrainer chat and longtrainer add-doc commands now auto-retry with a progress bar when rate limits are hit.
• API 429 Responses: FastAPI server returns proper 429 Too Many Requests with Retry-After headers when rate limits are exceeded.

🔧 Improvements

• Interactive Demo: Added demos/longtrainer_demo.py — a complete RAG workflow demo with live Rich progress tracking. Fully env-var driven (supports OpenAI, Gemini, Ollama, any vector store) with zero hardcoded config.
• CLI Cleanup: Reverted CLI from Rich TUI panels to clean click.echo/secho output. Removed rich>=13.0 from core dependencies.
• Removed VHS/TUI assets: Cleaned up .tape files, Makefile, and demo GIFs from the repository.

📖 Documentation

• New rate_limiting.md guide covering two-layer enforcement, YAML configuration, API error handling, and CLI auto-retry.
• Updated README with embedded demo screenshot and streamlined Quick Start section.