aitbc 3897bcbf24
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refactor: move version to separate module and improve logging
- Created aitbc/_version.py with centralized version definition
- Updated aitbc/__init__.py to import __version__ from _version module
- Updated constants.py to use __version__ for PACKAGE_VERSION
- Replaced print() calls with logger in decorators.py, events.py, queue_manager.py, and state.py
- Added logger initialization using get_logger(__name__) in config.py, decorators.py, events.py, queue_manager.py, and state.py
- Added cli/commands
2026-05-11 20:12:01 +02:00

AITBC - Advanced Intelligence Training Blockchain Consortium

Implemented Features

Blockchain Infrastructure

  • Multi-chain support with chain isolation
  • PoA consensus with configurable validators
  • Adaptive sync with tiered batch sizing (10K+ blocks: 500-1000 batch)
  • Hybrid block generation with skip empty blocks and 60s heartbeat
  • Force sync for manual blockchain synchronization
  • Chain export/import for backup and recovery
  • State root computation and validation
  • Gossip network with Redis backend
  • NAT traversal with STUN-based public endpoint discovery
  • Multi-node federation with independent islands and hub discovery

AI & Agent Systems

  • Hermes agent communication with blockchain integration
  • AI engine for autonomous agent operations
  • Agent services including registry, compliance, protocols, and trading
  • Agent daemon with systemd integration
  • Cross-node agent messaging support

Marketplace & Exchange

  • GPU marketplace for compute resources
  • Exchange platform with cross-chain trading
  • Trading engine for order matching
  • Pool hub for resource pooling
  • Marketplace-blockchain payment integration

CLI & Tools

  • Unified CLI with 50+ command groups
  • 100% test coverage for CLI commands
  • Modular handler architecture for extensibility
  • Bridge commands for blockchain event bridging
  • Account management commands

Security & Monitoring

  • JWT authentication with role-based access control
  • Multi-sig wallets with time-lock support
  • Prometheus metrics and alerting
  • SLA tracking and compliance monitoring
  • Encrypted keystores for secure key management

Testing & CI/CD

  • Comprehensive test suite with 100% success rate
  • Standardized venv caching with corruption detection
  • Automated CI/CD with Gitea workflows
  • Security scanning optimized for changed files
  • Cross-node verification tests

Documentation

Documentation

Description
No description provided
Readme MIT 158 MiB
Languages
Python 69%
Shell 16.4%
JavaScript 5.8%
TypeScript 5.5%
Assembly 1%
Other 2.2%