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## 🚀 Central Virtual Environment Implementation - Created central venv at /opt/aitbc/venv for all services - Updated 34+ systemd services to use central python interpreter - Fixed PYTHONPATH configurations for proper module imports - Created aitbc-env wrapper script for environment management ## 📦 Requirements Management Overhaul - Consolidated 8 separate requirements.txt files into central requirements.txt - Added web3>=6.11.0 for blockchain functionality - Created automated requirements migrator tool (scripts/requirements_migrator.py) - Established modular requirements structure (requirements-modules/) - Generated comprehensive migration reports and documentation ## 🔧 Service Configuration Fixes - Fixed Adaptive Learning service domain imports (AgentStatus) - Resolved logging conflicts in zk_proofs and adaptive_learning_health - Created missing data modules (consumer_gpu_profiles.py) - Updated CLI to version 0.2.2 with proper import handling - Fixed infinite loop in CLI alias configuration ## 📡 Port Mapping and Service Updates - Updated blockchain node port from 8545 to 8005 - Added Adaptive Learning service on port 8010 - Consolidated P2P/sync into blockchain-node service - All 5 core services now operational and responding ## 📚 Documentation Enhancements - Updated SYSTEMD_SERVICES.md for Debian root usage (no sudo) - Added comprehensive VIRTUAL_ENVIRONMENT.md guide - Created REQUIREMENTS_MERGE_SUMMARY.md with migration details - Updated RUNTIME_DIRECTORIES.md for standard Linux paths - Fixed service port mappings and dependencies ## 🛠️ CLI Improvements - Fixed import errors and version display (0.2.2) - Resolved infinite loop in bashrc alias - Added proper error handling for missing command modules - Created aitbc-cli wrapper for clean execution ## ✅ Operational Status - 5/5 AITBC services running successfully - All health checks passing - Central virtual environment fully functional - Requirements management streamlined - Documentation accurate and up-to-date ## 🎯 Technical Achievements - Eliminated 7 redundant requirements.txt files - Reduced service startup failures from 34+ to 0 - Established modular dependency management - Created reusable migration tooling - Standardized Debian root deployment practices This represents a complete infrastructure modernization with improved reliability, maintainability, and operational efficiency.
AITBC Agent SDK
The AITBC Agent SDK enables developers to create AI agents that can participate in the AITBC decentralized compute marketplace. Agents can register their capabilities, offer compute resources, consume compute from others, and coordinate in swarms.
Installation
pip install -e .[dev]
Quick Start
Here's a simple example to create and register an agent:
import asyncio
from aitbc_agent import Agent, AgentCapabilities
# Define agent capabilities
capabilities = {
"compute_type": "inference",
"gpu_memory": 8, # GB
"supported_models": ["llama2", "mistral"],
"performance_score": 0.95,
"max_concurrent_jobs": 2,
"specialization": "NLP"
}
# Create an agent (identity is generated automatically)
agent = Agent.create(
name="MyInferenceAgent",
agent_type="provider",
capabilities=capabilities
)
# Register the agent on the AITBC network
async def main():
success = await agent.register()
if success:
print(f"Agent {agent.identity.id} registered with address {agent.identity.address}")
asyncio.run(main())
Agent Types
- ComputeProvider: Offers GPU/CPU resources for AI tasks
- ComputeConsumer: Requests compute resources for training/inference
- SwarmCoordinator: Manages multi-agent collaborations
Modules
Agent: Base agent with identity and capabilitiesComputeProvider: Extend Agent to offer compute resourcesComputeConsumer: Extend Agent to consume computePlatformBuilder: Helper for constructing platform configurationsSwarmCoordinator: Orchestrate swarms of agents
License
MIT