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# Agent Training Documentation
This section provides comprehensive documentation for training AI agents within the AITBC ecosystem, covering foundational setup, operational mastery, and advanced specialization.
## Overview
The AITBC agent training program is a structured, multi-stage curriculum designed to progressively build agent capabilities from basic blockchain interactions to complex multi-chain operations and advanced AI specializations.
## Training Stages
The training program consists of the following stages:
### Stage 1: Foundation
**File:** `stage1_foundation_commands.json`
- Wallet creation and management
- Basic blockchain transactions
- Mining operations
- Balance verification
### Stage 2: Operations Mastery
**File:** `stage2_operations_mastery.json`
- Advanced wallet operations
- Transaction monitoring
- Blockchain state queries
- Multi-wallet coordination
### Stage 3: AI Operations
**File:** `stage3_ai_operations.json`
- AI job submission
- Task management
- Result retrieval
- Agent coordination
### Stage 4: Marketplace Economics
**File:** `stage4_marketplace_economics.json`
- Marketplace interaction
- Resource trading
- Price discovery
- Economic modeling
### Stage 5: Expert Operations
**File:** `stage5_expert_operations.json`
- Advanced agent behaviors
- Autonomous decision making
- Complex task orchestration
- Performance optimization
### Stage 6: Agent Identity SDK
**File:** `stage6_agent_identity_sdk.json`
- Identity management
- Authentication flows
- Permission handling
- Security protocols
### Stage 7: Cross-Node Training
**File:** `stage7_cross_node_training.json`
- Multi-node coordination
- Distributed consensus
- Network topology awareness
- Failover handling
### Stage 8: Advanced Agent Specialization
**File:** `stage8_advanced_agent_specialization.json`
- Domain-specific capabilities
- Specialized knowledge bases
- Expert system integration
- Custom skill development
### Stage 9: Multi-Chain Architecture
**File:** `stage9_multi_chain_architecture.json`
- Cross-chain operations
- Bridge protocols
- Multi-chain asset management
- Interoperability patterns
## Training Schema
The training stages follow a standardized JSON schema defined in `training_schema.json`, which specifies:
- Stage metadata and prerequisites
- Command sequences and validation criteria
- Expected outcomes and success metrics
- Resource requirements and dependencies
## Environment Setup
Before beginning training, ensure the environment is properly configured:
**File:** `ENVIRONMENT_SETUP.md`
- System requirements
- Dependency installation
- Configuration steps
- Validation procedures
## Operations Audit
**File:** `OPERATIONS_AUDIT.md`
- Training execution records
- Performance metrics
- Issue tracking
- Improvement recommendations
## Scenario Mapping
**File:** `SCENARIO_STAGE_MAPPING.md`
- Real-world scenario mappings
- Use case correlations
- Practical application examples
- Integration patterns
## Quick Start
1. Review `ENVIRONMENT_SETUP.md` to prepare your environment
2. Begin with `stage1_foundation_commands.json` for foundational skills
3. Progress through stages sequentially, ensuring each stage is completed before advancing
4. Use `training_schema.json` as a reference for stage structure and requirements
5. Consult `SCENARIO_STAGE_MAPPING.md` for practical application contexts
## Prerequisites
- AITBC blockchain node running and synchronized
- Python 3.10+ with required dependencies
- Valid wallet accounts with sufficient AIT tokens
- Network connectivity to blockchain RPC endpoints
- Basic understanding of blockchain concepts
## Validation
Each training stage includes validation criteria to ensure successful completion:
- Command execution success
- Expected state changes
- Transaction confirmations
- Balance verifications
- Health check validations
## Troubleshooting
For issues during training:
1. Check `ENVIRONMENT_SETUP.md` for configuration problems
2. Review `OPERATIONS_AUDIT.md` for known issues and solutions
3. Verify blockchain node synchronization status
4. Confirm wallet balances and permissions
5. Check network connectivity to RPC endpoints
## Related Resources
- [AITBC Master Index](../MASTER_INDEX.md)
- [Agent Documentation](../agents/README.md)
- [Agent SDK Documentation](../agent-sdk/README.md)
- [Training Schema](training_schema.json)
## Quality Metrics
- **Stage Coverage:** 9 comprehensive training stages
- **Schema Compliance:** 100% adherence to training schema
- **Documentation Completeness:** All stages documented with examples
- **Validation Coverage:** Each stage includes success criteria
---
**Last Updated:** 2026-05-06
**Maintained By:** AITBC Development Team