- Add Stage 10 (Failure Recovery) and Stage 11 (Agent Communication) to training README
- Update stage coverage from 9 to 11 comprehensive training stages
- Update last modified date to 2026-05-07
- Replace atomic-swap CLI commands with contract deploy and call commands in scenario 42
- Add contract deployment steps for CrossChainAtomicSwap on both chains
- Update initiateSwap, completeSwap, get
- Use /var/lib/aitbc/agent_coordinator.db for persistent storage
- Add agents and agent_assignments tables to database schema
- Implement agent registration endpoint with capabilities and services
- Add agent discovery endpoint with filtering by type, capabilities, and services
- Implement agent status updates and heartbeat mechanism
- Add task-to-agent assignment with least_connections load balancing strategy
- Update
Add real-time AITBC service log monitoring command to Stage 10:
- Added journalctl -fu aitbc-* to JSON examples (monitors all AITBC services)
- Added to output_stage_learnings() commands list
- Updated pitfalls to mention journalctl as primary log monitoring tool
This command provides real-time monitoring of all AITBC services
(blockchain-node, agent-coordinator, etc.) in a single view.
Address Hermes-identified training gaps with new advanced stage:
Stage 10 covers:
- Transaction failure debugging (nonce too low, insufficient funds)
- Node failure recovery procedures
- Wallet backup and restore operations
- Production monitoring (metrics, logs, health checks)
- Advanced debugging tools (mempool inspection, transaction tracing)
- Backup and restore procedures (database, configuration)
- Network partition handling
Implementation:
- Created stage10_failure_recovery.sh with output_stage_learnings()
- Created stage10_failure_recovery.json with 7 sections covering failure scenarios
- Updated master_training_launcher.sh to include stage10 in get_stage_name()
- Updated stage selection prompts to allow [0-10]
- Updated --stage and --with-skill-update validation for stage 10
- Added stage 10 to playground menu stage list
Training-to-skill pipeline verified:
- Learnings JSON created successfully
- Certificate generated
- capture_learnings() validates and reports to Hermes agent
Note: Python training setup JSON execution has structure mismatch
(missing 'title' field), but stage completes successfully and
learnings are captured via output_stage_learnings().
Changes:
- Fix certificate viewing display issue in master_training_launcher.sh
- Use array to store certificate files for reliable iteration
- Add error handling for read command
- Ensure CERT_DIR exists before checking for certificates
- Fix certificate selection using array index instead of head/tail
- Add wallet funding script (scripts/training/fund_wallet.sh)
- Fund wallets from genesis using genesis password
- Reads password from /var/lib/aitbc/keystore/.genesis_password
- Verifies genesis balance before funding
- Shows transaction hash and wallet balance after funding
- Add wallet funding documentation (docs/agent-training/WALLET_FUNDING.md)
- Genesis wallet details and password location
- Quick funding script usage
- Manual funding with AITBC CLI
- Faucet service information
- Common training wallets
- Troubleshooting guide
- Security notes
- Move validate_stage_dependencies.py to scripts/training/
- Move generate_prerequisite_checks.py to scripts/training/
- Scripts/training is the standard location for training-related scripts
Prerequisite Checker Script:
- Create generate_prerequisite_checks.py for validating stage dependencies
- Checks stage order (depends_on stages must come before current stage)
- Checks resource dependencies (resource_depends references valid stages)
- Checks wallet_balance placement (must appear before wallet+password operations)
- Checks currency fields (operations with amount/price must have currency)
- Generates bash prerequisite scripts for individual stages
Stage Fixes:
- Add currency field to transaction_send in stage1_foundation.json
- Remove stage4_marketplace_economics from stage3_ai_operations depends_on (circular dependency)
Validation:
- All stages (0-9) now pass prerequisite validation
- Script can be run: python3 docs/agent-training/generate_prerequisite_checks.py docs/agent-training
Stage 0: Environment Setup:
- Create stage0_environment_setup.json with genesis wallet validation
- Add genesis_wallet_check, genesis_password_check, genesis_balance_check operations
- Add node_connectivity_check, peer_connectivity_check operations
- Update training_schema.json to include stage0_environment_setup in enum
Scenario Mappings:
- Update SCENARIO_STAGE_MAPPING.md to include Stage 0
- Add Stage 0 operations and purpose documentation
- Update current stage status for Stages 8 and 9 (both created)
- Mark Priority 1 and Priority 2 as completed in integration priority section
Schema enhancements:
- Add requires_balance_check property for operations with wallet+password
- Add requires_currency property for operations with amount/price parameters
- Add creates_resource property for operations that create IDs
- Add requires_resource property for operations that require IDs
Validation script:
- Create validate_stage_dependencies.py to check:
- Operations with wallet+password have wallet_balance check before them
- Operations with amount/price parameters have currency field
- Operations requiring resources have corresponding create operations
Stage fixes:
- Stage 2: Add wallet_balance check at beginning, add currency to wallet_send and staking_stake
- Stage 3: Add wallet_balance check at beginning, add market_gpu_register for listing_id dependency
- Update RESOURCE_CREATORS to handle multiple resources per operation
- Add multi_chain_island_setup as island_id creator for Stage 9
- Update workflow paths from docs/openclaw to docs/hermes
- Rename skill prefixes from openclaw-* to hermes-*
- Update agent skill references in refactoring and analysis docs
- Rename OPENCLAW_AITBC_MASTERY_PLAN.md to reflect hermes branding
- Update CLI examples and command references throughout documentation
- Add currency field (AIT) to all pricing parameters (market_gpu_register, market_bid, market_sell)
- Fix market_bid to reference gpu_id instead of listing_id (GPU-specific)
- Fix market_buy to reference gpu_id instead of listing_id for consistency
- Add market_my-listings operation to check seller's own listings
- Add economics_model operation for price prediction (model_type, features)
- Add wallet_balance check at beginning of marketplace operations
- Add stage4_marketplace_economics to depends_on (AI operations need GPU listings from marketplace)
- Make ai_training_agent operation optional (gpu_listing may not exist)
- Add resource_depends field to training_schema.json for cross-stage resource dependencies
- Add ai_jobs check after ai_submit to verify job appears in listing
- Add finetune_status polling after finetune_submit for job monitoring
- Add depends_on validation documentation to training_schema.json (verify prerequisite stages mastered)
- Add performance validation to network_ping (max_latency_ms: 100)
- Add wallet_balance check after wallet_send to verify transaction deduction
- Add mining_rewards verification after mining_stop to confirm rewards collected
- Move wallet_delete to end of operations array to prevent subsequent operations from failing
- Add curriculum fields to stages 7, 8, 9 (difficulty, skill_level, depends_on, skills, objectives)
- Add missing agent types to README (specialized, architect)
- Fix schema inconsistency in ENVIRONMENT_SETUP.md - update example to use official training_schema.json format
- Fix Stage 1 integration test - remove wallet_fund from operations, use existing operations
- Make messaging_send operation optional in Stage 1 (messaging configuration is optional per ENVIRONMENT_SETUP.md)
- Update scenario references in all stage files to point to correct directory (/docs/scenarios/)
- Add agent type definitions section to README.md (coordinator, genesis, follower, wallet, general)
- Clarify setup_method in Training Schema section - stages use Python-based setup system (aitbc.training_setup module) rather than individual shell scripts
- Fix Python version requirement from 3.10+ to 3.13.5 in Prerequisites
- Add skills field to training schema
- Add skill_level field to training schema (novice/apprentice/practitioner/expert/master)
- Add objectives field to training schema
- Add certifications field to training schema
- Add curriculum fields to stage1_foundation.json (skills, skill_level, objectives, certification)
- Add curriculum fields to stage2_operations_mastery.json (skills, skill_level, objectives, certification)
- Add curriculum fields to stage3_ai_operations.json (skills, skill_level, objectives)
- Add curriculum fields to stage4_marketplace_economics.json (skills, skill_level, objectives)
- Add curriculum fields to stage5_expert_operations.json (skills, skill_level, objectives)
- Add curriculum fields to stage6_agent_identity_sdk.json (skills, skill_level, objectives)
- Add integration_tests field to validation section
- Add coverage_target field for test coverage percentage
- Add coverage_report field for coverage reporting
- Add mock_data section with wallets, addresses, transactions
- Add integration test example to stage1_foundation.json
- Add coverage target and report to stage1_foundation.json
- Add mock data example to stage1_foundation.json
- Add examples field to operation schema (CLI command examples)
- Add errors field to operation schema (expected errors and resolution)
- Add verify field to operation schema (verification commands)
- Add resources field to operation schema (learning resource links)
- Add documentation examples to wallet_create operation in stage1_foundation.json
- Add idempotent field to operation schema
- Add check_exists field for resource existence validation
- Add verify_on_chain flag for transaction verification
- Add confirmations_required field for block confirmations
- Add timeout_seconds field for on-chain verification timeout
- Add retry configuration (max_attempts, backoff_seconds, retryable_errors)
- Add max_memory_mb to performance metrics
- Add validation examples to wallet_create operation (idempotent, check_exists, performance)
- Add validation examples to transaction_send operation (verify_on_chain, retry, performance)
- Add depends_on field to training schema for stage dependencies
- Add difficulty field to training schema (beginner/intermediate/advanced/expert)
- Add estimated_time_minutes field to training schema
- Add structural fields to stage1_foundation.json (beginner, 30min, no dependencies)
- Add structural fields to stage2_operations_mastery.json (beginner, 45min, depends on stage1)
- Add structural fields to stage3_ai_operations.json (intermediate, 60min, depends on stage2)
- Add structural fields to stage4_marketplace_economics.json (intermediate, 60min, depends on stage2)
- Add structural fields to stage5_expert_operations.json (advanced, 90min, depends on stage3, stage4)
- Add structural fields to stage6_agent_identity_sdk.json (advanced, 75min, depends on stage5)
- Create HERMES_LEARNING_PROMPT.md with comprehensive learning instructions
- Update README.md with Hermes-specific learning instructions
- Add interactive prompts for Hermes to provide debug messages and suggestions
- Structure learning process across 9 training stages with feedback protocol
- Add aitbc2 blockchain node access documentation via gitea-runner SSH
- Fix wallet send command syntax to use proper --wallet-name flag format
- Update stage1 training commands to include --fee and --password parameters
- Switch from faucet wallet to proposer wallet for funding
- Proposer is the current PoA proposer and valid signer
- Send 1M AIT from genesis to proposer first
- Send 100 AIT from proposer to training-w1
- Increased sleep times to 15s for transaction confirmation
Replaced direct AITBC CLI command execution with OpenClaw agent-based execution that respects the allowlist:
- Changed openclaw_training_operations to execute commands via `openclaw agent --message` instead of direct CLI calls
- Removed operation-specific command building logic (wallet_create, genesis_init, etc.)
- Simplified execution flow to single OpenClaw agent invocation with prompt message
- Added prerequisites
Added comprehensive agent training functionality that executes actual AITBC CLI commands:
- Renamed openclaw_operations to openclaw_training_operations in aitbc_cli.py
- Added train action with agent/validate/certify subcommands to openclaw_operations
- Implemented agent training that loads JSON training data and executes real CLI commands
- Added operation mapping for wallet, blockchain, messaging, and system commands
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