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aitbc/.windsurf/references/ai-operations-reference.md
aitbc fa2b90b094 refactor: clean up skills directory structure - move non-skill files to appropriate locations 
Skills Directory Cleanup:
✅ NON-SKILL FILES MOVED: Proper directory organization
- .windsurf/meta/: Moved REFACTORING_SUMMARY.md and SKILL_ANALYSIS.md from skills/
- .windsurf/templates/: Moved agent-templates.md and workflow-templates.md from skills/openclaw-aitbc/
- .windsurf/references/: Moved ai-operations-reference.md from skills/openclaw-aitbc/
- scripts/: Moved setup.sh from skills/openclaw-aitbc/

✅ DEPRECATED SKILLS ARCHIVED: Clean skills directory structure
- .windsurf/skills/archive/: Moved aitbc-blockchain.md, openclaw-aitbc.md, openclaw-management.md
- These were legacy monolithic skills replaced by atomic skills
- Archive preserves history while keeping skills directory clean

✅ SKILLS DIRECTORY NOW CONTAINS: Only atomic, production-ready skills
- aitbc-ai-operator.md: AI job submission and monitoring
- aitbc-marketplace-participant.md: Marketplace operations and pricing
- aitbc-transaction-processor.md: Transaction execution and tracking
- aitbc-wallet-manager.md: Wallet creation, listing, balance checking
- openclaw-agent-communicator.md: Agent message handling and responses
- openclaw-session-manager.md: Session creation and context management
- archive/: Deprecated legacy skills (3 files)

DIRECTORY STRUCTURE IMPROVEMENT:
🎯 Skills Directory: Contains only 6 atomic skills + archive
📋 Meta Directory: Contains refactoring analysis and summaries
📝 Templates Directory: Contains agent and workflow templates
📖 References Directory: Contains reference documentation and guides
🗂️ Archive Directory: Contains deprecated legacy skills

BENEFITS:
✅ Clean Skills Directory: Only contains actual atomic skills
✅ Proper Organization: Non-skill files in appropriate directories
✅ Archive Preservation: Legacy skills preserved for reference
✅ Maintainability: Clear separation of concerns
✅ Navigation: Easier to find and use actual skills

Result: Skills directory now properly organized with only atomic skills, non-skill files moved to appropriate locations, and deprecated skills archived for reference.
2026-03-30 17:05:12 +02:00

7.4 KiB
Raw Blame History

AITBC AI Operations Reference

AI Job Types and Parameters

Inference Jobs

# Basic image generation
./aitbc-cli ai-submit --wallet genesis-ops --type inference --prompt "Generate image of futuristic city" --payment 100

# Text analysis
./aitbc-cli ai-submit --wallet genesis-ops --type inference --prompt "Analyze sentiment of this text" --payment 50

# Code generation
./aitbc-cli ai-submit --wallet genesis-ops --type inference --prompt "Generate Python function for data processing" --payment 75

Training Jobs

# Model training
./aitbc-cli ai-submit --wallet genesis-ops --type training --model "custom-model" --dataset "training_data.json" --payment 500

# Fine-tuning
./aitbc-cli ai-submit --wallet genesis-ops --type training --model "gpt-3.5-turbo" --dataset "fine_tune_data.json" --payment 300

Multimodal Jobs

# Image analysis
./aitbc-cli ai-submit --wallet genesis-ops --type multimodal --prompt "Analyze this image" --image-path "/path/to/image.jpg" --payment 200

# Audio processing
./aitbc-cli ai-submit --wallet genesis-ops --type multimodal --prompt "Transcribe audio" --audio-path "/path/to/audio.wav" --payment 150

Resource Allocation

GPU Resources

# Single GPU allocation
./aitbc-cli resource allocate --agent-id ai-inference-worker --gpu 1 --memory 8192 --duration 3600

# Multiple GPU allocation
./aitbc-cli resource allocate --agent-id ai-training-agent --gpu 2 --memory 16384 --duration 7200

# GPU with specific model
./aitbc-cli resource allocate --agent-id ai-agent --gpu 1 --memory 8192 --duration 3600 --model "stable-diffusion"

CPU Resources

# CPU allocation for preprocessing
./aitbc-cli resource allocate --agent-id data-processor --cpu 4 --memory 4096 --duration 1800

# High-performance CPU allocation
./aitbc-cli resource allocate --agent-id ai-trainer --cpu 8 --memory 16384 --duration 7200

Marketplace Operations

Creating AI Services

# Image generation service
./aitbc-cli marketplace --action create --name "AI Image Generation" --type ai-inference --price 50 --wallet genesis-ops --description "Generate high-quality images from text prompts"

# Model training service
./aitbc-cli marketplace --action create --name "Custom Model Training" --type ai-training --price 200 --wallet genesis-ops --description "Train custom models on your data"

# Data analysis service
./aitbc-cli marketplace --action create --name "AI Data Analysis" --type ai-processing --price 75 --wallet genesis-ops --description "Analyze and process datasets with AI"

Marketplace Interaction

# List available services
./aitbc-cli marketplace --action list

# Search for specific services
./aitbc-cli marketplace --action search --query "image generation"

# Bid on service
./aitbc-cli marketplace --action bid --service-id "service_123" --amount 60 --wallet genesis-ops

# Execute purchased service
./aitbc-cli marketplace --action execute --service-id "service_123" --job-data "prompt:Generate landscape image"

Agent AI Workflows

Creating AI Agents

# Inference agent
./aitbc-cli agent create --name "ai-inference-worker" --description "Specialized agent for AI inference tasks" --verification full

# Training agent
./aitbc-cli agent create --name "ai-training-agent" --description "Specialized agent for AI model training" --verification full

# Coordination agent
./aitbc-cli agent create --name "ai-coordinator" --description "Coordinates AI jobs across nodes" --verification full

Executing AI Agents

# Execute inference agent
./aitbc-cli agent execute --name "ai-inference-worker" --wallet genesis-ops --priority high

# Execute training agent with parameters
./aitbc-cli agent execute --name "ai-training-agent" --wallet genesis-ops --priority high --parameters "model:gpt-3.5-turbo,dataset:training.json"

# Execute coordinator agent
./aitbc-cli agent execute --name "ai-coordinator" --wallet genesis-ops --priority high

Cross-Node AI Coordination

Multi-Node Job Submission

# Submit to specific node
./aitbc-cli ai-submit --wallet genesis-ops --type inference --prompt "Generate image" --target-node "aitbc1" --payment 100

# Distribute training across nodes
./aitbc-cli ai-submit --wallet genesis-ops --type training --model "distributed-model" --nodes "aitbc,aitbc1" --payment 500

Cross-Node Resource Management

# Allocate resources on follower node
ssh aitbc1 'cd /opt/aitbc && source venv/bin/activate && ./aitbc-cli resource allocate --agent-id ai-agent --gpu 1 --memory 8192 --duration 3600'

# Monitor multi-node AI status
./aitbc-cli ai-status --multi-node

AI Economics and Pricing

Job Cost Estimation

# Estimate inference job cost
./aitbc-cli ai-estimate --type inference --prompt-length 100 --resolution 512

# Estimate training job cost
./aitbc-cli ai-estimate --type training --model-size "1B" --dataset-size "1GB" --epochs 10

Payment and Earnings

# Pay for AI job
./aitbc-cli ai-pay --job-id "job_123" --wallet genesis-ops --amount 100

# Check AI earnings
./aitbc-cli ai-earnings --wallet genesis-ops --period "7d"

AI Monitoring and Analytics

Job Monitoring

# Monitor specific job
./aitbc-cli ai-status --job-id "job_123"

# Monitor all jobs
./aitbc-cli ai-status --all

# Job history
./aitbc-cli ai-history --wallet genesis-ops --limit 10

Performance Metrics

# AI performance metrics
./aitbc-cli ai-metrics --agent-id "ai-inference-worker" --period "1h"

# Resource utilization
./aitbc-cli resource utilization --type gpu --period "1h"

# Job throughput
./aitbc-cli ai-throughput --nodes "aitbc,aitbc1" --period "24h"

AI Security and Compliance

Secure AI Operations

# Secure job submission
./aitbc-cli ai-submit --wallet genesis-ops --type inference --prompt "Generate image" --payment 100 --encrypt

# Verify job integrity
./aitbc-cli ai-verify --job-id "job_123"

# AI job audit
./aitbc-cli ai-audit --job-id "job_123"

Compliance Features

  • Data Privacy: Encrypt sensitive AI data
  • Job Verification: Cryptographic job verification
  • Audit Trail: Complete job execution history
  • Access Control: Role-based AI service access

Troubleshooting AI Operations

Common Issues

  1. Job Not Starting: Check resource allocation and wallet balance
  2. GPU Allocation Failed: Verify GPU availability and driver installation
  3. High Latency: Check network connectivity and resource utilization
  4. Payment Failed: Verify wallet has sufficient AIT balance

Debug Commands

# Check AI service status
./aitbc-cli ai-service status

# Debug resource allocation
./aitbc-cli resource debug --agent-id "ai-agent"

# Check wallet balance
./aitbc-cli balance --name genesis-ops

# Verify network connectivity
ping aitbc1
curl -s http://localhost:8006/health

Best Practices

Resource Management

  • Allocate appropriate resources for job type
  • Monitor resource utilization regularly
  • Release resources when jobs complete
  • Use priority settings for important jobs

Cost Optimization

  • Estimate costs before submitting jobs
  • Use appropriate job parameters
  • Monitor AI spending regularly
  • Optimize resource allocation

Security

  • Use encryption for sensitive data
  • Verify job integrity regularly
  • Monitor audit logs
  • Implement access controls

Performance

  • Use appropriate job types
  • Optimize resource allocation
  • Monitor performance metrics
  • Use multi-node coordination for large jobs