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- Add status fields to Receipt model (status, claimed_at, claimed_by) - Add RECEIPT_CLAIM handling to state_transition.py with validation and reward minting - Add type field to Transaction model for reliable transaction type storage - Update router to use TransactionRequest model to preserve type field - Update poa.py to extract type from mempool transaction content and store only original payload - Add RECEIPT_CLAIM to GasType enum with gas schedule
5.4 KiB
5.4 KiB
description, title, version
| description | title | version |
|---|---|---|
| Atomic AITBC AI job operations with deterministic monitoring and optimization | aitbc-ai-operator | 1.1 |
AITBC AI Operator
Purpose
Submit, monitor, and optimize AITBC AI jobs with deterministic performance tracking and resource management.
Activation
Trigger when user requests AI operations: job submission, status monitoring, results retrieval, or resource optimization.
Input
{
"operation": "submit|status|results|list|optimize|cancel",
"wallet": "string (for submit/optimize)",
"job_type": "inference|training|multimodal|ollama|streaming|monitoring",
"prompt": "string (for submit)",
"payment": "number (for submit)",
"job_id": "string (for status/results/cancel)",
"agent_id": "string (for optimize)",
"cpu": "number (for optimize)",
"memory": "number (for optimize)",
"gpu": "number (for optimize)",
"duration": "number (for optimize)",
"limit": "number (optional for list)",
"model": "string (optional for ollama jobs, e.g., llama2, mistral)",
"provider_id": "string (optional for GPU provider selection)",
"endpoint": "string (optional for custom Ollama endpoint)",
"batch_file": "string (optional for batch operations)",
"parallel": "number (optional for parallel job count)"
}
Output
{
"summary": "AI operation completed successfully",
"operation": "submit|status|results|list|optimize|cancel",
"job_id": "string (for submit/status/results/cancel)",
"job_type": "string",
"status": "submitted|processing|completed|failed|cancelled",
"progress": "number (0-100)",
"estimated_time": "number (seconds)",
"wallet": "string (for submit/optimize)",
"payment": "number (for submit)",
"result": "string (for results)",
"jobs": "array (for list)",
"resource_allocation": "object (for optimize)",
"performance_metrics": "object",
"issues": [],
"recommendations": [],
"confidence": 1.0,
"execution_time": "number",
"validation_status": "success|partial|failed"
}
Process
1. Analyze
- Validate AI job parameters
- Check wallet balance for payment
- Verify job type compatibility
- Assess resource requirements
2. Plan
- Calculate appropriate payment amount
- Prepare job submission parameters
- Set monitoring strategy for job tracking
- Define optimization criteria (if applicable)
3. Execute
- Execute AITBC CLI AI command
- Capture job ID and initial status
- Monitor job progress and completion
- Retrieve results upon completion
- Parse performance metrics
4. Validate
- Verify job submission success
- Check job status progression
- Validate result completeness
- Confirm resource allocation accuracy
Constraints
- MUST NOT submit jobs without sufficient wallet balance
- MUST NOT exceed resource allocation limits
- MUST validate job type compatibility
- MUST monitor jobs until completion or timeout (300 seconds)
- MUST set minimum payment based on job type
- MUST validate prompt length (max 4000 characters)
Environment Assumptions
- AITBC CLI accessible at
/opt/aitbc/aitbc-cli - AI services operational (Ollama, exchange, coordinator)
- Ollama endpoint accessible at
http://localhost:11434or custom endpoint - GPU provider marketplace operational for resource allocation
- Sufficient wallet balance for job payments
- Resource allocation system operational
- Job queue processing functional
- Ollama models available: llama2, mistral, codellama, etc.
- GPU providers registered with unique p2p_node_id for P2P connectivity
Error Handling
- Insufficient balance → Return error with required amount
- Invalid job type → Return job type validation error
- Service unavailable → Return service status and retry recommendations
- Job timeout → Return timeout status with troubleshooting steps
Example Usage Prompt
Submit an AI job for customer feedback analysis using multimodal processing with payment 500 AIT from trading-wallet
Expected Output Example
{
"summary": "Multimodal AI job submitted successfully for customer feedback analysis",
"operation": "submit",
"job_id": "ai_job_1774883000",
"job_type": "multimodal",
"status": "submitted",
"progress": 0,
"estimated_time": 45,
"wallet": "trading-wallet",
"payment": 500,
"result": null,
"jobs": null,
"resource_allocation": null,
"performance_metrics": null,
"issues": [],
"recommendations": ["Monitor job progress for completion", "Prepare to analyze multimodal results"],
"confidence": 1.0,
"execution_time": 3.1,
"validation_status": "success"
}
Model Routing Suggestion
Fast Model (Claude Haiku, GPT-3.5-turbo)
- Job status checking
- Job listing
- Result retrieval for completed jobs
Reasoning Model (Claude Sonnet, GPT-4)
- Job submission with optimization
- Resource allocation optimization
- Complex AI job analysis
- Error diagnosis and recovery
Coding Model (Claude Sonnet, GPT-4)
- AI job parameter optimization
- Performance tuning recommendations
- Resource allocation algorithms
Performance Notes
- Execution Time: 2-5 seconds for submit/list, 10-60 seconds for monitoring, 30-300 seconds for job completion
- Memory Usage: <200MB for AI operations
- Network Requirements: AI service connectivity (Ollama, exchange, coordinator)
- Concurrency: Safe for multiple simultaneous jobs from different wallets
- Resource Monitoring: Real-time job progress tracking and performance metrics