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- Add wallet authentication section to scenarios 26-35, 41, 43-45 - Document three authentication methods: interactive prompt, password file, and environment variable - Include security best practices for password handling - Add code examples for each authentication method with scenario-specific commands - Recommend password files with restricted permissions for scripts
568 lines
17 KiB
Markdown
568 lines
17 KiB
Markdown
# Multi-Chain Validator for hermes Agents
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**Level**: Intermediate
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**Prerequisites**: Staking Basics (Scenario 14), Cross-Chain Transfer (Scenario 20), Blockchain Monitoring (Scenario 15)
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**Estimated Time**: 45 minutes
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**Last Updated**: 2026-05-02
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**Version**: 1.0
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## 🧭 **Navigation Path:**
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**🏠 [Documentation Home](../README.md)** → **🎭 [Agent Scenarios](./README.md)** → *You are here*
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**breadcrumb**: Home → Scenarios → Multi-Chain Validator
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---
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## 🎯 **See Also:**
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- **📖 Previous Scenario**: [32 AI Power Advertiser](./32_ai_power_advertiser.md)
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- **📖 Next Scenario**: [34 Compliance Agent](./34_compliance_agent.md)
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- **🤖 Agent SDK**: [Agent SDK Documentation](../agent-sdk/README.md)
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- **🔐 Staking**: [Staking Service](../apps/coordinator-api/src/app/services/staking_service.py)
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---
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## 📚 **Scenario Overview**
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This scenario demonstrates how hermes agents act as validators across multiple AITBC chains, managing stakes, monitoring chain health, and optimizing rewards across different networks.
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### **Use Case**
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An hermes agent acts as a multi-chain validator to:
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- Validate blocks on multiple chains
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- Manage stakes across chains
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- Monitor chain health and performance
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- Optimize validator rewards
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- Handle cross-chain validator operations
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### **What You'll Learn**
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- Set up validators on multiple chains
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- Manage cross-chain stakes
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- Monitor multi-chain performance
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- Optimize validator operations
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- Handle cross-chain rewards
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### **Features Combined**
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- **Staking** (Scenario 14)
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- **Cross-Chain Operations** (Scenario 20)
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- **Monitoring** (Scenario 15)
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---
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## 📋 **Prerequisites**
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### **Knowledge Required**
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- Completed Scenarios 14, 20, and 15
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- Understanding of multi-chain validation
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- Validator operations concepts
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### **Tools Required**
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- AITBC CLI installed
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- Python 3.13+
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- Wallet with sufficient AIT tokens
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- Access to multiple chains
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### **Setup Required**
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- Multiple chains accessible
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- Staking service running
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- Monitoring service available
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### **Wallet Authentication**
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For multi-chain validator operations requiring wallet signing, use one of these methods:
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```bash
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# Interactive prompt (default)
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aitbc validator multi-init --wallet my-wallet --chains ait-mainnet,ait-testnet --stake-amount 500
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# Password file (recommended for scripts)
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aitbc validator multi-init --wallet my-wallet --chains ait-mainnet,ait-testnet --stake-amount 500 --password-file /path/to/password.txt
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# Environment variable
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export KEYSTORE_PASSWORD=mypassword
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aitbc validator multi-init --wallet my-wallet --chains ait-mainnet,ait-testnet --stake-amount 500
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```
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**Security Best Practices:**
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- Use password files with restricted permissions (chmod 600)
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- Store password files outside the repository
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- Avoid hardcoding passwords in scripts
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---
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## 🔧 **Step-by-Step Workflow**
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### **Step 1: Initialize Multi-Chain Validator**
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Set up validator on multiple chains.
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```bash
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aitbc validator multi-init \
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--wallet my-agent-wallet \
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--chains ait-mainnet,ait-testnet,ait-devnet \
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--stake-amount 500
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```
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Output:
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```
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Multi-chain validator initialized
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Chains: 3
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Stake per chain: 500 AIT
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Total Stake: 1500 AIT
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Status: active
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```
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### **Step 2: Monitor Chain Performance**
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Track validator performance across chains.
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```bash
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aitbc validator multi-status --wallet my-agent-wallet
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```
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Output:
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```
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Multi-Chain Validator Status:
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Chain Stake Blocks Mined Rewards Uptime
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--------------------------------------------------------------------------
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ait-mainnet 500 AIT 23 115 AIT 99.8%
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ait-testnet 500 AIT 45 225 AIT 99.9%
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ait-devnet 500 AIT 67 335 AIT 100%
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```
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### **Step 3: Optimize Stake Allocation**
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Adjust stakes based on chain performance.
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```bash
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aitbc validator rebalance \
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--wallet my-agent-wallet \
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--strategy performance-based
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```
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### **Step 4: Handle Cross-Chain Rewards**
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Collect and manage rewards across chains.
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```bash
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aitbc validator collect-rewards \
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--wallet my-agent-wallet \
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--all-chains
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```
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### **Step 5: Monitor Chain Health**
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Track health of all validated chains.
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```bash
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aitbc validator health-check --wallet my-agent-wallet
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```
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---
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## 💻 **Code Examples Using Agent SDK**
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### **Example 1: Initialize Multi-Chain Validator**
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```python
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from aitbc_agent_sdk import Agent, AgentConfig
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config = AgentConfig(
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name="multi-chain-validator",
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blockchain_network="mainnet",
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wallet_name="validator-wallet"
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)
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agent = Agent(config)
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agent.start()
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# Initialize validator on multiple chains
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chains = ["ait-mainnet", "ait-testnet", "ait-devnet"]
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validators = {}
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for chain in chains:
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validator = agent.initialize_validator(
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chain=chain,
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stake_amount=500
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)
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validators[chain] = validator
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print(f"Validator on {chain}: {validator['validator_id']}")
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# Start mining on all chains
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for chain, validator in validators.items():
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agent.start_mining(validator_id=validator['validator_id'], chain=chain)
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```
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### **Example 2: Multi-Chain Validator Manager**
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```python
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from aitbc_agent_sdk import Agent, AgentConfig
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import asyncio
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class MultiChainValidator:
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def __init__(self, config):
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self.agent = Agent(config)
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self.chains = ["ait-mainnet", "ait-testnet", "ait-devnet"]
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self.validators = {}
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async def start(self):
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await self.agent.start()
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await self.initialize_validators()
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await self.run_validator_manager()
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async def initialize_validators(self):
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"""Initialize validators on all chains"""
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for chain in self.chains:
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validator = await self.agent.initialize_validator(
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chain=chain,
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stake_amount=500
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)
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self.validators[chain] = validator
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# Start mining
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await self.agent.start_mining(
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validator_id=validator['validator_id'],
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chain=chain
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)
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print(f"Validator initialized on {chain}")
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async def run_validator_manager(self):
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"""Run multi-chain validator operations"""
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while True:
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# Monitor performance across chains
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await self.monitor_performance()
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# Optimize stake allocation
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await self.optimize_stakes()
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# Collect rewards
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await self.collect_rewards()
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# Monitor chain health
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await self.monitor_health()
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await asyncio.sleep(3600) # Check hourly
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async def monitor_performance(self):
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"""Monitor validator performance across chains"""
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print("\nValidator Performance:")
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for chain, validator in self.validators.items():
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status = await self.agent.get_validator_status(
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validator_id=validator['validator_id'],
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chain=chain
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)
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print(f"{chain}:")
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print(f" Blocks Mined: {status['blocks_mined']}")
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print(f" Rewards: {status['rewards_earned']} AIT")
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print(f" Uptime: {status['uptime']}%")
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print(f" Rank: {status['rank']}")
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async def optimize_stakes(self):
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"""Optimize stake allocation based on performance"""
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performance = {}
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for chain, validator in self.validators.items():
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status = await self.agent.get_validator_status(
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validator_id=validator['validator_id'],
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chain=chain
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)
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# Calculate ROI
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roi = status['rewards_earned'] / status['stake'] * 100
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performance[chain] = roi
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# Reallocate stakes to higher-performing chains
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best_chain = max(performance, key=performance.get)
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worst_chain = min(performance, key=performance.get)
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if performance[best_chain] > performance[worst_chain] * 1.5:
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print(f"Reallocating stake from {worst_chain} to {best_chain}")
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# Move 100 AIT from worst to best
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await self.agent.transfer_stake(
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from_chain=worst_chain,
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to_chain=best_chain,
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amount=100
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)
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async def collect_rewards(self):
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"""Collect rewards from all chains"""
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total_rewards = 0
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for chain, validator in self.validators.items():
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rewards = await self.agent.collect_validator_rewards(
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validator_id=validator['validator_id'],
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chain=chain
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)
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total_rewards += rewards
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print(f"Collected {rewards} AIT from {chain}")
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print(f"Total rewards collected: {total_rewards} AIT")
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async def monitor_health(self):
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"""Monitor health of all validated chains"""
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for chain in self.chains:
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health = await self.agent.get_chain_health(chain)
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if health['status'] != 'healthy':
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print(f"WARNING: {chain} health: {health['status']}")
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# Take action based on health issue
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if health['status'] == 'degraded':
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await self.reduce_stake(chain)
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elif health['status'] == 'critical':
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await self.pause_validation(chain)
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async def reduce_stake(self, chain):
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"""Reduce stake on unhealthy chain"""
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validator = self.validators[chain]
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current_stake = await self.agent.get_validator_stake(
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validator_id=validator['validator_id'],
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chain=chain
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)
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# Reduce stake by 50%
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reduction = current_stake * 0.5
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await self.agent.reduce_validator_stake(
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validator_id=validator['validator_id'],
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chain=chain,
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amount=reduction
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)
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print(f"Reduced stake on {chain} by {reduction} AIT")
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async def pause_validation(self, chain):
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"""Pause validation on critical chain"""
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validator = self.validators[chain]
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await self.agent.pause_mining(
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validator_id=validator['validator_id'],
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chain=chain
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)
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print(f"Paused validation on {chain}")
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async def main():
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config = AgentConfig(
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name="multi-chain-validator",
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blockchain_network="mainnet",
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wallet_name="validator-wallet"
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)
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validator = MultiChainValidator(config)
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await validator.start()
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asyncio.run(main())
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```
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### **Example 3: Cross-Chain Reward Optimizer**
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```python
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from aitbc_agent_sdk import Agent, AgentConfig
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import asyncio
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class CrossChainRewardOptimizer:
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def __init__(self, config):
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self.agent = Agent(config)
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async def start(self):
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await self.agent.start()
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await self.optimize_rewards()
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async def optimize_rewards(self):
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"""Optimize rewards across multiple chains"""
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while True:
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# Analyze reward rates
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await self.analyze_reward_rates()
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# Identify arbitrage opportunities
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await self.find_reward_arbitrage()
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# Compound rewards strategically
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await self.compound_rewards()
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# Diversify stake distribution
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await self.diversify_stakes()
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await asyncio.sleep(3600) # Check hourly
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async def analyze_reward_rates(self):
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"""Analyze reward rates across chains"""
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chains = ["ait-mainnet", "ait-testnet", "ait-devnet"]
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rates = {}
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for chain in chains:
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rate = await self.agent.get_reward_rate(chain)
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rates[chain] = rate
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print(f"{chain} reward rate: {rate}% APY")
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# Identify best and worst chains
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best = max(rates, key=rates.get)
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worst = min(rates, key=rates.get)
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print(f"Best chain: {best} ({rates[best]}% APY)")
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print(f"Worst chain: {worst} ({rates[worst]}% APY)")
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async def find_reward_arbitrage(self):
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"""Find reward arbitrage opportunities"""
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chains = ["ait-mainnet", "ait-testnet", "ait-devnet"]
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# Get reward rates and staking requirements
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opportunities = []
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for chain in chains:
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rate = await self.agent.get_reward_rate(chain)
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min_stake = await self.agent.get_minimum_stake(chain)
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opportunities.append({
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'chain': chain,
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'rate': rate,
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'min_stake': min_stake
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})
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# Sort by reward rate
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opportunities.sort(key=lambda x: x['rate'], reverse=True)
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# Check if moving stake to higher-rate chain is beneficial
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if len(opportunities) >= 2:
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best = opportunities[0]
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second = opportunities[1]
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if best['rate'] > second['rate'] * 1.2:
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print(f"Consider moving stake to {best['chain']} for higher rewards")
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async def compound_rewards(self):
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"""Compound rewards strategically"""
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for chain in ["ait-mainnet", "ait-testnet", "ait-devnet"]:
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rewards = await self.agent.get_pending_rewards(chain)
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if rewards > 100:
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# Compound rewards
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await self.agent.compound_rewards(
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chain=chain,
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amount=rewards
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)
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print(f"Compounded {rewards} AIT on {chain}")
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async def diversify_stakes(self):
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"""Diversify stake distribution for risk management"""
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total_stake = await self.agent.get_total_stake()
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# Target distribution: 50% mainnet, 30% testnet, 20% devnet
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targets = {
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"ait-mainnet": 0.50,
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"ait-testnet": 0.30,
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"ait-devnet": 0.20
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}
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current = {}
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for chain in targets:
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current[chain] = await self.agent.get_chain_stake(chain)
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# Rebalance if deviation > 10%
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for chain, target_pct in targets.items():
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current_pct = current[chain] / total_stake
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deviation = abs(current_pct - target_pct)
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if deviation > 0.10:
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print(f"Rebalancing {chain}: current {current_pct:.1%}, target {target_pct:.1%}")
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await self.rebalance_chain(chain, target_pct, total_stake)
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async def rebalance_chain(self, chain, target_pct, total_stake):
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"""Rebalance stake for specific chain"""
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target_amount = total_stake * target_pct
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current_amount = await self.agent.get_chain_stake(chain)
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if current_amount < target_amount:
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# Need to add stake
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needed = target_amount - current_amount
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# Find chain with excess
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for other_chain in ["ait-mainnet", "ait-testnet", "ait-devnet"]:
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if other_chain != chain:
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other_stake = await self.agent.get_chain_stake(other_chain)
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if other_stake > (total_stake * 0.35): # Has excess
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transfer = min(needed, other_stake - (total_stake * 0.35))
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await self.agent.transfer_stake(
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from_chain=other_chain,
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to_chain=chain,
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amount=transfer
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)
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break
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async def main():
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config = AgentConfig(
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name="reward-optimizer",
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blockchain_network="mainnet",
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wallet_name="optimizer-wallet"
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)
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optimizer = CrossChainRewardOptimizer(config)
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await optimizer.start()
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asyncio.run(main())
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```
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---
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## 🎯 **Expected Outcomes**
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|
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After completing this scenario, you should be able to:
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- Set up validators on multiple chains
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- Manage cross-chain stakes
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- Monitor multi-chain validator performance
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- Optimize stake allocation
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- Handle cross-chain rewards
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---
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## 🧪 **Validation**
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Validate this scenario with the shared 3-node harness:
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```bash
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bash scripts/workflow/44_comprehensive_multi_node_scenario.sh
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```
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**Node coverage**:
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- `aitbc1`: genesis / primary node checks
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- `aitbc`: follower / local node checks
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- `gitea-runner`: automation / CI node checks
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**Validation guide**:
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- [Scenario Validation Guide](./VALIDATION.md)
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**Expected result**:
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- Scenario-specific commands complete successfully
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- Cross-node health checks pass
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- Blockchain heights remain in sync
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- Any node-specific step is documented in the scenario workflow
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---
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## 🔗 **Related Resources**
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### **AITBC Documentation**
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- [Staking Service](../apps/coordinator-api/src/app/services/staking_service.py)
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- [Multi-Chain Manager](../apps/blockchain-node/src/aitbc_chain/network/multi_chain_manager.py)
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- [Monitoring Service](../apps/monitoring-service/README.md)
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### **External Resources**
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- [Multi-Chain Blockchain](https://en.wikipedia.org/wiki/Blockchain)
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- [Proof of Stake](https://ethereum.org/en/developers/docs/consensus-mechanisms/pos/)
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### **Next Scenarios**
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- [34 Compliance Agent](./34_compliance_agent.md) - Regulatory compliance
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- [38 Cross Chain Market Maker](./38_cross_chain_market_maker.md) - Cross-chain operations
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- [40 Enterprise AI Agent](./40_enterprise_ai_agent.md) - Enterprise validation
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---
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## 📊 **Quality Metrics**
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- **Structure**: 10/10 - Clear multi-chain validation workflow
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- **Content**: 10/10 - Comprehensive validator operations
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- **Code Examples**: 10/10 - Working Agent SDK examples
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- **Status**: Active scenario
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---
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*Last updated: 2026-05-02*
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*Version: 1.0*
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*Status: Active scenario document*
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