# AgentRearrange

**AgentRearrange** enables autonomous agents to dynamically restructure workflows in response to real-time conditions like regulatory updates, network congestion, or liquidity shifts. Designed for adaptive Web3 operations, it enables enterprises to maintain zero-human workflows even in unstable environments.

***

#### **Core Components**

**1. Dynamic Workflow Engine**

* **Real-Time Triggers**: Monitors on-chain data (gas fees, sanctions lists) and off-chain rules (tax laws).
* **Reconfiguration Logic**: Rewrites agent execution paths using GPT-4’s adaptive reasoning.

**2. Compliance Anchors**

* Auto-updates workflows when regulations change (e.g., MiCA tax rules).
* Anchors adjustments to blockchain via ZK-proofs for auditability.

**3. Agent Pool**

| Agent Type              | Function                                     |
| ----------------------- | -------------------------------------------- |
| **Compliance Sentinel** | Enforces latest regulatory updates.          |
| **Chain Optimizer**     | Reroutes transactions across chains.         |
| **Fallback Handler**    | Deploys contingency plans if workflows fail. |

***

#### **Workflow**

```mermaid
sequenceDiagram  
    User->>AgentGPT: "Distribute $500K Salary Pool"  
    AgentGPT->>WorkflowEngine: Initial Plan (Ethereum)  
    Note over AgentGPT: Ethereum Gas ↑ 300%  
    WorkflowEngine->>ComplianceSentinel: Verify EU Tax Rules  
    ComplianceSentinel-->>WorkflowEngine: Tax Rule v2.1 Applied  
    WorkflowEngine->>ChainOptimizer: Switch to Polygon  
    ChainOptimizer-->>Execution: Route via Polygon & Bridge  
    Execution->>User: Payments Completed (6s, $12.50 Fees)  
```

***

#### **Logic Code Example**

```python
from agentgpt.architectures import RearrangeAgent  
from agentgpt.web3 import ERC7645, GasMonitor  
from typing import Dict, Optional  

class SalaryPaymentRearranger(RearrangeAgent):  
    def __init__(self):  
        super().__init__(  
            triggers=["gas_spike", "tax_rule_change"],  
            fallback_chain="polygon"  
        )  
        self.gas_monitor = GasMonitor()  
        self.executor = ERC7645()  

    def build_workflow(self, params: Dict) -> Optional[str]:  
        # Initial workflow: Ethereum direct transfer  
        workflow = {  
            "steps": ["validate_compliance", "execute_payment"],  
            "chain": "ethereum"  
        }  
        return workflow  

    def adjust_workflow(self, workflow: str, trigger: str) -> Dict:  
        # Real-time adjustment logic  
        if trigger == "gas_spike":  
            new_chain = self.gas_monitor.recommend_chain()  
            return {  
                "steps": ["bridge_to_layer2", "validate_compliance", "execute_payment"],  
                "chain": new_chain  
            }  
        elif trigger == "tax_rule_change":  
            return {  
                "steps": ["force_compliance_check", "calculate_tax", "execute_payment"],  
                "chain": workflow["chain"]  
            }  
        return workflow  

    def execute(self, recipient: str, amount: float):  
        workflow = self.build_workflow({})  
        while True:  
            try:  
                # Detect triggers (e.g., gas price change)  
                trigger = self.monitor_triggers()  
                if trigger:  
                    workflow = self.adjust_workflow(workflow, trigger)  

                # Run workflow steps  
                if "bridge_to_layer2" in workflow["steps"]:  
                    self.executor.bridge_to(workflow["chain"], amount)  
                if "force_compliance_check" in workflow["steps"]:  
                    self.executor.validate_compliance(recipient)  
                self.executor.transfer(recipient, amount)  
                self.zk_audit.log_workflow(workflow)  
                break  
            except Exception as e:  
                self.fallback_handler.retry_or_alert(e)  

# Usage  
agent = SalaryPaymentRearranger()  
agent.execute("0xEmployee", 2500.0)  # Salary payment  
```

***

#### **Key Features**

**1. Dynamic Replanning**

Agents reroute workflows mid-execution:

```python
# Force recalibration on compliance failure  
agent.force_trigger("tax_rule_change")  
```

**2. Multi-Chain Fallbacks**

Predefined contingencies for chain failures (Ethereum → Arbitrum → Polygon → Base).

**3. Compliance-Aware Execution**

Auto-injects steps like tax withholding when rules change:

```python
def adjust_workflow(...):  
    if "tax_rule_change" in triggers:  
        workflow["steps"].insert(0, "withhold_tax")  
```

***

#### **Enterprise Use Cases**

**1. EU VAT Rule Adaptation**

* **Challenge**: VAT rate change mid-payroll.
* **Solution**: AgentRearrange injected tax recalculations for 12,000+ employees within 7 seconds.

**2. Cross-DEX Arbitrage**

* Reroutes swaps from Uniswap to Curve during liquidity droughts.

***

#### **Performance Metrics**

| **Metric**            | **Result** |
| --------------------- | ---------- |
| Adaptation Speed      | 2.3s avg   |
| Error Recovery Rate   | 98%        |
| Compliance Violations | 0.01%      |

***

#### **Implementation Guide**

**1. CLI Commands**

Deploy a rearrangable payroll system:

```bash
agentgpt-cli create-rearrange \  
  --name "GlobalPayroll" \  
  --triggers gas,tax,risk \  
  --default-chain ethereum \  
  --fallback-chain polygon  
```

**2. Best Practices**

* Test triggers in sandbox environments pre-deployment.
* Assign 20% higher gas limits for dynamic workflows.

***

#### **Limitations**

* **Complexity Overhead**: Requires GPT-4 fine-tuning for niche industries.
* **Latency**: Adds 1–3s delay vs static workflows.


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