Agent Interfaces

Strategy Interface

The strategy interface defines how agents make investment decisions and execute trades. It includes methods for analyzing market conditions, calculating position sizes, and determining when to enter or exit positions. All agents must implement this interface to ensure consistent behavior and monitoring.

Key methods include analyzeOpportunity() for evaluating potential trades, calculateRisk() for position sizing, and executeStrategy() for implementing decisions. The interface also requires agents to report their intended actions before execution, allowing for validation and logging.

Vault Interface

Agents interact with user funds through the vault interface, which provides controlled access to deposited assets. This interface includes methods for querying available capital, requesting fund transfers, and reporting position changes. It enforces the agent's permissions and ensures they cannot exceed their authorized limits.

The vault interface handles all custody-related functions, ensuring agents can manage funds without direct access to user assets. Methods like requestWithdrawal() and reportPosition() maintain the separation between strategy execution and fund custody.

Risk Interface

The risk interface connects agents to the platform's risk management system. Agents must report their positions, calculate exposure metrics, and respond to risk limit violations. This interface helps prevent agents from taking excessive risks that could harm users or the platform.

Risk interface methods include calculateExposure() for position reporting, checkLimits() for validation, and emergencyExit() for crisis situations. The interface ensures all agents operate within acceptable risk parameters regardless of their specific strategies.

Monitoring Interface

Agents communicate their status and performance through the monitoring interface. This includes regular health checks, performance reporting, and error notification. The interface allows the platform to track agent behavior and identify issues before they affect users.

Monitoring methods include reportHealth() for status updates, logTransaction() for trade recording, and handleError() for issue reporting. This interface ensures transparency and enables proactive management of agent performance.

Governance Interface

Agents that participate in governance activities use this interface to interact with DAO voting systems and proposal mechanisms. It provides standardized methods for proposal analysis, vote execution, and reward claiming across different governance protocols.

The governance interface includes analyzeProposal() for decision making, castVote() for execution, and claimRewards() for benefit collection. This interface enables agents to participate effectively in protocol governance while maintaining consistent behavior standards.