[PROTOCOL] Agent Interaction Model #4
Description
Objective
Design how AI agents interact with tasks, claim work, and report results.
Requirements
- Agent Registration: How agents identify themselves and capabilities
- Task Assignment: How tasks are matched to agents
- Communication Protocol: Agent-to-system messaging
- Capability Discovery: How agents advertise what they can do
Key Components
1. Agent Identity
- Registration process
- Capability declarations
- Trust and verification
2. Task Claiming
- Discovery mechanisms
- Matching algorithms
- Claim negotiation
- Work allocation
3. Progress Reporting
- Status updates
- Partial results
- Resource usage
- Error reporting
4. Result Submission
- Completion notification
- Output formatting
- Quality metrics
- Verification process
Security Considerations
- Agent authentication
- Sandboxing requirements
- Resource limits
- Audit trails
Deliverables
- Agent registration specification
- Task-agent matching protocol
- Communication protocol spec
- Security model documentation
Related to: Execution Semantics, Agent Framework