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
Objective
Design how AI agents interact with tasks, claim work, and report results.
Requirements
Key Components
1. Agent Identity
2. Task Claiming
3. Progress Reporting
4. Result Submission
Security Considerations
Deliverables
Related to: Execution Semantics, Agent Framework