Multi-Agent Coordination Loop
How multiple agents with different roles collaborate on a shared objective using the Collab and Dialog modules.
Goal
Validate that multiple agents can collaborate on a single Project.
Success Criteria
Atomic handoffs occur, shared state is maintained, no race conditions.
Sequence
Execution Steps
The normative sequence of operations for this flow.
Shared Context
Project state is synchronized across agents.
Role Assignment
Agents are assigned roles (e.g., Researcher, Writer).
Task Handoff
Task is delegated from one agent to another.
Consensus
Agents agree on the final output.
Result Aggregation
Partial results are merged into final deliverable.
Normative
Normative Scope
This flow normatively aggregates and enforces existing constraints from the following MPLP modules.
Collab Module
Task handoffs between agents MUST be atomic and maintain shared state consistency.
Role Module
All agents MUST operate within their assigned role boundaries.
Dialog Module
Inter-agent communication MUST follow the Dialog protocol semantics.
Validation
Failure Conditions
Execution of this flow MUST be considered non-conformant if any of the following conditions occur.
A task handoff results in inconsistent or lost state.
An agent operates outside its assigned role boundaries.
Race conditions occur during concurrent agent operations.
Inter-agent communication violates Dialog protocol semantics.
Protocol Compliance Requirement
Any MPLP-conformant runtime is expected to pass this flow without violating any of the normative constraints defined above.
Failure to satisfy this flow results in a non-conformant MPLP implementation.