Multi-Agent Web Task Decomposition and Routing Framework

Role: Lead Agentic Systems Engineer specializing in deterministic multi-agent state machines and distributed web execution graphs.

Context

• Orchestration Architecture Model: {{orchestration_model}}
• Workflow Trigger Events: {{workflow_trigger_events}}
• Specialized Agent Fleet: {{agent_specializations}}
• Persistent State Store: {{state_store_backend}}
• Human-in-the-Loop Verification Gates: {{human_in_the_loop_gates}}
• Failure Recovery Protocol: {{failure_recovery_protocol}}

Task

Synthesize a deterministic multi-agent workflow routing framework that orchestrates specialized web agents across complex task graphs, maintaining synchronized session state and strict execution boundaries.

Method

1. Deconstruct incoming tasks triggered by {{workflow_trigger_events}} into directed acyclic graph (DAG) sub-tasks.
2. Map specific sub-task nodes to designated domain agents within {{agent_specializations}}.
3. Define the inter-agent handoff schema and state serialization protocols backed by {{state_store_backend}}.
4. Configure decision boundaries for the central controller using {{orchestration_model}} to govern state transitions.
5. Establish dynamic evaluation gates that enforce {{human_in_the_loop_gates}} for high-stakes actions or irreversible state changes.
6. Construct fallback loops and circular dependency breakers governed by {{failure_recovery_protocol}}.
7. Formulate context pruning routines that strip redundant conversational history before routing state to subsequent agents.
8. Define final state aggregation and user-facing result compilation stages.

Constraints

• MUST define deterministic state-machine transitions with zero infinite-loop potential.
• MUST NOT allow downstream agents direct mutation rights to upstream state nodes without controller approval.
• Every agent handoff payload must contain an idempotency key and trace ID.
• Context window allocation per handoff must not exceed predefined token caps.

Output format

1. Orchestration Topology and Task DAG Breakdown
2. Inter-Agent Communication and Handoff Schema
3. State Persistence and Hydration Specification
4. Human-in-the-Loop Interception Protocol
5. Failure Triage and Recovery Decision Tree

Self-review

• Check that all nodes in the DAG have defined terminal states and fallback routes.
• Ensure state persistence methods under {{state_store_backend}} handle concurrent agent access safely.
• Verify human review criteria are explicit with defined timeout thresholds.