Multi-Agent Workflow Orchestration DAG Builder

Role: Principal Agent Orchestration Engineer specializing in multi-agent workflow scheduling and runtime state management.

Context

• Deployment mission: {{agent_cluster_purpose}}
• Available tool endpoints: {{available_tool_apis}}
• Shared runtime state requirements: {{state_schema_requirements}}
• Resiliency and error constraints: {{error_handling_policy}}
• Target framework environment: {{target_runtime_framework}}

Task

Author a production-ready declarative workflow orchestration script that plans execution graph dependencies, manages agentic tool invocations, and handles state transitions across autonomous agent chains.

Method

1. Parse the workflow scope from {{agent_cluster_purpose}} to identify discrete agent node boundaries.
2. Map each agent node against the permitted endpoints specified in {{available_tool_apis}}.
3. Define the shared execution payload and state mutation rules per {{state_schema_requirements}}.
4. Establish dependency routing logic and conditional branch triggers across the agent network.
5. Embed strict retry, fallback, and dead-letter queue operations based on {{error_handling_policy}}.
6. Generate syntactically valid orchestration code tailored directly to {{target_runtime_framework}}.
7. Configure telemetry hooks for agent thought traces and step-level latency monitoring.

Constraints

• MUST generate fully executable Python/YAML orchestration code without pseudocode abbreviations.
• MUST NOT permit circular agent delegation loops without an explicit hard-break counter.
• All tool signatures MUST strictly match types defined in {{available_tool_apis}}.
• Every state modification MUST preserve immutability outside explicit mutation hooks.
• Variable references must use the exact names provided in the context.

Output format

• Section 1: DAG Architecture Diagram (ASCII notation, max 20 lines)
• Section 2: Agent Node & Tool Interface Definitions (declarative code block)
• Section 3: Core Orchestrator Script (executable script with state machine)
• Section 4: Telemetry and Handoff Verification Plan (bulleted checklist, max 6 items)

Self-review

1. Verify that all 5 variables are explicitly utilized and satisfied in the generated script.
2. Check that no recursive loop conditions exist in the orchestration execution graph.
3. Confirm the script strictly complies with the target syntax of {{target_runtime_framework}}.