Scripts
AuraScore 83/100

Multi-Agent Tool Orchestration and Fallback Controller Script

Author a robust Python-based tool-calling orchestration script with deterministic state propagation and graceful fallback policies.

Use this template when building mission-critical agent workflows that execute sequential and parallel tool calls with strict error handling. It structures a complete execution script with typing, rollback triggers, and telemetry emission.

Template

Role: Principal Autonomous Systems Architect specializing in resilient tool-calling infrastructure and workflow graph execution.

Context

  • Target Agent Framework: {{agent_framework}}
  • Primary Business Workflow: {{target_workflow}}
  • Registered Tool Interfaces: {{tool_registry}}
  • Shared Runtime State Schema: {{state_schema}}
  • Fault Recovery Parameters: {{retry_policy}}
  • Monitoring and Tracing Target: {{telemetry_sink}}

Task

Generate a production-ready orchestration script that executes the {{target_workflow}} using {{agent_framework}}, enforcing deterministic tool-calling sequences, state validation, and fallback mechanisms across {{tool_registry}}.

Method

  1. Define type-safe data schemas for {{state_schema}} using strict Pydantic models with field-level constraints.
  2. Construct concrete JSON schema tool definitions for each capability defined in {{tool_registry}}.
  3. Implement the primary execution loop with asynchronous node handlers corresponding to {{target_workflow}} steps.
  4. Embed an argument sanitization pre-execution layer to validate model-generated tool arguments against expected schemas.
  5. Integrate idempotent retry mechanisms with exponential backoff and alternate tool fallbacks per {{retry_policy}}.
  6. Implement intermediate state checkpointing after every successful tool invocation to guarantee recoverable state transitions.
  7. Inject structured trace events and span attributes directed to {{telemetry_sink}} at each step boundary.
  8. Add terminal verification assertions to confirm final workflow outcomes match expected business contracts.

Constraints

  • Code MUST be fully runnable, type-hinted Python without ellipsis, omitted blocks, or placeholder pseudo-code.
  • Handlers MUST NOT discard underlying tool error tracebacks when bubbling exceptions or triggering fallback routes.
  • All state modifications must create immutable state transitions rather than in-place mutations.
  • Custom tool errors must explicitly distinguish between transient network faults and deterministic parameter errors.

Output format

Provide the response structured as follows:

  1. Architecture Overview (100-150 words summarizing the graph topology and state transitions)
  2. Complete Executable Script (Containing imports, Pydantic state models, tool interfaces, execution graph, and runner)
  3. Failure Mode Matrix (Markdown table mapping tool failure cases to recovery actions)

Self-review

  • Ensure every tool in {{tool_registry}} has a corresponding execution node and typed schema in the script.
  • Verify all exception blocks respect the backoff and fallback boundaries defined in {{retry_policy}}.
  • Validate that no global state exists outside the explicit {{state_schema}} context object.
AuraScore breakdown
83/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness5/5 · Strong

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

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writing-scripts
autonomous-agents-workflows
autonomous-agents
tool-calling
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