Manufacturing Template

Four-agent pipeline for order parsing, inventory checking, production scheduling, and quality inspection — ready in three lines.

Turn an unstructured order (email, PDF, API payload) into a quality-checked production schedule with a single function call.

Turn an unstructured order (email, PDF, API payload) into a quality-checked production schedule with a single function call.

from examples.cookbooks.Industry_Templates.manufacturing_template import manufacturing_workflow

result = manufacturing_workflow(
    "Customer ABC needs 100 units of Product-XYZ by March 15th, high priority"
)
print(result)

The user submits unstructured order text; four agents parse inventory, schedule production, and return a quality report.

Quick Start

1. Run the prebuilt workflow

   from praisonaiagents import Agent, tool
   from examples.cookbooks.Industry_Templates.manufacturing_template import manufacturing_workflow
   
   result = manufacturing_workflow(
       "Customer ABC needs 100 units of Product-XYZ by March 15th, high priority"
   )
   print(result)

   result is a dict with keys order, inventory, schedule, and quality.

2. Build a custom agent with IndustryAgentPattern

   from examples.cookbooks.Industry_Templates.manufacturing_template import IndustryAgentPattern
   
   custom_parser = IndustryAgentPattern.create_data_parser(
       name="XMLOrderParser",
       domain="XML purchase orders",
       sla_seconds=15
   )
   
   order_data = custom_parser.start("Parse <order><id>999</id><qty>50</qty></order>")
   print(order_data)

How It Works

Configuration Options

Pydantic I/O schemas used by this template:

Common Patterns

Plug a custom ERP tool into ParseOrder

from praisonaiagents import tool
from examples.cookbooks.Industry_Templates.manufacturing_template import order_parser

@tool
def erp_order_lookup(order_ref: str) -> dict:
    """Fetch order details from ERP system"""
    return {"erp_confirmed": True, "order_ref": order_ref, "priority": "high"}

order_parser.tools.append(erp_order_lookup)
result = order_parser.start("Look up order ORD-2024-555 in ERP")
print(result)

Swap the fallback strategy for inventory

from examples.cookbooks.Industry_Templates.manufacturing_template import (
    manufacturing_workflow, inventory_checker
)

def conservative_inventory(order_text: str) -> dict:
    try:
        return manufacturing_workflow(order_text)
    except Exception:
        return {
            "status": "manual_review_required",
            "reason": "inventory_system_unavailable"
        }

result = conservative_inventory("Rush order: 200 units PART-999")

Scale with IndustryAgentPattern

from examples.cookbooks.Industry_Templates.manufacturing_template import IndustryAgentPattern

optimizer = IndustryAgentPattern.create_optimizer(
    name="ShiftOptimizer",
    optimization_target="shift scheduling across 3 production lines",
    sla_minutes=5
)
schedule = optimizer.start("Optimize night shift for lines A, B, C with 80% capacity")

Best Practices

Related