What Data Looks Like for This Category
This covers core business data for manufacturing enterprise PMC, planning, shop scheduling, and material control departments. Data sources include ERP orders and inventory, BOM lists, process routes, equipment capacity, staff shifts, work-in-progress ledgers, and supplier arrival records. Documents handled daily include sales orders, master production plans, material requirements plans, weekly and daily scheduling tables, work orders, material shortage lists, and delivery change orders. Fields include work order number, equipment ID, capacity man-hours, material code, delivery date, and more. Units include hours, pieces, days, and more. Data update frequency is mostly daily, weekly, or real-time with orders or exception events.
Constraints on Tool Calls and Plugins
Category data comes from multiple sources with limited unified field standards. Tool calls require interfacing with multiple systems, so permission verification and format mapping rules for multi-source data must be configured. Data update cycles vary widely. Tool triggers must support both scheduled polling and event triggering modes to avoid missing exception scenarios. Core documents have specific business meanings for their fields and units. Tool calls must strictly match field names and units, otherwise traceability results will be inaccurate. Exception scenarios such as emergency order additions, material shortages, and equipment failures occur frequently. Plugin logic for corresponding trigger conditions must be configured to ensure real-time quality traceability and scheduling adjustments.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Trigger Mode | Event triggering as specified by toolChoice, with options including order update, exception report, or scheduled polling every 600 seconds | Adapts to the update frequency and exception trigger scenarios of category data. Scheduled polling covers non-real-time scheduling data, while event triggering adapts to real-time exceptions |
| Associated Data Scope | First 8 associated work order and equipment data entries | Matches the document structure handled daily for this category. Work orders are the core carrier for quality traceability, and excessive redundant data will slow down call speed |
| Result Field Filtering | Retain core fields specified by functionCall | Matches the field standards of category data, ensuring that returned equipment ID, capacity man-hours, and material code can be directly used for scheduling adjustments and defect analysis |
| Timeout Threshold | 300-600 seconds based on actual testing | Adapts to the average response time of multi-data-source interface calls, avoiding scheduling process interruptions caused by cross-system call timeouts |
| Error Retry Count | 2 retries | Addresses network fluctuations or temporary third-party interface exceptions, reducing the impact of invalid retries on scheduling tasks |
| Version Adaptation | Adapt to the plugin call logic of FastGPT v4.17.0 | Ensures configuration items are compatible with the current platform's plugin functions, avoiding call failures caused by version differences |
Three Common Misconfigurations
- A 404 error is returned when calling the relevant model. The cause is that the model's API path and version parameters are not correctly configured, and the traceability data interface specifications required for this category are not matched.
- The tool call stop sequence configuration is invalid, and the current task cannot be terminated when a scheduling exception occurs. The cause is that the stop condition is not bound to the core trigger events of this category such as material shortage list updates, and only general stop rules are configured.
- An AxiosError 404 occurs when running the plugin in a local deployment. The cause is that the access path of the local plugin is not correctly configured, and the ERP and BOM data interface addresses required for this category are not mapped.
How to Confirm Proper Configuration
- Trigger a simulated exception event such as uploading a simulated material shortage list, and check whether a corresponding trigger record is generated in the platform's tool call logs.
- Call the specified data source interface, and verify whether the returned data fields match the fields of daily documents for this category.
- Simulate a timeout scenario, and check whether the plugin triggers retry or error handling logic as configured.
- After configuring the stop sequence, trigger the corresponding trigger event, and check whether the task is terminated according to the rules.
The values provided are common starting points and should be measured against the reader's own samples.