Data profile for this category
Typical enterprises in plastic injection molding scenarios produce automotive interior parts, home appliance components and medical plastic parts. Data sources include resin batch property sheets, injection molding machine operating parameters, mold temperature controller data, MES system records, and dimensional and appearance inspection reports. Data is updated per production batch, each mold change and material change, and at each shift handover. Daily documents include injection molding process cards, raw material drying records, mold history logs, first-piece inspection forms, patrol inspection forms, and material change and machine cleaning records. Field formats vary across different documents. Extracted production-related parameters include screw speed (rpm), mold temperature (degrees Celsius), and holding pressure duration (seconds).
Constraints on tool calling and plugins
Data sources are scattered across multiple types of equipment and systems. Tool calling must support integration with multi-data-source plugins to eliminate manual data organization time, especially for the most time-consuming tasks such as setting the filling, holding pressure and cooling windows, controlling raw material drying and recycling ratios, and analyzing defects including shrinkage, short shots, flash, and warping. Data update frequency is high and tied to production events. Tool calling triggers must be bound to mold change, material change, and shift completion events, rather than using fixed scheduled pulls. Using fixed scheduled pulls may retrieve outdated unsynchronized data, leading to material mixing or batch quality nonconformity. There are many document types with inconsistent fields. Tool calling must support specifying parsing templates for different documents to match the field requirements of process parameters and abnormal defects respectively. Injection molding materials are sensitive to parameters. Tool calling must be associated with raw material batch information to ensure parameter accuracy in generated content.
Configuration settings
This page is based on FastGPT v4.17.0.
| Configuration Item | Recommended Practice | Rationale |
|---|---|---|
| Workflow/API tool selection | Force specify functionCall | Ensure only tools are called to generate process documents and anomaly reports, preventing the system from automatically triggering knowledge base retrieval |
| Trigger condition | Bind to mold change/material change/shift completion events, execute after a 10-30 second delay | Match the data update rhythm of this category, avoid calling before raw data has completed synchronization |
| Data source binding rules | Associate resin property sheets and injection molding machine operation logs for the corresponding batch | Match the data source characteristics of this category, ensure parameter accuracy in generated content |
| Result output fields | Include filling pressure (megapascals), holding pressure duration (seconds), and defect analysis items | Match the standard field requirements of category documents, comply with internal enterprise document specifications |
| Timeout threshold | 600 seconds | Adapt to time-consuming scenarios of multi-data source pulling, avoid task interruption due to timeout |
Three common configuration errors
- Phenomenon: Tool call return results include knowledge base retrieval input and response fields. Cause:
toolChoiceis not set to forcedfunctionCall, causing the system to automatically trigger the knowledge base retrieval process. - Phenomenon: No response when clicking the confirm button when creating a plugin via CURL, unable to complete plugin creation. Cause: The Content-Type or interface address format of the CURL request is not filled in correctly, failing to pass the system verification logic.
- Phenomenon: MCP client calls return abnormal numeric type parameters, unable to correctly parse incoming injection molding machine parameters. Cause: Numeric field formats are not clearly marked in tool definitions, leading to parameter parsing failures.
How to confirm successful configuration
- Initiate a simulated mold change event to trigger tool calling, verify that the return result does not contain knowledge base retrieval-related input and response fields.
- Enter the plugin management page, import a test CURL request, confirm that the confirm button displays normally and can be clicked and submitted.
- Configure numeric type parameters for the MCP client, initiate a test call, verify that the return result has no format errors for numeric fields.
- View tool call logs, confirm that the call is associated with the resin property sheet and injection molding machine operation data for the corresponding batch.
The values provided here are common starting points and should be validated against the reader's own samples.