What this category of data looks like
Data sources for this category include MES systems, online inspection equipment, laboratory ledgers, process parameter documents, customer acceptance standards, and historical defect databases. Teams collect data continuously per production batch and shift. The coverage spans the full workflow from in-process product inspection to finished product release. Daily business documents include control plans, inspection records, SPC statistical reports, finished product inspection reports, nonconforming product review forms, release approval forms, and monthly quality summary reports. Fields include inspection item codes, defect levels, release thresholds, historical nonconforming batch numbers, and additional relevant fields. These support query requirements for different quality inspection scenarios.
What constraints these characteristics impose on tool calling and plugins
Multi-source heterogeneous data sources require tool calling to support integration with multiple types of systems and document repositories. It also requires adaptation to different formats of quality inspection reports and approval forms. High-frequency data updates require tool calling caching strategies to align with production batch or shift cycles. This prevents use of expired quality inspection data. Varied business document types require plugins to have flexible parsing capabilities. Plugins can extract field content from different structures such as tables and approval workflows. Finished product release involves permission control. Tool calling must integrate permission verification logic. This ensures only authorized quality engineers, IPQC, and other authorized personnel can call relevant tools.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Supports tool calling needs for multiple quality inspection scenarios, no need to manually specify individual functions |
| Workflow/API function-call configuration | Dynamically bind per scenario | Calls corresponding parsing tools for different document types such as control plans and SPC reports |
| Tool call timeout | 600 seconds | Reserves sufficient time for data pulling and processing when integrating with MES, inspection equipment, and other systems |
| Multi-data source sync frequency | Per production batch | Aligns with the batch-based data update rhythm, prevents use of expired quality inspection data |
| Document parsing format support | Tables, PDF, CSV | Covers daily quality inspection document types such as control plans, SPC reports, and inspection records |
| Call permission verification | Enabled | Ensures only authorized quality engineers and IPQC can call tools related to finished product release |
This configuration guide is based on FastGPT v4.17.0.
Three common mistakes
- When calling the Claude4 model, errors starting with software.amazon.awssdk.services.bedrockruntime.model. are returned. The cause is incorrect configuration of Bedrock plugin access keys and region parameters, leading to interface authentication failure.
- An aiPointsNotEnough status code is returned for interface calls. The cause is failure to sync historical defect database data per production batch, leading to insufficient associated business data required for tool calling.
- No image analysis results of quality inspection reports are returned after multimodal plugin calls. The cause is failure to enable the plugin's image parsing switch, or failure to configure the image pulling interface for the corresponding inspection equipment.
How to confirm the configuration is complete
- Initiate a process standard query targeting the finished product inspection report for a specified batch. Check if tool calling correctly pulls SPC reports and control plan data for that batch.
- Trigger a linked query for nonconforming product reviews. Confirm that corresponding defect types and processing records from the historical defect database are pulled.
- Use an unauthorized test account to initiate tool calling. Confirm that tool operations related to finished product release cannot be triggered.
- Review plugin operation logs. Confirm that multi-data source sync frequency matches the preset production batch cycle.
The configuration values provided here are common starting points. They should be evaluated against the operational samples of the relevant deployment.