What the data for this category looks like
Core data for this category comes from manufacturing enterprise MES systems, online inspection equipment, laboratory systems, process parameter libraries, customer standard documents, and historical defect libraries. Documents generated daily include control plans, inspection records, SPC reports, finished product inspection reports, nonconforming product review forms, release forms, and quality monthly reports. Data is updated per production batch, in real time per shift, or process and inspection parameters are collected continuously. Document fields include inspection item number, measured value, judgment result, defect type, release permission identifier, and other fields. There are no unified fixed units; values vary based on the type of inspection parameter.
What constraints these characteristics impose on the "tool calling and plugins" workflow
Data for this category is multi-source, scattered, updated frequently, and has diverse document types. This creates multiple constraints for tool calling and plugin usage. First, multi-source data requires plugins to support integration with different data sources such as MES, inspection equipment, and laboratory systems. A unified data pull protocol must be configured for adaptation. Second, high-frequency updates require tool call cache durations to match data refresh rhythms. Expired inspection records or SPC report data must be avoided. Third, diverse document formats and dynamic fields require plugins to have flexible parsing logic. This supports field extraction for different document types such as control plans and finished product inspection reports. Finally, tool calls involving release permissions must be bound to role verification rules. This ensures only authorized personnel can trigger operations related to release judgments.
How to Configure Settings
This document is written based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Workflow/API tool selection | auto or a specified custom plugin ID | Use auto when the model needs to independently determine whether to call tools to process inspection data. Use the corresponding ID when forced calls to a specified defect library comparison plugin are required. This adapts to the flexible tool calling needs of this category |
| Workflow/API function-call configuration | Configure parameters grouped by inspection item type | Inspection items in this category include types such as dimensions, performance, and appearance. Grouped configuration improves the accuracy of tool calling and avoids parameter matching errors |
| Tool call timeout | 300–600 seconds | Data pull for this category involves integration with multi-source systems such as MES and inspection equipment. Sufficient time must be reserved for data collection and comparison |
| Number of returns per single tool call | Top 3–5 entries | The historical defect library data volume for this category is large. Limiting the number of returns avoids context overload while covering typical defect judgment scenarios |
| Plugin input context length | 800–1200 characters | Inspection records and control plan documents for this category are mostly short text. Adapting this length improves document parsing efficiency |
| Plugin cache validity period | 15–30 minutes | Data for this category is updated per batch or per shift. Matching the cache duration to the update rhythm avoids using expired data |
Three Common Configuration Errors
- Symptom: When
toolChoiceis configured asauto, the model does not trigger the custom plugin, and the log shows no tool call records. Cause: The inspection order keywords for this category are not bound in the plugin configuration, or the model context does not include sufficient inspection-related prompt words, preventing recognition of the call demand. - Symptom: The tool call returns no results, and the interface displays "No valid data matched". Cause: No data source mapping is configured between the plugin and the historical defect library or SPC reports for this category, or the correct batch number parameter is not carried during data pull.
- Symptom: The model incorrectly calls an unauthorized plugin, triggering a release permission verification failure. Cause: No role verification rules are bound, or
functionCallis configured without limiting only authorized roles to call release-related plugins.
How to Verify Successful Configuration
- Manually trigger a tool call, check if the log shows the corresponding plugin call request and return data, and verify that the data matches the batch number of the current inspection order.
- Adjust
toolChoicetoauto, enter a test question containing inspection item keywords, and confirm whether the model automatically triggers a tool call. - Simulate an unauthorized role initiating a tool call, confirm whether a permission interception prompt is triggered, and verify that the role verification configuration is active.
- View the plugin's cache log, confirm that data refresh within the cache validity period matches the update rhythm of this category.
The values provided are common starting points and should be measured against the reader's own samples.