This document is compatible with FastGPT v4.17.0
What the data for this category looks like
The core data for this category comes from orders and size charts, CAD patterns, fabric and accessory inspection records, hanging system data, needle detector results, and customer sealed samples. Daily output documents include process sheets, layout plans, cutting lists, first article sealed sample forms, process quality tables, packaging and size matching lists, and other related documents. Data is updated per order, per style, per batch. Document fields include specific sizes, cut piece quantities, fabric color numbers, process operation requirements, and additional details. Units are mostly physical measurement units such as centimeters, pieces, meters, and similar physical units.
What constraints these characteristics impose on the tool calling and plugins link
The data for this category is updated dynamically per order, per style, per batch. Tool calling must support binding to the exclusive document source for the corresponding batch. Daily documents include mixed structured and unstructured content such as CAD patterns and layout plans. Plugins must adapt to multi-format document parsing logic. Cut pieces are irreversible, and errors directly impact delivery. Tool calling must strengthen the accuracy of cross-document cross-checks. Additionally, the characteristics of multiple styles and strong seasonality require plugins to support quick switching of calling context by style number to avoid confusion across batch data.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Tool calling mode | functionCall | This category requires precise calling of document parsing and field verification tools. functionCall can force specified tool calling logic to avoid free generation deviating from business verification requirements |
| Single tool call timeout | 300–600 seconds | Need to wait for CAD pattern parsing and multi-document field cross-matching. This interval covers most verification scenarios for single-batch orders, calibrated based on actual measurements |
| Retrieved document limit | Top 8 entries | The number of documents associated with a single batch of orders is moderate. Retrieving too many increases context processing burden, while retrieving too few misses key verification basis |
| Plugin input parameter verification | Enabled | Need to verify the format compliance of core fields such as style number, size, fabric color number, etc., to avoid invalid parameters being passed to tools causing verification failures |
| Context binding rule | Bind by order batch | Corresponds to the rhythm of data updated per order and per batch, ensuring consistent context during the same batch review to avoid confusion across batch data |
Three common mistakes
- Phenomenon: An error "Unable to read the specified document" is returned when calling the tool, or empty parsing results are returned. Cause: The document source corresponding to the order batch is not correctly bound, or the passed document path does not match the document storage rules updated per batch for this category.
- Phenomenon: The verification result returned after tool calling does not match the actual document fields, and core fields such as size and cut piece quantity are not correctly matched. Cause: Plugin input parameter verification is not enabled, or context binding by order batch is not set, causing old batch document data to be called.
- Phenomenon: Tool calling times out, and verification is not completed within the set time. Cause: The single call timeout setting is too short, or documents from multiple batches are processed simultaneously causing excessive resource occupancy.
How to confirm the configuration is correct
- Manually pass the style number and document path of a test order to check whether the tool can correctly read the corresponding document and return parsing results.
- Simulate passing input parameters that do not meet the format requirements to check whether the plugin triggers verification interception and avoids invalid calls.
- Adjust the single call timeout setting to verify whether the tool can complete cross-verification of single-batch documents within the set interval.
- Switch test data for different style numbers to check whether the context can correctly bind the document source of the corresponding batch, with no cross-batch data confusion.
The values given are common starting points and should be measured against the reader's own samples.