What the data for this category looks like
Jewelry data primarily comes from brand SKU management systems, product detail pages on e-commerce platforms partnered with financial institutions, and inventory ledgers from offline partner stores. Update schedules adjust with new product launches and inventory changes. Routine bulk updates occur monthly. Individual data documents include fields such as SKU code, material type, unit weight (unit: gram), size parameters (unit: millimeter), design style, applicable wearing scenarios, official guide price, main image resource links. Some categories also include subfields such as inlay material and chain length.
What constraints these characteristics impose on tool calling and plugins
The multiple subfields of jewelry data require tool calling to accurately match field parameters and avoid generalized extraction. Numeric fields with units such as unit weight and size require tool calling to retain unit formats. Failure to do so will cause parameter errors in subsequent marketing content generation. The diversity of multi-scenario and style fields requires plugins to support filtering data by field combinations. This adapts to targeted calls for different marketing scenarios. The uniqueness of SKU codes requires tool calling to pass accurate identification fields and avoid data matching confusion. Some jewelry data includes inventory change information. This requires plugins to configure permission verification parameters when called to restrict unauthorized access.
How to configure settings
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
TOOL_REQUEST_TIMEOUT | 120 seconds | Jewelry data has multi-dimensional fields, so parsing and calling take longer. Reserve sufficient timeout time |
REQUIRE_FIELD_LIST | ["SKU code", "material", "unit weight", "size"] | Marketing content generation requires core jewelry attributes. Forcibly extract specified fields |
PLUGIN_AUTH_MODE | Signature verification | Some jewelry data includes inventory information. Use signature verification to restrict plugin call permissions |
TOOL_CALL_MAX_RETRIES | 2 times | Jewelry data sources are scattered. Single calls may fail due to network fluctuations. Set a reasonable number of retries |
PARSE_NUMERIC_FIELD_UNIT | Retain original units | Unit weight and size of jewelry must retain gram and millimeter units. Avoid parameter errors in generated content |
FILTER_RULE_COMBINE | Logical AND | Match multiple filtering conditions such as style and scenario simultaneously. Ensure called data meets marketing targeting requirements |
The parameter values provided here are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Analyze specific issues on a case-by-case basis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- The phenomenon is that calling a text extraction tool returns 400 Invalid JSON payload, with the prompt Unknown name field. The cause is that the passed JSON contains extra fields not defined in jewelry data, such as custom properties not declared in the configuration.
- The phenomenon is that calling a workflow API fails to retain context information. The cause is that the
chat_historyparameter is not passed in the API request body, or workflow context persistence configuration is not enabled. - The phenomenon is that calling a question classification workflow API returns results that do not match the classification task. The cause is that the task type of the
modelparameter is not set correctly, a general question answering model is used by mistake, and a classification-specific model is not used.
How to confirm that the configuration is correct
- Initiate a test call, pass known jewelry SKU data, and check if the returned JSON fields include the required items declared in the configuration.
- View plugin call logs to confirm that the permission verification link does not block legitimate requests, and that the timeout time is not triggered.
- Pass multiple sets of filtering parameters with different styles and scenarios, and check if the returned jewelry data conforms to the combined filtering rules.
- When testing a workflow API call, pass historical conversation data, and check if context information can be correctly reused.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.