Data Profile for This Category
Cosmetics profit margin and market data comes from publicly available e-commerce platform sales data, official inventory and sales data disclosed by beauty brands, and public reports from third-party beauty industry monitoring institutions. Update rhythms vary across sources: e-commerce sales data updates daily, internal brand inventory and sales data syncs weekly, and third-party monitoring data updates every two weeks. Individual data entries include SKU code, product name, affiliated brand, sales channel, statistical cycle, total revenue, total cost, total gross profit, and proportion value of associated popular ingredients. The corresponding fields are: sku_code (string), product_name (string), total_revenue (float, unit: CNY), total_profit (float, unit: CNY), hot_ingredient_ratio (float, range 0-1).
Constraints for Tool Calling and Plugins
The scattered nature of data sources requires plugins to support multi-source data aggregation calls. Plugins must connect to distinct APIs of e-commerce platforms, brands, and third-party monitoring institutions, and handle permission verification differences across each API. Varying update frequencies require configuring differentiated scheduled trigger rules. Set daily triggers for daily-updated e-commerce data, and weekly triggers for weekly-updated brand inventory and sales data, to avoid pulling outdated data. The special field structure requires separate configuration of plugin input and output mappings. For example, the hot_ingredient_ratio for cosmetics uses a float format within the 0-1 range. Format verification and conversion must be completed after the plugin returns data, and mapping logic from other product categories cannot be reused directly. The large number of cosmetic SKUs requires setting reasonable pagination parameters during tool calls, to avoid interface timeouts caused by excessive returned data volume.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
plugin_trigger_cron | 0 0 1 * * * (daily trigger), 0 0 0 * * 0 (weekly trigger) | Adapts to the update rhythms of different cosmetics data sources. Use daily triggers for daily-updated e-commerce data, and weekly triggers for weekly-updated inventory and sales data |
plugin_data_fetch_timeout | 600 seconds | Most cosmetics-related data interfaces come from third-party platforms with high response delays; 600 seconds covers most normal response durations |
plugin_batch_size | First 50 entries | Excessive single-batch data volume easily causes interface timeouts; 50 entries balances data completeness and response speed |
plugin_input_mapping_mode | custom_field_mapping | Cosmetics data includes exclusive fields such as hot_ingredient_ratio, so custom mapping rules are required for adaptation |
plugin_cache_expire_time | 86400 seconds | E-commerce sales data updates daily; caching for one day avoids repeated pulling that wastes interface resources |
plugin_publish_scope | private_community | Cosmetics-exclusive plugins should only be accessible to beauty industry users, to avoid misuse by general scenario users |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Network search nodes are configured in non-tool calling mode, but the final broadcast content does not include real-time cosmetics profit margin and market data. Cause: In non-tool calling mode, the large language model can only use built-in context and historical data, and cannot actively call external nodes to pull real-time data. Switch to tool calling mode to trigger nodes.
- Symptom: After uploading the plugin, it cannot be found in the community plugin list. Cause:
plugin_publish_scopeis not configured to a value that meets community publishing requirements, or the platform's plugin qualification verification process has not been completed. - Symptom: After selecting the JSON input box in plugin input configuration, preset global variables cannot be selected during calling. Cause: The current JSON input box does not directly support binding global variables. Variables must be passed into the JSON structure via string serialization.
How to Verify Successful Configuration
- Manually trigger plugin calls, check that returned data fields include cosmetics-exclusive fields such as
sku_codeandtotal_profit, and that numerical formats conform to preset rules. - View the plugin's scheduled trigger logs, confirm that trigger times for different data sources match the configured
plugin_trigger_cronexpressions. - Attempt to bind global variables to plugin input during the call, check that the JSON input box can correctly receive variable parameters and complete serialization.
- After publishing the plugin, search for the plugin name in the community, confirm that the entry displays normally and permission configurations meet expectations.
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.