What Data for This Category Looks Like
The core data sources for black home appliances are official brand parameter pages, e-commerce platform product detail pages, national energy efficiency label databases, and after-sales maintenance records. Data update timings shift with new product launches and energy efficiency standard adjustments, with no fixed cycle. Individual product documentation follows a fixed structure, including model identifiers, energy efficiency ratings, physical dimensions, rated power consumption, and core functional parameters. Units use metric standards exclusively, such as centimeters, kilowatt-hours, and hertz. Some functional parameters include industry-standard performance indicator units.
Constraints for Tool Calling and Plugins
Scattered data sources and fixed product documentation structure create multiple constraints for tool calling and plugins. In multi-source scenarios, configure separate interface request rules for each brand and e-commerce platform to adapt to different authentication methods and parameter formats. The lack of fixed update cycles requires short-term cache policies for tool calling, to avoid returning outdated new product parameters or energy efficiency data. Fixed field structures demand that tool response parsing logic strictly matches the preset field list. Define mapping rules for each field in advance to prevent parsing failures. Build unit validation logic into the plugin to meet the unified metric unit requirement, ensuring marketing content parameter units comply with industry specifications.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
toolCallCacheTTL | 1800–3600 seconds | Black home appliance data updates have no fixed cycle; short-term caching balances data timeliness and interface call frequency |
maxToolCallsPerRound | 3–5 times | A single black home appliance product has many core parameter fields; multiple rounds of calls can cover all necessary information |
PARSE_TOOL_TIMEOUT | 15 seconds | Response speeds of official brand parameter pages and e-commerce platform interfaces are generally slow; an overly short timeout will cause valid data retrieval to fail |
responseParseMode | Strict field matching | Black home appliance product documentation has a fixed structure; strict matching avoids missing key parameters during parsing |
rerankReturnCount | Top 3–5 entries | Black home appliance marketing content requires precise matching of core parameters; excessive recall increases content redundancy |
customToolAuthConfig | Configure per corresponding interface documentation | API authentication rules vary by brand; request headers and parameters require separate adaptation |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- A
connect ECONNREFUSEDerror appears during tool calling, and brand parameter data cannot be retrieved. This occurs when the custom tool’s target interface address is not configured correctly, or the corresponding interface service is not running properly. - Tool calling logic does not respond when using a locally deployed model. This happens when the model’s interface address and authentication parameters are not correctly bound in the plugin configuration, preventing the model from sending tool calling requests.
- Tool calling returns parameter units that do not comply with industry specifications. This occurs when unit validation logic is not added to the plugin, and non-standard units from the data source are used directly, leading to parameter errors in marketing content.
How to Verify Proper Configuration
- Run a tool calling test for a single black home appliance product, and confirm that returned parameter fields match the preset product documentation structure.
- Review tool calling logs to verify that interface request authentication parameters, request addresses, and configuration items align, with no abnormal errors.
- Adjust the tool calling cache duration, and check whether returned data timeliness meets expected standards across different durations.
- Trigger multiple rounds of tool calling, confirm that call counts do not exceed the configured maximum limit, and that all core parameters are covered.
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.