What the data for this category looks like
Data sources for black home appliance intelligent due diligence in the financial sector include official brand specification pages, national energy efficiency label platforms, e-commerce platform product detail pages, and public reports from third-party testing institutions. The update rhythm is to synchronize core parameters within 24 hours after a new product launches, batch adjust energy efficiency parameters when national standards are updated, and update routine parameters on a monthly basis. Single-category documents are grouped by subcategories such as TVs, air conditioners, and audio equipment, with a structure divided into basic parameters (size, weight, rated power), performance parameters (cooling capacity, energy efficiency ratio), and compliance parameters (energy efficiency rating, 3C certification number). Field units follow clear industry specifications: for example, cooling capacity uses watts (W), energy efficiency ratio uses EER/COP, and size uses millimeters (mm). Cross-source data requires unified unit conversion.
What constraints do these characteristics impose on tool calling and plugins workflows
Multiple data sources require plugins to support multi-source aggregation and field mapping, and handle parameter naming differences across platforms to avoid inconsistent parameters in due diligence reports. Differences in update rhythms require plugin configurations to support setting synchronization cycles by different dimensions, to avoid resource waste from frequent requests or data obsolescence that affects due diligence accuracy. Complex field structures require explicitly specifying extracted fields during tool calling, to prevent redundant data from increasing report processing costs. Special unit specifications require plugins to have built-in unit conversion logic, ensuring performance parameters from different data sources can be directly compared. The uniqueness of compliance fields requires prioritizing queries of official data associated with certification numbers when calling plugins, to ensure the authority of due diligence results.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
multi_source_sync_interval | 12 hours | Matches the monthly update rhythm of routine parameters for black home appliances, balancing data timeliness and request costs |
field_mapping_rule | Map according to national standard parameter names | Unifies field naming across multiple data sources, avoiding parameter confusion in due diligence reports |
unit_conversion_enabled | Enabled | Adapts to unit differences across data sources, ensuring performance parameters can be directly compared |
certificate_query_timeout | 30 seconds | Matches typical response delays of third-party testing interfaces, avoiding query interruptions from timeouts |
max_result_return | Top 3 results | Focuses on core due diligence requirements, avoiding returning excessive unnecessary data |
parse_field_whitelist | Energy efficiency rating, 3C certification number, rated power | Only extracts compliance and performance fields that are core concerns for due diligence, simplifying report content |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- The issue: A
403 Forbiddenerror is returned when calling a third-party interface. The cause: Theapi_keyauthentication parameter is not configured, or the authentication key has expired and become invalid. - The issue: A
command not founderror is returned when the plugin-generated code is executed. The cause: Code dependency libraries are not pre-installed in the execution environment, or the working directory for code execution is not specified. - The issue: Compliance fields are empty in the due diligence report. The cause: The trigger format for plugin calls is not clearly specified in the system prompt, causing the AI to fail to recognize the call instruction and extract core fields.
How to confirm the configuration is correct
- Initiate a single-category test query, verify whether the returned results include the preset core fields, and check whether the field units comply with industry specifications.
- View the plugin synchronization logs to confirm that the data update interval matches the configured
multi_source_sync_interval. - Trigger a code generation and execution test, confirm that the generated code can normally call the specified interface and return valid results.
- Check the authentication configuration items to confirm that no authentication-related errors are returned when calling third-party interfaces.
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.