What the data for this category looks like
Daily decoration industry yield market data comes from three sources: public statistical databases of decoration industry associations, building material supply chain inventory and sales platforms, and project ledgers from anonymous decoration enterprises. Data is compiled and released for the full previous day’s dataset every early morning. Each data entry includes a unique project identifier, affiliated region, decoration type, total input cost, total revenue, and calculated yield value. Fields cover basic project attributes and financial metrics. Cost and revenue are denominated in RMB. Yield is a dimensionless ratio value, without percentage conversion.
What constraints these characteristics impose on tool calling and plugins
Multi-source data collection requires tool calling to integrate at least two data sources. Plugins must support cross-source data aggregation logic. The daily update rhythm requires tool calling to use a fixed scheduled trigger cycle, to avoid retrieving expired historical data. Fields include layered attributes for region and decoration type. Plugins must support filtering by dimension, otherwise broadcast content will mix data from different regions and project types. Yield is a calculated metric. It requires secondary processing via logic configured in tool calling. Directly calling originally collected financial fields will lead to inaccurate data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
plugin_schedule | 2:00 AM daily | Decoration industry yield data typically completes daily updates by 1:00 AM. Triggering 1 hour early ensures access to the latest complete dataset |
plugin_data_sources | Decoration industry public statistical database, building material supply chain inventory and sales platform | Matches official collection sources for decoration industry yield data, avoiding erroneous data from non-compliant data sources |
tool_call_timeout | 300 seconds | Average time for multi-source data aggregation calls typically ranges from 2 to 4 minutes. Setting 300 seconds covers normal return durations |
context_filter | Exclude all plugin call history | Prevents past plugin call records from interfering with context consistency for current daily yield broadcasts |
response_field_mapping | Map fields by region, decoration type | Decoration industry data is layered by region and project type. Mapping allows quick generation of categorized broadcast content |
retry_max_times | 2 times | Addresses scenarios such as network fluctuations or temporary data source unavailability, preventing broadcast interruptions from single failed calls |
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 case-by-case analysis, and it is recommended to test with your own samples before finalizing.
Three Common Misconfigurations
- Symptom: Tool call history is retained in conversation context, causing subsequent yield broadcasts to repeatedly reference plugin call details. Cause: The
context_filterparameter is not configured to filter plugin call logs. - Symptom: No data source plugins related to decoration industry yield rates are available in the plugin marketplace. Cause: Third-party data source plugin permissions are not enabled, or the platform has not been upgraded to the latest version supporting this type of data source.
- Symptom: Tool API calls remain in a waiting state for response payloads with no error prompts. Cause: The
tool_call_timeoutvalue is set lower than actual data source return latency, or theretry_max_timesparameter is not configured to handle temporary network fluctuations.
How to Verify Proper Configuration
- Manually trigger a tool call, and confirm the returned dataset includes basic attribute and financial metric fields for decoration projects, with field names matching the mapping rules configured in
response_field_mapping. - View plugin scheduling logs to confirm whether the previous day’s complete dataset was successfully pulled at the configured trigger time, with no data source connection failure errors.
- Enable context debugging mode to check if conversation context has filtered out plugin call history, retaining only content related to yield broadcasts.
- Simulate multiple tool calls, and confirm automatic retries are triggered when temporary network errors occur, with successful data retrieval after retries.
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.