What the data for this category looks like
Power grid equipment-related yield rate and market data primarily comes from publicly available operation and maintenance datasets released by power industry regulatory bodies, and third-party power equipment market aggregation APIs. Two update schedules apply: daily report data is updated at a fixed time each day, while real-time market data is synchronized every 10 minutes. Data is returned as structured JSON documents, containing three modules: basic equipment information, performance indicators, and associated financial indicators. Fields include unique equipment identifier, operation node code, same-day performance deviation rate, operation and maintenance cost proportion, market fluctuation range, and data update timestamp. Each field has clear business meaning and corresponding units.
What constraints these characteristics impose on tool calling and plugins
Multiple data sources require that tool calling must configure data source priority and deduplication rules to avoid redundant data pulls for the same equipment. Fixed-time updated daily report data requires that scheduled task trigger times match the regular settlement and data update times of the power grid industry, otherwise incomplete updated datasets will be pulled. Structured field module division requires that plugins configure field mapping templates to convert non-standard fields from raw data into a unified format required for financial reporting. High-frequency real-time market synchronization requires that the request interval for tool calling must adapt to the API's rate limiting threshold to avoid triggering access restrictions, while balancing data timeliness and call frequency.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
tool_call_timeout | 600 seconds | Adapts to the average response time of power grid equipment data APIs, preventing task interruptions caused by data pull timeouts |
plugin_request_interval | 10–15 minutes | Matches the update frequency of real-time market data, balancing timeliness and API rate limits |
scheduled_trigger_time | 17:30 daily | Matches the regular update time of daily report data in the power grid industry, ensuring complete same-day data is pulled |
field_mapping_mode | Map by module | Adapts to the structured module division of raw data, simplifying the field conversion process |
request_rate_limit | 10 requests per minute | Adapts to the rate limiting rules of most power equipment market APIs, avoiding access blockages |
enable_tool_call_log | Enabled | Retains detailed records of tool calls to facilitate subsequent troubleshooting of abnormal issues |
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 on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Tool call records are not displayed in the platform backend, and call details cannot be viewed. Cause: The
enable_tool_call_logconfiguration item is not enabled, so the platform does not retain call log data. - Symptom: The equipment yield rate field returned after a call is empty. Cause: The
field_mapping_modeparameter is not configured, so raw data fields are not mapped to standardized fields required for reporting. - Symptom: Scheduled tasks return the previous day’s data after triggering. Cause: The
scheduled_trigger_timesetting does not match the daily report update time of the power grid industry, resulting in pulled data that has not completed same-day updates.
How to Confirm Configurations Are Correct
- All configuration items for the corresponding plugin are checked on the platform’s tool management page, confirming that values match the preset plan.
- A manual tool call is triggered, and the returned structured data is verified to include all preset fields, with field formats meeting reporting requirements.
- The execution logs of the scheduled task are reviewed, confirming that the task triggers at the preset time and the data update time of the pulled data matches the same-day time period.
- Multiple high-frequency calls are simulated, checking whether rate limiting blockages are triggered, and confirming that the
request_rate_limitsetting adapts to the rules of the corresponding API.
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.