What the data for this category looks like
Data sources for power industry research reports mainly include public reports from power industry associations, official statistical data from the National Energy Administration, regular financial reports of listed power enterprises, and special analysis from third-party energy consulting institutions. Update cycles cover weekly reports, monthly operation briefings, quarterly industrial chain analysis, and annual industry trend reports. Immediate special research reports will be triggered by sudden power policies or energy events. Document structures usually include core operation data, policy interpretation, upstream and downstream industrial chain linkage analysis, and risk warning modules. Core fields include exclusive power industry indicators such as installed capacity (unit: ten thousand kilowatts), power generation (unit: hundred million kilowatt-hours), on-grid electricity price (unit: yuan/megawatt-hour), and unit utilization hours.
Constraints imposed by these characteristics on tool calling and plugins
Exclusive units and segmented fields of power industry research reports require strict matching of data formats during tool calling, to avoid result deviations caused by unit conversion errors. Data sources with multiple update cycles require plugins to support flexible synchronization configuration, distinguishing the pull frequency between regular weekly reports and sudden research reports. The layered industrial chain structure of documents requires tool calling to accurately locate segmented modules such as upstream coal supply and downstream electricity demand, to avoid retrieving irrelevant content. Research reports related to power policies need to be linked to real-time interfaces of authoritative data sources such as the National Energy Administration, so plugins need to adapt to exclusive API permissions.
Configuration Settings
| Configuration Item | Recommended Value | Basis for This Value |
|---|---|---|
tool_call_timeout | 120 seconds | Power industry research reports involve multi-data source aggregation analysis, and the standard timeout period is insufficient to complete complete data pulling and parsing |
recall_top_k | Top 8–12 entries | Power industry research reports have many segmented dimensions, requiring a sufficient number of retrieved documents to cover different modules of upstream and downstream industrial chains |
plugin_sync_interval | Once per week / Once per day | Power industry research reports are divided into two categories of regular updates: weekly reports and monthly reports. Differentiated synchronization cycles can be configured according to data source types |
enable_mcp | Enabled | It is necessary to call the exclusive MCP service of the power industry to obtain real-time data such as electricity prices and power generation |
chunk_size | 800–1200 characters | Power industry research reports contain a large number of technical paragraphs. This segment length can ensure complete contextual logic |
allowed_data_sources | ["Power Industry Association", "National Energy Administration", "Listed Power Enterprises"] | Filter non-authoritative data sources to improve the accuracy of tool calling results |
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 the configuration.
Three Common Configuration Errors
- An error is returned when calling time-related plugins to obtain power operation data. The cause is that the access permission for the MCP service of the corresponding power data source is not configured.
- The interface prompts
The tool call is not supported. The cause is that theenable_mcpconfiguration item is not enabled, or the exclusive tool plugin for the power industry is not bound. - Calling the locally deployed M3E model fails after version 4.8.19. The cause is that the parameter naming format of
model_configwas adjusted after the version upgrade, and the configuration content was not updated synchronously.
How to Verify Correct Configuration
- The FastGPT tool management page can be accessed to check whether the
enable_mcpconfiguration item is enabled, and confirm that the exclusive tool plugin for the power industry is bound. - A test call can be initiated by entering "Query the national thermal power generation volume in the third quarter of 2024", and whether the returned result contains accurate units and segmented data can be verified.
- The plugin synchronization log can be viewed to confirm that the pull cycle of the corresponding power data source matches the configured
plugin_sync_interval. - The local model configuration in
model_configcan be checked to confirm that the address and port of the local M3E service are correct and compatible with the current FastGPT version.
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.