What the data for this category looks like
Thermal industry research report data comes primarily from public documents of national and local energy regulatory agencies, statistical data from thermal industry associations, annual and quarterly financial reports of listed thermal supply enterprises, and special research documents from third-party energy consulting institutions. Update cycles include fixed and ad-hoc updates. Fixed updates: Quarterly reports are released 1 to 2 weeks after the end of each quarter. Annual reports are released before March of the following year. Ad-hoc updates are released alongside heating price adjustments, coal price fluctuations, and regional heating policy changes. Document structures typically include four modules: core business indicators, regional market supply and demand analysis, policy impact interpretation, and operational risk reminders. Core fields include heating coverage area, unit heating cost, coal consumption rate, annual total heating volume, and regional coverage scope. Standard units for each field are ten thousand square meters, yuan/gigajoule, kilogram standard coal/gigajoule, and gigajoule respectively.
What constraints these characteristics impose on tool calling and plugins
Scattered data sources require plugins that connect multiple types of data to complete integration. Tool calling logic must support parallel calls to multiple data source APIs. The combined fixed and ad-hoc update rhythm requires that plugin cache times not be too long. This prevents returning outdated quarterly or annual data. Documents contain many professional indicators with specialized units. Tool calling must accurately extract specified fields and complete unified unit conversion. Otherwise, ambiguous responses will appear in question answering. Core decision-making indicators for thermal industry research reports are concentrated in the first half of documents. Tool recall must prioritize matching core fields to avoid redundant content occupying context windows. Some ad-hoc special research reports have no fixed format. Plugins must support dynamic recognition of document structures.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_top_k | Top 8-12 entries | Core indicators of thermal industry research reports are contained in the top 10 recall results. Excessive recall increases context length and reduces model response speed |
plugin_cache_ttl | 7200 seconds | Quarterly research report update cycle is 1 to 2 weeks after the end of the quarter. Caching for 2 hours balances timeliness and call efficiency |
field_extract_rules | Extract based on "heating area, unit heating cost, coal consumption rate" | Core decision-making indicators of thermal industry research reports are fixed. Narrowing the extraction scope improves field matching accuracy |
unit_convert_switch | Enabled | Research reports use multiple units such as gigajoule, ten thousand square meters, and kilogram standard coal. Unified conversion avoids unit ambiguity in question answering results |
tool_call_timeout | 300 seconds | Sufficient time must be reserved to obtain complete data when splicing multiple data sources, to avoid call timeouts |
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 conduct testing on sample data before finalizing configuration values.
Three Common Mistakes
- Phenomenon: Tool calls return empty results, with a 200 status code but empty result fields. Cause: Cross-source access permissions are not configured for cross-team knowledge bases, or the knowledge base index does not cover dedicated business fields for thermal industry research reports.
- Phenomenon: Tool calls time out, returning the
ETIMEDOUTerror code. Cause: Thetool_call_timeoutparameter is not set appropriately, or multi-data source parallel calls are not split logically, causing total time to exceed the threshold. - Phenomenon: Units returned by the tool are mixed, with square meters and ten thousand square meters appearing together in question answering. Cause: The
unit_convert_switchconfiguration is not enabled, and unified unit conversion rules are not applied.
How to Confirm the Configuration Is Correct
- Initiate a test call, check whether the top 10 recall results include preset core business fields.
- Check tool call logs to confirm that the cache expiration time matches the
plugin_cache_ttlconfiguration. - Verify that unit conversion is effective, confirm that all values are unified to standard units.
- Check tool call response duration, confirm that it does not exceed the threshold set by
tool_call_timeout.
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.