What the Data for This Category Looks Like
Data sources for ordnance equipment intelligent due diligence reports include public annual reports of military industrial groups, weapon equipment type approval reports, national defense procurement announcements, and public materials from military industry associations. These data are primarily used for due diligence on military entities in financial scenarios.
Update frequencies vary across data sources. Type approval reports are updated once after equipment is finalized. Procurement announcements are released monthly. Annual reports are updated quarterly.
Document structure includes fields such as equipment model, finalization time, manufacturer, core performance parameters, fielded units, and procurement budget. Core performance parameters include range, rate of fire, with units of kilometers and rounds per minute. Some parameters use military-specific terminology.
What Constraints These Characteristics Impose on Tool Calling and Plugins
The scattered data sources for ordnance equipment intelligent due diligence require tool calling to connect to multiple public channels at the same time. Multi-source plugins must be configured to pull data across sites.
Differences in update frequencies require plugins to support scheduled synchronization tasks. Sync periods must be adjusted to match the update frequency of each data source.
The need for specialized terminology and standardized parameters requires plugins to include built-in term mapping rules. These rules prevent the model from misinterpreting military-specific expressions.
Differences in document length require tool calling to adapt to long context processing. This avoids data loss from long text truncation.
Additionally, fields such as procurement budget have unit variations. Plugins must support standardized unit conversion. This ensures accurate data in due diligence reports.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
multi_source_plugin_enabled | Enabled | Ordnance equipment due diligence data is scattered across multiple sources including military industrial group official websites and national defense procurement announcement platforms. Multiple interfaces must be called simultaneously to obtain complete data |
fetch_timeout_seconds | 240 seconds | Military public document pages have high loading delays. Some sites have response delays exceeding standard thresholds, so the timeout threshold must be relaxed |
long_context_window | 16384 characters | A single ordnance equipment type approval report can reach ten thousand words in length. Long context processing must be supported to avoid data truncation |
special_term_mapping | Enabled | Ordnance equipment uses specialized terminology. Plugins must standardize terms such as "fielded finalization" and "mass production phase" to prevent model recognition errors |
plugin_sync_cron | 0 2 * * 0 | Public procurement announcements are updated weekly. Weekly synchronization covers the latest procurement and fielding information |
stream_data_merge_strategy | Group by equipment model | Stream data returned by tool calling is spliced by different equipment categories, which improves the readability and structuring of due diligence reports |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom:
llm-model-response-emptyerror is returned after tool calling. No valid due diligence data is available. Cause: Site authentication information for multi-source plugins is not configured. Access to military public data channels is blocked. The model cannot obtain valid input data. - Symptom: Stream data returned by tool calling is spliced incorrectly. Parameters from different ordnance equipment are mixed together. Cause:
stream_data_merge_strategyis not set to Group by equipment model. No structured grouping processing is applied to returned data. - Symptom: Tool calling log text is included in the generated due diligence report. Cause: The configuration item that hides intermediate tool call output is not enabled. Plugin execution process is synchronously output to the final result.
How to Confirm Configuration Is Complete
- Manually trigger a multi-source plugin synchronization task. Check if public data for multiple types of ordnance equipment can be obtained. Verify that multi-source configuration is effective.
- Review tool calling logs. Confirm that the timeout limit set by
fetch_timeout_secondsis not triggered. Verify that timeout configuration is reasonable. - Generate a single long-text ordnance equipment due diligence report. Check that there is no context truncation. Verify that long context configuration is compatible.
- Review the final generated due diligence report. Confirm that there is no tool calling log content. Verify that output configuration is correct.
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.