What This Category of Data Looks Like
Data sources for aerospace equipment research reports mainly come from defense and military industry think tanks, internally published research results from aerospace systems, industry dynamics documents released by industry associations, and specialized research reports on military sub-sectors obtained legally by financial institutions. For update rhythm, industry dynamics documents are updated alongside industrial event milestones. Specialized research reports are released alongside project initiation and test milestones, with no fixed weekly or monthly cycle, updated on demand. Document structures usually include project parameters such as launch vehicle thrust, satellite orbit altitude, model series, test data, and upstream and downstream revenue data of the industrial chain. Most fields carry professional units, such as kilonewtons (kN), kilometers (km), kilograms (kg). Some public documents mark applicable scope to meet compliance usage requirements.
What Constraints Do These Characteristics Impose on Tool Calling and Plugins
Dispersed data sources and non-fixed update cycles for aerospace equipment research reports require tool calling to support mixed multi-source pulling and on-demand synchronization. Fixed-cycle scheduled tasks cannot be relied upon. A large number of structured parameters with professional units are included in the documents. Tool calling must configure unit recognition and standardization rules to avoid deviations in analysis results caused by unit mismatches. Some public documents have desensitization scope markings. Tool calling must be linked to permission filtering configurations to only call desensitized compliant content. The structural characteristics of long-form specialized research reports require that the document segmentation rules of tool calling adapt to professional parameter paragraphs, to avoid truncation of core technical data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Aerospace equipment specialized research reports have relatively long lengths. Sufficient document parsing time must be reserved to meet the batch processing needs of financial research |
PARSE_SPLIT_LENGTH | 1000–1200 characters | Avoid truncating core technical parameter paragraphs containing professional units, and ensure the integrity of parameters for financial analysis |
recall_top_k | Top 8–10 results | Cover multi-dimensional retrieval needs for sub-parameters, and ensure information coverage for financial research |
rerank_top_n | Top 3–5 results | Accurately screen valid documents matching professional parameters, and reduce interference from irrelevant content on financial analysis |
ACCESS_CONTROL_ENABLE | Enabled | Adapt to the desensitized content permission management requirements of aerospace equipment research reports, and meet the compliance standards of financial institutions |
PLUGIN_API_TIMEOUT | 120 seconds | Adapt to the response delay characteristics of external military industry data source interfaces, and ensure the stability of tool calling |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing the configuration.
Three Common Misconfigurations
- Phenomenon: Incorrect parameter matching results are returned when calling external military industry data source plugins. Cause: No plugin execution sequence trigger rules are configured, leading to parallel calls disrupting the dependency logic of parameter matching.
- Phenomenon: Professional unit confusion appears in retrieval results, such as splitting "kilonewtons (kN)" into "kilo" and "newtons". Cause: The segmentation rule is not configured according to the recommended value of
PARSE_SPLIT_LENGTH, leading to incorrect splitting of unit fields. - Phenomenon: A 403 permission error is returned when calling FastGPT tools through an external system. Cause: The
ACCESS_CONTROL_ENABLEconfiguration is not enabled, or the caller is not configured with access permissions for the corresponding desensitized research reports.
How to Verify Proper Configuration
- Upload a copy of an aerospace equipment specialized research report, check the parsed segmentation results, and confirm that professional parameters and units are not incorrectly split.
- Initiate a research report retrieval request, verify that the parameter units in the returned results are consistent with the original documents, and there is no confusion.
- Configure test external call credentials, initiate a tool call request, and confirm that the permission verification logic takes effect normally.
- View the tool call logs, confirm that the plugin execution sequence conforms to the preset dependency rules, and there is no parallel disorder.
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.