What data for this category looks like
The data sources for military electronics intelligent due diligence mainly include publicly available military qualification information released by relevant national defense science and technology authorities, annual public financial reports of military enterprises, supporting product statistical briefings released by industry associations, and public summaries of military product finalization appraisals. Data update rhythms vary: qualification information is updated quarterly, annual financial reports are updated annually, and military product finalization information is updated irregularly according to project milestones. Document structure is split into two parts: structured fields and unstructured text. Structured fields include military qualification level, military product supporting models, core device parameters, annual military product revenue, and others. Units for core device parameters are mostly gigahertz, watts, kilograms. Financial fields use units of ten thousand RMB. Unstructured text mostly consists of R&D progress descriptions and military product application scenario descriptions.
Constraints for tool calling and plugins
Dispersed data sources and varied formats require tool calling to connect with multiple types of interfaces and document parsing modules, which increases the complexity of plugin configuration. Specialized fields and units require the parsing logic of tool calling to adapt to military electronics-specific terminology, to avoid field recognition errors caused by general parsing. Differences in update rhythms require configuring differentiated scheduled trigger rules for different data sources, to ensure the timeliness of due diligence data. Some documents have long lengths, so the context processing of tool calling needs to adapt to long text splitting and splicing logic, to avoid information truncation affecting analysis results.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Military electronics financial reports and finalization reports are usually long, requiring longer document parsing time |
maxToolCall | 3–5 times | Military electronics due diligence requires calling multiple types of data source tools. This value balances calling efficiency and result completeness |
toolContextWindow | 8000–12000 characters | Military electronics professional documents have long paragraph lengths, adapting to long-context tool calling requirements |
UPLOAD_FILE_MAX_SIZE | 500 MB | Scanned documents or PDFs of large military product finalization reports have large file sizes, meeting large file upload requirements |
toolRetryTimes | 2 times | Military data source interfaces may have temporary access restrictions. Limited retries can improve calling success rate |
similarityThreshold | 0.75–0.85 | Matching military professional terminology requires a high similarity threshold, to avoid irrelevant information being recalled |
The parameter values provided on this page are all 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 settings.
Three common errors
- Phenomenon: Military core product parameters such as frequency band and power returned by tool calling are missing or incorrect. Cause: No field mapping rules for military professional terminology are configured, and general parsing logic cannot recognize exclusive field tags.
- Phenomenon: Rate limit errors are triggered when 2 or more tool calls are initiated simultaneously, with status code 429 returned. Cause: The
maxToolCallconfiguration is not adjusted, and the system default call frequency limit is insufficient, resulting in concurrent requests being blocked. - Phenomenon: Tool interface calls fail in some regions. Cause: No proxy settings adapted to regional network environments are configured, or the interface domain name is not added to the access whitelist, resulting in regional network restrictions blocking requests.
How to confirm the configuration is correct
- Upload a public annual financial report of a military electronics enterprise, check whether the fields extracted by the parsing module cover the preset military electronics-specific fields, and verify whether the field mapping configuration takes effect.
- Initiate a test task that includes calls to multiple data sources, check the execution times in the tool call logs, and confirm that they meet the configured call limit.
- Enable the multimodal plugin and upload physical images of military product models, check whether the recognition results include professional model parameters.
- Switch to different network environments to call tool interfaces, and confirm that there are no abnormal blocks in interface access.
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.