What the data for this category looks like
Intelligent due diligence data for communications equipment originates from carrier operation and maintenance management platforms, exported files from built-in device network management systems, and collection results from third-party communications equipment monitoring tools. Data update rhythms fall into three categories: core operating parameters are updated in real time, alarm summary data is generated hourly, and monthly inspection reports are archived daily.
Two document structure types are supported: structured export files (JSON/CSV format, with standardized fields) and unstructured inspection PDFs (containing device parameter tables and alarm detail paragraphs). Fields include device_sn, port_speed (unit: Gbps), uptime_hours, alarm_level, firmware_version, and physical location longitude and latitude fields. Some fields have clear physical unit identifiers.
How these characteristics impose constraints on model access and configuration
Communications equipment data includes a large number of numerical fields with physical units. Clear unit mapping rules must be defined during model access to avoid deviations in numerical parsing. Unstructured inspection reports can span dozens of pages. Context window parameters must be adjusted to accommodate long text input requirements. Real-time updated core operating parameters require model call synchronous frequencies to match data update rhythms, preventing use of expired data. The recognition accuracy of unique identifiers such as device serial numbers directly impacts due diligence report accuracy. Entity recognition matching thresholds must be configured to prevent cross-device confusion. Large batch-exported device data files also require adjustments to upload and parsing timeout limits to avoid task interruptions.
How to set the configurations
| Configuration Item | Recommended Values | Rationale |
|---|---|---|
maxContext | 8000–16000 characters | Single-page communications equipment inspection reports are typically thousands to tens of thousands of characters long, to accommodate long text input requirements |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Unstructured inspection PDFs contain multi-page tables and parameter lists, requiring sufficient time for parsing |
UPLOAD_FILE_MAX_SIZE | 200 MB | The size of batch device data export files or single detailed inspection reports usually does not exceed this threshold |
FUNCTION_CALL_ENABLED | Enabled | Tool functions for field mapping and unit conversion must be called to complete structured data parameter parsing and standardization |
SIMILARITY_THRESHOLD | 0.85–0.92 | Matches unique entities such as device serial numbers and port identifiers, balancing recognition accuracy and recall efficiency |
MAX_TOKENS | 4096–8192 | Intelligent due diligence report output must cover multiple dimensions including device status and alarm analysis, to accommodate long output requirements |
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 settings.
Three common mistakes
- Phenomenon: Model function calls return empty results or results that do not meet format requirements. Cause: Special unit conversion function rules are not configured for communications equipment's unit-bearing fields, leading to deviations in numerical and unit parsing.
- Phenomenon: A
413 Request Entity Too Largeerror is returned after uploading batch device data files. Cause: TheUPLOAD_FILE_MAX_SIZEconfiguration item is not adjusted, and the file size exceeds the platform's default limit. - Phenomenon: Cross-device matching occurs when the model identifies devices, returning incorrect device operating status. Cause: The
SIMILARITY_THRESHOLDconfiguration value is too low, leading to incorrect recall and matching of low-similarity device serial numbers.
How to confirm that configurations are properly set
- Upload the longest single inspection PDF file, check whether the parsing status is normal, and adjust related timeout configurations based on parsing results.
- Import a set of device data with units, verify whether the model can correctly extract and convert field values and units, and adjust function call-related configurations based on parsing results.
- Import multiple sets of device serial number data, check whether the matching results returned by the model only include target devices, and adjust entity recognition threshold configurations based on matching accuracy.
- Initiate an intelligent due diligence report generation task, check whether the output content covers core dimensions such as device operating parameters and alarm analysis, and adjust context and output token configurations based on output length.
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.