What the data for this category looks like
Data for financial sector software development intelligent due diligence reports mainly comes from commit logs on public code hosting platforms, project requirement documents, test reports, and third-party dependency component lists. The data update rhythm adjusts in real time alongside code commits, requirement changes, and version releases. The document structure includes basic project information, code change records, dependency component lists, test results, and compliance notes. Fields include project ID, commit hash, dependency version number, vulnerability level, update time, and others. The commit hash is a hexadecimal string, dependency versions follow semantic version format, update time uses ISO 8601 format, lines of code are counted in units of lines, and the number of vulnerabilities is counted in individual units.
What constraints these characteristics impose on the "model access and configuration" link
Data for financial software development due diligence reports comes from scattered sources, so adaptation rules for multi-source data access must be configured to support different formats of logs and inventory files. Data update frequency adjusts in real time with project progress, so scheduled synchronization parameters need to be configured, and incremental synchronization must be supported to avoid repeated processing of historical data. There are many document fields with inconsistent formats, so field mapping rules need to be configured to convert custom fields from different sources into standard formats recognizable by the model. Some data such as code change records and dependency component lists are lengthy, so adaptation to the model's context window limit is required, and tool calling must be supported to supplement real-time vulnerability information and code repository data.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Software development due diligence reports contain large amounts of code changes and dependency lists. This range adapts to the context window limits of mainstream large models and prevents content truncation |
embeddingModelProvider | Select a dedicated model based on data type | Code-specific embedding models are suitable for code data, while general embedding models work for non-code text, which improves semantic matching accuracy |
SYNC_INTERVAL_HOURS | 1–4 hours | Software development projects have relatively high change frequencies. This interval balances data freshness and system load, avoiding resource occupation from frequent synchronization |
enableToolCall | Enabled | Due diligence requires querying third-party vulnerability information and code repository commit records. Tool calling can supplement real-time data that the model cannot obtain directly |
fieldMappingRule | Map using preset rules per data source, then make custom adjustments | Field names from different sources are inconsistent. Unified standard field formats recognizable by the model must be used to ensure correct data processing |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Due diligence reports contain large numbers of code files and dependency lists, which take longer to parse. This duration prevents routine report parsing from being interrupted by timeouts |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: The model fails to trigger the preset search process and only returns plain text responses. Cause: The
enableToolCallparameter is not set to Enabled, or the selected model does not declare support for the tool calling protocol. - Symptom: Scheduled synchronization tasks frequently time out and interrupt. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is set too short, failing to adapt to the parsing time required for large due diligence reports. - Symptom: Dependency component fields in imported due diligence reports are empty. Cause: The
fieldMappingRuleis not configured to map data source fields to standard fields, causing the model to fail to recognize custom field formats.
How to confirm the configuration is complete
- Submit a standard software development due diligence report, check whether the system triggers scheduled synchronization according to the configured
SYNC_INTERVAL_HOURSparameter, and confirm that the incremental synchronization logic works normally. - Initiate a query that includes code change inquiries or vulnerability inquiries, check whether the model calls preset tools to obtain external information, and verify that the
enableToolCallparameter is effective. - Upload a large-volume due diligence report, check whether the parsing process completes within the
PARSE_FILE_TIMEOUT_SECONDSduration, and confirm that the timeout parameter is set appropriately. - Check the text similarity matching results after embedding, confirm that the matching accuracy of code data meets expectations, and verify that the embedding model selection 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.