What the Data for This Category Looks Like
Data sources for general miscellaneous intelligent due diligence reports include public government databases, third-party risk control application programming interfaces (APIs), industry public opinion platforms, and enterprise self-submitted materials. Update frequencies vary: industrial and commercial entity qualification data syncs quarterly, public opinion data updates hourly, and structured risk control fields refresh daily. Document structures include structured tables, unstructured public opinion snippets, and scanned document attachments. Core fields include unified social credit code, risk level, related party transaction amount (unit: ten thousand yuan), and compliance penalty records. Some custom fields require adaptation for specific due diligence scenarios.
Constraints on Tool Calling and Plugins
Multi-source heterogeneous data sources require the tool calling workflow to support parallel scheduling of multiple APIs and format unification. Pre-configured authentication rules and return field mappings for different data sources are required. Mixed document structures require supporting OCR recognition plugins to extract text from scanned document attachments. Differentiated update frequencies require tiered caching strategies for different data sources. High-frequency public opinion data cache duration must match its update frequency. Low-frequency qualification data can use a longer cache cycle. For scenarios with many custom fields, allow dynamic loading of field mapping templates during tool calling to avoid hard-coded configuration limiting adaptability.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
plugin_request_timeout | 300–600 seconds | Covers the maximum time required for multi-aggregate API calls, prevents overall task failure caused by single API delay |
parallel_plugin_call | Enabled, maximum concurrent count 3 | Adapts to parallel calling needs for multi-source data, while avoiding exceeding third-party API call quotas |
enable_ocr_parse | Enabled, only process scanned document attachments | Reduces unnecessary OCR call costs, only applies to uploaded scanned due diligence attachments |
custom_field_mapping | Load scenario-specific templates | Adapts to custom field requirements for general due diligence, eliminates need for manual adjustment of mapping rules each time |
data_cache_ttl | Tiered by data source: public opinion data 3600 seconds, industrial and commercial data 604800 seconds | Matches update frequencies of different data sources, balances data timeliness and call costs |
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 values.
Three Common Mistakes
- Phenomenon: Returns
400 Bad Requestwhen calling third-party APIs, with a prompt indicating incompatible request formats. Cause: The plugin's request body is not configured to match the target API's JSON schema, for example, failing to correctly match the parameter nesting rules of the target interface. - Phenomenon: Cannot automatically trigger code execution and return results after configuring a code generation plugin. Cause: The
auto_execute_pluginconfiguration item is not enabled, or the code execution trigger node is not bound in the workflow. - Phenomenon: Node prompt words do not take effect in the expected order, and some custom rules are not executed. Cause:
prompt_execution_orderis not correctly set to run in node workflow order, or prompt word nodes are repeatedly bound in the workflow.
How to Confirm Correct Configuration
- Initiate a single standard due diligence task, review the workflow's plugin call logs, confirm that all configured data source APIs are triggered normally, with no abnormal error records.
- Upload a due diligence attachment containing scanned documents, confirm that the OCR plugin successfully extracts attachment text and core fields are correctly mapped.
- Compare the return results of two calls to the same high-frequency data source, confirm that data update timeliness meets the preset caching policy requirements.
- Trigger a code generation-related plugin call, confirm that the code returned by the plugin can be executed normally and returns corresponding results.
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.