What the Data for This Category Looks Like
Penalty case data mainly comes from internal compliance audit records, public regulatory agency notification documents, and compliance self-inspection reports submitted by branches. There is no fixed update cycle: regulatory notifications are updated alongside law enforcement progress, and internal cases are added as audits are completed or policies are revised.
Document structure includes standardized fields: case unique identifier, penalty subject name, specific description of violation behavior, corresponding regulatory or internal policy clauses, penalty measure details, rectification completion requirements, and associated responsible person information. The word count of single documents varies widely, with some detailed cases containing substantial content.
Constraints Imposed on Workflow Orchestration by These Characteristics
Multiple data sources require the workflow to include cross-system pull nodes, which connect internal compliance repositories and external regulatory data sources separately to avoid data omission. No fixed update rhythm requires the workflow to support both scheduled synchronization and manual trigger modes, to adapt to data update needs across different scenarios. Field standardization requires adding a field validation node to ensure extracted fields such as penalty subjects and violation clauses meet format requirements, preventing errors in subsequent analysis. Long text characteristics require configuring text segmentation and context truncation parameters in the workflow, to prevent the model from failing to process complete case content due to context overflow.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Multi-source data synchronization interval | Every 72 hours | Matches the non-fixed update rhythm of regulatory notifications and internal audits, balancing data timeliness and resource usage |
Text segmentation length | 800–1200 characters | The word count of single penalty case documents varies widely; this segmentation range adapts to most models' context window limits |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Long document parsing requires sufficient timeout time to avoid parsing task interruptions caused by excessive content |
Similarity threshold | 0.75–0.85 | Compliance scenarios require precise matching of policy clauses; this range effectively filters irrelevant matching results |
Variable update trigger condition | After case review node completes | Update global variables only after core links in the compliance process are completed, ensuring accuracy of data flow |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Workflow template import shows success, but the node list is empty. Reason: Custom data sources or nodes referenced in the template have not completed authorization synchronization in the current workspace, causing loading failure.
- Phenomenon: When using DeepSeek-R1 for penalty case compliance analysis, the output results do not meet expectations. Reason: Text segmentation and context truncation parameters are not configured, so the model cannot fully obtain the core violation and penalty information of the case.
- Phenomenon: The global Number type counter cannot automatically increment after AI responses. Reason: The trigger timing of the variable update plugin is not bound to the execution completion event of the AI output node, causing the variable to not be triggered for update correctly.
How to Confirm the Configuration Is Correct
- Manually trigger the multi-source data synchronization node, check whether the latest penalty case data entries can be pulled.
- Upload a test penalty case document, verify that parsed field extraction and text segmentation conform to preset configurations.
- Run the complete workflow, confirm that the variable update plugin correctly modifies the global counter value after the process ends.
- Check the model configuration of the tool call node, confirm that parameter options adapted for long text processing have been selected.
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.