What Metric Calibration Data Consists Of
Metric calibration data is sourced from internal core business systems, risk management systems, and financial report statistics systems at financial institutions. Three update schedules are supported: fixed daily synchronization, monthly batch updates, and on-demand triggers. Each individual metric calibration document includes fields such as unique code, Chinese name, official definition, calculation logic, affiliated business dimension, applicable scenarios, statistical unit, and update notes. Some complex metrics also include associated underlying data table names and validation rules. All field formats are standardized, with no redundant content.
Constraints for Workflow Orchestration
The unique code identifier for metric calibrations requires workflows to prioritize code matching to avoid semantic ambiguity. Fields include calculation logic and validation rules, so tool call nodes must pass all required fields completely. This prevents calculation errors caused by missing parameters. Update frequencies vary widely across different metrics. Workflows must support custom trigger timing to avoid using outdated calibration data. Most metric calibration data sources are internal systems, so workflows must include dedicated permission validation steps to ensure compliant data access.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Indicator Caliber Recall Threshold | 0.75-0.85 | Metric calibration text has a standardized structure, and semantic matching precision requirements are higher than general retrieval |
Context Window Length | 800-1200 characters | Metric calibration documents typically include definitions and calculation logic; excessive length introduces redundant information |
Tool Call Timeout | 300 seconds | Network delays exist when pulling metric data from internal systems; sufficient response time must be reserved |
Result Deduplication Toggle | Enabled | The same metric may be synced and entered by multiple business systems; this avoids duplicate results interfering with outcomes |
Field mapping rule | Map in the order 指标编码→指标名称→计算逻辑 | Metric retrieval prioritizes matching unique identifiers to improve result accuracy |
Update Frequency Trigger Condition | Triggered daily at 2:00 AM | Most financial metric calibrations are updated daily; this ensures workflows use the latest data |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: The tool call node returns the error
Invalid JSON: Bad control chara. Cause: The calculation logic of metric calibrations includes unescaped control characters such as line breaks and tabs. Passing these directly to tool parameters causes format errors. - Symptom: No connection circles appear when adding tool node connection lines in the workflow, making connection impossible. Cause: Access permissions for the metric calibration data source are not configured correctly. The node cannot read metadata for the corresponding fields.
- Symptom: Metric calibration data returned after workflow execution lacks the calculation logic field. Cause: The field mapping rule configuration order is incorrect. Required core fields are not mapped first.
How to Verify Proper Configuration
- Manually trigger a test workflow, and check if the returned results include all required fields such as unique metric code, name, and calculation logic.
- Review tool call logs to confirm that the passed parameter JSON has no unescaped control characters and meets format requirements.
- Compare manually queried original metric data with workflow returned results to confirm that the field mapping relationship is correct.
- Simulate a metric calibration update and trigger the workflow, then verify that the returned results are synchronized to the latest version.
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.