What This Category’s Data Looks Like
Financial lease yield-related data is primarily sourced from the core business systems of leasing companies, lease asset registration information published by industry associations, and third-party leasing valuation platforms. Data updates follow a daily T+1 schedule: the previous day’s yield calculation data is generated after the day’s business concludes. Documents use structured table or JSON formats, with each row corresponding to one lease project. Fields include Project Unique ID, Collateral Category, Total Initial Principal, Remaining Lease Term, Current Discount Rate, Same-Day Calculated Yield, and Asset Status. Principal amounts use Yuan as the unit, lease terms use months, and yields are presented in decimal form without percentage notation.
Constraints for Tool Calling and Plugins
Multiple data sources require plugins to connect to two or more interfaces with distinct permission sets. Independent identity verification rules must be configured for each connection. The daily update schedule requires tool calls to be bound to fixed scheduled tasks to prevent repeated or missed data pulls. The high volume of structured fields and fixed unit formats require plugins to implement field mapping and unit conversion logic. This ensures consistent data formatting when data is passed to large models or storage systems. The large number of lease projects requires tool calls to support batch data pulls and paged processing. This avoids timeouts caused by overly large single-request data returns. The sensitivity of financial data requires tool calls to enable strict transmission encryption and identity verification to prevent data leaks.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_batch_size | 20-50 | The volume of single-batch lease project data for financial leases is large; 20-50 balances call time and return completeness |
tool_request_timeout | 300 seconds | When connecting to multi-source lease data interfaces, third-party interface responses may have delays; 300 seconds covers most normal requests |
field_mapping_rule | Precise field name matching + unit conversion | Financial lease data fields follow fixed naming rules; third-party interface returned fields need to be mapped to platform standard fields, and unit formats need to be converted |
schedule_cron | 0 18 * * * | Financial lease yield daily reports need to be generated after the day’s business ends; triggering tool calls at 18:00 daily obtains the latest data |
api_signature_type | HMAC-SHA256 | Financial data interfaces require strict identity verification; HMAC-SHA256 ensures data transmission security |
max_return_records | 500 | The number of single-batch lease projects is usually in the hundreds; 500 covers full data pulling for most scenarios |
The parameter values provided on this page are common starting points for configuration setup. Actual values are influenced by material form, data volume and business rules. Specific issues require targeted analysis. It is recommended to test against your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Third-party lease data interface calls fail, and the platform only returns a generic error prompt without specific error codes or details such as
401 Unauthorized. Cause: The detailed logging switch for tool calls is not enabled, so detailed error information returned by the interface cannot be captured. - Phenomenon: Yield analysis results generated by the large model deviate significantly from actual lease project data. Cause: The correct
field_mapping_ruleis not configured, leading to mismatched field formats passed to the large model, which impairs the large model’s ability to understand the data. - Phenomenon: Unauthenticated users cannot pull tenant-specific lease data when using the tool. Cause: The
user_id_transparent_paramparameter is not configured, so the platform cannot transparently pass the user identity identifier, making it unable to distinguish data across different tenants.
How to Verify Successful Configuration
- Manually trigger a tool call and verify that returned data fields match the preset
field_mapping_rule. - Review detailed tool call logs to confirm that interface request configurations such as
api_signature_typeandtool_request_timeoutalign with your set requirements. - Simulate identity scenarios for different tenants to verify that the tool can pull exclusive lease data for the corresponding tenant.
- Upload a test structured lease data file to confirm that field unit conversion logic operates correctly.
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.