What Data for This Category Looks Like
Financial leasing daily financing report data primarily comes from core business systems of leasing companies, industry regulatory reporting portals, and public credit disclosure information. The data is updated on a daily T+1 cadence, covering new leasing projects approved that day, plus same-day repayment and change data for existing projects. Documents use individual projects as the basic unit, including fields such as leasing project ID, disbursed principal (unit: ten thousand yuan), maturity term (unit: month), lessee entity rating, repayment status, and guarantor information. Some reports include summary entries for regional leasing disbursement proportions.
Constraints Imposed on Tool Calls and Plugins by These Characteristics
The daily T+1 update cadence requires tool calls to be configured with scheduled trigger logic. Avoid using cached data older than 24 hours, to ensure returned daily financing reports are up to date. The multi-field structure with clear units requires plugins to strictly match field names and units during parameter extraction, to prevent result deviations from unit conversion errors for values like disbursed principal. The individual project as basic unit structure means tool calls must support multi-dimensional filtering by project ID, date range, and other dimensions. It also requires handling differentiated return logic for detailed entries and summary entries. The additional summary data included in some reports requires plugins to have adaptive capabilities for dynamically identifying non-standard fields.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_timeout | 300 seconds | Financial leasing daily financing reports have large batch data volumes. Sufficient time must be reserved for interface pulling and processing to avoid timeout interruptions |
max_tool_calls_per_round | 5 times | The number of projects in a single daily financing report is usually within tens. Multiple tool calls can cover all data, while preventing resource consumption from circular calls |
embedding_batch_size | 20 items/batch | Daily financing reports have many fields. Processing too much content in a single batch will overload the embedding model. 20 items balances processing efficiency and stability |
plugin_auth_type | API_KEY authentication | Financial leasing data is sensitive internal enterprise information. Fixed key authentication must be used to ensure the security of interface calls |
tool_result_cache_ttl | 86400 seconds | Daily financing reports are updated once per day. Cache duration must match the update cycle to avoid using expired data |
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 settings.
Three Common Configuration Mistakes
- Phenomenon: A 403 Forbidden error is returned when calling the daily financing report interface. Cause: Correct API key authentication is not configured, application keys are misused, and exclusive plugin authentication keys are not used.
- Phenomenon: The disbursed principal value extracted by the tool does not match the actual report. Cause: Field units are not strictly matched, and values in ten thousand yuan are directly treated as yuan, leading to deviations.
- Phenomenon: No user confirmation step is triggered during tool calls, and data pulling is executed directly. Cause: The user confirmation switch before tool calls is not enabled, or interactive confirmation logic is not enabled in plugin configuration.
How to Verify Proper Configuration
- Execute a single tool call, compare the returned daily financing report fields with the daily report exported internally by the enterprise, and verify the matching of core fields.
- Check tool call logs to confirm there are no abnormal errors in the authentication link, and verify that the configured authentication method is effective.
- Trigger the scheduled trigger logic, confirm that the tool pulls the latest data within the specified cycle, and does not use expired cache.
- Enable interactive confirmation configuration, simulate the tool call process, and confirm that a confirmation step is triggered after parameter extraction.
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.