Tool Calling and Plugins for Urban Commercial Bank Financial

What the data for this category looks like

Urban commercial bank financial report data mainly comes from official disclosure platforms of the China Banking and Insurance Regulatory Commission, and the periodic report sections of official websites of urban commercial banks. The disclosure schedule is within 45 days after the end of each quarterly report period, 60 days after the end of each semi-annual report period, and within 4 months after the end of each annual report period. The document structure includes balance sheets, income statements, cash flow statements, and special supplementary tables for regulatory compliance. Fields include core financial subjects such as loans extended to other banks, interbank deposits, non-performing loan balances, etc. Most units are ten thousand yuan or hundred million yuan of RMB, and some regulatory indicators are marked as percentages.

What constraints these characteristics impose on tool calling and plugins

The fixed disclosure schedule requires that the scheduled trigger configuration for tool calls must match quarterly, semi-annual, and annual disclosure deadlines to avoid repeated calls or missed updates. The inclusion of special regulatory supplementary tables and differentiated subject fields requires plugins to support custom financial subject mapping rules to adapt to the disclosure format differences of different urban commercial banks. The multi-document block structure requires tool calls to support chunked recall and association matching to ensure linked analysis of regulatory indicators and core financial data. The mixed unit marking requires plugins to have built-in unit conversion logic to unify calculation calibers and avoid numerical deviations during cross-subject analysis.

How to Configure Settings

Configuration Item	Recommended Setting	Rationale for This Setting
`tool_call_max_retries`	`2 retries`	Urban commercial bank financial report data has a low update frequency. Excessive retries will occupy unnecessary call quotas. The financial report data structure is stable, and a single call failure is mostly caused by network fluctuations.
`reranker_model_path`	`bge-reranker-base`	The length of a single document block in urban commercial bank financial reports is mostly 1000-1500 characters. The base version of the model is sufficient to cover semantic matching requirements, and can reduce single-GPU video memory usage.
`rag_chunk_size`	`1000-1200 characters`	The regulatory supplementary tables in urban commercial bank financial reports are mostly short paragraph-intensive content. This segmentation interval can retain the complete association between subjects and values.
`rag_top_k`	`Top 8 entries`	Financial report data fields have high relevance. Excessive recall will introduce irrelevant content, while insufficient recall will miss core regulatory indicators.
`plugin_timeout`	`600 seconds`	Urban commercial bank financial reports often include multiple supplementary tables. Batch parsing and field mapping require a long processing cycle.
`rag_similarity_threshold`	`0.72-0.78`	The semantic similarity of financial report subject terms is relatively high. This interval can filter low-relevance non-financial report content.

The parameter values provided on this page are all conventional recommendations used to determine a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to conduct actual tests on your own samples before finalizing the settings.

Three Common Misconfigurations

The phenomenon is normal video memory usage when starting the bge-reranker-base model, but a single GPU's video memory surges to 6-7GB after calling the financial report analysis tool, and each card in a multi-GPU node is occupied. The cause is that the reranker_batch_size parameter is not configured, the default batch processing scale is too large, and model video memory shard loading is not enabled.
The phenomenon is that the financial report data fields returned after calling the plugin are empty, or the subjects and values do not match. The cause is that custom subject mapping rules are not configured, and the general bank subject library cannot recognize the regulatory supplementary table fields unique to urban commercial banks.
The phenomenon is tool call timeout, returning a 504 Gateway Timeout error. The cause is that plugin_timeout is not set to a duration adapted to multi-supplementary table parsing, and the default timeout period is insufficient to complete field mapping and unit conversion for a complete financial report.

How to Confirm Proper Configuration

View the real-time video memory usage of the reranking model, confirm that the single-card peak does not exceed the safety threshold of the node hardware, and adjust reranker_batch_size based on actual conditions.
Manually upload an annual financial report of an urban commercial bank, verify that the subject mapping results returned by the plugin match the fields in the original document, and adjust the custom mapping rules.
Trigger a scheduled tool call task, confirm that the task is completed within the duration set by plugin_timeout with no timeout errors.
Check the number of recalled entries in the tool call logs, confirm that it matches the rag_top_k configuration interval, and adjust the similarity threshold to filter irrelevant content.

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.