What the data for this use case looks like
Data for joint-stock bank intelligent due diligence reports comes primarily from internal credit management systems, corporate credit files, regulatory compliance submission documents, and external credit reporting integration interfaces. Data update rhythms fall into three categories: basic credit information is synchronized daily, quarterly corporate financial statements are updated per their disclosure cycles, and compliance regulatory data is updated per monthly regulatory submission requirements. The document structure has three modules: header with basic corporate information, middle section with financial and credit details, and footer with risk ratings and related party transactions. Fields include: unified social credit code (string type), credit limit (unit: ten thousand yuan), overdue duration (unit: calendar days), and related party transaction amount (unit: ten thousand yuan). The length of individual original documents varies widely. It is recommended to conduct calculations or tests using internal samples before finalizing settings.
Constraints on multi-turn dialogue and prompt configuration
The multi-source nature, periodic update characteristics, long document structure, and specific field requirements of joint-stock bank due diligence data create multiple constraints for multi-turn dialogue and prompt configuration. Multi-source data includes internal credit files and external credit reporting data. Data source permissions must be clearly distinguished during multi-turn dialogue to prevent unauthorized data from being called. The periodic update feature requires dialogue contexts to carry data timestamps, ensuring the latest version of the corresponding cycle is called first. The long document structure requires prompts to explicitly specify extraction of fields from the correct module to avoid cross-module confusion. The unit requirements for specific fields must be enforced in the prompt to standardize output formats and prevent missing or incorrect units.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–16000 characters | Adapts to the context requirements of long documents of 30 to 150 pages per due diligence report, preventing truncation of critical information |
recallTopK | Top 6–10 entries | Covers multiple types of field information required for due diligence reports while controlling the proportion of redundant recalled data |
promptTemplateTag | 「Bank Due Diligence Exclusive」 | Distinguishes due diligence prompt templates for other industries, preventing incorrect template calls across scenarios |
apiChatTimeout | 120 seconds | Adapts to the time consumption requirements of multi-source data interface calls, preventing normal queries from being forcibly interrupted |
filterByTimestamp | Enabled | Matches the periodic update characteristics of due diligence data, ensuring dialogue calls the latest data for the corresponding cycle |
fieldFormatCheck | Enabled | Enforces standardization of field units and output formats to meet banking compliance and data standardization requirements |
The parameter values provided on this page are common 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 with internal samples before finalizing settings.
Three common misconfigurations
- Issue: Calling the
api/v1/chat/completionsinterface returns a 400 status code, with prompt-related verification failure. Cause: The prompt template does not match the exclusive field specifications for joint-stock bank due diligence, triggering interface format verification interception. - Issue: The dialogue interface cannot filter recalled data using the specified knowledge base tag. Cause: The request parameter does not carry the
knowledgeBaseTagsfield, or the tag name does not match the tag configured for the knowledge base. - Issue: The dialogue returns incorrect units for due diligence fields, such as omitting or replacing the unit for credit limit. Cause: The prompt does not enforce retention of the specified field units, resulting in non-compliant output formats.
How to verify proper configuration
- The
api/v1/chat/completionsinterface is called, preset test data for due diligence enterprises is passed, and returned result fields are checked against preset format requirements. - The
「Bank Due Diligence Exclusive」template is selected in the dialogue configuration interface, a test dialogue is initiated, and recalled data is verified to match the specified knowledge base tag. - A test request containing a long document is submitted, the context window is confirmed to not truncate information, and the returned result is verified to cover complete module content.
- The field format check switch is enabled, test content that does not comply with unit specifications is input, and corresponding verification interception is checked for triggering.
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.