What the data for this category looks like
The data for rural commercial bank intelligent due diligence reports primarily comes from internal credit archives, local agricultural business entity ledgers, credit reporting submission data, and quarterly regulatory compliance reports. Data update rhythms vary by type: credit archives are updated per single credit extension cycle, operating ledgers are updated monthly, credit reporting data is synchronized on a T+1 basis, and regulatory reports are submitted quarterly. The document structure includes five core modules: customer basic information, credit limit, repayment overdue records, agricultural project details, and compliance scores. Field units include standard financial measurement units such as ten thousand yuan, days, and yuan. Some agricultural data includes a special field for operating area in mu.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
The data sources for rural commercial bank due diligence reports are scattered and have varying update rhythms. This requires multi-turn dialogue to first guide users to clarify the query data source scope, to prevent the model from accessing unauthorized or outdated data. The document structure includes nested fields and special measurement units. Prompts must clearly define the field extraction hierarchy and unit rules, to avoid numerical misunderstandings. The particularity of agricultural business data requires the dialogue context to retain customer business type information, to ensure subsequent queries can accurately match corresponding ledger data. Additionally, regulatory compliance requirements require tracing data sources. Multi-turn dialogue must link previous data source confirmation steps, to provide compliance basis for subsequent results.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | A single due diligence report for rural commercial banks often exceeds 5000 characters. Multi-turn context must be retained to link previous query data sources and field requirements |
dialogue_history_max_rounds | Last 3 rounds | The due diligence process requires confirming customer identity, credit status, and compliance indicators in sequence. Excessive history will introduce irrelevant interference |
PROMPT_TEMPLATE | Add the prefix "Only use internal credit archives of rural commercial banks, local agricultural business ledgers, and current quarter regulatory submission data" | Restrict data source scope to prevent the model from accessing unauthorized or outdated data |
INPUT_CONTENT_LENGTH_LIMIT | 1500 characters | Due diligence queries often include multiple field combinations. Excessively long input will exceed the model context window and cause truncation |
CITE_ENABLE | Enabled | Due diligence reports require tracing data sources to meet regulatory compliance information disclosure requirements |
ENABLE_DELETE_DIALOGUE | Enabled as needed | Supports users to clear invalid dialogue records, which meets daily operation and maintenance needs |
The parameter values provided on this page are common recommended 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 Mistakes
- Symptom: The interface returns an "Input content exceeds model context limit" error, or the interface returns a 413 status code. Cause: The
INPUT_CONTENT_LENGTH_LIMITparameter is not configured, or its value exceeds the actual supported input length range of the model. - Symptom: Dialogue return results do not include the
cite_idsfield, making data source tracing impossible. Cause: TheCITE_ENABLEconfiguration is not enabled, or the prompt does not explicitly require returning data reference identifiers. - Symptom: The next round of dialogue does not link to the previous question decomposition results, and only independently answers the current query. Cause: The
dialogue_history_max_roundsconfiguration is not set to retain necessary historical context, or the prompt does not explicitly require proceeding based on previous dialogue.
How to Verify the Configuration is Correct
- Submit test input that exceeds the preset threshold, and verify whether a reasonable length intercept prompt is triggered, to avoid direct truncation or no response.
- Initiate a due diligence query that includes multiple field combinations, and verify whether the return result links to the previous round of data source confirmation request.
- After enabling
CITE_ENABLE, verify whether the return result includes thecite_idsfield, and whether the field values correspond to uploaded data source files. - Enter the dialogue management interface, and verify whether there is an operation entry for deleting single dialogue records, which meets the configuration requirements.
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.