What This Type of Data Looks Like
Credit report data primarily comes from the central bank credit reference center, local credit reporting operators, and cooperating credit service providers. Updates follow a monthly batch submission schedule. Some real-time credit data is synchronized T+1 after business completion. The document structure is fixed into four core modules: personal basic information, credit transaction details, public utility payment records, and query history.
Fields include credit balance (unit: yuan), number of overdue periods (unit: times), institutional credit limit (unit: ten thousand yuan), full name of query institution, and some fields include a data update timestamp.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompting
The monthly update cycle of credit reports requires that multi-turn dialogue must default to prompting for the current report generation time. This prevents use of expired data for risk control judgments.
The fixed document structure simplifies prompt-based field extraction guidance. There is no need to repeatedly explain the definition of each module.
Fields with clear units require uniform unit conversion rules in prompts. For example, automatically align ten thousand yuan units in reports to yuan, or retain the original labeling.
Longer document content consumes more context window capacity. The length of parsed text uploaded per dialogue turn must be limited to avoid exceeding model processing limits.
Additionally, the presence of query history fields requires tracking already extracted query record entries in multi-turn dialogue. This avoids repeated calls or missed key information.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Parsed credit report text is typically lengthy. This setting must match the model's context window limit to avoid truncating core credit fields |
UPLOAD_FILE_MAX_SIZE | 10 MB | Single credit report in PDF/CSV format usually does not exceed 8 MB. 20% redundant space is reserved |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Credit report parsing requires extracting multi-page text and structured fields. Longer documents can take 2–4 minutes to parse |
segment length | 1000–1500 characters | When splitting long text, retain complete credit transaction detail entries. This avoids field breakage from splitting |
similarity threshold | 0.75 | Balances accuracy and recall rate when matching fields such as institution names and overdue records in credit reports |
reranked return count | top 3 entries | When extracting key risk control fields, prioritize returning the most relevant credit transaction and overdue record entries |
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. Each scenario requires individual analysis, and testing on your own samples is recommended before finalizing settings.
Three Common Misconfigurations
- Issue: Workflow dialogue interface shows failure. The model backend has response logs but no return results. Cause:
UPLOAD_FILE_MAX_SIZEwas not adjusted to match the size of credit report files, resulting in incomplete parsing of uploaded PDFs. - Issue: Historical dialogue content is not correctly passed to the current request in multi-turn dialogue. Previously extracted credit report fields cannot be reused. Cause: Context passing configuration was not enabled, or
maxContextvalue was too small, causing historical parsed text to be pushed out of the context window. - Issue: Dialogue logs are empty. It is impossible to trace the execution steps of credit report risk control audits. Cause: Workflow logging function was not enabled, or log retention duration was set too short, causing logs for parsing and field extraction to be automatically cleared.
How to Verify Proper Configuration
- Upload a standard-format credit report. Check that the parsed text fully covers core modules including personal basic information and credit transaction details. Confirm that the
UPLOAD_FILE_MAX_SIZEconfiguration matches the actual size of the uploaded file. - Initiate two or more rounds of credit report field extraction dialogue. Check that the second request includes historical context information extracted in the first round.
- Trigger a complete risk control audit workflow. Confirm that the workflow logs contain complete records of credit report parsing, field extraction, and multi-turn dialogue interaction.
- Manually adjust the
segment lengthparameter. Verify that long text parsing retains complete credit transaction detail entries without field breakage.
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.