What This Type of Data Looks Like
Credit report data comes from official credit institutions and partner credit service providers. Personal reports sync monthly. Enterprise reports sync quarterly. Most documents are standard or encrypted PDF files with a fixed structure. The structure includes five modules: basic personal/enterprise information, credit transaction details, public liability records, overdue information, and query history. Fields include credit balance (unit: yuan), number of overdue periods (unit: times), credit limit (unit: yuan), number of query institutions (unit: institutions), and more. Single document page counts vary widely. It is recommended to calculate or test based on available samples before setting values.
What Constraints These Characteristics Impose on Model Integration and Configuration
The fixed structure and clear field requirements of credit reports mean structured extraction logic must be adapted during model integration. Targeted extraction prompts must be configured to accurately extract preset fields. Single documents have large file sizes and multiple pages. Upload file size limits and parsing timeout parameters must be adjusted to avoid task interruptions caused by insufficient resources. The fixed update rhythm requires the knowledge base sync cycle to match the official update frequency. The execution interval of scheduled sync tasks must be configured. Some credit reports use encrypted PDF format. Decryption parameters must be configured in the document parsing link to ensure normal content reading. Reports contain large amounts of sensitive personal and enterprise information. Sensitive information desensitization parameters must be configured to avoid compliance risks.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single credit report PDF files typically range from 50 to 200 MB. This value reserves sufficient space to prevent upload errors. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing a single credit report requires processing multiple pages. A longer timeout period prevents mid-task interruptions. |
maxContext | 8000–12000 characters | Credit reports contain multi-module content. Sufficient context length ensures the model fully understands the document logic. |
structured_extract_schema | Configure according to the preset credit report field template | Credit reports have a fixed structure. Structured extraction must match preset fields to improve extraction accuracy. |
sensitive_content_detection | Enable and configure sensitive rules | Credit reports contain large amounts of sensitive information. Enable desensitization processing to meet compliance requirements. |
sync_schedule | Configure according to the official update cycle | Match the monthly update rhythm for personal reports and quarterly update rhythm for enterprise reports to ensure the timeliness of knowledge base content. |
The parameter values provided on this page are all common recommendations used as a starting point for determining configurations. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on internal samples before finalizing settings.
Three Common Misconfigurations
- Symptom: A
413 Request Entity Too Largeerror appears when uploading a credit report PDF. Cause: TheUPLOAD_FILE_MAX_SIZEconfiguration item was not adjusted, and the default threshold is smaller than the size of a single credit report. - Symptom: Knowledge base indexing tasks remain in a running state and do not complete for an extended period. Cause: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration was not adjusted, and the default timeout period is too short to complete parsing of multi-page credit reports. - Symptom: A
500 Internal Server Erroris returned when calling the model, with a prompt indicating the model access point is invalid. Cause: The model's API access address and key were not configured correctly, or an internally deployed model did not correctly map external network ports, preventing the platform from accessing the model service.
How to Confirm Configurations Are Correctly Set
- Upload a standard credit report PDF, check for no errors during the upload process, and confirm that the upload configuration meets the document size requirements.
- Trigger a document parsing task, wait for the configured timeout period, then check the task status to confirm that parsing completed normally without timeout interruptions.
- Initiate a structured extraction test, check if the extraction results cover the preset credit report fields, and confirm that the structured extraction configuration is effective.
- Configure a scheduled sync task, check the execution logs of the scheduled task, and confirm that the sync cycle matches the update rhythm of credit reports.
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.