What Data for This Cosmetic Category Looks Like
Data for cosmetic intelligent due diligence comes primarily from brand filing documents, third-party quality inspection reports, e-commerce platform product detail pages, and regulatory public disclosure information. Filing documents are updated quarterly alongside formula adjustments. Quality inspection reports are generated from batch sampling inspections. E-commerce detail pages synchronize product information in real time. Document structures include fields such as ingredient lists, production batch numbers, safety assessment reports, and test item results. Ingredient content is labeled using percentages. Sunscreen products must include SPF and PA values. Net content units are grams or milliliters.
What Constraints These Characteristics Impose on Model Integration and Configuration
Multi-source heterogeneous data types create input format constraints. Model adaptation parameters that support mixed text and image inputs must be configured. Ingredient list field formats are inconsistent. Entity extraction matching rules must be adjusted to adapt to different brand layouts. Regulatory mandatory fields such as SPF and PA for sunscreen products require higher recall priority and matching threshold settings. Long documents such as safety assessment reports exceed conventional text window lengths. Segment interception parameter thresholds must be adjusted.
How to Configure These Parameters
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapts to the typical storage size of cosmetic quality inspection report images and long safety assessment documents |
maxContext | 8000–12000 characters | Covers the full text length of safety assessment reports and ingredient lists |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Reserves sufficient time for multimodal OCR parsing and long text processing |
OCR_ENABLE | Enabled | Supports parsing printed text from quality inspection reports and product packaging photos |
similarity_threshold | 0.85–0.9 | Ensures matching accuracy for regulatory mandatory fields such as SPF and PA |
segment_length | 1000 characters | Balances semantic integrity of long document segments and model window utilization |
The parameter values provided on this page are common recommended 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 on your own samples before finalizing settings.
Three Common Configuration Errors
- Phenomenon: A 400 status code is returned when integrating a model via a proxy channel, with a prompt indicating abnormal parameter specification. Cause: Multimodal input requirements for cosmetic due diligence are not adapted, and incompatible parameter formats are incorrectly passed, causing requests to fail normal model parsing.
- Phenomenon: A prompt indicating empty model stream response is generated when producing due diligence reports, with no valid output content. Cause: The multimodal parsing switch is not enabled, or the
PARSE_FILE_TIMEOUT_SECONDSconfiguration value is too low, causing the process to terminate before image-based quality inspection reports finish parsing. - Phenomenon: The platform's displayed model list does not change as expected after modifying the configuration file. Cause: The FastGPT container is not restarted to load the new configuration, or the modified configuration file is not saved to the effective path
/app/data/config.
How to Confirm Configuration Is Complete
- Upload a cosmetic quality inspection report image, check if the parsing result extracts test items and result fields, to confirm multimodal parsing configuration is active.
- After configuring model integration parameters, initiate a test request, check if the returned response identifier includes stream transmission characteristics, to confirm model stream output is normal.
- Modify
UPLOAD_FILE_MAX_SIZEto a custom threshold, upload a test file exceeding the threshold, verify if an upload limit prompt is triggered, to confirm configuration is active. - Input cosmetic filing text containing SPF and PA fields, check if entity extraction results match the regulatory required field format, to confirm matching threshold configuration is reasonable.
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.