What the data for this category looks like
Biologics intelligent due diligence data primarily comes from National Medical Products Administration public review archives, annual enterprise disclosure reports, and public clinical trial registration platforms. Data update frequency fluctuates with review workflows: new accepted submissions update weekly, batch issuance records sync daily, and annual enterprise reports update quarterly. Documents are mostly structured tables and long-form review reports. Core fields include generic drug name, active ingredient, specification (e.g., mg/vial, IU/bottle), review status, and batch issuance lot number. Field units mostly involve biological activity units and formulation specification parameters.
What constraints these characteristics impose on tool calling and plugins
Multi-source heterogeneous data sources require tool calling to integrate with multiple independent data source interfaces, and adapt to each interface’s authentication and return formats. Differences in data update frequencies require configuring distinct synchronization cycle parameters for each data source. The mixed document structure of long-form review reports and structured tables requires tools to support segmented parsing and structured field extraction. Special fields with biological activity units require plugins to include built-in unit verification logic, to prevent field standardization failures caused by unit mismatches.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Individual biologics review report text often exceeds 5000 characters, leading to long parsing times |
UPLOAD_FILE_MAX_SIZE | 200 MB | The total size of a single batch of structured batch issuance record tables typically does not exceed 180 MB |
maxContext | 800–1200 characters | The length of core biologics review conclusion paragraphs falls within this range, helping avoid context overflow |
HTTP_RETRY_TIMES | 3 times | Temporary network fluctuations may occur when calling multi-source data interfaces, retries can reduce call failure rates |
PLUGIN_FIELD_STANDARDIZE | Enabled | Automatic verification of unit compliance for active ingredients and specifications is required to avoid standardization errors |
WORKFLOW_LOOP_MAX_TIMES | 10 times | When cyclically calling batch issuance data, limiting loop times prevents resource exhaustion |
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 targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: After uploading an XLSX file of biologics batch issuance records, the AI cannot recognize active ingredient unit fields in the table. Cause: The
PLUGIN_FIELD_STANDARDIZEconfiguration is not enabled, and no standardized parsing is applied to special units in the table. - Issue: When a workflow cyclically calls batch issuance data interfaces, a
429 Too Many Requestsstatus code is returned. Cause: No reasonable interface call interval andHTTP_RETRY_TIMESparameters are set, causing request counts to exceed interface rate limits in a short period. - Issue: When calling a multimodal plugin to parse biologics package insert images, returned active ingredient information is incomplete. Cause:
maxContextis not configured to support long-text parsing, leading to truncation of image OCR results and failure to fully extract core fields.
How to Confirm Configurations Are Correctly Set
- Upload a single long-form review report, check that the parsing process completes normally, and confirm the
PARSE_FILE_TIMEOUT_SECONDSconfiguration meets business needs. - Upload a structured table file with special units, check that the plugin automatically completes field unit verification, and confirm the
PLUGIN_FIELD_STANDARDIZEconfiguration is active. - Configure a workflow to cyclically call external data source interfaces, check that loop execution logic behaves as expected, and confirm the
WORKFLOW_LOOP_MAX_TIMESsetting is reasonable. - Simulate a temporary network fluctuation scenario, call a multi-source data interface, check that the retry mechanism triggers automatically, and confirm the
HTTP_RETRY_TIMESconfiguration is active.
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.