What the data for this category looks like
Biologics marketing-related data primarily comes from official filing databases of the National Medical Products Administration, publicly available enterprise R&D declaration documents, and clinical trial result disclosure platforms. Data update rhythms adjust with regulatory approval progress. Newly approved products and change filing information are pushed irregularly. Routine instruction documents and approval certificate information are updated synchronously per regulatory requirements. Most documents are structured forms or long text formats, containing generic names, trade names, registration certificate numbers, indication scopes, preparation specifications, and manufacturer information. Field units are mostly professional preparation and storage parameters such as mg/vial, ml/bottle, °C, month, and similar units.
Constraints imposed on tool calling and plugins
Official filing sources for biologics data require tool calling to adapt to third-party interfaces with permission verification. This avoids data pull failures due to insufficient permissions. The multi-format document structure requires tools to support both structured field parsing and long text semantic extraction. This adapts to different processing logic for approval document forms and clinical instruction documents. Professional field units require plugins to retain original preparation specification and storage condition unit information. Automatic conversion is not permitted, to prevent parameter errors in marketing content. The irregular update rhythm requires tools to be configured with scheduled pull tasks. These tasks synchronize newly approved and updated information, ensuring marketing content uses the latest compliant data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
TOOL_API_TIMEOUT | 300 seconds | Biologics data documents are mostly long texts, requiring longer time for parsing and pulling, to avoid task interruption due to timeout |
PARSE_SEGMENT_LENGTH | 800–1200 characters | Biologics instruction documents are mostly professional long texts. Segment length adapts to the large model's context window while ensuring semantic completeness |
TOOL_RECALL_TOP_K | Top 3 entries | High precision is required for indications and specification information of biologics. Excessive recall will introduce irrelevant data |
PLUGIN_PERMISSION_KEY | Exclusive key generated per official platform documentation | Official filing databases mostly require permission verification. The exclusive key ensures the legality of data pulling |
FILE_PARSE_FIELD_KEEP | Generic name, registration certificate number, specification, storage conditions | Marketing content core relies on these compliant parameters, avoiding redundant fields interfering with content generation |
TOOL_SYNC_CRON | 0 2 * * 0 | Regulatory filing updates have no fixed cycle. Weekly synchronization covers most routine updates, avoiding task resource occupation during peak hours |
The parameter values provided on this page are common recommendations for establishing configuration starting points. 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 Mistakes
- Phenomenon: A 403 status code or empty results are returned when calling overseas public data plugins. Cause: Domestic network environments restrict access permissions for overseas plugins, making normal pulling of official filing data impossible.
- Phenomenon: The unit of the preparation specification field returned by tool calling is lost or replaced. Cause: The
FILE_PARSE_FIELD_KEEPconfiguration is not set to retain original unit parameters, and the plugin automatically standardized professional fields. - Phenomenon: Multimodal data in the workflow is assigned to a tool calling model that only supports plain text, resulting in parsing failure. Cause: No data type shunting rules are configured, and calling models are not differentiated for text and multimodal inputs.
How to Verify Successful Configuration
- Initiate a tool calling test, verify whether the returned biologics fields include core information such as registration certificate number and specification, and whether the units match the original documents.
- Check the tool calling logs, confirm that the timeout setting meets business requirements, and no frequent timeout interruptions occur.
- Review the scheduled synchronization task trigger configuration, confirm that the task execution time avoids business peak hours, and the trigger frequency adapts to the data update rhythm.
- Test the shunting rules for multimodal and plain text data, confirm that different types of inputs are assigned to corresponding supported models and plugins.
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.