What the data for this category looks like
Data sources for biologics research reports include public broker research reports, pharmaceutical company annual reports, data publicly released by the National Medical Products Administration Drug Evaluation Center (CDE), and industry association statistical materials. Update rhythms vary significantly by content type: broker reports update in real time alongside industry events and clinical trial progress, pharmaceutical company announcements are released at compliant disclosure deadlines, and CDE data updates according to approval process milestones. Documents typically include details of development pipelines, commercialization data, policy impact analysis, and competitor benchmarking modules. Fields include acceptance number, clinical trial phase, approved document number, price per unit, production capacity planning. Units include RMB yuan, ten thousand doses, year, and others.
What constraints these characteristics impose on tool calling and plugins
Biologics research report data sources are scattered and their update rhythms vary significantly. This requires tool calling to support aggregated configuration of multi-data-source plugins, and set incremental pull time thresholds to avoid repeatedly loading historical data. Research report documents contain nested professional fields, such as multi-dimensional data associated with clinical trial phases and approved document numbers. Tool calling must support field-level parsing and mapping to prevent loss of professional information caused by general text splitting. Some fields have strong professional attributes, so original field names must be retained for model calling to avoid deviations from general semantic parsing. Additionally, some data needs to connect to government public interfaces, so tool calling must adapt to interface authentication rules and return formats.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | The core content of a single biologics research report is mostly 5000-10000 characters long, so complete professional information must be retained |
tool_call_timeout | 600 seconds | Multi-source research report data pulling requires waiting for cross-interface aggregated responses, to avoid early interruption |
retrieval_top_k | Top 8–12 entries | Balance breadth of coverage and professional details of research reports, avoid redundant recall or omission of key information |
PARSE_FILE_MAX_SIZE | 200 MB | Adapt to the common size of clinical trial data tables and production capacity planning attachments included in biologics research reports |
enable_mcp | v4.8.0 and above | MCP functionality is officially supported starting from this version, to match long-term stable deployment requirements |
field_retention | Retain original professional field names | Professional fields of biologics research reports such as acceptance number and clinical trial phase must be accurately transmitted to avoid semantic deviations |
The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Phenomenon: When calling tools, the qwen3 model continuously generates inference content and does not trigger the tool calling process. Cause: The model's mandatory tool calling parameter is not configured, causing the model to independently select the inference path.
- Phenomenon: When deploying version v4.7.0, no available plugin list is displayed after enabling MCP tools. Cause: MCP functionality was officially added starting from version v4.8.0, and older versions do not have built-in support for this functionality.
- Phenomenon: When connecting to the MCP service via the SSE protocol, a "connection failed" error is returned. Cause: Correct interface authentication parameters are not configured, or the service port does not have corresponding access rules open.
How to confirm the configuration is complete
- Initiate a tool calling test for a single biologics research report, check whether the returned content includes the preset retained professional field names to confirm that the field configuration takes effect.
- Check the MCP function status in the plugin management interface, confirm that it is displayed as enabled and matches the currently deployed version requirements.
- Trigger a multi-source data pulling task, check whether the interface response duration complies with the preset timeout rules to confirm that the timeout configuration is reasonable.
- Enter a query containing biologics professional terminology, verify whether the model actively calls the corresponding tool to obtain research report data, to confirm that the recall configuration meets business requirements.
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.