What the data for this category looks like
Data sources for chemical pharmaceutical intelligent due diligence include publicly available approval data from the National Medical Products Administration (NMPA), China Clinical Trial Registry (ChiCTR), global patent databases, annual reports of listed pharmaceutical companies, and industry compliance announcements. Data update frequencies vary significantly across content types. Drug approval information updates in real time alongside approval progress. Clinical trial data updates in stages aligned with trial milestones. Patent information syncs in real time based on publication dates. Annual reports update on a fixed fiscal year schedule. Documents primarily combine structured tables and unstructured PDFs. Structured fields include generic drug names, brand names, targets, clinical trial phases, indications, approval document numbers, and patent expiration dates. Units cover professional fields such as trial sample size counts, molecular weight in g/mol, and National Medical Products Administration approval number formats.
What constraints these characteristics impose on tool calling and plugins
Dispersed multi-source data requires tool calling to integrate multiple vertical plugins simultaneously. This prevents information gaps from relying on a single data source. Varying update rhythms require plugins to support incremental syncs triggered by different time dimensions. This stops data from becoming outdated. Mixed structured and unstructured document formats require plugins to support both structured field extraction and PDF text parsing. Specialized and non-standardized fields require plugins to support custom field mapping. This adapts to the exclusive terminology and unit systems of the chemical pharmaceutical field. Additionally, some medical data interfaces have call frequency limits. Parallel call parameters must be configured appropriately to avoid triggering rate limiting.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
max_parallel_tool_calls | 2–3 calls per round | Chemical pharmaceutical due diligence requires simultaneous calls to three plugins: patent retrieval, clinical trial data, and compliance approval. Excessive parallelism will trigger interface rate limiting |
tool_call_timeout | 120 seconds | Patent retrieval interfaces return large datasets. Clinical trial data parsing requires extended processing time |
structured_data_mapping_mode | custom_field_mapping | Chemical pharmaceutical data fields are specialized and non-standardized. Manual mapping is needed for exclusive fields such as targets and approval document numbers |
rag_chunk_size | 800–1200 characters | Clinical trial reports have long paragraphs. Too-small chunks will disrupt trial logic. Too-large chunks will exceed context window limits |
error_retry_count | 2 retries | Some third-party medical data source interfaces have temporary fluctuations. Too many retries will increase call costs |
plugin_auth_type | api_key_auth | Most specialized medical data interfaces use API key authentication |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Each scenario requires individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: Tool calls return a
429 Too Many Requestserror with a 429 status code. Cause: Parallel call counts are not limited. Simultaneous calls to multiple pharmaceutical data source plugins trigger interface rate limiting. - Phenomenon: Exclusive fields such as targets and approval document numbers are empty in tool call results. Cause:
structured_data_mapping_modeis not configured for custom mapping mode. This prevents correct extraction of specialized fields. - Phenomenon: Overseas search plugins fail to return valid data for the domestic pharmaceutical industry. Cause: The search plugin relies on overseas nodes. It does not adapt to domestic data source access restrictions. This aligns with the common community issue of domestic users being unable to use overseas search tools.
How to confirm proper configuration
- Review tool call logs to confirm that each call’s request body can be fully viewed.
- Trigger a complete due diligence tool call workflow. Check if multiple target plugins can be called simultaneously according to the configured parallel count.
- Import a PDF of a chemical pharmaceutical company’s clinical trial report. Check if the plugin can correctly extract preset exclusive fields.
- Simulate a test scenario of temporary fluctuations in third-party interfaces. Check if automatic retries are triggered according to the configured retry count.
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.