What Data for This Category Looks Like
Data sources for pharmaceutical distribution primarily come from internal enterprise inventory and sales systems, public circulation filing information published by drug regulatory authorities, and scanned qualification documents from partners. Data types include structured inventory and sales ledgers, semi-structured purchase and sales contracts and quality inspection records, and unstructured qualification files. Inventory and sales data syncs daily, while qualification files update annually per inspection cycles. Document fields include generic drug name, production batch number, expiration date, unified social credit codes of both transaction parties, delivery address, and transaction amount. Units follow pharmaceutical distribution standards, such as Chinese Yuan, box, case, and similar units.
Constraints Imposed on Tool Calling and Plugins
Pharmaceutical distribution data has both structured fields and semi-structured compliance documents. Tool calling must accurately match exclusive business fields such as drug batch numbers and expiration dates. It cannot rely on fuzzy matching logic from generic knowledge bases. Qualification files require regular compliance validation. Tool calling must connect to compliance verification plugins to sync and update qualification statuses. Data update frequencies vary widely. Inventory and sales data changes daily, so real-time syncing data source interfaces must be configured. Document length ranges widely: from outbound orders with tens of characters, to purchase and sales contracts with thousands of words. Tool calling context adaptation must cover different length ranges. Field units must strictly follow pharmaceutical distribution standards. Plugins must automatically verify unit consistency for drug quantities and amounts to avoid generating incorrect documents.
How to Set Configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | auto | Adapts to mixed scenarios in pharmaceutical distribution document drafting, which require both structured field extraction and natural language generation |
functionCall | Bound to drug information extraction plugin | Used to accurately extract exclusive fields such as drug batch numbers and expiration dates from inventory and sales systems, improving the accuracy of document drafting |
| Plugin data source sync cycle | 15 minutes | Adapts to the daily update rhythm of inventory and sales data, ensuring data timeliness during tool calling |
| Field validation switch | Enabled | Automatically verifies format compliance for exclusive fields such as drug batch numbers and expiration dates, avoiding generation of incorrect documents |
| Context length limit | 8000–12000 token | Covers document processing needs for different lengths, including purchase and sales contracts and quality inspection records |
| Timeout threshold | 300 seconds | Adapts to network latency when connecting pharmaceutical distribution data to internal enterprise systems, preventing tool calling interruptions |
Three Common Mistakes
- Phenomenon: When calling tools to draft pharmaceutical distribution documents, knowledge base search delay exceeds 600 seconds, resulting in long return response times. Cause: No pharmaceutical distribution-specific data source filtering rules are configured. The knowledge base contains a large number of non-distribution documents, leading to an overly broad retrieval scope.
- Phenomenon: Drug-related fields returned by tool calls are empty, and cannot be associated with internal enterprise inventory and sales data. Cause: The plugin data source is not bound to the inventory and sales API interface of pharmaceutical distribution enterprises. Only a generic knowledge base is used as the data source, which cannot match exclusive business fields.
- Phenomenon: When using deepseek-r1 for tool calling workflows, the error rate of fields in generated pharmaceutical distribution documents is high. Cause:
functionCallmode is not enabled. The model is not restricted to calling the specified drug field extraction plugin, leading to generated content deviating from business standards.
How to Verify Successful Configuration
- Initiate a test for drafting a drug purchase and sales contract, and verify whether tool calling automatically associates corresponding drug information from internal enterprise inventory and sales systems.
- Upload an expired qualification file to trigger the compliance verification plugin, and confirm whether a corresponding compliance abnormality prompt is returned.
- View the plugin data source sync logs, and confirm that pharmaceutical distribution inventory and sales data completes syncing according to the set cycle.
- Adjust the
toolChoiceparameter to switch between different modes, and verify whether the response status of tool calling meets business expectations.
The values given are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.