What the data for this category looks like
The core data for the food safety supervision and sampling scenario comes from the market supervision bureau’s food safety sampling and monitoring system, the State Administration for Market Regulation’s sampling result inquiry system, the testing institution’s LIMS system, and food producer and operator ledgers. The update frequency is once per month. Daily processed documents include sampling plans, sampling slips, inspection reports, unqualified food verification and disposal reports, and risk control announcements. Sampling slips contain fields such as sampling number, sampling location, and sampling quantity. Inspection reports include core content such as testing items, testing values, and qualified judgment results.
What constraints these characteristics impose on tool calling and plugins
Data sources involve multiple official systems and private testing institution systems. Tool calling must adapt to different interface authentication methods and data formats. The monthly update frequency means high-frequency tool cache refreshes are unnecessary. Cache duration can be configured on a monthly cycle. Document structures are complex and include professional laboratory testing fields. Tool calling must support field parsing and filtering for different document types. It must also ensure calling result accuracy to avoid regulatory disposal errors caused by data mistakes. The core evidence for this category relies on inspection reports. Tool calling must prioritize pulling associated data for this document type.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | auto | Adapt to multi-tool calling scenarios such as policy query and sampling data pulling, automatically match the tool corresponding to the user's question |
functionCall | No more than 3 functions per single call | Match the quantity limit of tools for this category, avoid context overload affecting model responses |
| Single tool call timeout | 600 seconds | Cover the reasonable time requirements for pulling inspection reports and querying historical sampling data |
| Tool return result cache duration | 30 days | Match the monthly data update frequency, reduce resource consumption from repeated calls |
| Tool calling trigger rule | Trigger when the user's question contains keywords such as sampling plan, inspection report, policy basis | Accurately locate the policy and regulatory basis Q&A scenario, avoid invalid calls |
Three common mistakes
- Cross-domain errors occur when calling the
api/v1/chat/completionsinterface. The cause is failing to configure cross-domain allowed request headers on the backend, or failing to correctly set the request mode on the frontend. - The
chat：llm—model—response-emptyerror occurs during the calling process. The cause is failing to correctly pass sampling-related data source parameters during tool calling, causing the model to fail to obtain valid context for generating responses. - The number of inspection report data items returned by the tool does not meet expectations. The cause is failing to correctly configure the result return limit for tool calling, or failing to add a filtering rule for qualified judgment results.
How to confirm the configuration is complete
Reference only; verify against the target FastGPT release and deployment documentation.
- Simulate the user's question "What is the policy basis for the sampling of a certain batch of food", check whether the tool correctly pulls the associated data of the corresponding sampling plan and inspection report.
- View backend logs, confirm that the tool call timeout setting matches the 600 second configuration, and there are no frequent timeout errors.
- Test calling the interface using the Fetch API, confirm that the cross-domain configuration takes effect and there are no interception errors.
The values provided 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.