What Data This Category Contains
This category’s data is generated across the full food safety supervision sampling workflow. Daily documents include sampling plans, sampling slips, inspection reports, non-compliant food verification and disposal reports, and risk control announcements. Data sources include the food safety sampling and monitoring system, the State Administration for Market Regulation’s sampling results query system, laboratory information management systems (LIMS) of inspection institutions, and ledgers of food producers and operators. Data update frequency is monthly. Core fields include sample number, sampling batch, non-compliant items, disposal progress, and others. All fields use standard units from official business systems, with no custom statistical units added.
Constraints Imposed on HTTP Interfaces and External Systems
The monthly update frequency requires the interface’s knowledge base synchronization mechanism to adapt to low-frequency batch synchronization, avoiding high-frequency calls that consume resources. Differences in data formats across multiple sources require the interface to support standardized parameter mapping. This unifies documents from systems such as sampling and monitoring systems and LIMS into indexable formats. The policy and regulatory basis Q&A scenario requires results returned by the interface to be associated with corresponding document sources. This helps regulatory staff verify original basis materials. The fixed nature of core fields requires interface parameters to strictly match standard fields related to sampling. This prevents retrieval failures caused by field mismatches.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer {custom API key} | Complies with HTTP interface authentication standards, ensures security of external system calls, and adapts to permission control requirements for regulatory business |
variables | Populate according to actual business scenarios, for example {"sample_type": "prepackaged food", "inspection_batch": "202403"} | Pass business context parameters to narrow the retrieval scope of policy basis Q&A, accurately matching policies and documents related to sampling |
responseData | {"include_source": true, "source_fields": ["sample_id", "document_title"]} | Return associated knowledge base document information to help callers trace original policy and sampling basis |
| Single search limit | Top 5 entries | Matches the usage habit of regulatory staff reviewing a small number of core basis documents, avoiding excessive information interfering with judgment |
| Maximum context length | 800–1200 characters | Adapts to the conventional length of policy texts and sampling documents in this category, preventing context overflow from affecting Q&A accuracy |
| Interface timeout | 600 seconds | Wait for batch document retrieval and splicing to complete, adapting to the rhythm of monthly updated data processing |
Three Common Misconfigurations
- Failing to return associated knowledge base ID or document information after calling the chat interface. This occurs because the source return configuration is not enabled in the
responseDataparameter, so the interface only returns Q&A results without carrying the source of the basis. - Encountering the
Failed to connect to jyfkk:1433 - 38BBDDC3AF7F0000error when orchestrating database connections. This is caused by incorrect configuration of the external database access address and port, or failure to open corresponding network permissions, making it impossible to connect to the database of the inspection institution’s LIMS system. - Mismatch between the number of interface retrieval results and expected values. This is caused by not setting a reasonable single search limit parameter, or not passing correct business variables to narrow the retrieval scope, leading to the retrieval scope covering irrelevant policy documents.
How to Confirm Proper Configuration
- Initiate a test call that includes the sampling batch parameter, check whether the returned Q&A results are associated with document information such as corresponding sampling plans or inspection reports.
- Set the
Authorizationparameter to a valid API key, initiate a call, and confirm that the interface returns a status code of 200 with no authentication failure prompts. - Adjust the single search limit setting value, initiate two test calls, and confirm that the number of returned basis documents matches the set value.
- Verify the synchronization configuration of external data sources, confirm that monthly updated documents have been correctly synchronized to the FastGPT knowledge base and can be retrieved and matched.
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.