What the data for this category looks like
Business data for double random inspection and one public disclosure regulatory checks typically comes from channels including the double random inspection and one public disclosure regulatory platform, enterprise credit information public disclosure system, law enforcement officer directory, and others. The update frequency is monthly. Daily documents include inspection plans, inspection target lists, inspection item lists, on-site inspection records, rectification notices, and inspection result public disclosures. Fields cover unified social credit codes, law enforcement officer numbers, inspection item entries, inspection times, and others. All data uses structured or semi-structured format, with no extra non-business redundant fields.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering link
Monthly updated data sources require multi-turn dialogue to sync with the latest inspection target and item libraries to avoid calling outdated data. Differences across multiple document types require prompts to clearly distinguish call scenarios for different documents. For example, prompts must associate the unified social credit code field when calling the inspection target list. Multi-stage business processes require multi-turn dialogue to gradually collect parameters including law enforcement officers, inspection targets, and inspection items, reducing manual entry errors. Requirements for structured fields limit the proportion of free text in dialogue, and users must be guided to provide standardized business identification information to lower subsequent error rates.
How to set the configurations
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
| Context variable binding | Set inspection plan ID and inspection target library version number as fixed variables | Match monthly updated regulatory data to ensure each dialogue calls the latest inspection target and item lists |
| Multi-turn dialogue trigger logic | Gradually collect inspection target, inspection item, and law enforcement officer information according to the messages sequence | Align with the multi-stage approval logic of double random inspections to gradually complete business parameters |
| Maximum context length | 800–1200 characters | Adapt to the structured length of regulatory inspection documents to avoid dialogue interruptions caused by context overflow |
| Dialogue timeout setting | 600 seconds | Match the conventional processing time required for law enforcement officer matching and task generation |
| Dialogue result association | Associate chatId with the inspection task number | Facilitate subsequent synchronization of information collected via dialogue to the inspection result public disclosure link |
Three common misconfigurations
- A 401 No auth credentials found error is returned in dialogue. The cause is that a valid API key for the double random inspection regulatory platform is not bound in
variables, resulting in interface authentication failure. - Duplicate inspection target information is collected in multi-turn dialogue. The cause is that the collection logic for duplicate fields in the
messagessequence is not restricted, resulting in no automatic deduplication after the user enters the same identifier multiple times. - Generated inspection tasks do not use the latest inspection item list. The cause is that the monthly updated inspection item library version is not bound during initialization, and outdated business data is called.
How to confirm the configuration is complete
- View the context variable panel in FastGPT v4.17.0, confirm that the inspection plan ID and inspection target library version number are correctly bound to
variables. - Initiate a simulated dialogue, gradually enter the inspection target name and inspection item, verify that the dialogue will automatically prompt to complete the information required for law enforcement officer matching.
- Trigger an interface call, check whether the returned result is associated with the inspection task number corresponding to the current
chatIdto ensure the data link is correct. - After simulating a monthly data update, initiate a new dialogue, verify that the latest version of the inspection item list is called.
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.