What this category of data looks like
Data for this category comes from special equipment safety supervision systems, inspection and testing institution systems, user account books, and operator certificate databases. The update frequency is once per month. Daily documents include equipment use registration certificates, periodic inspection reports, maintenance records, hidden danger rectification notices, accident reports, and operator certificates. Each entry includes fixed fields such as the unique equipment registration number, inspection cycle deadlines, maintenance execution records, hidden danger rectification status, and operator qualification number. No custom extended fields are included, and the format is unified.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Data is updated once per month. Dialogues must be associated with the latest monthly synchronized data. Multi-turn dialogue must support context binding to retain the context of the currently supervised equipment. Fixed-format documents require prompts to clearly specify field extraction rules to avoid fuzzy matching. In multi-device supervision scenarios, knowledge base entries corresponding to each device must be grouped and bound by chatId to prevent cross-device data confusion. Errors in supervision data directly affect dialogue accuracy. The range of associated data for a single retrieval must be limited to avoid introducing invalid information.
Configuration settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Question Optimization | Enabled, calibrated based on actual testing | Adapts to fixed-format supervision documents and improves retrieval matching accuracy |
| Maximum Context | 8000–12000 characters | Matches device context and historical retrieval results for multi-turn dialogue |
| Single Search Limit | Top 6 entries | Limits the number of retrieval results to avoid irrelevant supervision data and reduce supervision judgment errors |
| Context Binding | Grouped by chatId | Retains the dialogue context of the currently supervised equipment to prevent cross-device confusion |
| Variable Injection | Bind device number from variables | Accurately matches knowledge base entries for the corresponding device and improves retrieval accuracy |
| Multi-turn Message Sequence | Concatenated by turn in messages | Retains dialogue history to support follow-up questions about regulatory policies and device status |
Three common misconfigurations
- Local files uploaded during dialogue cannot be read, but files uploaded to the knowledge base work normally. The cause is that the file parsing configuration for the dialogue scenario is not associated with special equipment supervision document format rules, and only default general text format parsing is used.
- Dialogue retrieval returns no results, but the knowledge base can normally retrieve content when tested independently. The cause is that the
messagescontext for multi-turn dialogue is not correctly bound to the current device’s retrieval range, causing the retrieval matching range to be unexpectedly narrowed. - A 404 Invalid URL error is triggered when the dialogue calls POST /api/chat/completions. The cause is that the deployed API gateway did not correctly forward the corresponding interface request, or the interface address configuration in
variablesis missing.
How to confirm successful configuration
- Initiate a single-device supervision policy Q&A, and check whether the dialogue context retains the current device’s number and historical retrieval results.
- Upload a single special equipment periodic inspection report to the dialogue scenario, and verify that the file content can be correctly parsed and associated for retrieval.
- Trigger multi-round follow-up questions, and check that retrieval results only include supervision documents for the current device, with no cross-device irrelevant data.
- Check the API interface call logs to confirm that the
chatId,messages, andvariablesparameters are all correctly passed.
The values provided here are common starting points and should be evaluated 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.