Data Structure for This Category
Data for this category typically comes from elderly care service information platforms, civil affairs statistics systems, fire safety inspection records, and institution operation ledgers. Data is updated on a monthly basis. Commonly processed documents include elderly care institution filing materials, operation subsidy application documents, service quality inspection forms, safety hazard rectification ledgers, and elderly admission files. Documents use institution identifiers as the core associated field, covering filing information, operation data, inspection results, and subsidy application elements. There is no fixed unified format, and fields are adjusted according to specific business links.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
The data characteristics of this category impose multiple constraints on the multi-turn dialogue and prompt engineering link. Dispersed, cross-system data sources require multi-turn dialogue to pass the current supervisory institution’s exclusive identifier via variables to ensure accurate context association. The monthly update rhythm requires that the knowledge base bound to the dialogue be synchronized on a monthly cycle, to avoid using expired filing information or subsidy data. Documents have no fixed unified format, so prompt engineering must guide users to clarify the current document type, to adapt to field differences across businesses such as filing, inspection, and subsidy applications. At the same time, supervision involves core businesses related to safety and subsidies, so multi-turn dialogue must retain historical rectification and review context to prevent repeated verification of similar information.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Context | Previous 8 turns of dialogue + knowledge base data from the last 2 months | Adapts to the monthly updated data cycle, avoids loading expired information, and retains sufficient supervision business context |
variables | Bind institution filing number and hazard level fields | Used to pass the current supervision’s exclusive identifier during multi-turn dialogue, ensuring accurate data association |
messages | Automatically truncate over-length historical content by conversation turn | Prevents excessive context from causing model processing timeouts, and adapts to multi-step inquiry scenarios for supervision businesses |
| Question Optimization | Calibrated based on actual testing | Optimizes question wording for elderly care supervision business terms, improving retrieval accuracy |
| Single Recall Limit | Top 6 matching documents | Covers document needs for common businesses such as filing, inspection, and subsidy applications, avoiding interference from redundant information |
chatId | Bind the current session’s supervisory institution ID | Ensures all interactions within the same session are associated with the same supervision subject, avoiding context confusion |
Common Misconfigurations
- The HTTP request
outputcontent is not displayed in dialogue outputs. This occurs because theoutputfield is not mapped to the dialogue display node in the dialogue orchestration, causing orchestration results to not sync to the dialogue interface. - Multi-turn dialogue context is lost, making it impossible to associate historical data for the current supervisory institution. This occurs because the institution identifier parameter is not passed via
variables, causing the session context to be disconnected from the supervision subject. - Knowledge base recall includes expired monthly data. This occurs because the knowledge base update trigger rule is not configured on a monthly cycle, leading to the use of filing or subsidy data from before the previous month.
How to Verify Correct Configuration
- Initiate a simulated supervision inquiry, enter the filing number of a specific elderly care institution, and check whether the dialogue automatically associates the institution’s historical inspection records.
- Trigger an HTTP orchestration request, confirm that the orchestration-returned
outputcontent is displayed in the dialogue interface’s output area. - Manually trigger a knowledge base update, wait for the configured update cycle, and verify that recalled documents include the latest monthly operation data.
- Test multiple consecutive questions, confirm that the dialogue context retains the hazard level and rectification requirements mentioned in previous turns.
The values provided here are common starting points, and should be evaluated against samples from the respective use cases.
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.