What this category of data covers
This category of data covers daily law enforcement and management documents from entities including health supervision institutions and medical administration divisions of health and health commissions. Included documents are supervision inspection forms, medical institution practice licenses, rectification notices, supervision opinions, and penalty case files. Data comes from health supervision information systems, electronic medical institution registration systems, complaint and reporting platforms, and law enforcement inspection records. The update frequency is monthly. Data fields include institution qualification information, on-site inspection details, rectification requirements and results, and other content. Different documents correspond to core content for different law enforcement links, and must be used in association according to law enforcement procedures.
What constraints do these characteristics impose on multi-turn dialogue and prompt engineering
The data characteristics of this category impose clear constraints on multi-turn dialogue and prompt configuration. Monthly updated data sources require the knowledge base synchronization cycle to match the monthly update rhythm, to avoid calling expired institution qualification or law enforcement records. Multiple data sources require multi-turn dialogue to associate context from different systems, ensuring that Q&A covers multiple types of documents such as law enforcement inspection records, practice license information, and rectification documents. Diverse document types require prompt engineering to distinguish the field rules of different documents, guiding the dialogue to progress step by step according to law enforcement procedures. For the time-consuming core links of qualification verification and rectification tracking, multi-turn dialogue requires limiting reasonable interaction rounds to avoid redundant interactions.
Configuration settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum context length | 800–1200 characters | Matches the single-block content length of health supervision documents, to avoid truncating key information such as institution qualifications and rectification requirements |
| Dialogue round limit | First 6 rounds | Corresponds to the standard law enforcement process of on-site inspection, qualification verification, and rectification confirmation, to avoid meaningless redundant interactions |
| Variable binding configuration | Bind variables to pass institution ID and inspection date | Accurately associate exclusive data such as the corresponding institution's practice license and law enforcement inspection records |
| Context recall upper limit | Top 4 entries | Covers core law enforcement document types such as supervision inspection forms, penalty case files, and rectification notices, to avoid interference from redundant information |
| Session timeout period | 600 seconds | Adapts to the time required for retrieving law enforcement records across systems, to avoid session interruption due to large data volume |
| Dialogue identifier binding | Bind chatId to associate a single institution's single inspection session | Distinguishes inspection contexts of different institutions, to avoid information confusion between different law enforcement sessions |
Three common configuration errors
- The number of context entries displayed in the dialogue details does not match the set value, with only a small amount of historical content shown. Cause: The context persistence logic of the
messagesparameter is not correctly configured, resulting in some historical sessions not being retained. - The process cannot end normally when generating rectification opinions in multi-turn loops. Cause: No reasonable dialogue round limit is set, causing the loop to fail to trigger the termination logic after exceeding the preset range.
- The prompt cannot correctly identify space-separated fields in supervision documents. Cause: The prompt template does not explicitly require retaining the original document typesetting and spaces, resulting in deviations in field splitting.
How to verify correct configuration
- Launch a simulated inspection session for a single institution. Check whether the number of context entries in the dialogue details matches the set maximum context length.
- Input a test institution ID and inspection date. Verify that the prompt correctly retrieves field information such as the corresponding institution's practice license and law enforcement records.
- Trigger a timeout test. Confirm that the session completes the response within 600 seconds without timeout errors.
- Test the multi-turn dialogue loop process. Confirm that the process ends normally or regenerates content according to rules after compliance judgment.
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.