What this category of data includes
The data for this category comes from health supervision information systems, medical institution electronic registration systems, complaint and reporting platforms, and law enforcement inspection records. It is updated monthly. Daily documents include supervision inspection forms, medical institution practice licenses, rectification notices, supervision opinions, and penalty case files. Fields cover institution qualification identifiers, on-site inspection items, rectification tracking nodes, penalty-related basis, and more. There is no unified fixed unit, as it varies based on document type.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering link
Decentralized data sources require multi-turn dialogue to call fields from different systems in stages. Links such as qualification verification, inspection item entry, and rectification tracking must be triggered sequentially in the dialogue flow. The variety of document types requires prompts to define formats and required fields separately for each document, to avoid generated content deviating from specifications. Monthly updated data sources require prompts to explicitly reference the latest updated institution information, to prevent the use of expired data. Time-consuming links such as qualification verification and rectification tracking require multi-turn dialogue to split tasks and gradually collect on-site inspection details and qualification certification materials.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Context window size | 8000–12000 characters | Covers the full content of law enforcement inspection records and qualification documents during multi-turn dialogue |
| Multi-turn dialogue round limit | First 6–10 rounds | Matches the typical process steps of qualification verification, inspection item entry, and rectification opinion generation |
variables configuration | Bind institution ID and inspection date fields | Automatically import fixed business parameters from business systems to reduce manual input |
messages format | Follow the standard structure of system prompt + user input | Aligns with the interaction logic of multi-turn dialogue to ensure prompt effectiveness |
chatId binding | Associate with current law enforcement task ID | Distinguishes dialogue contexts for different supervision and inspection tasks to avoid content confusion |
| Single dialogue response timeout | 60–90 seconds | Adapts to the response duration of cross-system data retrieval to prevent task interruptions |
Reference only; verify against the target FastGPT release and deployment documentation.
Three Common Configuration Mistakes
- Symptom: Temporary qualification verification results are displayed in the front end during multi-turn dialogue. Cause: Intermediate step contexts in
messagesare not filtered, causing information from non-final links to be retained and displayed. - Symptom: Generated supervision opinion documents lack the institution practice scope field. Cause: Required fields for the corresponding document are not bound in
variables, and the prompt does not cover the fixed content requirements for this type of document. - Symptom: Uploaded scanned copies of medical institution practice licenses cannot be recognized and associated by the system. Cause: The binding logic between
chatIdand uploaded files is not configured in the dialogue interface, causing files to not be categorized under the context of the corresponding law enforcement task.
How to Confirm Proper Configuration
- Launch a simulated law enforcement inspection dialogue to verify that intermediate step processing content is not displayed on the final dialogue interface.
- Upload a qualification scan that meets size requirements to confirm that the file is successfully associated with the context of the current law enforcement task.
- Modify the institution qualification field in
variablesto verify that the generated supervision opinion document automatically matches the modified content. - Launch a multi-turn dialogue up to the round limit to verify that the system triggers the restriction and terminates subsequent interactions.
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.