What this category of data looks like
Data sources include special equipment safety supervision systems, inspection and testing institution systems, user account books, and operator certificate databases. Update frequency is monthly. Daily documents include use registration certificates, periodic inspection reports, maintenance records, hidden danger rectification notices, accident reports, and operator certificates. Data fields cover unique device identifiers, inspection cycle nodes, maintenance subject information, operator qualification numbers, and more. All use the native field formats of the supervision systems, with no additional custom units.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering link
Data for this category is scattered across multiple independent systems. The monthly update frequency requires the knowledge base to synchronize regularly. Multi-turn dialogue must match associated fields of devices, personnel, and rectification records across data sources in context association. Field rules vary across different document types. Operator certificates require verification of qualification number formats. Periodic inspection reports require matching inspection cycle nodes. Each turn of multi-turn dialogue must first identify the currently associated document type, then call the corresponding verification logic. Consequences of errors in supervision scenarios are severe. Prompts must embed compliance verification links to avoid outputting judgment content that does not meet supervision requirements.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum context length | 8000–12000 characters | Adapts to multi-turn dialogue context for special equipment supervision documents, avoids exceeding model processing limits |
| Single recall upper limit | Top 5 entries | Covers five core document types: devices, maintenance, inspection, rectification, and operators, avoids interference from redundant information |
| Question optimization switch | Enabled | In party building learning Q&A scenarios, professional supervision terminology must be converted to popular expressions while retaining accuracy of core fields |
chatId session isolation configuration | Generated by device number | Ensures dialogue contexts of different special equipment do not interfere with each other, complies with supervision data isolation requirements |
messages context truncation rule | Retain the last 3 rounds of dialogue | Reduces invalid context occupancy, focuses on core questions of current party building learning or supervision verification |
variables global variable configuration | Bound to device ID, inspection cycle fields | Enables automatic association of exclusive data for corresponding special equipment during multi-turn dialogue |
Three common configuration errors
- Symptom: The dialogue return result includes rectification records for unrelated special equipment, and the number of recalled results exceeds the configured upper limit. Cause: The single recall upper limit is not set, or recalled data is not filtered by device ID.
- Symptom: A context too long error is returned when calling the dialogue interface, with status code 413. Cause: The maximum context length is not configured, or the set value exceeds the model's supported range.
- Symptom: The configured English prompt does not take effect, and the answer is still in Chinese. Cause: The language parameter is not bound in
variables, or the prompt template is not adapted to the target language.
How to confirm the configuration is successful
- Initiate a single-turn dialogue, enter a specific device number, verify that the returned results only include document data associated with that device, to confirm the session isolation configuration is effective.
- Initiate consecutive multi-turn dialogues, verify that the context length does not exceed the preset upper limit, to confirm the maximum context configuration is effective.
- Upload a single special equipment document, initiate an associated dialogue, verify that the number of recalled documents matches the configured single recall upper limit.
- Switch the prompt language parameter, verify that the answer wording matches the configured language, to confirm the prompt configuration is effective.
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.