What the Data for This Category Looks Like
This category’s data sources include safety production supervision systems, enterprise hazard self-inspection systems, law enforcement inspection records, and accident statistics systems. The update frequency is daily. Daily documents include hazard inspection lists, hazard governance ledgers, rectification notices, review records, and major hazard suspension and supervision orders. Document structures include fields such as hazard description, responsible entity, rectification requirements, and closed-loop status. All documents are linked via a unified hazard number. The data covers the full process from hazard discovery to cancellation and archiving. Fields correspond to core business handling nodes, providing standardized business information support for multi-turn dialogue.
Constraints on Multi-turn Dialogue and Prompt Engineering From These Data Characteristics
Multiple and scattered data sources require multi-turn dialogue to integrate field information from different systems, avoiding information fragmentation. The daily update feature requires dialogue contexts to synchronize the latest inspection and rectification data, ensuring responses align with current business status. Multiple document types with clear fields require prompt engineering to specify corresponding field extraction, ensuring core information such as rectification responsible parties and review records is not omitted during dialogue. The most time-consuming links of standard-based inspection, rectification tracking, and review and cancellation require multi-turn dialogue to guide users to complete information entry step-by-step according to the process, while verifying the completeness of required fields to prevent process interruptions.
Configuration Settings
For FastGPT v4.17.0, use the following configuration items:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Multi-turn dialogue context length | 800–1200 characters | Adapts to the number of dialogue turns and business document length for daily hazard inspection, avoiding context overload |
variables binding | Bind business fields of hazard inspection lists and rectification ledgers | Enables calling local standardized business data during dialogue |
| Session timeout period | 600 seconds | Covers the full process time from hazard inspection to review and cancellation |
| Number of retained message history entries | First 5 core dialogues | Reduces the impact of redundant information on response speed, while retaining key process nodes |
| Variable validation rules | Validate that rectification responsible party and review record fields are not empty | Ensures complete required information for business processes, preventing process interruptions |
| Question optimization | Enabled | Simplifies non-standard user input to match the field format of business documents |
Three Common Configuration Mistakes
- Symptom: A 400 status code is returned when calling the dialogue interface, with a prompt indicating missing required fields. Cause: The
chatIdormessagesparameters are not correctly passed in the request, making it impossible to establish or continue the context association for multi-turn dialogue. - Symptom: The generated response does not link to local hazard inspection lists or rectification ledger content. Cause: The prompt engineering does not bind the business data fields corresponding to
variables, and only relies on a general knowledge base to generate content. - Symptom: The dialogue process is interrupted and cannot proceed to the rectification step. Cause: No variable validation rules are set, leading to proceeding to the next link without collecting required fields such as rectification responsible party and review records.
How to Verify Correct Configuration
- Initiate a test dialogue, enter "Inspect electrical hazards in a specified area", and verify whether the response automatically links to the corresponding entry in the local hazard inspection list.
- Conduct a multi-turn dialogue test, enter "Rectification responsible party is Zhang San" followed by "Review result is qualified", and verify whether the system retains context and references this information in subsequent steps.
- Pass the
chatIdandmessagesparameters when calling the interface, and check whether the returned result includes correct business fields and context association content. - Simulate a timeout scenario, set a short timeout period to initiate a dialogue, and confirm whether a timeout prompt is triggered to verify that the timeout 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.