What Data for This Category Looks Like
Data for this category originates from safety production supervision systems, enterprise self-inspection hazard systems, law enforcement inspection records, and accident statistics systems. Update frequency is daily. Daily documents include hazard inspection checklists, hazard governance ledgers, rectification notices, review records, and major hazard suspension and supervision orders. Data fields include hazard level, rectification responsible entity, rectification deadline, review conclusion, and others. All use standard formats from supervision or internal enterprise systems, with no additional custom units.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
Since data is updated daily, multi-turn dialogue must sync the latest hazard governance ledgers and rectification records. This prevents use of outdated information that disrupts inspection and judgment. Document types cover multiple formats including inspection checklists and rectification notices. Prompts must clearly distinguish field rules for different documents, and adapt to query logic for fixed fields such as hazard level and rectification deadline. For closed-loop tracking of major hazards, multi-turn dialogue must retain each round of question and response context via messages. This ensures continuity of tracking rectification responsibilities and deadlines. Data source standardization also requires prompts to limit query scope to official supervision or enterprise self-inspection data. This prevents cross-source data confusion.
Configuration Settings
The following configurations are formulated for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
messages | Retain the last 8 rounds of dialogue context, with each round's content not exceeding 1200 characters | Adapt to multi-turn tracking requirements for the entire hazard rectification process, avoid context overflow affecting logical coherence |
variables | Bind dedicated data variables for hazard inspection checklists and rectification ledgers | Accurately call fields exclusive to this category, avoid mismatches between general variables and business data |
chatId | Divide chatId by enterprise, park, or supervision level | Isolate hazard data for different entities, prevent cross-scenario data confusion |
| Maximum context length | 8000–10000 token, calibrated based on actual testing | Cover complete content of multiple document types including hazard inspection checklists and rectification notices |
| Question optimization | Enabled, optimize queries for safety production hazard terminology | Adapt to exclusive judgment standards and business terms for this category, improve dialogue understanding accuracy |
| Single search limit | Top 6 matching results | Balance query efficiency and information completeness, avoid redundant data interfering with inspection judgment |
Three Common Misconfigurations
- Issue: Unable to adjust the large model temperature parameter, and dialogue response rigor does not meet the judgment requirements for hazard inspection. Cause: No binding item for temperature parameter configured via
variables, or corresponding parameter setting interface not enabled. - Issue: Only current query content can be obtained in multi-turn dialogue, and historical query context cannot be called. Cause: Context retention rules for
messagesnot properly configured, only current single-round input loaded. - Issue: Dialogue response content takes more than 600 seconds to return, but only 1 group is shown in model call grouping. Cause: Context length for
messagesnot limited, leading to excessive historical data loading per dialogue, extending model response time.
How to Verify Proper Configuration
- Initiate a multi-turn dialogue involving querying historical rectification records, verify whether the dialogue context retains specified rounds of questions and response content.
- Call the database connection plugin to query dedicated fields of hazard inspection checklists, verify whether returned results match the standard document structure of this category.
- Adjust parameters bound via
variables, verify whether large model responses adapt to exclusive terms and judgment logic for safety production hazards. - View dialogue response time logs, confirm that single interaction time meets preset requirements for the business scenario.
The values provided are common starting points and should be evaluated 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.