What This Type of Data Entails
Data originates from special equipment safety supervision systems, inspection and testing institution systems, user ledgers, and operator certificate databases. Updates occur monthly. Daily review documents include use registration certificates, periodic inspection reports, maintenance records, hidden danger rectification notices, accident reports, and operator certificates. Each document includes fields such as equipment number, inspection cycle, maintenance unit, and operator qualification number. No unified cross-system field format exists. A single case file typically contains 3 to 5 different types of documents.
Constraints for Multi-turn Dialogue and Prompt Engineering
Dispersed data sources with no unified format require multi-turn dialogue to associate context from different sources for cross-document verification. Monthly updated data sources require prompt engineering to regularly calibrate data timeliness rules. Field differences across multiple document types require multi-turn dialogue to guide users to clarify document types. Prompt engineering must specify field matching logic. The most time-consuming verification step requires retaining key information from earlier checks to avoid repeated input.
Configuration Recommendations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Bound to the case file’s unique ID | Cases are independent review units. Binding preserves full multi-turn dialogue context for the same case, avoiding cross-case data confusion |
messages | Retain the most recent 15–20 dialogue turns | Special equipment review requires multiple rounds of verification for equipment information and qualification documents. This range covers key information from earlier checks, calibrated through actual testing |
variables | Preset equipment type and inspection cycle fields | Automatically associates equipment ledger data from the system, reducing repetitive manual input steps |
| Maximum context length | 800–1200 characters | The core review materials for a single case have information density concentrated in this range, preventing overly long contexts from causing the model to deviate from review goals |
| Historical document recall limit | Top 5 entries | Only recalls associated materials from the current review batch, avoiding interference from irrelevant historical data on current verification |
Three Common Misconfigurations
- Symptom: Unable to clear dialogue history by case dimension after local deployment, resulting in redundant data. Cause: Failed to configure the rule to bind
chatIdto the case, mistakenly using global dialogue as the cleanup unit. - Symptom: The model’s inspection cycle verification results do not match the ledger, leading to incorrect matching. Cause: Failed to limit the prompt to only use preset equipment fields from
variables, introducing irrelevant historical data. - Symptom: Operator certificate numbers entered earlier in multi-turn dialogue cannot be reused, requiring repeated input. Cause: Did not retain enough
messagescontext, leading to loss of key information.
How to Verify Correct Configuration
This verification process follows the functional logic of FastGPT v4.17.0.
- Initiate a multi-turn dialogue for a single case file, confirm the previously entered equipment number is automatically reused in subsequent steps.
- Review the
chatIdconfiguration, confirm it is bound to the case file’s unique ID to prevent cross-case context confusion. - Check the maximum context length setting, confirm it stays within the preset range with no high load warnings.
- Test the dialogue cleanup operation, confirm only the
messagescontext of the current session is cleared, with no impact on other case files.
The values provided are common starting points and should be evaluated against local deployment 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.