What the data for this category looks like
Data sources for construction engineering quality and safety supervision include the project quality and safety supervision system, on-site construction real-name platform, supervision logs, and test reports. Daily business documents include supervision plans, supervision inspection records, hidden danger rectification notices, quality problem handling forms, and completion acceptance supervision reports. Data updates happen weekly. Fields cover supervision subjects, inspection points, hidden danger levels, rectification completion status, acceptance milestones, and more. Units include on-site point counts, rectification time limit days, and similar metrics. Different documents use distinct dedicated field sets. Calls must be differentiated based on business scenarios.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The weekly data update cadence means the knowledge base synchronization cycle for multi-turn dialogue and prompt engineering must match this rhythm. This avoids using outdated supervision or party building content. Differentiated fields across multiple business document types require prompts to use dedicated recall rules for each document type. This ensures associated content matches user questions accurately. The multi-source data system requires multi-turn dialogue to separate contexts from different data sources. This prevents confusion between business information from different systems. Combined party building learning and quality and safety supervision scenarios require prompts to link business data and party building content. They also require limiting the context window to avoid redundant data interference. This ensures Q&A stays targeted.
How to set the configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Knowledge base synchronization cycle | 7 days | Matches the weekly update frequency of business data to ensure timeliness of Q&A content |
| Context window | First 12 turns of dialogue + latest 3 weekly documents | Adapts to context requirements for multi-turn party building + quality and safety supervision Q&A, avoids interference from redundant information |
messages parameter | Splice context in conversation chronological order | Complies with standard interaction logic for multi-turn dialogue, ensures accurate context transmission |
variables parameter | Inject current supervision site ID, inspection cycle | Enables scenario-based precise Q&A, associates business data for the corresponding site |
| Number of recalled documents | Top 5 entries | Covers major business document types, balances comprehensiveness and conciseness of Q&A |
chatId parameter | Bind to a single supervision project session | Ensures multi-turn dialogue context does not cross project boundaries, maintains session independence |
Three common mistakes
- Calling the dialogue interface returns authentication failure. Cause: Incorrectly using appId as the interface secret key, and failing to correctly obtain the dedicated API secret key.
- After configuring English prompts, Chinese business terms appear confused in Q&A results. Cause: Failing to synchronize the field names of business documents to English, resulting in a mismatch between prompts and recalled documents.
- Uploaded supervision logs are not recalled to the Q&A context. Cause: Failing to configure recall rules for the corresponding document type, and failing to specify retrieval keywords for this type of document.
How to confirm the configuration is complete
- Initiate the first party building learning Q&A about a supervision inspection record, verify that the returned content includes the field information of the corresponding supervision record.
- Initiate 3 consecutive rounds of Q&A associated with different business documents, verify that the context is correctly retained without content gaps.
- Wait 7 days to check the knowledge base synchronization status, confirm that the latest hidden danger rectification notice has been recalled to the knowledge base.
- Call the
variablesparameter to inject a test site ID, verify that the Q&A result matches the business supervision data for the corresponding site.
The values provided here 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.