What this category of data looks like
The data used for engineering consulting supervision declaration material and file review comes from project supervision logs, construction submission forms, sub-item acceptance records, and cost accounting documents. Teams update this data weekly or in stages alongside project construction progress. A single file package typically includes multiple pages of structured documents and scattered attachments. Document fields cover project number, supervision unit, submission content, rectification and closure status, acceptance conclusion, and other relevant details. Supporting units use engineering-specific measurement standards including square meters, ten thousand yuan, and construction period days.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering link
Single file packages have relatively long content. Multi-turn dialogue must limit context length to prevent model overload. The engineering-specific attributes of fields and units require prompts to clearly map to corresponding business parameters, otherwise verification logic deviations will occur. Data has a high update frequency. The knowledge base must regularly sync the latest submission materials, otherwise expired content will be called during dialogue. Multi-turn dialogue must be bound to the corresponding project file. Declaration material fields vary across different projects. Failure to bind chatId will cause cross-project data confusion.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Bind project unique number + file serial number, format [project number]-[file serial number] | Distinguish dialogue contexts for different supervision project files, avoid cross-file data confusion |
messages | Retain the most recent 10-15 dialogue turns, automatically archive content beyond this number to offline storage | Engineering file review dialogue usually focuses on multi-turn verification of a single file. Excessively long context will dilute key information |
variables | Preset supervision business-specific variables including {supervision unit}, {submission amount}, {acceptance conclusion} | Quickly fill in business parameters, reduce repeated prompt writing, and improve dialogue consistency |
| Maximum context length | 8000-12000 tokens, calibrated based on actual testing | Single file packages usually contain thousands of characters, and need to cover core verification content |
| Question optimization | Enabled, optimized for engineering terminology | Engineering consulting has exclusive professional terminology. Optimization improves the model's understanding accuracy of business content |
Three common misconfigurations
- When starting a single file review dialogue, the interface displays no selected knowledge base, but the knowledge base is called normally during debug preview. Cause: The supervision file-specific knowledge base is not bound to the dialogue flow corresponding to
chatId. Preview mode calls the global knowledge base by default. After going live, the mapping rule between projects and knowledge bases is not configured. - Dialogue logs cannot be cleaned as required. Cause: The automatic archiving rule for
messagesis not configured. Retaining all dialogue content leads to excessive storage resource consumption. - Field deviations appear in multi-turn dialogue verification results. Cause: The prompt fails to clearly distinguish the verification logic between declaration materials and file archive materials, confusing the business rules of the two types of reviews.
How to confirm the configuration is complete
- Initiate multi-turn questions targeting a single file, verify that preset
variablesautomatically fill in corresponding business fields. - View the dialogue log, confirm that only the most recent 10-15 dialogue turns are retained, and content beyond this number has been archived to offline storage.
- Switch to different project
chatIdvalues to initiate dialogue, confirm that each dialogue only calls the exclusive knowledge base content of the corresponding project. - Input ultra-long engineering file materials, confirm that the model does not experience context overload or logical confusion.
The values provided here are common starting points and should be measured against the user'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.