What the data for this category looks like
The data for construction machinery declaration material and file review mainly comes from equipment factory certificates, monthly maintenance records, project acceptance documents, official compliance test reports, and internal enterprise declaration approval forms. Data updates align with project progress. Single-batch declaration materials are static documents submitted in bulk. Historical file data consists of archived review records, sorted by equipment serial number and declaration batch. The document structure includes fields such as equipment model, serial number, rated load, operating hours, and compliance inspection items. Units include dedicated engineering parameters such as piece, hour, MPa, and kN.
Constraints imposed by these characteristics on multi-turn dialogue and prompt engineering
Construction machinery declaration materials include long-text compliance reports and multi-field parameters. Multi-turn dialogue must maintain context consistency to avoid mixing up the review logic of different equipment. Historical file data is classified by equipment serial number. Prompts must accurately bind dedicated fields to prevent parameter errors during cross-batch review. The number of multi-turn interactions for a single declaration is limited. Context length must be controlled to avoid redundant information interfering with the current review step. The equipment serial number is the unique identifier. Multi-turn dialogue uses this identifier to link corresponding materials and files, ensuring no deviations in the review process.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Maximum context length | 8000–12000 token | Adapts to the long text length of complete machine drawings and compliance reports in construction machinery declaration materials, preventing truncation of key parameters |
| Conversation ID binding | Bind chatId field | Generate exclusive conversation IDs based on equipment serial numbers, ensuring review conversations for different declaration batches do not interfere with one another |
| Prompt variable binding | Bind variables field | Inject dedicated engineering parameters such as equipment model and rated load, ensuring the review logic accurately matches the current declaration content |
| Number of historical messages recalled | Top 5 entries | Matches the standard review rounds for a single file, avoiding redundant historical information from disrupting current judgments |
| Maximum character count per single reply | 2000 characters | Adapts to the standard output length of review opinions, preventing page loading issues caused by overly long content |
Reference only; verify against the target FastGPT release and deployment documentation.
Three Common Misconfigurations
- Historical conversation content is lost after switching models, preventing continuation of the current review process. This occurs when context persistence for the
messagesfield is not configured, causing the model to clear the conversation cache during a switch. - Declaration parameters from other equipment are included during multi-turn review, leading to incorrect review results. This occurs when the
chatIdfield is not bound, causing conversations for different devices to share context. - Prompts cannot call custom engineering fields, causing the review logic to mismatch actual declaration materials. This occurs when the
variablesfield is not correctly bound, and dedicated parameters are not injected.
How to Verify Correct Configuration
- Upload a construction machinery declaration material, initiate the first round of the review conversation, and confirm that the bound equipment serial number is displayed in the conversation history.
- Switch models, then view the historical message list to confirm the full prior review conversation content is retained.
- Clear the conversation records for the current batch, and confirm only the current conversation content is deleted, with no impact on review conversations for other equipment.
- Enter custom engineering parameters, confirm that the review prompt correctly calls this parameter and generates matching review opinions.
The values provided here are common starting points, and should be validated against your own specific 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.