What the data for this category looks like
Production ledger data for tooling, fixture and gauge manufacturing comes from product 3D models and GD&T specifications, process route documents, coordinate measuring machine data, on-site trial feedback records, and metrology system calibration data. Data updates are triggered by individual project progress, each product design change, and regular calibration cycle updates. Daily associated documents include tooling requirement documents, positioning datum schemes, fixture assembly drawings, gauge operation instructions, acceptance reports, calibration records, and change history ledgers. Data fields include tooling number, positioning datum parameters, clamping force value, coordinate measuring detection deviation value, calibration cycle, and change version number. Units include millimeters, newtons, hours, and others.
What constraints do these characteristics impose on multi-turn dialogue and prompt engineering
Data for this category is managed by project and scattered across multiple types. Multi-turn dialogue needs to accurately associate exclusive documents for the corresponding project. The context range must be limited to avoid mixing in irrelevant data. Updates have no fixed cycle and are triggered by product changes. Prompts need to support dynamic matching of the current project’s change history, and cannot rely on static global context. The data includes professional metrology parameters. Multi-turn dialogue must guide users to clearly specify the tooling number or project name to prevent confusion between ledger content from different projects. The existence of change history requires the dialogue context to retain sufficient historical interactions to trace ledger information from different versions.
How to set the configuration
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum context window | 8000–12000 token | Adapts to the length of multiple types of professional documents for this category, avoiding context overflow |
messages field filtering | Only retain dialogue content associated with the current project | Prevents confusion of cross-project ledger data, aligns with project-based update rules |
variables preset | Tooling number, project name, calibration cycle | Quickly locate exclusive ledger documents, matches the field characteristics of this category |
| Session context binding | Bind current project by chatId | Ensures multi-turn dialogue always associates with tooling and gauge data for the same project |
| Document recall limit | Top 6 relevant entries | Adapts to the multi-document structure of this category, avoiding information overload |
| Prompt validation rule | Generate a report only after matching at least 2 preset variables | Ensures summary content only targets the ledger for the current project |
Three common mistakes
- Phenomenon: Tooling ledger content from different projects is mixed during multi-turn dialogue. Cause: The current project context is not bound by
chatId, resulting in the use of cross-project dialogue history. - Phenomenon: Prompts fail to limit the LLM to only return content within the ledger, and irrelevant professional terms or external information appear. Cause: The prompt does not bind the exclusive document range and variables for this category, and non-ledger data is not filtered.
- Phenomenon: Ledger information from historical change histories cannot be traced. Cause: The context recall rule is incorrectly configured, only retaining the most recent round of dialogue, and not associating version change records from historical interactions.
How to confirm the configuration is correct
- Enter the preset tooling number and project name, check whether the generated ledger report only includes document content for the corresponding project.
- Switch between different
chatIdvalues, confirm that dialogue contexts do not share ledger data across projects. - Initiate multi-round follow-up questions, check whether the system can associate change history information from historical interactions.
- Test triggering report generation, confirm that summary results are only generated after matching preset variables.
The values provided here are common starting points and should be measured against the reader's own samples.