Data structure for this category
Data sources include material grade standards, customer technical requirements, on-site temperature control instruments, furnace temperature uniformity test reports, hardness testers and metallographic testing equipment, and workshop MES systems. Daily documents cover heat treatment process cards, charging layout drawings, real-time furnace temperature curves, part hardness and metallographic analysis reports, equipment inspection forms, and exception handling sheets. Data updates occur per furnace charge or production batch. Each single document includes fields such as heating temperature, holding duration, cooling rate, material grade, charging position, and test values. Common units include degrees Celsius, seconds, megapascals, millimeters, and similar standard units.
Constraints for multi-turn dialogue and prompt engineering
Frequent data updates require dialogue contexts to link to the latest batch process parameters in real time. This prevents use of outdated historical data. Multiple heterogeneous document types need clear classification recall rules defined in prompts. This ensures accurate matching of document fields during dialogue. Professional fields in single documents need preset validation logic in prompts. This stops responses that violate industry specifications. Multi-turn dialogue must track the current interaction’s batch information. This avoids mixing parameters across batches. Context length must also be limited to align with the real-time requirements of heat treatment data.
Configuration guidelines
These configurations apply to FastGPT v4.17.0. The following details are provided:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Context | First 10 turns of dialogue + latest 3 furnace charge documents | Aligns with per-furnace data update frequency, avoids context overload that slows response speed |
| Question Optimization | Enabled, add context for heat treatment technical terms | Matches industry professional terminology habits, improves recall accuracy for process documents |
messages format | Split system prompts, user questions, and recalled documents by role | Clearly distinguishes between professional documents and interactive content, complies with multi-turn dialogue parameter specifications |
variables configuration | Bind current batch furnace number and material grade | Incorporates current production-specific parameters in real time, prevents mixing of process parameters across batches |
| Single Recall Limit | Top 4 matched documents | Covers core document types including process cards, furnace temperature curves, and test reports, reduces redundant information interference |
Three common configuration errors
- An empty knowledge base field error appears during debug preview conversations. This occurs when current batch-specific parameters are not bound in
variables, so the dialogue cannot match the corresponding furnace charge’s process documents. - The maximum response token count automatically drops to 200 for specific technical questions, even if the configured limit is above 3000. This happens when the prompt does not clearly define output scope for technical content, or recalled long documents trigger implicit platform truncation rules.
- Knowledge base content cannot be updated in real time during dialogue. This occurs when no knowledge base synchronization logic is configured for dialogue triggers, so newly generated exception handling sheets cannot be recalled by subsequent dialogue interactions.
How to verify correct configuration
- Submit a process query that includes a specific furnace number. Check that returned parameters match the corresponding batch’s process card and furnace temperature curve.
- Trigger a long-text analysis question such as furnace temperature curve deviation analysis. Confirm that response length aligns with configured limits, with no unexpected truncation.
- Submit a new exception handling sheet. Ask a related question, and confirm that the dialogue can recall content from this new document.
- View the dialogue context associated with
chatId. Confirm that batch parameters across multi-turn interactions do not mix across batches.
The values provided here are common starting points. They should be evaluated against your own specific samples and use cases.