Data profile for this category
Data for spraying and coating comes from coating supplier TDS/SDS, spray booth and oven operation data, colorimeters, film thickness gauges, environmental monitoring equipment, and MES systems. Daily documents include coating process cards, coating batch sheets, paint mixing records, film thickness and color difference reports, oven curves, defect repair sheets, and VOCs ledgers. Data update frequency aligns with each coating batch, each shift’s production run, and continuously collected equipment data. Document fields cover process parameters, material batches, test results, and environmental indicators, including industry-specific units such as film thickness, color difference, oven temperature, and VOCs concentration.
Constraints imposed by these characteristics on multi-turn dialogue and prompt engineering
Multi-source scattered data, high-frequency update rhythms, and specialized document fields for spraying and coating require multi-turn dialogue to associate process, test, and production data from different sources. High-frequency updated shift oven parameters and each batch’s coating batch sheets require dialogue context to retain the latest material and equipment status, avoiding expired data calls. Specialized field units and value requirements require prompt engineering to perform clear verification, preventing output that does not meet industry specifications. At the same time, tendering documents must align with pre-treatment, spraying, and curing windows. Multi-turn dialogue must gradually guide the supplementation of parameters for corresponding links to ensure consistency between quotations and process requirements.
This configuration is based on FastGPT v4.17.0.
Configuration settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Context window (messages) | Retain the most recent 15 turns of dialogue or 8000–12000 characters of content | Cover multi-turn process parameters, requirement changes, and historical data for a single tendering project |
Variable binding (variables) | Bind specialized fields of documents such as coating batch sheets and film thickness and color difference reports | Directly call the latest data from business data sources without manual entry |
Conversation ID (chatId) | Bind the exclusive ID of the tendering project | Distinguish dialogue contexts for different projects to avoid cross-project data confusion |
| Prompt format verification | Enable strict JSON format verification | Ensure output quotations and documents meet the document field requirements of the coating industry |
| Result output control | Only return structured quotations and document content | Filter debug-style dialogue output, aligning with the format specifications of tendering documents |
Three common mistakes
- Phenomenon: Conversation nodes continuously output debug-style content, and do not only return structured quotations as required. Cause: Result output restrictions are not configured, and default dialogue interaction logs are retained.
- Phenomenon: Data confusion occurs after multiple turns of dialogue, with parameters from different tendering projects mixed together. Cause: Exclusive
chatIdis not bound, and session contexts are not isolated by project. - Phenomenon: Quotation sheet fields are missing or the format does not meet industry document requirements. Cause: Prompt format verification is not enabled, and business document fields corresponding to bound
variablesare not clearly specified.
How to verify correct configuration
- Review of the current session’s context confirms that only the dialogue history and bound business data for the current tendering project are retained.
- Triggering a quotation generation process checks that output only includes structured tendering documents and quotation information, with no redundant debug-style dialogue content.
- After binding
variablesfields, verification confirms that called business data matches the contents of current project documents such as coating batches and test reports. - Initiating multiple consecutive interaction requests for different tendering projects confirms that session contexts do not mix historical data from other projects.
The values provided are common starting points and should be evaluated against the reader’s own samples.