What This Category of Data Looks Like
Data sources for this category include online composition analysis equipment, DCS control systems, laboratories, kiln and grinding production equipment, raw and fuel ledgers, and energy metering systems. Data update frequencies cover three categories: real-time, shift-based, and daily. Daily documents include raw material batching plans, kiln operation records, laboratory reports, quality control notices, equipment inspection records, and energy consumption reports. Data fields cover physical and chemical parameters of raw and fuel materials, kiln temperature operating condition indicators, grinding fineness parameters, energy consumption values, and quality inspection results. Units include degrees Celsius, tons, megajoules, and others.
Constraints for Multi-turn Dialogue and Prompt Engineering
Real-time updated operating condition data requires multi-turn dialogue to retain recent valid context. Do not reference expired kiln thermal parameters. Differences in fields across multiple document types require prompts to explicitly specify retrieval scopes. Only call content from documents matching the target business scenario. Shift-based and daily updated report data allow on-demand retrieval of historical records from specified cycles during dialogue. For batching adjustment scenarios involving raw and fuel fluctuations, multi-turn dialogue must gradually transmit raw and fuel composition parameters. Iteratively generate suitable raw material batching plans. Wording must strictly match process specifications and technical standards. Avoid generating content that violates production regulations.
Configuration Settings
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Automatically generate a unique identifier per session | Implement context isolation and association for multi-turn dialogue, ensuring data from different sessions does not interfere with each other |
messages | Retain the most recent 15–20 turns of dialogue content | Adapt to the timeliness of real-time operating condition data, avoiding reference to expired kiln or grinding parameters |
variables | Bind current production shift and workshop parameters | Quickly retrieve inspection records, energy consumption reports, and quality inspection data from the corresponding cycle |
| Maximum context length | 8000–12000 token | Cover complete business scenarios including raw material batching, kiln thermal regulation, and grinding parameter adjustment |
| Single retrieval limit | Top 5–7 matching documents | Control the volume of returned content, avoiding redundant data interfering with dialogue logic |
| Question optimization | Enabled | Automatically convert colloquial questions into professional wording compliant with process specifications and technical standards |
Three Common Mistakes
- 422 error returned when calling the dialogue interface. Cause: The
messagesparameter was not passed correctly, the parameter format does not meet system requirements, or knowledge base variables for the corresponding production scenario were not bound. - Context sharing issues occur in multi-turn dialogue. Cause: No unique
chatIdidentifier was set, or thevariablesparameter was not used to pass user identifiers. Dialogue records across different sessions interfere with each other without user isolation configuration. - Corresponding content cannot be retrieved after file upload. Cause: Formats exclusive to this category of documents such as raw material batching plans and laboratory reports were not configured for support. Only some basic formats were enabled.
How to Confirm Proper Configuration
- Initiate a test dialogue, enter "Query today's raw material batching plan". Verify the returned content includes parameters for the current shift and contains no expired data.
- Initiate two or more independent dialogues. Check that contexts from different sessions do not interfere with each other, confirming
chatIdis active. - Upload a raw material batching plan document. Initiate a related query, confirm the system can retrieve the corresponding content.
- Call the dialogue interface for testing. Check that no 422 error is returned, confirming parameters are passed correctly.
The values provided are common starting points and should be measured against the reader's own samples.