What this category of data looks like
Data sources include workshop production ledgers, online quality inspection systems, equipment operation and maintenance logs, and metal material process specification documents. Data is updated either immediately after a single batch production is completed, or via daily bulk updates of full workshop data. Single documents are mostly structured tables or parameterized process descriptions, with fields including heat batch number, tensile strength, yield strength, defect level, and processing procedures. Units include megapascals, millimeters, percentages, and others.
Constraints imposed by these characteristics on multi-turn dialogue and prompt engineering
Structured production and quality inspection data requires multi-turn dialogue to track unique identifiers such as the currently associated heat batch number and batch number, to avoid mixing parameters across batches. For data with non-fixed update schedules, prompt configurations must include real-time data pull logic to ensure each dialogue returns the latest equipment status or quality inspection results. The feature of multiple fields with professional units requires prompt configurations to preset unit verification rules to prevent incorrect professional parameters from being output. For long-text process documents, the context window must limit the range of valid fields to avoid irrelevant content interfering with dialogue logic.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum context length | 800–1200 characters | Matches the core field length of quality inspection data or process documents for a single batch of metal materials, avoids context overflow, and adapts to the default memory limit of FastGPT v4.17.0 |
| Single knowledge base recall upper limit | Top 6 entries | Corresponds to the number of documents related to a single batch of production, avoids excessive redundant data interfering with dialogue logic |
| Dialogue context retention duration | 7 days | Matches the typical circulation cycle of workshop production work orders, facilitating retrospective multi-turn communication for the same batch |
variables configuration | Preset heat batch number and process name fields | Used to bind the production batch identifier for the current dialogue, enabling accurate data recall |
messages context management rules | Retain the last 10 dialogue turns | Covers the complete communication process for a single batch of production, avoids excessive redundant historical information |
chatId session identifier rule | Bind to production batch number | Ensures each production batch has an independent dialogue session, avoiding confusion of session data |
Three common mistakes
- Configuring a single dialogue to trigger the prompt only once but the setting does not take effect, with no corresponding setting item in the interface. The cause is that the exclusive production batch identifier for the current dialogue is not bound in
variables, causing the system to default to reusing the prompt configuration of historical sessions. - Introducing irrelevant knowledge base data when calling the dialogue interface, with results including metal material parameters from non-current batches. The cause is that the recall range is not limited via the
messagescontext rule, resulting in recall of historical documents across heat numbers. - Dialogue returns an error, with the interface displaying a parameter error. The cause is that the format of
chatIdis not verified, and an unregistered session identifier is passed in, causing the system to fail to load the corresponding context.
How to confirm proper configuration
- Initiate a query that includes a specified heat batch number, check that the returned parameters are only associated with quality inspection data for that heat number, with no cross-batch content.
- View the dialogue record list, confirm that the historical turns retained in
messagesmeet the preset 10-turn limit. - Trigger a dialogue after a process change, check that the prompt automatically updates to the latest process specification content.
- Call the dialogue interface to obtain historical records, confirm that the session data bound to
chatIdis complete and retrievable.
The values provided are common starting points and should be measured against the reader's own 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.