What the data for this category looks like
Daily documents for this category include formula sheets, water treatment records, blending records, sterilization or aseptic filling records, packaging material inspection sheets, and finished product inspection sheets. Data comes from water source and raw material testing, formula systems, online sugar and acidity monitoring equipment, filling equipment, visual inspection systems, and LIMS systems. Data is updated for each production batch, during shift patrols, and through continuous collection of equipment parameters. Document fields include batch number, feeding value, testing time, equipment number, abnormal records, and other items. Some parameters have clear physical units.
What Constraints These Characteristics Impose on Multi-Turn Dialogue and Prompt Words
The multi-batch, real-time updated data characteristics of this category require multi-turn dialogue to retain context associated with the batch, to avoid mixing data across batches. Continuously collected equipment parameters sync the latest status during dialogue. Prompt words must clearly specify parameter unit matching rules, to ensure review results correspond to actual detected values. This category has many document fields, including details such as specific feeding amounts and testing times. Prompt words for multi-turn dialogue must guide gradual disassembly of association logic, for example, first match the consistency between the formula sheet and water treatment records, then verify the compliance of parameters in the filling link. Frequent production batch updates require the dialogue process to quickly switch the context of the review batch, to ensure the accuracy of cross-review.
How to Set the Configuration
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Bind the unique identifier of the current production batch | Ensure multi-turn dialogue context is tied to the corresponding production batch, avoid mixing data across batches, based on FastGPT v4.17.0 context management logic |
messages | Retain the context content of the first 20 turns of dialogue | Cover the complete review process for a single batch, avoid missing key historical questions or parameters |
variables | Pass in the batch number and product type parameters of the current batch | Allow the large model to accurately associate the document data currently under review, narrow the retrieval scope, and improve review efficiency |
| Maximum context length | 8000–12000 characters | Cover the total content of multiple documents for a single batch, meet the association requirements for cross-review |
| History memory switch | Enable and limit association to the current batch | Prevent cross-batch historical context from interfering with the current review logic |
| Question decomposition threshold | Calibrate based on actual testing | Match the field complexity of documents in this category, ensure that decomposed small questions can be verified one by one |
Three Common Misconfigurations
- Phenomenon: No document reference identification field appears in the results returned by the dialogue request interface. Cause: The document reference association function is not enabled in the configuration, or the batch parameter in
variablesis not passed to the retrieval logic, resulting in failure to match the reference identification of the corresponding document. - Phenomenon: The abnormal question raised in the previous turn cannot be retained in multi-turn dialogue, and the reply in the next turn does not associate the question keywords. Cause:
chatIdis not bound, or the context retention turn setting is too low, resulting in the historical dialogue context being cleared. - Phenomenon: After the thinking process output is enabled in the configuration, the thinking process content is not displayed in the dialogue history record. Cause: The proxy configuration does not synchronously enable the history record storage switch, or the thinking process content is not written to the specified position of the
messagesarray.
How to Confirm the Configuration Is Complete
- Launch a cross-review dialogue for a single batch, verify whether the reply associates the exclusive document fields of the current batch. This can be checked by entering questions related to the specified batch.
- Launch multiple consecutive questions, verify whether the reply in the next turn retains the questions or parameters mentioned in the previous turn. This can be checked through progressive questioning.
- View the content returned by the interface, confirm whether it includes identification information related to document references.
- Check the dialogue history record, confirm that the multi-turn context is completely retained, and no key content is lost.
The values provided here are common starting points, and should be evaluated against the samples relevant to the actual use case.