Data Overview
Data sources for this category include cell banks and seed lots, process analysis, cleanroom monitoring, MES, LIMS, and equipment integrity testing. Data is updated per batch, in real time, or per monitoring plan. Daily documents include cell bank/seed lot records, culture and purification records, aseptic filling records, environmental monitoring data, media fill simulation results, sterility test reports, and batch release documents. Data fields include batch identifiers, culture temperature, cleanroom microbial limits, filling duration, sterility test results, and additional relevant fields. Corresponding units include degrees Celsius, CFU per cubic meter, hours, and other standard units.
Constraints for Multi-turn Dialogue and Prompt Engineering
Data for this category is updated per batch, in real time, or per monitoring plan. It covers multiple types of specialized production and inspection documents, and fields have detailed professional attributes. This requires multi-turn dialogue to be bound to a batch identifier to limit the context scope, and avoid confusion across batch data. The presence of multiple specialized document types requires prompts to clearly limit calls to the exclusive document subset for this category, preventing irrelevant data from being included. Quality traceability requires complete retention of historical dialogue and associated data, ensuring complete supporting evidence is available for every analysis round. Dialogue records must support storage isolated by user, to prevent cross-mixing of traceability data across different batches. The dialogue context management capability provided by FastGPT v4.17.0 can adapt to these constraints.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Bind to the current production batch ID | Ensure dialogue context only associates with data for the corresponding batch, avoiding cross-batch confusion |
messages | Retain complete historical dialogue records for the current batch | Support context continuity for multi-turn traceability, ensuring complete supporting evidence for each analysis round |
variables | Preset exclusive variables such as batch number, cleanroom number | Quickly call LIMS and MES data for the corresponding batch, improving traceability efficiency |
| Maximum context length | First 8 dialogue turns + associated documents not exceeding 1800 characters | Control context length, avoiding redundant data interfering with professional analysis |
| Maximum documents per call | 3 exclusive production and inspection document types | Focus on core data, preventing irrelevant information from being introduced by non-essential documents |
| Dialogue record isolation | Bind storage to user identity | Ensure different operators can only view traceability dialogue records associated with themselves, complying with data isolation requirements |
Three Common Misconfigurations
- Symptom: An empty value or incorrect batch-associated data is returned when calling the
chatIdrelated interface. Cause: ThechatIdis not bound to the production batch ID, causing the system to fail to match exclusive data for the corresponding batch. - Symptom: Different users in a shared application can view other users' traceability dialogue records. Cause: Dialogue record isolation storage is not configured, and the storage path and access permissions for dialogue are not bound to user identity.
- Symptom: The returned dialogue record list does not match the user's query, or the offset parameter does not function as expected. Cause: The
variablesparameter is not included in the request to limit the batch scope, causing returned data to span batches or not be sorted by dialogue time order.
How to Verify Proper Configuration
- Initiate a quality traceability dialogue, enter the specified batch number, and confirm that the returned associated data only includes document content for that batch. This verifies that the
chatIdbinding configuration is effective. - Invite two different operators to initiate traceability dialogue for the same batch, and confirm that each can only view dialogue records they initiated. This verifies that the dialogue record isolation configuration is correct.
- Call the dialogue record list interface, adjust parameters, and confirm that the order and quantity of returned data meet expectations. This verifies the configuration effect of the
messagesand offset parameters. - Review the prompt configuration content, and confirm that only the exclusive production and inspection document subset for this category is limited for calling. This verifies that the prompt scope meets business requirements.
The values provided are common starting points and should be measured against the reader's own samples.