What the data for this category looks like
The data for this category comes from resin batches and property sheets, injection molding machine parameters, mold temperature machines, manufacturing execution systems (MES), and dimensional and visual inspection equipment. Daily retained documents include injection molding process cards, raw material drying records, mold history logs, first article inspection reports, patrol inspection forms, and material change and machine cleaning records. Data is updated synchronously per production batch, each mold change or material swap operation, and at the end of each shift. Data fields include raw material grade, drying temperature and duration, injection molding machine screw speed, holding pressure, mold cavity temperature, plastic part dimensional tolerances, and others, with units including degrees Celsius, megapascals, revolutions per minute, millimeters, and more.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The high update frequency and scattered sources of data for this category require that multi-turn dialogue must real-time associate the latest production data, to avoid calling outdated process or equipment records. There are many specialized fields in daily documents, so prompt engineering must clearly specify the document types and corresponding fields to be retrieved, such as the recycled material ratio in raw material drying records, and the filling and holding pressure parameters in injection molding process cards. Bid quotations need to integrate cross-source data to calculate costs, and multi-turn dialogue must gradually guide the clarification of the plastic part type and batch of the bid project, then link to the corresponding mold history logs and raw material property data, to avoid missing key cost calculation dimensions. At the same time, the effective range of dialogue context must be limited to prevent calling historical batch data unrelated to the current bid project.
How to set the configurations
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Unique identifier bound to the current bid project | Ensures coherent context for multi-turn dialogue within the same project, avoiding cross-project data confusion |
messages | Retain the first 18 rounds of dialogue content | Covers the complete communication process for a single bid project, preventing key context from being truncated |
variables | Preset three types of variables: raw material grade, injection molding machine model, and mold number | Quickly retrieves exclusive production data for the category, reducing redundant input steps |
| Maximum context window | First 12000 tokens | Adapts to the multi-dimensional data volume of plastic injection molding, balancing context completeness and response speed |
| Dialogue log retention period | 180 days | Meets the traceability requirements of bid projects, matching the regular retention cycle of production data |
| Data recall limit | Top 7 latest production records | Avoids redundant data interfering with dialogue focus, focusing on valid accounting basis for the current bid project |
Three Common Misconfigurations
- Issue: The prompt cannot correctly identify spaces in raw material grades, resulting in failure to retrieve the corresponding resin property sheet data. Cause: The prompt fails to explicitly specify that fields must retain spaces, and does not provide format instructions for fields with special formatting.
- Issue: When calling the application via the API release channel, multi-turn dialogue cannot be continued, and each request is treated as a new conversation. Cause: The
chatIdparameter is not included in the API request, making it impossible to associate historical dialogue context. - Issue: Some historical dialogue logs cannot be viewed, and the interface displays empty content or throws an error. Cause: The Docker configuration does not correctly mount the log storage volume, or the dialogue log retention rules do not match business requirements.
How to Verify Correct Configuration
- Initiate a simulated bid dialogue, enter the target plastic part type and production batch, and verify whether the system automatically associates the preset exclusive variables and retrieves the production data for the corresponding category.
- Initiate two consecutive dialogue requests using the same
chatId, and verify whether the context is coherent and there is no repeated request for the same information. - Check the system configuration to confirm that the dialogue log retention rules match business traceability requirements, and that historical dialogue records can be queried normally.
- Verify the prompt guidance process, and confirm that the generated bid documents include core category-specific content such as injection molding process parameters and raw material cost accounting.
Note that the configuration values listed above are common starting points, and should be validated against the reader's own samples and business requirements.