What the data for this category looks like
Core data for this category comes from customer product models, mold flow or forming simulation files, CAD/CAM output files, machining and measurement data, and sample test part inspection records. Daily documents include mold design task sheets, DFM reports, part drawings, machining process cards, mold trial reports, mold modification notices, and mold history records. Core fields include mold number, project number, machining parameters, number of mold trials, and defect rectification records. Updates are performed per project, with synchronized updates after each mold trial or modification.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Data sources for this category are scattered, and iterations happen independently per project. Multi-turn dialogue must strictly isolate context for different mold projects to avoid data cross-interference. Document structures vary and include specialized engineering fields. Prompts must guide accurate extraction of data matching the document type. Frequent mold trial and modification updates require full retention of modification traces in dialogue history. At the same time, context scale must be limited to ensure response efficiency. Otherwise, data redundancy or response lag is likely.
Configuration Settings
These configurations are adapted for FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
chatId | Bind project-specific session ID | Isolate dialogue context for different mold projects to prevent cross-project data interference |
messages | Concatenate the most recent 10 dialogue history entries in chronological order | Retain complete records of mold modification iterations to support tracing modification traces |
variables | Bind mold number and project ID fields | Match core identifiers of business documents to ensure dialogue is linked to the correct production ledger |
| Maximum response tokens | 2000–3000 tokens | Adapt to multi-field integration needs for ledger summary, avoiding truncation of critical data |
| Number of documents loaded per request | First 3 associated project documents | Limit data scale to ensure fast dialogue response |
Three Common Misconfigurations
- Ledger data from a non-current mold project appears in dialogue logs. This occurs because a dedicated
chatIdwas not bound, leading to cross-project dialogue context interference. - Slow response after parsing process documents larger than 10 MB. This occurs because the volume of document data loaded per request was not limited, resulting in excessive system resource usage.
- Failure to retrieve question-and-answer results from the associated knowledge base via API. This occurs because the dialogue interface was not correctly called to bind knowledge base variables, confusing configuration logic between basic dialogue and knowledge base association.
How to Verify Proper Configuration
- Initiate a test dialogue, enter the current mold project number, and confirm the returned ledger data only includes content for this project.
- Upload a process card document of approximately 10 MB, and verify that dialogue response time meets business expectations with no obvious lag.
- Call the
messagesinterface to view dialogue history, and confirm only session records for the current project are retained, with no cross-project data included. - Check the
variablesconfiguration item, and confirm core business fields such as mold number and number of mold trials have been bound without omission.
The values provided here are common starting points and should be evaluated against the reader's own samples.