What the Data for This Category Looks Like
Data for this category comes from design drawings, material quality certificates, welding equipment parameters, welding material warehouses, non-destructive testing systems, and personnel qualification ledgers. Daily documents include welding procedure qualifications, welding procedure specifications, welding material consumption records, welder qualification records, weld inspection reports, and repair orders. Data updates follow the rhythm of each weld, each batch of materials, or each shift’s operations. Fields include weld numbers, welding material batch numbers, welder certification numbers, testing values, and more. Units involve millimeters, hours, batch codes, and more. There is no unified batch aggregation update rule.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering by These Characteristics
Data for this category is scattered across multiple independent systems. Multi-turn dialogue requires cross-source association of different types of contextual information such as welds, welding materials, and personnel qualifications. Data update frequency is high: new data is generated for every weld, every batch of materials, or each shift’s operations. Dialogue must pull the latest ledgers and testing results in real time to avoid using expired information. Document fields include rigid constraint items such as welder certification numbers and procedure qualification numbers. Prompt engineering must verify field completeness and compliance, while also following the iterative association logic of repair orders and inspection reports.
How to Set Up the Configuration
This configuration is based on FastGPT v4.17.0, with the following specific settings:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum context length | First 1200–1500 characters | Matches the average length of documents related to a single weld, to avoid truncating critical qualification and testing information |
| Question optimization switch | Enabled | For multi-turn verification scenarios, automatically sorts out missing key fields such as welder qualifications and welding material batch numbers |
| Variable binding rule | Bind weld number, welding material batch number | Associates real-time data from welding material warehouses and personnel qualification ledgers, adapts to the high-frequency update rhythm, and passes business fields via the variables parameter |
| Single conversation history limit | Retain the first 8 rounds of dialogue | Matches the typical number of dialogue rounds per shift’s operations, prevents the messages array from being too long and consuming resources |
| Timeout threshold | 60 seconds | Adapts to the typical response duration for pulling testing data across systems, balancing real-time performance and stability |
Three Frequently Made Mistakes
- A Request Time error occurs during dialogue, the interface displays a request timeout prompt, and logs include timeout status codes. The cause is that the timeout threshold is set too short, and does not adapt to the response duration for pulling non-destructive testing data across systems.
- Multi-turn dialogue context is lost, and subsequent questions cannot associate previously mentioned weld information. The cause is that the
chatIdparameter is not used correctly to bind the session, and a new session ID is generated for each dialogue, making it impossible to continue historical context. - Audit results omit rigid fields, and do not include welder certification numbers or procedure qualification numbers. The cause is that the prompt engineering does not explicitly list constraint fields, and does not trigger the variable verification logic.
How to Verify Successful Configuration
- Initiate a multi-turn question targeting a single weld, check whether subsequent dialogue can associate previously mentioned welding material batch numbers and welder information.
- View the session details page, confirm that the
chatIdparameter matches the unique weld number. - Simulate submitting an audit request with missing fields, check whether the prompt engineering triggers field completion prompts.
- Test cross-system data pulling, confirm that non-destructive testing results are returned within the preset timeout threshold.
The values provided are common starting points and should be measured against the reader's own samples.