This configuration guide applies to FastGPT v4.17.0.
What this category of data looks like
The data for this category mainly comes from design drawings, material quality certificates, welding equipment parameters, filler metal inventory, non-destructive testing systems, and personnel qualification ledgers. Daily documents include welding procedure qualifications, welding procedure specifications, filler metal issue records, welder qualification records, weld inspection reports, and repair orders. Data updates are triggered upon completion of each weld, each batch of workpieces, or each shift’s operations. Document fields cover weld numbers, filler metal models, equipment operating parameters, welder qualification levels, non-destructive testing results, etc. There is no unified fixed format, and it is dynamically adjusted according to production batches.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Data sources are scattered and dynamically updated with production nodes. Multi-turn dialogue must real-time associate the latest ledger data such as filler metal issues and welder qualifications. Prompts must clearly define the data scope. Each weld corresponds to independent process and inspection records. Dialogue context must be isolated by weld batch to avoid mixing data across batches. Update frequency is high and there is no fixed format. Prompts must guide users to clearly specify weld numbers or production batches to prevent calling expired or mismatched documents. Quality constraints are rigid. Dialogue must strictly match welding procedure qualifications and welder qualifications. Prompts must embed qualification verification logic to ensure Q&A results comply with production specifications.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Generate a unique identifier per weld batch | Each weld corresponds to independent production data, requiring isolation of dialogue context across different batches |
messages | Retain the first 15 rounds of dialogue content within the current batch | Welding processes and inspection records are mostly associated with in-batch operations, so cross-batch history does not need to be retained |
variables | Bind weld number, filler metal model, welder qualification number | Core business fields must be automatically synchronized with dialogue to avoid repeated input |
| Maximum context length | 800–1200 characters | Welding-related documents are mostly structured short texts; overly long context may interfere with prompt verification logic |
| Tool call timeout | 60 seconds | Equipment inspection data retrieval needs to return in real time; a timeout will interrupt the maintenance Q&A workflow |
| Historical dialogue loading | Only load historical variables from the current batch | Prevent cross-batch data mixing, which aligns with production data isolation requirements |
Three Common Configuration Errors
- Issue: After a user deletes a dialogue linked to a non-login link, the background operation log is also cleared. Cause: Independent storage rules for dialogue logs and user operation logs are not configured, and dialogue data is incorrectly bound to logs.
- Issue: When a workflow node attempts to load historical global variables in a new dialogue, the corresponding batch’s weld parameters cannot be obtained. Cause: Batch variables are not bound via
chatId, resulting in unisolated global variable scope. - Issue: When calling the MySQL tool to retrieve equipment inspection data, a 400 status code is returned with no response body. Cause: The required equipment number and detection time range are not clearly specified in the prompt, leading to missing tool call parameters.
How to Verify Successful Configuration
- A simulated dialogue is initiated, a specified weld number is input, and the system’s automatically bound variables including filler metal model and welder qualification are verified to match preset parameters.
- The MySQL tool is called to retrieve data, and the system’s return of equipment inspection records corresponding to the weld is checked to confirm no missing parameter transfer.
- The current dialogue is deleted, and background logs are checked to confirm retention of dialogue records and operation traces, verifying that the log isolation rule is active.
- A cross-batch simulated dialogue is initiated, and the inability to load global variables from the previous batch is confirmed, verifying that the context isolation configuration is correct.
The values provided are common starting points and should be measured against the reader's own samples.