What the data for this category looks like
Data for this category comes from design drawings, material quality certificates, welding equipment parameters, filler metal inventories, 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 work orders. Data updates occur per single weld, per batch, or per shift. A single update corresponds to the inspection parameters of one weld, filler metal issue details, or a welder’s daily work records. Document fields include weld number, base material grade, filler material batch number, welder qualification certificate number, non-destructive testing results, number of repairs, and others. Field units match the corresponding measurement standards based on document type.
Constraints imposed on tool calling and plugins by these characteristics
The high-frequency fine-grained updates, multi-source heterogeneous data traits, and rigid quality constraint requirements of this category create multiple constraints for the tool calling and plugins link. High-frequency updates require tool calling to support triggers per single weld, per batch of materials, or per shift, to avoid delays from batch processing. Multi-source data sources require plugins to adapt to the interface formats of different data sources such as design drawings, filler metal inventory ledgers, and non-destructive testing systems, to ensure accurate field parsing. Rigid constraints for welder qualification and welding procedure qualification verification require tool calling to include built-in field compliance judgment logic, to intercept missing or invalid fields in a timely manner.
How to configure settings
This page’s configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | Set to auto and bind three types of tools: filler metal verification, welder qualification verification, and non-destructive testing interpretation | Adapt to quality audit requirements across multiple links of this category, automatically call corresponding tools to complete verification |
| Trigger timing configuration | Trigger per single weld, per batch of materials, or per shift | Match the data update rhythm of this category per weld, per batch, or per shift |
| Error retry count | 3 times, 5-second interval | Respond to temporary interface fluctuations from welding equipment and non-destructive testing systems, reduce call failures |
| Data source mapping rules | Match corresponding field mappings by document type | Adapt to parsing requirements for multi-source heterogeneous data such as design drawings, filler metal inventory ledgers, and non-destructive testing reports |
| Workflow/API function-call configuration | Enable forced function call mode | Ensure tool call results return structured verification fields, facilitating subsequent compliance judgment |
| Context window limit | Calibrate based on actual testing | Adapt to the context length of single-batch weld data, avoid exceeding the model’s processing limit |
Three common misconfigurations
- A
unAuthApiKeystatus code is returned during calls, prompting abnormal data acquisition. The cause is failure to correctly configure the API key for tool calling, or the key’s permissions not covering the data source interfaces of the filler metal inventory and non-destructive testing systems. - The model call log reports an error that only stream mode is supported, and synchronous calls cannot be completed. The cause is failure to enable stream mode adaptation in the FastGPT model configuration, and forced use of non-stream synchronous call logic.
- Weld inspection report data cannot be loaded after upgrading the PgVector plugin. The cause is failure to update the data source mapping rules, and failure to match the field parsing format of the new plugin version, resulting in failure to normally read fields such as weld number and test results.
How to verify proper configuration
- Trigger a simulated single weld audit process, check whether the tool automatically calls the corresponding filler metal verification and welder qualification verification tools.
- View the call log, confirm that the returned result is a structured verification field, with no unstructured free text output.
- Simulate an interface exception scenario, check whether retries are triggered according to the configured retry count and interval, with no repeated calls or direct failures.
- Verify the data source mapping rules, confirm that the field matching relationships for different document types are consistent with actual business data.
The values provided are common starting points and should be validated against in-house samples.