What the data for this category looks like
The administrative consultation data for metal material processing originates primarily from internal industry process standard libraries, quality inspection report archives, and government service workflow guides. Data updates are adjusted when new national or industry specifications are released, and alongside quarterly routine inspection results. Most individual documents are structured entries, with fields including material grade, tensile strength, yield strength, heat treatment process parameters, administrative approval nodes, and required submission material lists. Units follow internationally adopted industrial standards, such as MPa, mm, hours, and similar units.
What constraints these characteristics impose on the tool calling and plugins workflow
The large number of structured fields and strict industrial unit requirements mean that parameter matching for tool calls must precisely correspond to preset field names. Otherwise, the correct corresponding data cannot be returned. Data from multiple sources is stored separately in process standard libraries, quality inspection archives, and government service systems. Multiple independent tool calling entry configurations are required to connect to different data sources respectively. Administrative consultation often involves parameter queries targeting specific material grades. Tool calls must support precise filtering and recall of results by grade to avoid returning irrelevant content.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | auto | Adapts to the need for AI to independently determine whether to call tools in administrative consultation scenarios, without forced triggering |
| Maximum number of single tool calls | Top 3 entries | Core parameters for metal material processing administrative consultation are mostly concentrated in fewer than 3 fields, avoiding redundant returns that interfere with consultation results |
| Tool call timeout period | 120 seconds (90-150 seconds based on actual testing) | Industrial data queries require loading multi-source archives, and this duration covers most conventional query scenarios |
functionCall | Force matching preset field names | Metal material processing data fields are strictly unified, so tool return results must fully correspond to preset fields to avoid format errors |
| Plugin trigger condition | Trigger when material grade or approval node keywords are included | Administrative consultation questions mostly revolve around specific material grades or government service workflows, and precise triggering reduces invalid tool calls |
Three common configuration errors
- Symptom: The tool call is not executed after triggering. The AI directly answers the question using natural language, and the interface log shows that the
toolChoiceparameter is not effective. Cause: ThetoolChoiceparameter is not correctly set toautoor forced call mode, so the AI does not trigger the tool call logic. - Symptom: The Doc2x plugin fails to recognize structured process parameter fields when processing uploaded metal material processing corpus. Cause: No industrial domain field mapping rules are specified in the plugin configuration, so the plugin cannot accurately extract core fields such as grade and mechanical properties.
- Symptom: Inconsistent units appear in tool call return results, and unit conversion errors occur for some parameters. Cause: No unit verification rules are configured for the plugin, and the industrial standard unit system for metal material processing is not strictly matched.
How to verify correct configuration
- Submit a consultation question containing a specific material grade, check whether the corresponding tool is triggered in the tool call log, and confirm that the
toolChoiceparameter is effective. - Upload a quality inspection report for metal material processing, process it via the Doc2x plugin, and check whether the extracted fields include core information such as grade and tensile strength.
- Simulate a timeout scenario, confirm whether the configured tool call timeout period covers the conventional query duration, and adjust the configuration to match actual data loading speeds.
- Test a consultation question containing irrelevant keywords, confirm that the tool call is not triggered, and verify the effectiveness of the plugin trigger condition configuration.
The values provided here are common starting points, and should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.