What Data for This Category Looks Like
Core data for fixture and gauge manufacturing includes tooling requirement documents, positioning benchmark schemes, fixture drawings, gauge operation manuals, acceptance reports, calibration records, and change histories. Data comes from product digital models and GD&T specifications, process routes, coordinate measuring machine data, on-site trial feedback, and metrology systems. Updates are managed on a per-project basis. They are triggered by product changes, and synchronized on a regular calibration cycle.
Constraints for Tool Calling and Plugin Workflows
Documents in this category have diverse types. They include structured data such as calibration records and process routes, plus unstructured content such as fixture drawings and gauge operation manuals. Tool calling must support both structured data parsing and unstructured content extraction. Data updates are triggered per project and product changes. Tool calling must adapt to dynamically updated datasets. This prevents use of outdated benchmarks or calibration data. Data sources include metrology systems and on-site feedback. Tool calling must support call formats used by industrial metrology interfaces. This ensures accurate acquisition of measured data.
Configuration Settings
These configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API function-call configuration | Mandatory mode | Restrict the model to only call preset tools for document cross-review, to prevent unintended content generation |
| Tool call timeout duration | 120 seconds | Match the processing time required for fixture drawing parsing and coordinate measuring machine data validation, to avoid task interruptions |
| Maximum single tool call count | First 6 entries | Align with the volume of associated documents for a single project, to reduce invalid calls |
| Context window limit | 8000–12000 token | Accommodate full content from multiple documents such as tooling requirement documents and calibration records |
| Tool trigger rule | Per project document set | Match the data update rhythm of category project-based management, to avoid mixing data across projects |
Three Common Configuration Mistakes
- Tool interface calls return a 413 error. The cause is that the total size of uploaded tooling documents for a single project exceeds the interface’s allowable load threshold, and uploaded files are not processed in chunks.
- When using a Tongyi Qianwen 3 series model, tool calling does not trigger as expected, and the model still generates autonomous reasoning content. The cause is that
toolChoiceis not configured for mandatory calling mode, leaving the model with autonomous reasoning permissions. - Tool calling does not trigger MCP streamable HTTP streaming responses, or cannot recognize MCP protocol call requests. The cause is that the current version does not support the streaming protocol, or the corresponding support is not enabled in configuration.
How to Verify Correct Configuration
- Initiate a test call for a single project’s document set. Check the tool call logs to confirm only preset review tools are triggered, with no autonomously generated content.
- Review tool call duration records to confirm no timeout interruptions occur. Adjust the timeout duration to match the current processing scenario.
- Cross-check tool return results to confirm only tooling document data associated with the current project is included, with no redundant cross-project content.
- Verify the interface load limit configuration. Upload the maximum document package for a single project, to confirm no abnormal error codes are triggered.
The values provided here are common starting points, and should be evaluated against the reader’s own samples.