What the Data for This Category Looks Like
Data sources include customer drawings, special characteristic lists, ERP production management systems, MES process monitoring systems, measuring and inspection tool readings, equipment operating parameters, and supplier quality assurance documents. Data is updated via real-time collection per production batch and per shift, with some process parameters collected and synchronized continuously. Daily associated documents include control plans, process flow diagrams, work instructions, first article and patrol inspection records, SPC statistical reports, PPAP materials, and 8D corrective action reports. Data fields include special characteristic numbers, process tolerance values, batch production quantities, equipment operating durations, quality inspection results, and some fields include engineering units.
What Constraints These Characteristics Impose on Tool Calling and Plugins Workflows
This category has multi-source data that updates frequently. Tool calling must support real-time synchronization and batch pulling of multiple data sources. This prevents quotation deviations caused by delayed data. Engineering documents contain many professional fields with tolerances and parameters. Tool calling must accurately identify and associate the corresponding business logic. Subject to strict quality constraints from vehicle customers, bid documents and quotations output by tools must match the preset quality system format. They must verify the consistency between special characteristic parameters and customer requirements. The large data volume of batch production requires tool calling to adapt to single-batch data scale. This avoids single request timeouts or data truncation.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Adapts to multi-tool calling scenarios, automatically matches tool requirements for bid document generation and data pulling |
| Workflow/API function-call configuration | Enabled | Forces the model to output in a preset function format, ensuring structured extraction of quotation parameters |
| Single request timeout | 120 seconds | Matches the time requirements for pulling batch production data, prevents request interruptions caused by large data volumes |
| Knowledge base recall limit | Top 8 entries | Covers common process and quality assurance documents for batch manufacturing, avoids interference from redundant information |
| Global variable assignment rule | Associate parameters by batch | Adapts to dynamic data for each production run, ensures quotations match the process parameters of the corresponding batch |
| Maximum context length | 8000–10000 token | Carries complete customer drawing requirements, batch data and historical bid templates, avoids information truncation |
Three Common Mistakes
- Phenomenon: Structured data returned when calling the API contains empty global variable fields, or generated bid documents lack special characteristic parameters required by customers. Cause: The association between global variables and batch data from ERP/MES systems is not configured, resulting in dynamic parameters not being assigned correctly.
- Phenomenon: The model does not automatically trigger tool calling, and only outputs general reply content without tool association. Cause: The
functionCallforced triggering logic is not enabled, ortoolChoiceis set tonone, and the tool calling process is not activated. - Phenomenon: A 400 format error is returned when uploading CSV or PDF record files from measuring and inspection tools. Cause: Multipart form parameters of the HTTP request are not configured correctly, and file stream data is not encapsulated as required.
How to Confirm Proper Configuration
- Submit a test request containing batch production parameters, check whether the structured data returned by tool calling includes the special characteristics and process parameters of the corresponding batch.
- View the tool calling log, confirm that
functionCallhas been triggered, and the model output meets the preset function format requirements. The current FastGPT v4.17.0 version allows direct viewing of this log in the tool configuration panel. - Upload a single batch of SPC reports and customer drawings, verify that the recalled documents from the knowledge base cover the test scenario.
- Simulate a batch data request for 10 batches, check whether the single request is completed within 120 seconds without timeout errors.
The values provided are common starting points and should be evaluated against samples associated with the specific deployment.