What the Data for This Category Looks Like
Data for this category comes from PLM, ERP, MES, supplier materials, validation tests, and customer-specific requirements. Updates are triggered irregularly each time a change occurs. Daily processed documents include ECN/ECR, change assessment reports, drawings and BOM version files, process validation reports, transition plans, inventory disposal documents, and customer approval documents. Fields include change number, version number, effective date, affected process scope, validation results, and approval status. There is no unified fixed single-document length limit. Some documents include structured tables and engineering drawings.
Constraints on Model Integration and Configuration
Data sources for this category cover multiple heterogeneous systems. Documents include structured tables, engineering drawings, and text content, and updates follow no fixed schedule. This requires model integration to adapt to the needs of multimodal data parsing and multi-source data correlation analysis. The information chain associated with changes is lengthy. It is necessary to ensure that the model context window can accommodate complete change-related document fragments to avoid truncation of critical traceability information. Change analysis results directly affect production scheduling and customer delivery. It is necessary to ensure the stability of model calls and output consistency, so configuration must balance flexibility and controllability.
How to Set Up the Configuration
This document applies to FastGPT v4.17.0. The following configuration items are set via the model integration interface of this version:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 12000–15000 token | Adapts to the associated context length of multiple documents such as ECN and BOM, avoiding truncation of critical change and traceability information |
maxTokens | 4096 token | Matches the output length requirement for process change analysis, ensuring complete generation of traceability paths and impact scope |
quoteMaxToken | 2000 token | Limits the length of quoted document fragments, focusing on core process and material data affected by changes |
| Workflow/API tool selection | auto | Allows the model to independently choose whether to call tools to complete change correlation analysis and data extraction |
vision | Enabled | Supports parsing visual content of engineering drawings and BOM tables, adapting to drawing-based documents in this category |
temperature | 0.3 | Reduces randomness, ensuring consistency and accuracy of change traceability results |
Three Common Configuration Errors
- A connection failure error occurs when configuring a self-hosted VLLM model. The cause is that
AIPROXY_API_ENDPOINTis not filled with the correct interface address for model deployment, orAIPROXY_API_TOKENdoes not match the model access permissions. - Engineering drawings cannot be parsed after enabling visual analysis. The cause is that the
visionconfiguration item is not enabled correctly, or the integrated model does not support visual modal inference. - Model tool call output is interrupted mid-process. The cause is that
maxTokensis set beyond the maximum output limit supported by the current model, or network fluctuations occur during the request causing a connection drop.
How to Verify Successful Configuration
- Access the configured
AIPROXY_API_ENDPOINTto verify that the model interface can normally return inference results or embedding vectors. - Upload an ECN document and associated engineering drawings, trigger model change analysis, and check whether change number and affected process information can be correctly extracted.
- Initiate a complete change traceability request, confirm that the output result is complete without truncation, and there are no error logs.
- Adjust the
temperatureparameter to 0.3, repeat the same request twice, and confirm the consistency of the output results.
The values provided are common starting points and should be measured against the reader's own samples.