What Data for This Category Looks Like
The data for this category comes from product drawings and 3D models, CAPP/CAM systems, machine tool collection terminals, tool management systems, MES systems, and measurement and inspection tool data. Daily documents include process routes, operation cards, tool lists, CNC programs, first-piece inspection records, inspection sheets, and measuring tool calibration records. Data updates trigger with each work order, single-piece machining, sampling inspection, or tool replacement. The document structure uses process parameters, tool life, and machine tool operating status as core fields, with no additional statistical percentage data.
Constraints Imposed by These Characteristics on Model Access and Configuration
The data sources for this category are scattered and dynamically updated with processing work orders. Model access must support batch synchronization of multi-source heterogeneous data. Daily documents include structured operation cards and tool lists, as well as semi-structured CNC programs and inspection records. Adaptation to text parsing logic for different formats is required. Data update frequency is high, so the knowledge base must support incremental updates to avoid response delays caused by full retraining. Core fields involve professional parameters such as machine tool operating status and tool wear values. Accurate field mapping must be ensured during model access to prevent parameter misalignment from reducing the accuracy of inspection and maintenance Q&A.
How to Configure Settings
The following configurations are adapted for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
AIPROXY_API_ENDPOINT | Enter the API address exclusive to the metal cutting machining scenario | Adapt to the retrieval needs of multi-source data such as machine tool data and tool management systems |
AIPROXY_API_TOKEN | Enter the scenario-specific API access key | Ensure access permission security for equipment data interfaces |
maxContext | 8000–12000 token | Adapt to the context recall needs of long texts such as CNC programs and process routes |
maxTokens | 2000–3000 token | Balance the answer length and response speed of maintenance Q&A |
quoteMaxToken | 1500–2000 token | Ensure complete recall of document content such as operation cards and inspection records |
temperature | 0.3–0.5 | Reduce random output and ensure the professionalism and rigor of inspection and maintenance suggestions |
Three Common Configuration Errors
- Symptom: An authentication failure error is returned when calling the model interface, or the oneapi test fails. Cause:
AIPROXY_API_TOKENis not configured correctly, or the key is not authorized for access to equipment data in the metal cutting machining scenario. - Symptom: Recalled operation cards and tool lists in the knowledge base have incomplete content, missing key parameters such as dimensions and wear values. Cause:
quoteMaxTokenis not set reasonably, resulting in truncated recalled document content that fails to cover core business fields. - Symptom: The specified large model cannot be switched after model access, and the exclusive knowledge base for the metal cutting scenario cannot be bound. Cause: The
toolChoiceparameter is not clearly specified in the configuration, or the exclusive knowledge base permission for the scenario is not correctly associated.
How to Verify Successful Configuration
- Run a model interface connectivity test. Confirm that the returned response content includes inspection and maintenance related terms for the metal cutting scenario, with no authentication errors.
- Trigger a knowledge base recall test. Check whether the recalled documents cover core category documents such as process routes and tool lists, with no obvious content truncation.
- Adjust the
temperatureparameter, compare Q&A results across different values, and confirm that the output meets the rigor requirements of the professional scenario. - Check the access logs of the release channel. Confirm that the new workflow logic can be called normally after the configuration is updated, and that public access permission configuration is supported.
The values provided are common starting points and should be measured against the reader's own samples.