What the data for this category looks like
Core data for this category includes resin batch property sheets, injection molding machine operating parameters, mold temperature controller temperature control records, MES system production data, first-piece inspection records, material change and machine cleaning records, and mold history. Data updates after each production batch completes, each mold change or material change operation, and after each shift inspection. Daily documents include structured injection molding process cards, raw material drying records with moisture content fields, and periodically maintained mold archives. Fields include mold temperature in degrees Celsius, injection pressure in megapascals, and raw material batch numbers in string format.
What constraints these characteristics impose on model access and configuration
Frequently updated production data requires model context to adapt to frequently refreshed document content, avoiding loss of key production parameters due to context truncation. Associating multiple types of documents requires the model to link injection molding process cards, mold history, and real-time operating data to output targeted inspection and maintenance recommendations. Injection-specific parameter units and terminology require the model to accurately identify and standardize outputs, preventing operational errors caused by format or terminology mistakes. Serious error consequences require maintenance plans and parameter recommendations output by the model to have high stability, reducing random errors.
How to set the configuration
The following configuration items are formulated based on the interface and parameter rules of FastGPT v4.17.0.
| Configuration Item | Recommended Setting Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Adapts to context association for multiple types of injection molding documents, avoids truncation of process parameters and mold history content |
maxTokens | 2000–3000 token | Meets long-response requirements for equipment inspection and maintenance Q&A, including fault analysis and complete solutions |
temperature | 0.2–0.4 | Reduces output randomness, ensures consistency of injection-specific terminology and parameter units |
| Workflow/API tool selection | auto | Allows the model to independently call tools to query real-time injection molding machine parameters and mold maintenance records |
AIPROXY_API_ENDPOINT | Fill in the exclusive address provided by the platform | Adapts to network environment requirements for domestic or overseas model calls |
AIPROXY_API_TOKEN | Bind the valid key corresponding to the target model | Ensures legal and valid interface call permissions |
Three common configuration mistakes
- Interface calls return a 429 status code, prompting QPS limit exceeded. The cause is failing to adjust the QPS threshold according to the batch call rhythm of injection molding production, triggering platform call limits frequently.
- Maintenance steps output by the model do not use standard Markdown formatting, and parameter units are labeled incorrectly. The cause is failing to configure prompt words adapted to injection-specific terminology, or setting
temperaturetoo high which causes excessive output randomness. - After configuring
AIPROXY_API_TOKEN, the specified model cannot be called, and the platform interface displays a model list that does not match official channels. The cause is failing to bind the exclusive key corresponding to the target model, or failing to enable the target model permission in platform configuration.
How to confirm configuration is complete
- Submit an inspection query that includes injection molding machine pressure parameters, and verify that parameter units in the returned result match local documents.
- Initiate 3 identical types of queries consecutively, check that the return format stably conforms to the preset Markdown structure.
- View platform interface call logs, confirm that there are no errors in the matching of
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKEN. - Trigger a scenario query after mold change or material change, verify that the model can associate mold history with current injection parameters.
The values provided are common starting points and should be measured against the reader's own samples.