What this category of data looks like
Daily documents for this category include production process specifications, batch production records, cleanroom zone records, sterilization batch records, inspection reports, software version records, adverse event and traceability materials. Data sources cover design history files, device and material batch ledgers, MES systems, clean environment monitoring equipment, sterilization equipment, and inspection and calibration systems. Data is updated after each batch of products or each piece of equipment finishes production; clean environment data is updated periodically per monitoring plans. Document fields include controlled fields such as unique device identification, sterilization parameters, cleanroom zone temperature and humidity, material batch numbers, and most formats combine structured tables and long-form text.
What constraints do these characteristics impose on model access and configuration
Data sources for this category are scattered and highly controlled. It is necessary to adapt to the access formats of multi-system data, while supporting incremental updates by batch or monitoring cycle. Documents contain a large number of professional controlled fields. The model must accurately identify and associate fields with process requirements to avoid matching deviations. Data update frequency is high, so flexible index refresh rules must be configured to ensure retrieved content matches the latest production records. In addition, Q&A results are directly linked to production compliance. The accuracy of model-generated content must be strictly controlled to avoid incorrect citations or missed key standards caused by improper parameter configuration.
How to set the configuration
The following configurations are based on FastGPT v4.17.0 and are formulated for the business characteristics of this category:
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Documents in this category are mostly long-form process specifications and batch records, requiring sufficient context to associate multiple sections of process requirements |
maxTokens | 4000–6000 token | Responses must cover complete process steps and standard details to avoid truncating critical compliance content |
quoteMaxToken | 2000–3000 token | Original fragments of controlled documents must be referenced, retaining complete field information to ensure compliance |
temperature | 0.1–0.3 | Process Q&A must strictly match standard requirements, avoiding content generation that deviates from specifications |
| Workflow/API tool selection | auto | Document retrieval tools must be automatically called based on question type, adapting to different process and standard query scenarios |
AIPROXY_API_ENDPOINT | Enterprise internal proxy or local service address | Adapt to locally deployed index models or cloud service addresses, such as the local docker-deployed M3E service address, while adapting to enterprise intranet environments to prevent production data leaks |
AIPROXY_API_TOKEN | Enterprise-specific authentication token | Control access permissions to meet compliance requirements for medical device production |
Three common configuration mistakes
- Symptom: The classify module cannot select the target AI model during configuration, but the published workflow can call it normally. Cause: Access configuration was not completed in the global model list; only temporary references within the workflow were made, which do not take effect.
- Symptom: A timeout error occurs when initiating a process Q&A request, with logs showing the request duration exceeds the preset range. Cause: The request time after long document retrieval was not adapted, and context parameters were not reasonably configured, causing the model to take too long to load data.
- Symptom: When using the qwen3 model to call tools, redundant reasoning content is generated, and it is impossible to force restriction to only tool call mode. Cause: The
toolChoiceparameter was not correctly configured to the specified mode, or call rules were not clearly constrained in the system prompt.
How to confirm the configuration is complete
- Upload a single sterilization batch record to the index library, test retrieval matching accuracy, and confirm it complies with preset association rules.
- Initiate a question related to process specifications, check that the length of the referenced document fragment in the returned result matches the
quoteMaxTokenconfiguration. - Simulate batch requests, verify that
maxContextdoes not trigger a context overflow error, and ensure long document queries work normally. - Check the authentication configuration, confirm that only authorized users can access the model access page to meet compliance requirements.
The values provided here are common starting points and should be measured against the reader's own samples.