What This Category of Data Looks Like
Data sources for this category include design history files, device and material batch records, MES systems, clean environment monitoring equipment, sterilization equipment, and inspection and calibration systems. Data updates are tied to each product batch or unit. It is also synced regularly per clean environment monitoring plans. Daily documentation covers production process specifications, batch production records, clean zone records, sterilization batch records, inspection reports, software version records, and adverse event traceability materials. Fields include unique identifiers for critical materials, sterilization batch numbers, clean zone temperature and humidity thresholds, software version numbers, and other relevant fields.
Constraints on Model Access and Configuration
Data is updated per batch or device, and includes high-risk traceability and sterilization information. Ensure the data sync link matches the update rhythm during model access. This prevents indexing of outdated data. Multiple document types have significant structural differences. Adapt retrieval logic for different fields. Prioritize recalling key identifiers such as unique device identifiers. Data includes adverse event records related to patient safety. Strictly limit the model’s call scope during configuration. This prevents sensitive information leaks. Clean environment monitoring data has high real-time requirements. Adjust data update trigger rules to match production cycles.
Configuration Settings
These configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
AIPROXY_API_ENDPOINT | Fill in the proxy interface address for your deployment, such as https://api.example.com/v1/chat/completions | Matches the dedicated model call link for medical device data, avoids path errors or cross-domain issues |
AIPROXY_API_TOKEN | Fill in the team-specific authentication token | Ensures only authorized members can call models, complies with data access permission control requirements |
maxContext | 8000–12000 token | Adapts to context recall for long documents such as batch production records and sterilization batch records, covers complete production data for a single batch |
quoteMaxToken | 2000–3000 token | Limits the length of a single piece of data referenced from the knowledge base, avoids exceeding the model’s context limit, and retains critical process parameters |
maxTokens | 1500–2000 token | Controls the response length for a single round of maintenance Q&A, ensures output complies with format requirements for clean production compliance documents |
temperature | 0.2–0.4 | Reduces generation randomness, ensures consistency between maintenance guidance and process specifications, and avoids generating content that does not meet compliance requirements |
Three Common Misconfigurations
- A model call returns a 404 page not found error, with proxy identifier 1746685187328469. The cause is an incorrect path configured for
AIPROXY_API_ENDPOINTor an invalid token. The proxy service’s interface rules are not properly matched. - Relevant files are indexed, but the model does not reference their content in its response. The cause is that
quoteMaxTokenis set too small. This truncates recalled document fragments so the model cannot read them, or the knowledge base association retrieval switch is not enabled. - Team member model usage records cannot be viewed in team management. The cause is that associated parameters for team permission auditing are not configured, or the authentication token does not have auditing permissions enabled.
How to Verify Successful Configuration
- Initiate a test call. Enter an inspection question related to sterilization batch records. Check if the returned result references sterilization parameters from the corresponding document.
- Check the configuration of
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKEN. Verify that the call link is working correctly via proxy service logs. - Adjust the
temperatureparameter to 0.3. Initiate multiple rounds of testing with the same question. Confirm that the consistency of response content meets expectations. - View the team management permission panel. Confirm that model call auditing is enabled, and member usage records can be viewed.
The values provided are common starting points. They should be evaluated against your own specific samples.