What data for this category looks like
Data sources for this category include special equipment safety supervision systems, inspection and testing institution systems, user account ledgers, and operator certificate repositories. Daily documents include use registration certificates, periodic inspection reports, maintenance records, hidden danger rectification notices, accident reports, and operator certificates. Core fields cover equipment identifiers, inspection status, maintenance cycles, personnel qualifications, rectification progress, and other key details. Data is updated monthly, with synchronized updates for full equipment archives, inspection results, and personnel qualifications.
Constraints for model access and configuration
Accessing multi-source heterogeneous data requires adapting to the export formats of different systems. Synchronization rules compatible with multiple data sources must be configured. The monthly fixed update feature requires setting up periodic synchronization tasks in the model access link. This ensures real-time matching between knowledge base data and supervision systems. Document types include structured certificates and unstructured reports, so vectorization processing logic must be adapted for different text structures. The strict nature of supervision data limits randomness in model outputs, while ensuring the context length is sufficient to accommodate complete equipment lifecycle archives.
How to set configurations
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Adapts to the long text characteristics of special equipment archives, accommodating complete equipment registration, inspection, and rectification records |
maxTokens | 2000–3000 token | Ensures complete output of supervision judgment basis for single-round conversations, avoiding truncation of key rectification requirements or inspection conclusions |
toolChoice | auto | Adapts to tool call requirements for multiple scenarios such as qualification verification and hidden danger query in daily office work, automatically triggering corresponding logic |
temperature | 0.1–0.3 | Ensures the rigor of supervision judgments, reducing the risk of judgment deviations caused by random outputs |
AIPROXY_API_ENDPOINT | Fill in the node deployed on the internal office network | Adapts to access restrictions of internal networks for state-owned enterprises and public sector entities, ensuring compliant and controllable model call links |
AIPROXY_API_TOKEN | Bind the exclusive key generated by FastGPT v4.17.0 | Ensures identity verification security for model calls, preventing unauthorized interface access |
Three common mistakes
- The symptom is that after migrating a knowledge base, all text content is displayed on the knowledge base page, but the model prompts that the knowledge base is empty when a conversation is started. The cause is that the vector index update for the knowledge base has not been completed, or the trigger rules for context synchronization have not been correctly configured.
- The symptom is that a 400 status code is returned when calling the MCP tool, but the model responds normally when the tool is not called. The cause is that the tool call parameters do not match the interface format of the large language model, and the
toolChoiceparameter has not been correctly set to adapt to the model's capabilities. - The symptom is that when creating a new question classification node, an error is triggered when using the initialized AI model to run or save and publish, and there is no abnormality when switching to other models. The cause is that the API key of the initialized model has not been bound, or the interface permissions have not been configured to adapt to the internal office scenario.
How to confirm the configuration is complete
- Initiate a query containing a specific special equipment identification number, confirm that the model can return the corresponding equipment’s registration information, inspection cycle, and maintenance records.
- Trigger a tool call request, verify that the MCP tool can normally retrieve relevant data about operator qualifications or hidden danger rectification.
- Check the knowledge base synchronization logs, confirm that the monthly automatic synchronization task has completed without abnormal errors.
- Adjust the
temperatureparameter to the 0.1–0.3 range, verify that the output content remains rigorous and consistent with no random deviations.
The values provided are common starting points and should be evaluated using samples tailored to the specific deployment environment.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.