What This Category of Data Looks Like
Nuclear power operation service inquiry and response data mainly comes from internal operation and maintenance process documents, on-duty inquiry ledgers, emergency response manuals, and on-site disposal records. The data update rhythm is daily synchronization for daily inquiry ledgers, and quarterly revisions for standard process manuals. Most single documents contain structured content, including fields such as inquiry number, initiating department, problem type, processing time limit, and feedback result. Some on-site records include operation steps, equipment numbers, and timestamps. Units include hours, items, person-times, and others.
Constraints Imposed by These Characteristics on the Model Access and Configuration Link
The large number of structured fields requires the model to accurately identify field names and corresponding values to avoid incorrect field mapping. Daily updated inquiry ledgers require support for high-frequency incremental synchronization in the configuration to prevent index lag from affecting responses to the latest inquiries. On-site records include equipment numbers and precise timestamps, requiring the model to associate corresponding context during invocation to ensure response accuracy. Longer individual document lengths require reasonable division of the context window in the configuration to avoid exceeding the model's processing limits. Data security requirements in public sector and state-owned enterprise scenarios also impose clear constraints on model invocation identity verification and data transmission.
How to Set the Configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Adapt to the structured content length of nuclear power operation documents, avoid truncating key process and field information |
maxTokens | 2000–3000 token | Match the conventional length of service inquiry responses, ensure coverage of complete processing steps and reference basis |
quoteMaxToken | 1500 token | Limit the length of referenced document fragments, avoid introducing irrelevant content that interferes with inquiry responses |
temperature | 0.1–0.3 | Adapt to the rigor requirements of nuclear power operations, reduce response randomness and ensure accurate process descriptions |
AIPROXY_API_ENDPOINT | Fill in according to the proxy address deployed on the enterprise intranet | Adapt to the data security requirements of nuclear power operations, prevent sensitive data from being leaked |
AIPROXY_API_TOKEN | Bind a key with exclusive permissions | Ensure only authorized nodes can invoke the model, comply with state-owned enterprise data security specifications |
Three Common Mistakes in Configuration
- Phenomenon: An interface unavailable prompt is returned when invoking the model, and inquiry data cannot be updated normally. Cause: The service is not deployed with the latest proxy image, or the proxy endpoint configuration is not updated synchronously.
- Phenomenon: The generated response does not strictly follow the preset format, and output consistency cannot be guaranteed only through prompt words. Cause: Built-in structured output configuration is not enabled, and relying solely on prompt words cannot stably constrain the output format.
- Phenomenon: Invocation of an external model in FastGPT is rejected, but the curl test runs normally. Cause: The correct proxy endpoint is not configured, or necessary identity verification parameters are missing in the request header, resulting in interception in the invocation link.
How to Confirm the Configuration Is Complete
Reference only; verify against the target FastGPT release and deployment documentation.
- Check the configuration values of
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENto ensure they match the parameters of the deployed proxy service. Basic curl testing can be used to verify connectivity. - Submit a simulated nuclear power operation maintenance inquiry question, check whether the generated response includes accurate process steps and field information, and confirm that no key content is truncated in the context window.
- Test the structured output function to confirm that the generated response meets the preset format requirements, and a standardized structure can be generated without relying on additional prompt words.
- Simulate high-frequency incremental data synchronization, check whether the index is updated normally, and ensure that the latest inquiry ledger content can be normally referenced by the model.
The values provided are common starting points and should be measured against the reader's own samples.
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.