Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
The policy and regulatory basis data for nuclear power operations mainly comes from official regulatory documents released by the National Nuclear Safety Administration and the National Energy Administration, as well as internal operation and maintenance execution rules and industry standard documents from nuclear power enterprises. Data update cycles are triggered by regulatory revisions and enterprise process adjustments, with no fixed schedule. Most documents have a hierarchical clause structure, including fields such as regulatory number, issuing authority, effective date, and applicable reactor unit types. Some internal documents include operation and maintenance procedures and compliance check items. Unit formats mostly use national standard document numbers and YYYY-MM-DD date formats.
What constraints these characteristics impose on the "model access and configuration" link
Official regulatory and internal document data sources are scattered, so multi-source data access paths must be configured to cover all policy content. Documents have multiple levels and dense professional terminology, so context capacity must be adjusted to cover complete policy segments and avoid truncation of key clauses during retrieval. Fields include regulatory numbers and effective dates, so corresponding fields must be matched during retrieval to improve result accuracy. Update cycles are not fixed, so an incremental synchronization mechanism must be configured to ensure data timeliness. These characteristics require that model access must adapt to multi-source data formats, adjust context parameters to accommodate long documents, and strictly match field rules to avoid retrieval deviations.
How to set the configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Nuclear power policy documents are mostly long texts, requiring capacity to hold multiple regulatory clauses and associated interpretive content |
maxTokens | 2000–3000 token | Responses must fully cover details of policy clauses and avoid truncation of key compliance requirements |
quoteMaxToken | 1200–1500 token | Full quotation of original regulatory document fragments is required to ensure response compliance and credibility |
toolChoice | auto | Automatic judgment of whether to call retrieval tools for policy data is required to adapt to dynamic Q&A scenarios |
temperature | 0.1–0.3 | Policy Q&A requires strict accuracy, reducing randomness of generated content |
AIPROXY_API_ENDPOINT | Fill in according to the actual path of the local deployment node | Adapt to network configuration for local API access |
Three common configuration mistakes
- The first issue: In locally deployed versions,
vision-related configuration options do not appear. The cause is that the visual model adaptation compilation option for the open-source version is not enabled, so the image understanding function is not loaded. - The second issue: The model directly refuses to answer nuclear power policy questions outside the knowledge base. The cause is that
toolChoiceis set to forced retrieval mode, no fallback answer logic is configured, and retrieval matching rules are not adjusted. - The third issue: Retrieved policy document fragments are incomplete. The cause is that the
maxContextconfiguration value is too low to accommodate complete regulatory clause content.
How to confirm the configuration is correct
- Upload a nuclear power safety regulatory document to the knowledge base, perform retrieval matching, and confirm that the returned context length falls within the configured
maxContextrange. - Submit a Q&A request related to nuclear power policies, and confirm that the token count of the generated response does not exceed the
maxTokenslimit, with no content truncation. - Check API call logs to confirm that
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENconfigurations are valid, with no authentication failure or connection timeout errors. - Adjust the
temperatureparameter to 0.2 and 0.3 respectively to run tests, and observe that changes in the strictness of response content meet expectations.
The values provided here are common starting points and should be evaluated against samples from the relevant deployment.
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.